Why Every Google Ads Account Needs To Run Scripts

Most PPC marketers love talking about automation, Smart Bidding, and the latest AI-powered magic Google rolls out. But the truth is that none of those shiny features can save your account from the actual threats: human error, broken websites, overspending budgets, bad conversion data, brand safety violations … the list goes on and on.

That’s where Google Ads scripts come in.

Scripts are the unglamorous robots behind the scenes. They automate grunt work, protect your budget, enforce account hygiene, and alert you before a minor issue becomes a five-figure disaster. They’re free, easy to use, safe to test, and thanks to modern large language models, anyone can build or customize them – even without coding skills!

If you manage Google Ads accounts and you’re not using scripts, you’re working too hard and taking unnecessary risks.

I am here to tell you today: Every account should have Google Ads scripts running. Here’s why:

1. Automate The Grunt Work (The Tedious Tasks That Eat Your Life)

Every PPC professional has a short list of tasks they love … and a very long list of tasks they tolerate out of necessity. Scripts exist for that second list – the repetitive, time-draining, soul-evaporating work that must get done but doesn’t require human creativity.

Let’s look at some examples and include some free scripts.

Budget Pacing

Google has a very relaxed attitude toward daily budgets. One day, it only spends 60% of your daily budget; the next day, it decides to impress you with a 180% increased spend. Great. But not if your client expects a steady pace and has strict budget requirements.

A pacing script brings sanity by monitoring both daily and month‑to‑date spend, projecting where your budget will land by the end of the period, and alerting you whenever Google begins to overspend or drift off pace. It highlights pacing issues early and gives you room to adjust budgets proactively – or even automate those adjustments entirely.

Instead of hoping Google behaves, pacing scripts make sure your budget does.

Fixing Your Product Feeds

Any ecommerce manager will tell you: Feeds break constantly, usually at the worst possible moment (think Black Friday, or Christmas, anyone?).

Instead of leaving you to manually sift through thousands of items, scripts take on the heavy lifting. They can flag missing or invalid GTINs long before they cause disapprovals, detect broken product URLs that quietly tank performance, and surface best-selling items that have suddenly been disapproved.

Scripts also help uncover missing attributes such as sizes or colors (details that matter for relevance), and can even rewrite product titles dynamically using real search term data to improve impression quality and match user intent more effectively.

In short, Google Ads scripts help you maintain a clean, high-performing product feed that supports both Shopping and Performance Max success.

Automated Reporting

Manual reporting is tolerable for one account. Maybe two. Beyond that? No thanks.

The PPC Manager who screams “I love creating client reports” … be sure to tell me when you find one.

Instead of forcing you to manually assemble slides, screenshots, and spreadsheets, scripts take over the entire reporting pipeline. They can automatically export daily, weekly, and monthly performance reports, push the data directly into Google Sheets, and generate clean performance summaries without you lifting a finger. They also build trend dashboards that stay updated in real time, and can even work alongside an LLM to prepare and send a client email that includes the report, along with a short, auto‑generated overview of the key highlights.

You get reporting consistency without sacrificing your weekends.

2. Boost Account Performance & Cut Wasted Spend

Scripts don’t just save time; they actively improve performance. They reveal inefficiencies humans overlook and take action instantly.

Search Term Analysis & N-Gram Exclusions

N-gram analysis is one of the most underrated PPC tactics. It breaks queries into word chunks so you can identify patterns of waste.

Instead of manually combing through endless search term reports, a script can take over the entire process by pulling all queries, breaking them into n‑grams (small one‑, two‑, or three‑word patterns) and analyzing which of those patterns consistently fail to convert. It then identifies common waste phrases and can even auto‑suggest or apply negative keywords based on what it finds.

If “free,” “DIY,” or “near me” is burning budget across thousands of queries, you’ll know. And you’ll fix it.

Pausing Non-Converting Products in Shopping & PMax

No one has time to manually audit thousands of SKUs.

Scripts can automatically pause products after X spend without conversions, or down-bid poor performers by automatically placing them in a different campaign with higher tROAS and lower max CPC bids.

This is especially critical for PMax, which happily spends on products you wish it wouldn’t.

Excluding Bad Display Placements

Display inventory is unpredictable, and if you’ve ever taken a serious look at your placements report, you already know how messy it can get.

Click fraud, lead fraud, and brand safety violations are, unfortunately, daily realities in the Display ecosystem.

This is exactly where scripts earn their keep. Instead of leaving you to manually sift through questionable placements, a script can automatically detect low-quality inventory and remove it from your campaigns. It can identify and exclude MFA sites, pages associated with CSAM or malware risks, and the endless parade of children’s apps that chew through budget without producing meaningful leads. By continuously filtering out these problem areas, scripts can reduce Display waste anywhere from 20% to 60%, depending on your country and account setup.

Your brand will thank you.

3. Prevent Costly Mistakes Before They Burn Money

Scripts excel at catching issues early – before your budgets vanish or Smart Bidding crashes.

Broken Link Checker

A broken URL instantly tanks performance, and this is exactly where a link-checker script proves invaluable.

Instead of relying on manual checks, the script automatically crawls all your final URLs, scanning them for issues such as 404 errors, unexpected redirects, or pages that load so slowly they might as well be broken. When it detects a problem, it alerts you immediately, long before wasted spend or frustrated users pile up.

You avoid burning budget and annoying potential customers.

Out-Of-Stock Ad Pausing

Buying clicks to products that aren’t available is classic ecommerce pain.

Yes, a well-managed Shopping feed usually prevents this, but for standard Search ads, you’re on your own unless you automate the checks.

This is where scripts step in. They continuously monitor your product pages to detect when items go out of stock, when certain variants become unavailable, or when products are fully discontinued. Once a problem is spotted, the script automatically pauses the affected ads and then resumes them the moment stock returns, protecting both your budget and user experience.

Conversion Tracking Monitor

When conversion tracking breaks, everything breaks – and this is especially true for Google’s Smart Bidding, which becomes completely misaligned the moment your tracking data goes off.

A monitoring script can catch these issues early by watching for sudden drops in conversions, or unexpected spikes caused by duplicates. The script detects missing enhanced conversions, offline conversions that stop importing, or irregularities in how your tags are firing. It flags these problems the moment they appear, so you can intervene before Smart Bidding optimizes itself into chaos.

Trust me: When conversion tracking breaks, you want to be the first to know.

Some Personal Real-Life Examples

If the examples above haven’t convinced you yet, let me share some personal examples of how scripts saved my neck.

Account Down Alerts (The Friday 4:55 PM Nightmare Scenario)

Every PPC manager has lived this.

A real account alert in one of my clients’ accounts: “Your ads have stopped running – You reached your monthly account spend limit. To get your ads running again, increase your ad spend.”

This message arrived late on a Friday. No one was looking at the account at that time. Google didn’t send out an email.

If it weren’t for my script, we wouldn’t have noticed the issue until Monday, and the client would lose out on the weekend revenue.

Scripts can also act as “real-time account-down watchdogs” by alerting you when your ads suddenly stop serving, when billing fails, and payments can’t be processed, or when monthly or campaign-level spend caps are unexpectedly hit. They also catch situations where Google’s suspension policies kick in or when campaigns shut off without warning for any number of reasons. Instead of discovering these issues hours (or days!) later, scripts make sure you know the moment something breaks.

Here’s the thing: Google’s notifications aren’t always timely. Script alerts are.

Change History Monitoring (Protecting Your Account From Humans)

Some of the most dangerous changes made inside a Google Ads account come from people who shouldn’t have access, from automated third-party tools, or simply from changes that happen unnoticed over a weekend by some auto-applied suggestion.

A real-life example illustrates this perfectly: One of my clients installed a third-party tracking tool on a Saturday, and the tool quietly modified the account’s tracking templates. Those seemingly small edits broke conversion tracking entirely. If it had gone unnoticed, OCI would have been misaligned and Smart Bidding would’ve optimized against faulty conversion data, performance would certainly go down the drain. This is exactly the kind of situation scripts help prevent.

My Change History alert script flagged the edit instantly and luckily warned us before real damage was done.

Monitoring changes in your account is not paranoia. This is survival.

No Excuse Not To Use Scripts

There is literally no downside to using scripts, and they’re completely free to run. Scripts are safe because Google’s built-in Preview mode lets you test everything before making actual changes. They’re also incredibly easy to use since most scripts require nothing more than a simple copy-paste to get started. And if you want to customize them, they’re flexible as well; you can modify or extend almost any script with the help of AI in just a few seconds.

Between Google’s documentation, open‑source script libraries, LLMs, and other tools, creating or customizing scripts has never been easier.

Final Takeaway: Scripts Are Now Essential PPC Infrastructure

Running Google Ads without scripts is like flying a plane with half your instruments turned off. Sure, you might land safely – but why take that chance?

If you care about PPC performance, reliability, or sanity, Google Ads scripts aren’t optional. They’re your watchdog, your analyst, your QA system, and your 24/7 protection against angry clients/bosses.

Stop wasting budget. Stop working harder than you need to. Start scripting.

More Resources:


Featured Image: Accogliente Design/Shutterstock

Update or delete? Cleaning up old content on your site

Sometimes, content on your website becomes irrelevant or outdated and you need to decide whether to update it or delete it. It can be tricky to decide what needs to be done, but don’t let this hold you back. Regularly updating outdated content should be a key part of your content maintenance activities. Let’s help you make that decision and discuss when you should update existing content or remove it altogether.

Update old content that is still valid

On our blog, we have an article on meta descriptions that needs regular updating to keep it relevant. We just have to ensure it stays up to date with all the changes Google makes to the way it handles meta descriptions. Our post helps people write meta descriptions, even though the advice changes over time. Although the article itself might be what we call cornerstone content, its content must be updated to keep up with the latest standards, constantly.

You can also create new, valuable content by updating old posts and making them current again: old wine in new bottles, as the saying goes. You can, for example, merge multiple old blog posts about the same subject into one new post or simply replace older parts of your post with updated content.

A good rule of thumb is to check the amount of traffic you’re getting on a page or post. Are you considering removing a page or unsure about what to do with an outdated one? If that page is still attracting a lot of traffic, it would be a shame to delete it. It would be better to update it to make sure it’s accurate and reflects the latest developments in that field. If the page is not getting a lot of traffic, but the topic is important to you(r company), that can also be a good reason to reevaluate the page and update its content.

Read more: How to update your content in 10 steps (and make it better) »

Delete irrelevant posts or pages

It’s likely that you have old posts or pages on your site that you no longer need. Think along the lines of a blog post about a product you stopped selling a while ago and have no intention of ever selling again. Or an announcement of an event that took place a long time ago. You may also have old pages with little or no content, known as thin content pages. This outdated content no longer adds value, now or in the foreseeable future. In that case, you need to either make it clear that this content is no longer relevant or assign the URL a new purpose.

When we talk about deleting old content, I don’t mean simply pressing “delete” and forgetting about it. If you do that, the content may still appear in Google search results for weeks after deletion. The URL might actually have some link value as well, which would be a shame to waste. So, what should you do? Here are two options:

“301 Redirect” the old post to a related one

When a URL still holds value because, say, you have a number of quality links pointing to that page, you want to leverage that value by redirecting the URL to a related one. With a 301 redirect, you’ll inform search engines and visitors that a better or newer version of this content can be found elsewhere on your site. The 301 redirect automatically sends people and Google to this page.

Say you have an old post on a specific product. You need to delete it, so the logical next step would be to redirect that post to a newer post about this product. If you don’t have that post, choose a post about the closest product possible. One that can still help out the user in a way that the old product would. Redirecting to a relevant category might be an option in some edge cases, but this should not be standard practice. Furthermore, redirecting to the homepage should be avoided — this is an SEO anti-pattern.

There are a few ways to create a 301 redirect in WordPress, but using the redirect manager in Yoast SEO Premium makes it incredibly easy.

Tell search engines the content is intentionally gone

If there isn’t a relevant page on your site to redirect to, it’s wise to tell Google to forget about your old post entirely by serving a “410 Deleted” status. This status code will tell Google and visitors that the content didn’t just disappear; you’ve deleted it with a reason.

When Google can’t find a post, the server typically returns a “404 Not Found” status to the search engine’s bot. You’ll also find a 404 crawl error in your Google Search Console for that page. Eventually, Google will work it out, and the URL will gradually vanish from the search result pages. But this takes time.

The 410 is more powerful in the sense that it informs Google that the page is permanently deleted and will never be available again. You deleted it on purpose. Google will act on that faster than with a 404. Read up about the server status codes if this is all gibberish to you.

Keep reading: How to properly delete a page from your site »

Do you have old content to deal with?

Cleaning up old content should be part of your content maintenance routine. If you don’t review your old posts regularly, you’re bound to encounter issues sooner or later. You might show incorrect information to visitors or hurt your own rankings by having too many pages about the same topic, increasing the chances of keyword cannibalization. So prune your content regularly and decide what to do: update, merge or delete.

Clean up orphaned content with Yoast SEO Premium

A great place to start is with your orphaned content, which is content that has zero internal links to it. You might be surprised, but most of us have orphaned content on our website. Which is a shame, because both your audience and Google won’t be able to find this content. Meaning that you might be missing out on a great place in the search results and lots of traffic.

To help you clean up your old content, we’ve created an SEO workout that identifies those pages and guides you through four simple steps to fix them. These steps enable you to determine whether you want to update or delete a page. And when you do decide to update it, it also suggests pages or posts from which you can link to this updated content.

The first step in the orphaned content workout in Yoast SEO Premium

You will need Yoast SEO Premium to use this workout. You might also want to try our other internal linking SEO workout to help you rank higher with your best content, also available in the Premium plugin:

Unlock our SEO workouts with Yoast SEO Premium

Get Yoast SEO Premium and enjoy access to all our best SEO tools, training and SEO workouts!

This company is developing gene therapies for muscle growth, erectile dysfunction, and “radical longevity”

At some point next month, a handful of volunteers will be injected with two experimental gene therapies as part of an unusual clinical trial. The drugs are potential longevity therapies, says Ivan Morgunov, the CEO of Unlimited Bio, the company behind the trial. His long-term goal: to achieve radical human life extension.

The 12 to 15 volunteers—who will be covering their own travel and treatment costs—will receive a series of injections in the muscles of their arms and legs. One of the therapies is designed to increase the blood supply to those muscles. The other is designed to support muscle growth. The company hopes to see improvements in strength, endurance, and recovery. It also plans to eventually trial similar therapies in the scalp (for baldness) and penis (for erectile dysfunction).

But some experts are concerned that the trial involves giving multiple gene therapies to small numbers of healthy people. It will be impossible to draw firm conclusions from such a small study, and the trial certainly won’t reveal anything about longevity, says Holly Fernandez Lynch, a lawyer and medical ethicist at the University of Pennsylvania in Philadelphia.

Unlimited Bio’s muscle growth therapy is already accessible at clinics in Honduras and Mexico, says Morgunov—and the company is already getting some publicity. Khloe Kardashian tagged Unlimited Bio in a Facebook post about stem-cell treatments she and her sister Kim had received at the Eterna clinic in Mexico in August. And earlier this week, the biohacking influencer Dave Asprey posted an Instagram Reel of himself receiving one of the treatments in Mexico; it was shared with 1.3 million Instagram followers. In the video, Eterna’s CEO, Adeel Khan, says that the therapy can “help with vascular health systemically.” “I’m just upgrading my system for a little while to reduce my age and reduce my vascular risk,” Asprey said.

Genes for life

Gene therapies typically work by introducing new genetic code into the body’s cells. This code is then able to make proteins. Existing approved gene therapies have typically been developed for severe diseases in which the target proteins are either missing or mutated.

But several groups are exploring gene therapies for healthy people. One of these companies is Minicircle, which developed a gene therapy to increase production of follistatin, a protein found throughout the body that has many roles and is involved in muscle growth. The company says this treatment will increase muscle mass—and help people live longer. Minicircle is based in Próspera, a special economic zone in Honduras with its own bespoke regulatory system. Anyone can visit the local clinic and receive that therapy, for a reported price of $25,000. And many have, including the wealthy longevity influencer Bryan Johnson, who promoted the therapy in a Netflix documentary.

Unlimited Bio’s Morgunov, a Russian-Israeli computer scientist, was inspired by Minicircle’s story. He is also interested in longevity. Specifically, he’s committed to radical life extension and has said that he could be part of “the last generation throughout human history to die from old age.” He believes the biggest “bottleneck” slowing progress toward anti-aging or lifespan-extending therapies is drug regulation. So he, too, incorporated his own biotech company in Próspera.

“A company like ours couldn’t exist outside of Próspera,” says Unlimited Bio’s chief operating officer, Vladimir Leshko.

There, Morgunov and his colleagues are exploring two gene therapies. One of these is another follistatin therapy, which the team hopes will increase muscle mass. The other codes for a protein called vascular endothelial growth factor, or VEGF. This compound is known to encourage the growth of blood vessels. Morgunov and his colleagues hope the result will be increased muscle growth, enhanced muscle repair, and longer life. Neither treatment is designed to alter a recipient’s DNA, and therefore it won’t be inherited by future generations.

The combination of the two therapies could benefit healthy people and potentially help them live longer, says Leshko, a former electrical engineer and professional poker player who retrained in biomedical engineering. “We would say that it’s a preventive-slash-enhancing indication,” he says. “Potentially participants can experience faster recovery from exercise, more strength, and more endurance.”

Of the 12 to 15 volunteers who participate in the trial, half will receive only the VEGF therapy. The other half will receive both the VEGF and the follistatin therapies. The treatments will involve a series of injections throughout large muscles in the arms and legs, says Morgunov.

He is confident that the VEGF therapy is safe. It was approved in Russia over a decade ago to treat lower-limb ischemia—a condition that can cause pain, numbness, and painful ulcers in the legs and feet. Morgunov reckons that around 10,000 people in Russia have already had the drug, although he says he hasn’t “done deep fact-checking on that.”

Other researchers aren’t convinced.

Limited bio

VEGF is a powerful compound, says Seppo Ylä-Herttuala, a professor of molecular medicine at the University of Eastern Finland who has been studying VEGF and potential VEGF therapies for decades. He doesn’t know how many people have had VEGF gene therapy in Russia. But he does know that the safety of the therapy will depend on how much is administered and where. Previous attempts to inject the therapy into the heart, for example, have resulted in edema, a sometimes fatal buildup of fluid. Even if the therapy is injected elsewhere, VEGF can travel around the body, he says. If it gets to the eye, for example, it could cause blindness. Leshko counters that the VEGF should remain where it is injected, and any other circulation in the body, if it occurs, should be short-lived. 

And while the therapy has been approved in Russia, there’s a reason it hasn’t been approved elsewhere, says Ylä-Herttuala: The clinical trials were not as rigorous as they could have been. While “it probably works in some patients,” he says, the evidence to support the use of this therapy is weak. At any rate, he adds, VEGF will only support the growth of blood vessels—it won’t tackle aging.  “VEGF is not a longevity drug,” he says.

Leshko points to a 2021 study in mice, which suggested that a lack of VEGF activity might drive aging in the rodents. “We’re convinced it qualifies as a potential longevity drug,” he says.

There is even less data about follistatin. Minicircle, the company selling another follistatin gene therapy, has not published any rigorous clinical trial data. So far, much of the evidence for follistatin’s effects comes from research in rodents, says Ylä-Herttuala.

Clinical trials like this one should gather more information, both about the therapies and about the methods used to get those therapies into the body. Unlimited Bio’s VEGF therapy will be delivered via a circular piece of genetic code called a plasmid. Its follistatin therapy, on the other hand, will be delivered via an adeno-associated virus (AAV). Plasmid therapies are easier to make, and they have a shorter lifespan in the body—only a matter of days. They are generally considered to be safer than AAV therapies. AAV therapies, on the other hand, tend to stick around for months, says Ylä-Herttuala. And they can trigger potentially dangerous immune reactions.

It’s debatable whether healthy people should be exposed to these risks, says Fernandez Lynch. The technology “still has serious questions about its safety and effectiveness,” even for people with life-threatening diseases, she says. “If you are a healthy person, the risk of harm is more substantial because it’ll be more impactful on your life.”

But Leshko is adamant. “Over 120,000 humans die DAILY from age-related causes,” he wrote in an email. “Building ‘ethical’ barriers around ‘healthy’ human (in fact, aging human) trials is unethical.” Morgunov did not respond to a request for comment.

Some people want to take those risks anyway. In his video, the biohacker influencer Asprey—who has publicly stated that he’s “going to live to 180”—described VEGF as a “longevity compound,” and Eterna’s CEO Khan, who delivered the treatment, described it as “the ultimate upgrade.” Neither Asprey nor Khan clinic responded to requests for comment. 

Michael Gusmano, a professor of health policy at Lehigh University in Bethlehem, Pennsylvania, worries that this messaging might give trial participants unrealistic expectations about how they might benefit. There is “huge potential for therapeutic misconception when you have some kind of celebrity online influencer touting something about which there is relatively sparse scientific evidence,” he says. In reality, he adds, “the only thing you can guarantee is that [the volunteers] will be contributing to our knowledge of how this intervention works.”

“I would certainly not recommend that anyone I know enter into such a trial,” says Gusmano.

A penis project

The muscle study is only the first step. The Unlimited Bio team hopes to trial the VEGF therapy for baldness and erectile dysfunction, too. Leshko points to research in mice that links high VEGF levels to larger, denser hair follicles. He hopes to test a series of VEGF therapy injections into the scalps of volunteers. Morgunov, who is largely bald, has already started to self-experiment with the approach.

An erectile dysfunction trial may follow. “That one we think has great potential because injecting gene therapy into the penis sounds exciting,” says Leshko. A protocol for that trial has not yet been finalized, but he imagines it would involve “five to 10” injections.

Ylä-Herttuala isn’t optimistic about either approach. Hair growth is largely hormonal, he says. And injecting anything into a penis risks damaging it (although Leshko points out that a similar approach was taken by another company almost 20 years ago). Injecting a VEGF gene therapy into the penis would also risk edema there, Ylä-Herttuala adds.

And he points out that we already have some treatments for hair loss and erectile dysfunction. While they aren’t perfect, their existence does raise the bar for any potential future therapies—not only do they have to be safe and effective, but they must be safer or more effective than existing ones.

That doesn’t mean the trials will flop. No small trial can be definitive, but it could still provide some insight into how these drugs are working. It is possible that the therapies will increase muscle mass, at least, and that this could be beneficial to the healthy recipients, says Ylä-Herttuala. 

Before our call, he had taken a look at Unlimited Bio’s website, which carries the tagline “The Most Advanced Rejuvenation Solution.” “They promise a lot,” he said. “I hope it’s true.”

Welcome to Kenya’s Great Carbon Valley: a bold new gamble to fight climate change

The earth around Lake Naivasha, a shallow freshwater basin in south-central Kenya, does not seem to want to lie still. 

Ash from nearby Mount Longonot, which erupted as recently as the 1860s, remains in the ground. Obsidian caves and jagged stone towers preside over the steam that spurts out of fissures in the soil and wafts from pools of boiling-hot water—produced by magma that, in some areas, sits just a few miles below the surface. 

It’s a landscape born from violent geologic processes some 25 million years ago, when the Nubian and Somalian tectonic plates pulled apart. That rupture cut a depression in the earth some 4,000 miles long—from East Africa up through the Middle East—to create what’s now called the Great Rift Valley. 

This volatility imbues the land with vast potential, much of it untapped. The area, no more than a few hours’ drive from Nairobi, is home to five geothermal power stations, which harness the clouds of steam to generate about a quarter of Kenya’s electricity. But some energy from this process escapes into the atmosphere, while even more remains underground for lack of demand. 

That’s what brought Octavia Carbon here. 

In June, just north of the lake in the small but strategically located town of Gilgil, the startup began running a high-stakes test. It’s harnessing some of that excess energy to power four prototypes of a machine that promises to remove carbon dioxide from the air in a manner that the company says is efficient, affordable, and—crucially—scalable.

In the short term, the impact will be small—each device’s initial capacity is just 60 tons per year of CO2—but the immediate goal is simply to demonstrate that carbon removal here is possible. The longer-term vision is far more ambitious: to prove that direct air capture (DAC), as the process is known, can be a powerful tool to help the world keep temperatures from rising to ever more dangerous levels. 

“We believe we are doing what we can here in Kenya to address climate change and lead the charge for positioning Kenya as a climate vanguard,” Specioser Mutheu, Octavia’s communications lead, told me when I visited the country last year. 

The United Nations’ Intergovernmental Panel on Climate Change has stated that in order to keep the world from warming more than 1.5 °C over preindustrial levels (the threshold set out in the Paris Agreement), or even the more realistic but still difficult 2 °C, it will need to significantly reduce future fossil-fuel emissions—and also pull from the atmosphere billions of tons of carbon that have already been released. 

Some argue that DAC, which uses mechanical and chemical processes to suck carbon dioxide from the air and store it in a stable form (usually underground), is the best way to do that. It’s a technology with immense promise, offering the possibility that human ingenuity and innovation can get us out of the same mess that development caused in the first place. 

Last year, the world’s largest DAC plant, Mammoth, came online in Iceland, offering the eventual capacity to remove up to 36,000 tons of CO₂ per year—roughly equal to the emissions of 7,600 gas-powered cars. The idea is that DAC plants like this one will remove and permanently store carbon and create carbon credits that can be purchased by corporations, governments, and local industrial producers, which will collectively help keep the world from experiencing the most dangerous effects of climate change. 

large pipes run along the ground with the buildings of the Climeworks' Mammoth plant in the distance
Climeworks’ Mammoth carbon removal plant near Reykjavik, Iceland.
JOHN MOORE/GETTY IMAGES

Now, Octavia and a growing number of other companies, politicians, and investors from Africa, the US, and Europe are betting that Kenya’s unique environment holds the keys to reaching this lofty goal—which is why they’re pushing a sweeping vision to remake the Great Rift Valley into the “Great Carbon Valley.” And they hope to do so in a way that provides a genuine economic boost for Kenya, while respecting the rights of the Indigenous people who live on this land. If they can do so, the project could not just give a needed jolt to the DAC industry—it could also provide proof of concept for DAC across the Global South, which is particularly vulnerable to the ravages of climate change despite bearing very little responsibility for it. 

But DAC is also a controversial technology, unproven at scale and wildly expensive to operate. In May, an Icelandic news outlet published an investigation into Climeworks, which runs the Mammoth plant, finding that it didn’t even pull in enough carbon dioxide to offset its own emissions, let alone the emissions of other companies. 

Critics also argue that the electricity DAC requires can be put to better use cleaning up our transportation systems, heating our homes, and powering other industries that still rely largely on fossil fuels. What’s more, they say that relying on DAC can give polluters an excuse to delay the transition to renewables indefinitely. And further complicating this picture is shrinking demand from governments and corporations that would be DAC’s main buyers, which has left some experts questioning whether the industry will even survive. 

Carbon removal is a technology that seems always on the verge of kicking in but never does, says Fadhel Kaboub, a Tunisian economist and advocate for an equitable green transition. “You need billions of dollars of investment in it, and it’s not delivering, and it’s not going to deliver anytime soon. So why do we put the entire future of the planet in the hands of a few people and a technology that doesn’t deliver?” 

Layered on top of concerns about the viability and wisdom of DAC is a long history of distrust from the Maasai people who have called the Great Rift Valley home for generations but have been displaced in waves by energy companies coming in to tap the land’s geothermal reserves. And many of those remaining don’t even have access to the electricity generated by these plants. 

Maasai men walk along the road beside the Olkaria geothermal plant.
REDUX PICTURES

It’s an immensely complicated landscape to navigate. But if the project can indeed make it through, Benjamin Sovacool, an energy policy researcher and director of the Boston University Institute for Global Sustainability, sees immense potential for countries that have been historically marginalized from climate policy and green energy investment. Though he’s skeptical about DAC as a near-term climate solution, he says these nations could still see big benefits from what could be a multitrillion-dollar industry

“[Of] all the technologies we have available to fight climate change, the idea of reversing it by sucking CO2 out of the air and storing it is really attractive. It’s something even an ordinary person can just get,” Sovacool says. “If we’re able to do DAC at scale, it could be the next huge energy transition.” 

But first, of course, the Great Carbon Valley has to actually deliver.

Challenging the power dynamic

The “Great Carbon Valley” is both a broad vision for the region and a company founded to shepherd that vision into reality. 

Bilha Ndirangu, a 42-year-old MIT electrical engineering graduate who grew up in Nairobi, has long worried about the impacts of climate change on Kenya. But she doesn’t want the country to be a mere victim of rising temperatures, she tells me; she hopes to see it become a source of climate solutions. So in 2021, Ndirangu cofounded Jacob’s Ladder Africa, a nonprofit with the goal of preparing African workers for green industries. 

COURTESY OF BILHA NDIRANGU

She also began collaborating with the Kenyan entrepreneur James Irungu Mwangi, the CEO of Africa Climate Ventures, an investment firm focused on building and accelerating climate-smart businesses. He’d been working on an idea that spoke to their shared belief in the potential for the country’s vast geothermal capacity; the plan was to find buyers for Kenya’s extra geothermal energy in order to kick-start the development of even more renewable power. One energy-hungry, climate-positive industry stood out: direct air capture of carbon dioxide. 

The Great Rift Valley was the key to this vision. The thinking was that it could provide the cheap energy needed to power affordable DAC at scale while offering an ideal geology to effectively store carbon deep underground after it was extracted from the air. And with nearly 90% of the country’s grid already powered by renewable energy, DAC wouldn’t be siphoning power away from other industries that need it. Instead, attracting DAC to Kenya could provide the boost needed for energy providers to build out their infrastructure and expand the grid—ideally connecting the roughly 25% of people in the country who lack electricity and reducing scenarios in which power has to be rationed

“This push for renewable energy and the decarbonization of industries is providing us with a once-in-a-lifetime sort of opportunity,” Ndirangu tells me. 

So in 2023, the pair founded Great Carbon Valley, a project development company whose mission is attracting DAC companies to the area, along with other energy-intensive industries looking for renewable power. 

It has already brought on high-profile companies like the Belgian DAC startup Sirona Technologies, the French DAC company Yama, and Climeworks, the Swiss company that operates Mammoth and another DAC plant in Iceland (and was on MIT Technology Review’s 10 Breakthrough Technologies list in 2022, and the list of Climate Tech Companies to Watch in 2023). All are planning on launching pilot projects in Kenya in the coming years, with Climeworks announcing plans to complete its Kenyan DAC plant by 2028. GCV has also partnered with Cella, an American carbon-storage company that works with Octavia, and is facilitating permits for the Icelandic company Carbfix, which injects the carbon from Climeworks’ DAC facilities.

drone view of shipping container buildings next to a solar array
Cella and Sirona Technologies have a pilot program in the Great Rift Valley called Project Jacaranda.
SIRONA TECHNOLOGIES

“Climate change is disproportionately impacting this part of the world, but it’s also changing the rules of the game all over the world,” Cella CEO and cofounder Corey Pattison tells me, explaining the draw of Mwangi and Ndirangu’s concept. “This is also an opportunity to be entrepreneurial and creative in our thinking, because there are all of these assets that places like Kenya have.”

Not only can the country offer cheap and abundant renewable energy, but supporters of Kenyan DAC hope that the young and educated local workforce can supply the engineers and scientists needed to build out this infrastructure. In turn, the business could open opportunities to the country’s roughly 6 million un- or under-employed youths. 

“It’s not a one-off industry,” Ndirangu says, highlighting her faith in the idea that jobs will flow from green industrialization. Engineers will be needed to monitor the DAC facilities, and the additional demand for renewable power will create jobs in the energy sector, along with related services like water and hospitality. 

“You’re developing a whole range of infrastructure to make this industry possible,” she adds. “That infrastructure is not just good for the industry—it’s also just good for the country.”

The chance to solve a “real-world issue”

In June of last year, I walked up a dirt path to the HQ of Octavia Carbon, just off Nairobi’s Eastern Bypass Road, on the far outskirts of the city. 

The staffers I met on my tour exuded the kind of boundless optimism that’s common in early-stage startups. “People used to write academic articles about the fact that no human will ever be able to run a marathon in less than two hours,” Octavia CEO Martin Freimüller told me that day. The Kenyan marathon runner Eliud Kipchoge broke that barrier in a race in 2019. A mural of him features prominently on the wall, along with the athlete’s slogan, “No human is limited.” 

“It’s impossible, until Kenya does it,” Freimüller added. 

In June, Octavia started testing its technology in the field in a pilot project in Gilgil.
OCTAVIA CARBON

Although not an official partner of Ndirangu’s Great Carbon Valley venture, Octavia aligns with the larger vision, he told me. The company got its start in 2022, when Freimüller, an Austrian development consultant, met Duncan Kariuki, an engineering graduate from the University of Nairobi, in the OpenAir Collective, an online forum devoted to carbon removal. Kariuki introduced Freimüller to his classmates Fiona Mugambi and Mike Bwondera, and the four began working on a DAC prototype, first in lab space borrowed from the university and later in an apartment. It didn’t take long for neighbors to complain about the noise, and within six months, the operation had moved to its current warehouse. 

That same year, they announced their first prototype, affectionately called Thursday after the day it was unveiled at a Nairobi Climate Network event. Soon, Octavia was showing off its tech to high-profile visitors including King Charles III and President Joe Biden’s ambassador to Kenya, Meg Whitman. 

Three years later, the team has more than 40 engineers and has built its 12th DAC unit: a metal cylinder about the size of a large washing machine, containing a chemical filter using an amine, an organic compound derived from ammonia. (Octavia declined to provide further details about the arrangement of the filter inside the machine because the company is awaiting approval of a patent for the design.)

Octavia relies on an amine absorption method similar to the one used by other DAC plants around the world, but its project stands apart—having been tailored to suit the local climate and run on more than 80% thermal energy.
OCTAVIA CARBON

Hannah Wanjau, an engineer at the company, explained how it works: Fans draw air from the outside across the filter, causing carbon dioxide (which is acidic) to react with the basic amine and form a carbonate salt. When that mixture is heated inside a vacuum to 80 to 100 °C, the CO2 is released, now as a gas, and collected in a special chamber, while the amine can be reused for the next round of carbon capture. 

The amine absorption method has been used in other DAC plants around the world, including those operated by Climeworks, but Octavia’s project stands apart on several key fronts. Wanjau explained that its technology is tailored to suit the local climate; the company has adjusted the length of time for absorption and the temperature for CO2 release, making it a potential model for other countries in the tropics. 

And then there’s its energy source: The device operates on more than 80% thermal energy, which in the field will consist of the extra geothermal energy that the power plants don’t convert into electricity. This energy is typically released into the atmosphere, but it will be channeled instead to Octavia’s machines. What’s more, the device’s modular design can fit inside a shipping container, allowing the company to easily deploy dozens of these units once the demand is there, Mutheu told me. 

This technology is being tested in the field in Gilgil, where Mutheu told me the company is “continuing to capture and condition CO₂ as part of our ongoing operations and testing cycles.” (She declined to provide specific data or results at this stage.)

Once the CO2 is captured, it will be heated and pressurized. Then it will be pumped to a nearby storage facility operated by Cella, where the company will inject the gas into fissures underground. The region’s special geology again offers an advantage: Much of the rock found underground here is basalt, a volcanic mineral that contains high concentrations of calcium and magnesium ions. They react with carbon dioxide to form substances like calcite, dolomite, and magnesite, locking the carbon atoms away in the form of solid minerals. 

This process is more durable than other forms of carbon storage, making it potentially more attractive to buyers of carbon credits, says Pattison, the Cella CEO. Non-geologic carbon mitigation methods, such as cookstove replacement programs or nature-based solutions like tree planting, have recently been rocked by revelations of fraud or exaggeration. The money for Cella’s pilot, which will see the injection of 200 tons of CO2 this year, has come mainly from the Frontier advance market commitment, under which a group of companies including Stripe, Google, Shopify, Meta, and others has collectively pledged to spend $1 billion on carbon removal by 2030. 

The modular design of Octavia’s device can fit inside a shipping container, allowing the company to easily deploy dozens of these units once demand is there. 
OCTAVIA CARBON

These projects have already opened up possibilities for young Kenyans like Wanjau. She told me there were not a lot of opportunities for aspiring mechanical engineers like her to design and test their own devices; many of her classmates were working for construction or oil companies, or were unemployed. But almost immediately after graduation, Wanjau began working for Octavia. 

“I’m happy that I’m trying to solve a problem that’s a real-world issue,” she told me. “Not many people in Africa get a chance to do that.” 

An uphill climb

Despite the vast enthusiasm from partners and investors, the Great Carbon Valley faces multiple challenges before Ndirangu and Mwangi’s vision can be fully realized. 

Since its start, the venture has had to contend with “this perception that doing projects in Africa is risky,” says Ndirangu. Of the dozens of DAC facilities planned or in existence today, only a handful are in the Global South. Indeed, Octavia has described itself as the first DAC plant to be located there. “Even just selling Kenya as a destination for DAC was quite a challenge,” she says.

So Ndirangu played up Kenya’s experience developing geothermal resources, as well as local engineering talent and a lower cost of labor. GCV has also offered to work with the Kenyan government to help companies secure the proper permits to break ground as soon as possible. 

In pitching the Great Carbon Valley, Ndirangu has played up Kenya’s experience developing geothermal resources, as well as local engineering talent and a lower cost of labor.
ALAMY

Ndirangu says that she’s already seen “a real appetite” from power producers who want to build out more renewable-energy infrastructure, but at the same time they’re waiting for proof of demand. She envisions that once that power is in place, lots of other industries—from data centers to producers of green steel, green ammonia, and sustainable aviation fuels—will consider basing themselves in Kenya, attracting more than a dozen projects to the valley in the next few years.  

But recent events could dampen demand (which some experts already worried was insufficient). Global governments are retreating from climate action, particularly in the US. The Trump administration has dramatically slashed funding for development related to climate change and renewable energy. The Department of Energy appears poised to terminate a $50 million grant to a proposed Louisiana DAC plant that would have been partially operated by Climeworks, and in May, not long after that announcement, the company said it was cutting 22% of its staff

At the same time, many companies that would have likely been purchasers of carbon credits—and that a few years ago had voluntarily pledged to reduce or eliminate their carbon emissions—are quietly walking back their commitments. Over the long term, experts warn, there are limits to the amount of carbon removal that companies will ever voluntarily buy. They argue that governments will ultimately have to pay for it—or require polluters to do so. 

Further compounding all these challenges are costs. Critics say DAC investments are a waste of time and money compared with other forms of carbon drawdown. As of mid-December, carbon removal credits in the European Union’s Emissions Trading System, one of the world’s largest carbon markets, were priced at around $84 per ton. The average price per DAC credit, for comparison, is nearly $450. Natural processes like reforestation absorb millions of tons of carbon annually and are far cheaper (though programs to harness them for carbon credits are beset with their own controversies). Ultimately, DAC continues to operate on a small scale, removing only about 10,000 metric tons of CO2 each year.

Even if DAC suppliers do manage to push past these obstacles, there are still thorny questions coming from inside Kenya. Groups like Power Shift Africa, a Nairobi-based think tank that advocates for climate action on the continent, have derided carbon credits as “pollution permits” and blamed them for delaying the move toward electrification. 

“The ultimate goal of [carbon removal] is that you can say at the end, well, we can actually continue our emissions and just recapture them with this technology,” says Kaboub, the Tunisian economist, who has worked with Power Shift Africa. “So there’s no need to end fossil fuels, which is why you get a lot of support from oil countries and companies.”

Another problem he sees is not limited to DAC but extends to the way that Kenya and other African nations are pursuing their goal of green industrialization. While Kenyan President William Ruto has courted international financial investment to turn Kenya into a green energy hub, his administration’s policies have deepened the country’s external debt, which in 2024 was equal to around 30% of its GDP. Geothermal energy development in Kenya has often been financed by loans from international institutions or other governments. As its debt has risen, the country has enacted national austerity measures that have sparked deadly protests.

Kenya may indeed have advantages over other countries, and DAC costs will most likely go down eventually. But some experts, such as Boston University’s Sovacool, aren’t quite sold on the idea that the Great Carbon Valley—or any DAC venture—can significantly mitigate climate change. Sovacool’s research has found that at best, DAC will be ready to deploy on the necessary scale by midcentury, much too late to make it a viable climate solution. And that’s if it can overcome additional costs—such as the losses associated with corruption in the energy sector, which Sovacool and others have found is a widespread problem in Kenya. 

MIRIAM MARTINCIC

Nevertheless, others within the carbon removal industry remain more optimistic about DAC’s overall prospects and are particularly hopeful that Kenya can address some of the challenges the technology has encountered elsewhere. Cost is “not the most important thing,” says Erin Burns, executive director of Carbon180, a nonprofit that advocates for the removal and reuse of carbon dioxide. “There’s lots of things we pay for.” She notes that governments in Japan, Singapore, Canada, Australia, the European Union, and elsewhere are all looking at developing compliance markets for carbon, even though the US is stagnating on this front. 

The Great Carbon Valley, she believes, stands poised to benefit from these developments. “It’s big. It’s visionary,” Burns says. “You’ve got to have some ambition here. This isn’t something that is like deploying a technology that’s widely deployed already. And that comes with an enormous potential for huge opportunity, huge gains.”

Back to the land 

More than any external factor, the Great Carbon Valley’s future is perhaps most intimately intertwined with the restless earth on which it’s being built, and the community that has lived here for centuries. 

To the Maasai people, nomadic pastoralists who inhabit swathes of Eastern Africa, including Kenya, this land around Lake Naivasha is “ol-karia,” meaning “ochre,” after the bright red clay found in abundance.

South of the lake is Hell’s Gate National Park, a 26-square-mile nature reserve where the region’s five geothermal power complexes—with a sixth under construction—churn on top of the numerous steam vents. The first geothermal power plant here was brought into service in 1981 by KenGen, a majority-state-owned electricity company; it was named Olkaria. 

But for decades most of the Maasai haven’t had access to that electricity. And many of them have been forced off the land in a wave of evictions. In 2014, construction on a KenGen geothermal complex expelled more than 2,000 people and led to a number of legal complaints. At the same time, locals living near a different, privately owned geothermal complex 50 miles north of Naivasha have complained of noise and air pollution; in March, a Kenyan court revoked the operating license of one of the project’s three plants. 

Neither Octavia or Cella is powered by output from these two geothermal producers, but activists have warned that similar environmental and social harms could resurface if demand for new geothermal infrastructure grows in Kenya—demand that could be driven by DAC. 

Ndirangu says she believes some of the complaints about displacement are “exaggerated,” but she nonetheless acknowledges the need for stronger community engagement, as does Octavia. In the long term, Ndirangu says, she plans to provide job training to residents living near the affected areas and integrate them into the industry, although she also says those plans need to be realistic. “You don’t want to create the wrong expectation that you will hire everyone from the community,” she says.  

That’s part of the problem for Maasai activists like Agnes Koilel, a teacher living near the Olkaria geothermal field. Despite past promises of employment at the power plants, the jobs that are offered are lower-paying positions in cleaning or security. “Maasai people are not [as] employed as they think,” she says.  

The Maasai people have inhabited swathes of Eastern Africa, including Kenya, for centuries, though many still lack access to the power that’s now produced there.
ALAMY

DAC is a small industry, and it can’t do everything. But if it’s going to become as big as Ndirangu, Freimüller, and other proponents of the Great Carbon Valley hope it will be, creating jobs and driving Kenya’s green industrialization, communities like Koilel’s will be among those most directly affected—much as they are by climate change. 

When I asked Koilel what she thought about DAC development near her home, she told me she had never heard of the Great Carbon Valley idea, or of carbon removal in general. She wasn’t necessarily against geothermal power development on principle, or opposed to any of the industries that might push it to expand. She just wants to see some benefits, like a health center for her community. She wants to reverse the evictions that have pushed her neighbors off their land. And she wants electricity—the same kind that would power the fans and pumps of future DAC hubs. 

Power “is generated from these communities,” Koilel said. “But they themselves do not have that light.” 

Diana Kruzman is a freelance journalist covering environmental and human rights issues around the world. Her writing has appeared in New Lines Magazine, The Intercept, Inside Climate News, and other publications. She lives in New York City.

Shopify Integrates AI Product Discovery

Shopify’s forthcoming Agentic Storefronts will feed structured product data to generative AI platforms and enable shoppers to complete purchases in the chats.

The direct connection means that even the smallest merchants on Shopify can sell via ChatGPT, Perplexity, Microsoft Copilot, and similar AI solutions.

Introduced as part of Shopify’s Winter ’26 Edition — which included about 150 new features and concepts — Agentic Storefronts is a natural response to agent-driven commerce. It also signals that familiar shopper discovery channels such as search engines and product feeds will have AI equivalents.

Agentic Storefronts

Shopify’s Agentic Storefronts aims to be simple for merchants and scalable for AI platforms.

At a high level, the process looks like this.

  • Merchants enable Agentic Storefronts inside Shopify.
  • Shopify structures product, pricing, inventory, and brand data.
  • That data passes to partner AI platforms.
  • Shoppers discover, evaluate, and purchase products inside AI chats.
  • Order details flow back to the merchants’ Shopify backend.

Shopify describes the workflow as a “configure once, distribute everywhere” model. It’s similar to how merchants already use product feeds for search engines and marketplaces.

Agentic Commerce

Agentic commerce refers to AI-driven software agents that perform common shopping tasks on behalf of consumers.

Rather than manually searching, clicking, filtering, and comparing items, a shopper can ask, say, ChatGPT to find the best option. A virtual agent can then compare alternatives, apply preferences, recommend a product, and facilitate the transaction. Effectively, the platform becomes the ecommerce catalog and checkout.

This model is already visible in early forms. AI chats recommend products, summarize reviews, and answer follow-up questions. Some can initiate checkout flows.

Thousands of holiday shoppers have likely used generative AI to find gift ideas. Agentic commerce goes further, enabling shoppers to buy goods from the AI chat window.

AI commerce requires structured, reliable product data; no one wants hallucinated products or features. Agentic Storefronts provides that data and ensures Shopify merchants remain visible and relevant.

Discovery Shift

Agentic commerce and storefronts are leading-edge technology, yet the way merchants interact with them feels oddly familiar.

For three decades, ecommerce product discovery has involved organic search optimization, advertising, and product feeds.

With AI, discovery begins with answers, not links. Shoppers ask product questions. AI recommends. The experience is conversational, contextual, and even personal.

Depending on the context, answer engine optimization (AEO) and generative engine optimization (GEO) each aim to raise visibility in AI answers and recommendations.

Shopify’s Agentic Storefronts include tools for both. As agentic commerce becomes widespread, sellers will find that SEO skills and procedures will carry over to AEO and GEO.

Function Now AI Era Equivalent What Changes or is Added
Organic discovery SEO AEO and GEO Visibility moves from ranking pages to being included in AI-generated answers and recommendations.
User interface Search results pages AI chat Discovery starts with prompts and responses, not keyword queries and links.
Optimization Keywords, links, page structure Structured data, context, clarity, answers Machines need clean, machine-readable product and pre-formatted answers.
Paid visibility Search and social ads Ads in AI chat conversations and recommendations Sponsored placements appear inside AI responses and recommendations.
Advertising process Bid on keywords and audiences Bid on intent and conversational context Ad buying remains predictable, but surfaces change.
Product data distribution Product feeds (e.g., Google Merchant Center) Agentic Storefronts and AI commerce feeds Feeds supply AI systems instead of (as well as) search engines.
Commerce surface Websites, marketplaces, and social media Conversational AI The AI becomes the storefront, catalog, and checkout.
Merchant influence or control Platform-specific integrations Centralized with a department or dependent on internal prowess Depends on AI expertise

Advertising

Not surprisingly, advertising remains the most reliable and predictable way to generate ecommerce traffic and sales.

Most merchants can fine-tune customer acquisition costs and drive profitable sales through Google, Meta, and other advertising channels.

Even ads on marketplaces such as Amazon provide predictable revenue. Advertising is essential for most ecommerce businesses, and agentic commerce probably won’t change that.

Ads are coming to genAI platforms. Ecommerce marketers will soon buy AI chat ads in a similar manner to search ads.

Product Feeds

Finally, Shopify’s Agentic Storefronts will generate product data feeds for genAI platforms, much like feeds to Google Merchant Center, marketplaces, and other sales channels.

Don’t be surprised when more and similar AI-focused product feed tools become available. Shopify is leading the way, but it will most certainly have many excellent competitors.

Do Faces Help YouTube Thumbnails? Here’s What The Data Says via @sejournal, @MattGSouthern

A claim about YouTube thumbnails is getting attention on X: that showing your face is “probably killing your views,” and that removing yourself will make click-through rates jump.

Nate Curtiss, Head of Content at 1of10 Media, pushed back, calling that kind of advice too absolute and pointing to a dataset that suggests the answer is more situational.

The dispute matters because thumbnail advice often gets reduced to rules. YouTube’s own product signals suggest the platform is trying to reward what keeps viewers watching, not whatever earns the fastest click.

Where The “Remove Your Face” Claim Comes From

In a recent post, vidIQ suggested that unless you’re already well-known, people click for ideas rather than creators, and that removing your face from thumbnails can raise CTR.

Curtiss responded by calling the claim unsupported, and linked to highlights from a long-form report based on a sample of high-performing YouTube videos.

The debate is one side arguing faces distract from the idea, while the other argues faces can help or hurt depending on what you publish and who you publish for.

What The Data Says About Faces In Thumbnails

The report Curtiss linked to describes a dataset of more than 300,000 “viral” YouTube videos from 2025, spanning tens of thousands of channels. It defines “outlier” performance using an “Outlier Score,” calculated as a high-performing video’s views relative to the channel’s median views.

On faces specifically, the report’s top finding is that thumbnails with faces and thumbnails without faces perform similarly, even though faces appear on a large share of videos in the sample.

The differences show up when the report breaks down the data:

  • In its channel-size breakdown, it finds that adding a face only helped channels above a certain subscriber threshold, and even then the lift was modest.
  • In its niche segmentation, it finds that some categories performed better with faces while others performed worse. Finance is listed among the niches that performed better with faces, while Business is listed among the niches that performed worse.
  • It also reports that thumbnails featuring multiple faces performed best compared to single-face thumbnails.

What YouTube Says About Faces In Thumbnails

Even if a thumbnail change increases CTR, YouTube’s own tooling suggests the algorithm is optimizing for what happens after the click.

In a YouTube blog post, Creator Liaison Rene Ritchie explains that the thumbnail testing tool runs until one variant achieves a higher percentage of watch time.

He also explains why results are returned as watch time rather than separate CTR and retention metrics, describing watch time as incorporating both the click and the ability to keep viewers watching.

Ritchie writes:

“Thumbnail Test & Compare returns watch time rather than separate metrics on click-through rate (CTR) and retention (AVP), because watch time includes both! You have to click to watch and you have to retain to build up time. If you over-index on CTR, it could become click-bait, which could tank retention, and hurt performance. This way, the tool helps build good habits — thumbnails that make a promise and videos that deliver on it!”

This helps explain why CTR-based thumbnail advice can be incomplete. A thumbnail that boosts clicks but leads to shorter viewing may not win in YouTube’s testing tool.

YouTube is leaning into A/B testing as a workflow inside Studio. In a separate YouTube blog post about new Studio features, YouTube describes how you can test and compare up to three titles and thumbnails per video.

The “Who” Matters: Subscribers vs. Strangers

YouTube’s Help Center suggests thinking about audience segments, such as new, casual, and regular viewers. Then adapt your content strategy for each group rather than treat all viewers the same.

YouTube suggests thinking about who you’re trying to reach. Content aimed at subscribers can lean on familiar cues, while content aimed at casual viewers may need more universally readable actions or emotions.

That aligns with the report’s finding that faces helped larger channels more than smaller ones, which could reflect stronger audience familiarity.

What This Means

The practical takeaway is not to “put your face in every thumbnail” or “go faceless.”

The data suggests faces are common and, on average, not dramatically different from no-face thumbnails. The interesting part is the segmentation: some topics appear to benefit from faces more than others, and multiple faces may generate more interest than a single reaction shot.

YouTube’s testing design keeps pulling the conversation back to viewer outcomes. Clicks matter, but so does whether the thumbnail matches the video and earns watch time once someone lands.

YouTube’s product team describes this as “Packaging,” which is a concept that treats the title, thumbnail, and the first 30 seconds of the video as a single unit.

On mobile, where videos often auto-play, the face in the thumbnail should naturally transition into the video’s intro. If the emotional cue in the thumbnail doesn’t match the opening of the video, it can hurt early retention.

Looking Ahead

This debate keeps resurfacing because creators want simple rules, and YouTube performance rarely works that way.

The debate overlooks an important point that top creators like MrBeast emphasize. It’s more about how you show your face than whether you show it at all.

MrBeast previously mentioned that changing how he appears in thumbnails, like switching to closed-mouth expressions, increased watch time in his tests.

The 1of10 data supports the idea that faces in thumbnails aren’t a blanket rule. Results can vary by topic, format, and audience expectations.

A better way to look at it is fit. Faces can help signal trust, identity, or emotion, but they can also compete with the subject of the video depending on what you publish.

With YouTube adding more testing to Studio, you may get better results by validating thumbnail decisions against watch-time outcomes instead of relying on one-size-fits-all advice.


Featured Image: T. Schneider/Shutterstock

Ironman, Not Superman via @sejournal, @DuaneForrester

I recently became frustrated while working with Claude, and it led me to an interesting exchange with the platform, which led me to examining my own expectations, actions, and behavior…and that was eye-opening. The short version is I want to keep thinking of AI as an assistant, like a lab partner. In reality, it needs to be seen as a robot in the lab – capable of impressive things, given the right direction, but only within a solid framework. There are still so many things it’s not capable of, and we, as practitioners, sometimes forget this and make assumptions based on what we wish a platform is capable of, instead of grounding it in the reality of the limits.

And while the limits of AI today are truly impressive, they pale in comparison to what people are capable of. Do we sometimes overlook this difference and ascribe human characteristics to the AI systems? I bet we all have at one point or another. We’ve assumed accuracy and taken direction. We’ve taken for granted “this is obvious” and expected the answer to “include the obvious.” And we’re upset when it fails us.

AI sometimes feels human in how it communicates, yet it does not behave like a human in how it operates. That gap between appearance and reality is where most confusion, frustration, and misuse of large language models actually begins. Research into human computer interaction shows that people naturally anthropomorphize systems that speak, respond socially, or mirror human communication patterns.

This is not a failure of intelligence, curiosity, or intent on the part of users. It is a failure of mental models. People, including highly skilled professionals, often approach AI systems with expectations shaped by how those systems present themselves rather than how they truly work. The result is a steady stream of disappointment that gets misattributed to immature technology, weak prompts, or unreliable models.

The problem is none of those. The problem is expectation.

To understand why, we need to look at two different groups separately. Consumers on one side, and practitioners on the other. They interact with AI differently. They fail differently. But both groups are reacting to the same underlying mismatch between how AI feels and how it actually behaves.

The Consumer Side, Where Perception Dominates

Most consumers encounter AI through conversational interfaces. Chatbots, assistants, and answer engines speak in complete sentences, use polite language, acknowledge nuance, and respond with apparent empathy. This is not accidental. Natural language fluency is the core strength of modern LLMs, and it is the feature users experience first.

When something communicates the way a person does, humans naturally assign it human traits. Understanding. Intent. Memory. Judgment. This tendency is well documented in decades of research on human computer interaction and anthropomorphism. It is not a flaw. It is how people make sense of the world.

From the consumer’s perspective, this mental shortcut usually feels reasonable. They are not trying to operate a system. They are trying to get help, information, or reassurance. When the system performs well, trust increases. When it fails, the reaction is emotional. Confusion. Frustration. A sense of having been misled.

That dynamic matters, especially as AI becomes embedded in everyday products. But it is not where the most consequential failures occur.

Those show up on the practitioner side.

Defining Practitioner Behavior Clearly

A practitioner is not defined by job title or technical depth. A practitioner is defined by accountability.

If you use AI occasionally for curiosity or convenience, you are a consumer. If you use AI repeatedly as part of your job, integrate its output into workflows, and are accountable for downstream outcomes, you are a practitioner.

That includes SEO managers, marketing leaders, content strategists, analysts, product managers, and executives making decisions based on AI-assisted work. Practitioners are not experimenting. They are operationalizing.

And this is where the mental model problem becomes structural.

Practitioners generally do not treat AI like a person in an emotional sense. They do not believe it has feelings or consciousness. Instead, they treat it like a colleague in a workflow sense. Often like a capable junior colleague.

That distinction is subtle, but critical.

Practitioners tend to assume that a sufficiently advanced system will infer intent, maintain continuity, and exercise judgment unless explicitly told otherwise. This assumption is not irrational. It mirrors how human teams work. Experienced professionals regularly rely on shared context, implied priorities, and professional intuition.

But LLMs do not operate that way.

What looks like anthropomorphism in consumer behavior shows up as misplaced delegation in practitioner workflows. Responsibility quietly drifts from the human to the system, not emotionally, but operationally.

You can see this drift in very specific, repeatable patterns.

Practitioners frequently delegate tasks without fully specifying objectives, constraints, or success criteria, assuming the system will infer what matters. They behave as if the model maintains stable memory and ongoing awareness of priorities, even when they know, intellectually, that it does not. They expect the system to take initiative, flag issues, or resolve ambiguities on its own. They overweight fluency and confidence in outputs while under-weighting verification. And over time, they begin to describe outcomes as decisions the system made, rather than choices they approved.

None of this is careless. It is a natural transfer of working habits from human collaboration to system interaction.

The issue is that the system does not own judgment.

Why This Is Not A Tooling Problem

When AI underperforms in professional settings, the instinct is to blame the model, the prompts, or the maturity of the technology. That instinct is understandable, but it misses the core issue.

LLMs are behaving exactly as they were designed to behave. They generate responses based on patterns in data, within constraints, without goals, values, or intent of their own.

They do not know what matters unless you tell them. They do not decide what success looks like. They do not evaluate tradeoffs. They do not own outcomes.

When practitioners assign thinking tasks that still belong to humans, failure is not a surprise. It is inevitable.

This is where thinking of Ironman and Superman becomes useful. Not as pop culture trivia, but as a mental model correction.

Ironman, Superman, And Misplaced Autonomy

Superman operates independently. He perceives the situation, decides what matters, and acts on his own judgment. He stands beside you and saves the day.

That is how many practitioners implicitly expect LLMs to behave inside workflows.

Ironman works differently. The suit amplifies strength, speed, perception, and endurance, but it does nothing without a pilot. It executes within constraints. It surfaces options. It extends capability. It does not choose goals or values.

LLMs are Ironman suits.

They amplify whatever intent, structure, and judgment you bring to them. They do not replace the pilot.

Once you see that distinction clearly, a lot of frustration evaporates. The system stops feeling unreliable and starts behaving predictably, because expectations have shifted to match reality.

Why This Matters For SEO And Marketing Leaders

SEO and marketing leaders already operate inside complex systems. Algorithms, platforms, measurement frameworks, and constraints you do not control are part of daily work. LLMs add another layer to that stack. They do not replace it.

For SEO managers, this means AI can accelerate research, expand content, surface patterns, and assist with analysis, but it cannot decide what authority looks like, how tradeoffs should be made, or what success means for the business. Those remain human responsibilities.

For marketing executives, this means AI adoption is not primarily a tooling decision. It is a responsibility placement decision. Teams that treat LLMs as decision makers introduce risk. Teams that treat them as amplification layers scale more safely and more effectively.

The difference is not sophistication. It is ownership.

The Real Correction

Most advice about using AI focuses on better prompts. Prompting matters, but it is downstream. The real correction is reclaiming ownership of thinking.

Humans must own goals, constraints, priorities, evaluation, and judgment. Systems can handle expansion, synthesis, speed, pattern detection, and drafting.

When that boundary is clear, LLMs become remarkably effective. When it blurs, frustration follows.

The Quiet Advantage

Here is the part that rarely gets said out loud.

Practitioners who internalize this mental model consistently get better results with the same tools everyone else is using. Not because they are smarter or more technical, but because they stop asking the system to be something it is not.

They pilot the suit, and that’s their advantage.

AI is not taking control of your work. You are not being replaced. What is changing is where responsibility lives.

Treat AI like a person, and you will be disappointed. Treat it like a syste,m and you will be limited. Treat it like an Ironman suit, and YOU will be amplified.

The future does not belong to Superman. It belongs to the people who know how to fly the suit.

More Resources:


This post was originally published on Duane Forrester Decodes.


Featured Image: Corona Borealis Studio/Shutterstock

The Top 10 Digital Marketing Trends For 2026 via @sejournal, @gregjarboe

As we head into the new year, the age of experimentation is giving way to the age of execution. The past few years have been about “Can we do it?” – generative AI, the decline of cookies, retail media networks (RMNs), shoppable video, immersive experiences. Now, the question is: “Are we doing it, and doing it well?”

I’m going to walk through the top 10 digital marketing trends that I believe every forward-looking marketer must own in 2026. These aren’t just buzzwords; they reflect profound shifts in how consumers behave, how platforms operate, and how marketers must integrate strategy across data, media, and creativity.

What you’ll see: Conversational search rewriting SEO; video turning fully into commerce; privacy and data ownership as competitive advantage; retail media networks moving from niche to mainstream; creators and communities driving co-creation; AI becoming the operating system of marketing; measurement morphing as attribution crumbles; immersive gamification emerging; and above all, the human edge – the talent and culture that will decide who wins.

Let’s dive in, trend by trend.

1. Conversational Search Redefines SEO

The evolution of search is accelerating from keyword-based queries to conversational queries, away from clicks to answers inside the engine, and from “search” to “wherever people ask questions.” Platforms such as Google LLC (with AI Overviews), Bing Copilot, and other generative-search interfaces are rewriting what “visibility” means.

Search Everywhere Optimization – influence audiences in all the places they go to consume content about your topic – is no longer optional.

From the stats side: Digital marketing industry growth is forecast at a ~13.9 % CAGR over the next years.

For SEO practitioners: Shift from creating pages for keyword rankings to creating authoritative answer-centered content, structured with schema, designed for featured snippets, voice devices, and even generative AI-powered answer boxes. Also, anticipate more “zero-click” scenarios where users get answers without visiting your site.

Takeaway: Optimize for intent, structure for conversational and multimodal search, and measure outcomes beyond clicks (e.g., brand lift, FAQ visibility, conversational voice assistant triggers).

2. The Video-Commerce Boom

Short form, live video, interactive video – the convergence of video and commerce is now in full swing. Social platforms long treated video as engagement; now they’re treating it as transactional.

From recent stats: An IAB study found that 86% of advertisers are already using or plan to use generative AI for video ad production, and projected adoption suggests Gen AI-created video ads will represent ~40 % of all video ads by 2026.

In parallel, social commerce revenues continue to climb, for example, via live-shopping, shoppable posts, and in-stream checkout.

For brands: The key is to treat video not just as storytelling but as a direct path to purchase. That means interactive elements, product overlays, live shopping, shoppable end cards, integration with ecommerce platforms. And from a measurement perspective: Tie views to actions (add-to-cart, check-out) rather than just vanity metrics (views, likes).

Takeaway: Convert video from brand engagement to commerce engagement. Build video assets with embedded purchase triggers and assign them full-funnel measurement.

3. The Privacy-First Data Revolution

The demise of the third-party cookie, increased regulation, and heightened consumer sensitivity around data mean you must look inward: Your first-party data, consent-based profiling, and data architecture become your competitive center.

Recent forecasts by WPP Media suggest global digital advertising will hit north of US$1 trillion in 2025, with digital representing 73.2% of global ad revenue. And according to EMARKETER’s forecast from May 2025, “BUS advertisers are expected to allocate 66% of their digital budget to mobile in 2025.”

What this means: If you rely solely on third-party data or on open-web cookies for targeting and measurement, you’re exposed. You need to build a “data spine” – consent capture, a robust customer data platform (CDP), conversion event APIs (such as from paid platforms), identity resolution, and integrate offline + online signals.

Takeaway: Make first-party data and measurement architecture a foundational pillar of your 2026 strategy. Without it, media investment and optimization will degrade rapidly.

4. Retail Media Networks Go Mainstream

Once the playground of major ecommerce players, retail media networks (RMNs) are now becoming central to brand media planning. Because they combine rich first-party purchase or transaction data with premium placement, they offer one of the few “full-funnel” channels where exposure, consideration, and conversion can be directly tied to real SKU-level outcomes.

According to recent reporting by Business Insider, RMN ad spend is projected to reach roughly $62 billion in 2025, representing about 17.9% of all digital media spend – and the expectation is that share will exceed 20% in 2026.

What this means for marketers: You cannot treat RMNs as an afterthought or “just another display buy.” They deserve full-funnel planning, dedicated measurement (e.g., via conversion APIs and offline attribution), and coordination with your broader media mix. If you’re still viewing RMNs as tactical or experimental, then you risk lagging behind brands that build internal capabilities now.

Takeaway: Build your RMN strategy today. Integrate product data, media planning, and measurement, and align with ecommerce/pricing/product teams to maximize return on investment (ROI).

5. The Creator Economy Evolves Into Co-Creation

Influencer marketing has matured. In 2026, the shift is from paying creators to post, to co-creating with creators – product, campaign, community. Creators are becoming strategic partners, not simply reach vehicles.

Academic research confirms that influencer marketing remains important, yet the landscape is shifting toward deeper partnerships and ownership of creative strategy. Brands will increasingly structure programs where creators ideate product features, create limited-edition lines, or participate in campaign planning. The value: authenticity, niche affinity, and stronger performance than generic sponsorship.

Takeaway: Shift from “influencer as amplifier” to “creator as partner.” Embed creators in product, marketing, and measurement cycles, and treat them as co-owners of the brand experience.

6. Community + Authenticity = The New Brand Moat

In 2026, audiences don’t just want to buy; they want to belong. And they demand authenticity. That means brand engagement built on community, and authenticity built on internal voices (employees, leadership) and genuine brand purpose.

Reports highlight that consumers increasingly seek interaction, transparency, and ethics in brand communications.

From a marketing operational standpoint: Companies will invest more in owned channels (forums, apps, micro-communities), user-generated content, peer-to-peer (P2P) mechanisms, and internal advocacy (employee social, leadership content).

Takeaway: Build and nurture community; activate internal voices; make authenticity measurable (engagement, membership retention, referral), not just “brand good feeling.”

7: AI As The Strategic Operating System

We often talk about AI in creative terms – generative text, images, videos. But the true breakthrough in 2026 is AI as the operating system behind marketing: analytics, optimization, media buying, workflow automation, customer journeys.

According to Reuters, media powerhouse Meta Platforms aims to fully automate advertising with AI by end of 2026. Brands may soon supply a product image and budget and let the AI build the ad, target it, optimize it.

Gartner also emphasizes that marketing’s future is built around data prepared for automated interactions.

For SEO professionals, digital marketers, and content writers: The decision is no longer “Should we use AI?” but “How do we govern, integrate and scale AI across planning, creative, measurement and optimization?” It means human-in-the-loop becomes essential – humans set strategy, guard for bias, ensure brand safety – while AI executes at scale.

Takeaway: Treat AI as your marketing OS. Design your workflows, data architecture, and governance accordingly. Upskill teams accordingly (see Trend 10).

8. Relearning ROI Through Marketing Mix Modeling

With traditional attribution (last click, multi-touch) collapsing under the weight of privacy, walled gardens, and cross-device fragmentation, marketing mix modeling (MMM) is regaining prominence as the lens through which brands measure business impact.

According to stats on EMARKETER, “by 2026, programmatic methods will account for 90% of all digital display ad spending worldwide,” And given these volumes, brands need robust measurement frameworks that go beyond platform-provided attribution.

Open-source tools such as Meta’s Robyn, or other MMM solutions, are being deployed to link media spend to business outcomes – revenue, margin, customer lifetime value. For 2026, you should build or refine your MMM engine and ensure it integrates both online and offline, as well as walled-garden signals.

Takeaway: Invest in MMM infrastructure, align media teams with finance/analytics, and report marketing performance in business terms (incremental lift, ROI), not just vanity metrics.

9. Immersive Experiences And Gamification Redefine Engagement

The boundary between entertainment, engagement, and commerce continues to blur. Augmented reality (AR), virtual reality (VR), gamified campaigns, live-interactive formats – all move marketers beyond static ad formats into memory-creating experiences.

A 2025 Digital Media Trends survey by Deloitte Insights shows that hyperscale social-video platforms are reshaping consumption habits, decidedly moving away from passive to interactive.

For brands: It’s no longer enough to show an image of a product and hope for clicks. Successful immersive programs will incorporate tangible utility (e.g., AR try-ons, live quiz/gamified product launches, metaverse showroom visits) and strong measurement frameworks (engagement → store visits → purchases).

Takeaway: Allocate a portion of media/experience budget to immersive, interactive formats; prioritize real utility and tie back to conversion metrics, not just “wow” experiences.

10. The Human Edge: Upskilling For An AI Era

At the heart of all these shifts is your team. Technology moves fast; people and culture move slower. In 2026, the brands that win will be those who invest in training, hybrid talent, decision-making agility, and cross-disciplinary skills (data, creative, media).

A McKinsey report found that while 92% of companies plan to boost AI investments in the next three years, only 1% consider themselves fully mature, having AI deeply integrated into their operations and delivering significant business results.

So, your 2026 mandate: Build your internal marketing capability around three pillars: data literacy (understanding analytics, measurement, first-party data), AI fluency (how to use, govern, and scale AI), and cross-channel orchestration (media, product, commerce, owned-community). Without that, your strategy may be robust on paper but fragile in execution.

Takeaway: Make upskilling, talent, and culture as important as technology and media. Build a team that can move quickly, learn continuously, and collaborate across functions.

Conclusion: The Age Of Integrated Authority

What ties these trends together? Two words: integrated authority. Marketers in 2026 must move beyond channel silos (search vs. social, media vs. commerce, data vs. creative) and build integrated systems that deliver unified experiences. At the same time, they must earn authority – through first-party data, community-based trust, creator partnerships, and measurable business impact.

As you plan and execute your 2026 marketing strategy:

  • Treat media as conduit to business outcomes (not just impressions).
  • Treat data as capital (not just input).
  • Treat AI as engine (not just experiment).
  • Treat measurement as proof (not just dashboard).
  • Treat talent and culture as differentiation (not just overhead).

The brands and teams that master this discipline will not only keep pace, but they will also define the next wave of digital marketing. The question isn’t which of these trends you pick; it’s how deeply you embed them in your organization and operations.

So, here’s to 2026, the year where strategy becomes execution, complexity becomes clarity, and digital marketing becomes truly business-driven.

While others may see new things and declare, “We’re toast,” we will continue to analyze, synthesize, and examine the top 10 digital marketing trends and declare, “We’re on it.”

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Featured Image: beast01/Shutterstock

Redirection For Contact Form 7 WordPress Plugin Vulnerability via @sejournal, @martinibuster

A vulnerability in the popular WordPress Contact Form 7 plugin addon installed in over 300,000 websites enables attackers to upload malicious files and makes it possible for them to copy files from the server.

Redirection For Contact Form 7

The Redirection for Contact Form 7 WordPress plugin by Themeisle is an add-on to the popular Contact Form 7 plugin. It enables websites to redirect site visitors to any web page after a form submission, as well as store information in a database and other functions.

Vulnerable To Unauthenticated Attackers

What makes this vulnerability especially concerning is that it is an unauthenticated vulnerability, which means that an attacker doesn’t need to log in or acquire any level user privilege (like subscriber level). This makes it easier for an attacker take advantage of a flaw.

According to Wordfence:

“The Redirection for Contact Form 7 plugin for WordPress is vulnerable to arbitrary file uploads due to missing file type validation in the ‘move_file_to_upload’ function in all versions up to, and including, 3.2.7. This makes it possible for unauthenticated attackers to copy arbitrary files on the affected site’s server. If ‘allow_url_fopen’ is set to ‘On’, it is possible to upload a remote file to the server.”

That last part of the vulnerability is what makes exploiting it a little harder. ‘allow_url_fopen’ controls how PHP handles files. PHP ships with this set to “On” but most shared hosting providers routinely set this to “Off” in order to prevent security vulnerabilities.

Although this is an unauthenticated vulnerability which make it easier to take advantage, the fact that it relies on the PHP ‘allow_url_fopen’ setting to be “on” mitigates the likelihood of the flaw being exploited.

Users of the plugin are encouraged to update to version 3.2.8 of the plugin or newer.

Featured Image by Shutterstock/katalinks

Google Files DMCA Suit Targeting SerpApi’s SERP Scraping via @sejournal, @MattGSouthern

Google sued SerpApi in the U.S. District Court for the Northern District of California, alleging the company developed methods to bypass protections Google deployed to prevent automated scraping of Search results and the licensed content they contain.

Why This Case Is Different

Unlike previous cases that focused on terms-of-service violations or broader scraping methods, Google’s complaint is built on DMCA anti-circumvention claims.

Google argues SearchGuard is a protection measure that controls access to copyrighted works appearing in Search results. The complaint describes SearchGuard as a system that sends a JavaScript “challenge” to requests from unrecognized sources and requires the browser to return specific information as a “solve.”

Google says the system launched in January and initially blocked SerpApi. The complaint claims SerpApi then developed ways to bypass it.

The complaint document reads:

“Google developed and deployed a technological measure, known as SearchGuard, that restricts access to its search results pages and the copyrighted content they contain. So that it could continue its free riding, however, SerpApi developed a means of circumventing SearchGuard. With the automated queries it submits, SerpApi engages in a wide variety of misrepresentations and evasions in order to bypass the technological protections Google deployed. But each time it employs these artifices, SerpApi violates federal law.”

Why DMCA Section 1201 Is The Center Of The Complaint

Google’s complaint leans on DMCA Section 1201, which targets circumvention of access controls and also the sale of circumvention tools or services.

Google is bringing two claims: one focused on the act of circumvention (Section 1201(a)(1)) and another focused on “trafficking” in circumvention services or technology (Section 1201(a)(2)). The complaint says Google may elect statutory damages of $200 to $2,500 per violation.

The filing also argues that even if damages were awarded, SerpApi “reportedly earns a few million dollars in annual revenue,” and Google is seeking an injunction to stop the alleged conduct.

What Google Claims SerpApi Did

Google claims SerpApi circumvented SearchGuard in multiple ways, including misrepresenting attributes of requests (such as device, software, or location) to obtain authorization to submit queries.

The complaint quotes SerpApi’s founder describing the process as:

“creating fake browsers using a multitude of IP addresses that Google sees as normal users.”

Google estimates SerpApi sends “hundreds of millions” of artificial search requests each day, and says that volume increased by as much as 25,000% over two years.

The Licensed Content Angle

Google’s issue is not just “SERP data.” It centers on copyrighted content embedded in Search features through licensing and partner relationships.

The complaint says Knowledge Panels “often contain copyrighted photographs that Google licenses from third parties,” and it points to other examples like merchant-supplied product images in Shopping and third-party imagery used in Maps.

Google alleges SerpApi “scrape[s] this copyrighted content and more from Google” and resells it to customers for a fee, without permission or compensation to rights holders.

Why This Matters For SEO Tools

If your workflows depend on third-party SERP data (rank tracking, feature monitoring, competitive intelligence), this case is worth watching because Google is asking for an injunction that could cut off a source of automated SERP access.

Bigger vendors typically run their own collection systems. Smaller products, internal dashboards, and custom tools are more likely to depend on outside SERP APIs, which can create a single point of failure if a provider is forced to shut down or change methods.

Industry Context: Scraping Lawsuits Are Increasing

Google’s filing follows other litigation over scraping and content reuse.

Reddit sued SerpApi and other scraping companies in October over alleged scraping tied to Perplexity, but also notes Perplexity isn’t mentioned in Google’s lawsuit.

Antitrust Context, Briefly

This also lands after Judge Amit Mehta’s August 2024 liability ruling in the U.S. search antitrust case, with remedies ordered in 2025 and appeals expected.

That case deals with distribution and defaults. This one is about automated access to Search results pages and the content embedded in them. Still, they both sit inside the same broader debate about how much control platforms can exert over access and reuse.

What People Are Saying

Some reaction on X has framed the lawsuit as an existential threat to AI products that depend on third-party access to Google results, with one post calling it “the end of ChatGPT.”

The court filing and Google’s announcement are narrower, focused on SerpApi’s alleged circumvention of SearchGuard and the resale of copyrighted content embedded in Google Search features.

SerpApi, for its part, says it will “vigorously defend” the case and characterizes it as an effort to limit competition from companies building “next-generation AI” and other applications.

What Comes Next

Google is asking the court for monetary damages and an order blocking the alleged circumvention. It also wants SerpApi compelled to destroy technology involved in the alleged violations.

If the case proceeds, the central issue is whether SearchGuard qualifies as a DMCA-protected access control for copyrighted works, or whether SerpApi argues it functions more like bot-management, which it may contend falls outside Section 1201.