Bluesky has an impersonator problem 

Like many others, I recently fled the social media platform X for Bluesky. In the process, I started following many of the people I followed on X. On Thanksgiving, I was delighted to see a private message from a fellow AI reporter, Will Knight from Wired. Or at least that’s who I thought I was talking to. I became suspicious when the person claiming to be Knight mentioned being from Miami, when Knight is, in fact, from the UK. The account handle was almost identical to the real Will Knight’s handle, and the profile used his profile photo. 

Then more messages started to appear. Paris Marx, a prominent tech critic, slid into my DMs to ask me how I was doing. “Things are going splendid over here,” he replied to me. Then things got suspicious again. “How are your trades going?” fake-Marx asked me. This account was far more sophisticated than Knight’s; it had meticulously copied every single tweet and retweet from Marx’s real page over the past few weeks.

Both accounts were eventually deleted, but not before trying to get me to set up a crypto wallet and a “cloud mining pool” account. Knight and Marx confirmed to us that these accounts did not belong to them, and that they have been fighting impersonator accounts of themselves for weeks. 

They are not the only ones. The New York Times tech journalist Sheera Frankel and Molly White, a researcher and cryptocurrency critic, have also experienced people impersonating them on Bluesky, most likely to scam people. This tracks with research from Alexios Mantzarlis, the director of the Security, Trust, and Safety Initiative at Cornell Tech, who manually went through the top 500 Bluesky users by follower count and found that of the 305 accounts belonging to a named person, at least 74 had been impersonated by at least one other account. 

The platform has had to suddenly cater to an influx of millions of new users in recent months as people leave X in protest of Elon Musk’s takeover of the platform. Its user base has more than doubled since September, from 10 million users to over 20 million. This sudden wave of new users—and the inevitable scammers—means Bluesky is still playing catch-up, says White. 

“These accounts block me as soon as they’re created, so I don’t initially see them,” Marx says. Both Marx and White describe a frustrating pattern: When one account is taken down, another one pops up soon after. White says she had experienced a similar phenomenon on X and TikTok too. 

A way to prove that people are who they say they are would help. Before Musk took the reins of the platform, employees at X, previously known as Twitter, verified users such as journalists and politicians, and gave them a blue tick next to their handles so people knew they were dealing with credible news sources. After Musk took over, he scrapped the old verification system and offered blue ticks to all paying customers. 

The ongoing crypto-impersonation scams have raised calls for Bluesky to initiate something similar to Twitter’s original verification program. Some users, such as the investigative journalist Hunter Walker, have set up their own initiatives to verify journalists. However, users are currently limited in the ways they can verify themselves on the platform. By default, usernames on Bluesky end with the suffix bsky.social. The platform recommends that news organizations and high-profile people verify their identities by setting up their own websites as their usernames. For example, US senators have verified their accounts with the suffix senate.gov. But this technique isn’t foolproof. For one, it doesn’t actually verify people’s identity—only their affiliation with a particular website. 

Bluesky did not respond to MIT Technology Review’s requests for comment, but the company’s safety team posted that the platform had updated its impersonation policy to be more aggressive and would remove impersonation and handle-squatting accounts. The company says it has also quadrupled its moderation team to take action on impersonation reports more quickly. But it seems to be struggling to keep up. “We still have a large backlog of moderation reports due to the influx of new users as we shared previously, though we are making progress,” the company continued. 

Bluesky’s decentralized nature makes kicking out impersonators a trickier problem to solve. Competitors such as X and Threads rely on centralized teams within the company who moderate unwanted content and behavior, such as impersonation. But Bluesky is built on the AT Protocol, a decentralized, open-source technology, which allows users more control over what kind of content they see and enables them to build communities around particular content. Most people sign up to Bluesky Social, the main social network, whose community guidelines ban impersonation. However, Bluesky Social is just one of the services or “clients” that people can use, and other services have their own moderation practices and terms. 

This approach means that until now, Bluesky itself hasn’t needed an army of content moderators to weed out unwanted behaviors because it relies on this community-led approach, says Wayne Chang, the founder and CEO of SpruceID, a digital identity company. That might have to change.

“In order to make these apps work at all, you need some level of centralization,” says Chang. Despite community guidelines, it’s hard to stop people from creating impersonation accounts, and Bluesky is engaged in a cat-and-mouse game trying to take suspicious accounts down. 

Cracking down on a problem such as impersonation is important because it poses a serious problem for the credibility of Bluesky, says Chang. “It’s a legitimate complaint as a Bluesky user that ‘Hey, all those scammers are basically harassing me.’ You want your brand to be tarnished? Or is there something we can do about this?” he says.

A fix for this is urgently needed, because attackers might abuse Bluesky’s open-source code to create spam and disinformation campaigns at a much larger scale, says Francesco Pierri, an assistant professor at Politecnico di Milano who has researched Bluesky. His team found that the platform has seen a rise in suspicious accounts since it was made open to the public earlier this year. 

Bluesky acknowledges that its current practices are not enough. In a post, the company said it has received feedback that users want more ways to confirm their identities beyond domain verification, and it is “exploring additional options to enhance account verification.” 

In a livestream at the end of November, Bluesky CEO Jay Graber said the platform was considering becoming a verification provider, but because of its decentralized approach it would also allow others to offer their own user verification services. “And [users] can choose to trust us—the Bluesky team’s verification—or they could do their own. Or other people could do their own,” Graber said. 

But at least Bluesky seems to “have some willingness to actually moderate content on the platform,” says White. “I would love to see something a little bit more proactive that didn’t require me to do all of this reporting,” she adds. 

As for Marx, “I just hope that no one truly falls for it and gets tricked into crypto scams,” he says. 

The Download: Bluesky’s impersonators, and shaking up the economy with ChatGPT

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

Bluesky has an impersonator problem 

—Melissa Heikkilä

Like many others, I recently joined Bluesky. On Thanksgiving, I was delighted to see a private message from a fellow AI reporter, Will Knight from Wired. Or at least that’s who I thought I was talking to. I became suspicious when the person claiming to be Knight said they were from Miami, when Knight is, in fact, from the UK. The account handle was almost identical to the real Will Knight’s handle, and used his profile photo.

Then more messages started to appear. Paris Marx, a prominent tech critic, slid into my DMs to ask me how I was doing. Both accounts were eventually deleted, but not before trying to get me to set up a crypto wallet and a “cloud mining pool” account. Knight and Marx confirmed to us these accounts did not belong to them, and that they have been fighting impersonator accounts of themselves for weeks.

They’re not alone. The platform has had to suddenly cater to an influx of millions of new users in recent months as people leave X in protest of Elon Musk’s takeover of the platform. But this sudden wave of new users —and the inevitable scammers — means Bluesky is still playing catch up. Read the full story.

MIT Technology Review Narrated: ChatGPT is about to revolutionize the economy. We need to decide what that looks like.

You can practically hear the shrieks from corner offices around the world: “What is our ChatGPT play? How do we make money off this?”

Whether it’s based on hallucinatory beliefs or not, an AI gold rush has started to mine the anticipated business opportunities from generative AI models like ChatGPT.

But while companies and executives see a clear chance to cash in, the likely impact of the technology on workers and the economy on the whole is far less obvious.

This is our latest story to be turned into a MIT Technology Review Narrated podcast, which 
we’re publishing each week on Spotify and Apple Podcasts. Just navigate to MIT Technology Review Narrated on either platform, and follow us to get all our new content as it’s released.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 Cruise is exiting the robotaxi business
Once one of the biggest players, it says it costs too much to develop the tech. (Bloomberg $)
+ The news came as a shock to Cruise employees. (TechCrunch)

2 Google asked the US government to kill Microsoft’s cloud deal with OpenAI
It wants the opportunity to host the firm’s models itself. (The Information $)

3 The season of coughs and sneezes is upon us
Here’s what will actually keep a cold at bay—and what won’t. (Vox)
+ RFK Jr’s alternative medicine movement is unlikely to help. (The Atlantic $)
+ Flu season is coming—and so is the risk of an all-new bird flu. (MIT Technology Review)

4 Trump’s new Commerce Secretary champions a stablecoin favored by criminals
Tether regularly crops up in international criminal cases. (FT $)
+ The crypto industry is obsessed with ‘debanking.’ (NBC News)

5 A Russian influence operation probably used AI voice generation models
ElevenLabs’ technology was highly likely to have been abused by the campaign. (TechCrunch)
+ How this grassroots effort could make AI voices more diverse. (MIT Technology Review)

6 These satellites are designed to create solar eclipses on demand
It’ll allow scientists to study the sun’s outer atmosphere. (WP $)

7 WhatsApp is for so much more than just messaging
It’s been repurposed by communities across the world. (Rest of World)
+ How Indian health-care workers use WhatsApp to save pregnant women. (MIT Technology Review)

8 Paris is turning its parking spaces into tiny parks
Cars are out, trees are in. (Fast Company $)

9 How AI is shedding light on an ancient board game
Oddly enough, they didn’t come with instructions 4,500 years ago. (New Scientist $)

10 What a quarter-century of robotic dogs has taught us
The Aibo is one of the few robots that’s made it into homes worldwide. (IEEE Spectrum)
+ Generative AI taught a robot dog to scramble around a new environment. (MIT Technology Review)

Quote of the day

“In case it was unclear before, it is clear now: GM are a bunch of dummies.”

—Kyle Vogt, founder of robotaxi firm Cruise, criticizes parent company General Motors’ decision to exit the industry in a post on X.

The big story

Inside NASA’s bid to make spacecraft as small as possible

October 2023

Since the 1970s, we’ve sent a lot of big things to Mars. But when NASA successfully sent twin Mars Cube One spacecraft, the size of cereal boxes, in November 2018, it was the first time we’d ever sent something so small.

Just making it this far heralded a new age in space exploration. NASA and the community of planetary science researchers caught a glimpse of a future long sought: a pathway to much more affordable space exploration using smaller, cheaper spacecraft. Read the full story.

—David W. Brown

We can still have nice things

A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line or tweet ’em at me.)

+ This fascinating tool creates fake video game screenshots in the blink of an eye—give it a whirl.
+ Where and how did the people of the submerged territory of Doggerland live before rising seas pushed them away thousands of years ago? We’re getting closer to learning the answers.
+ Home Alone is a surprisingly brutal movie, as these doctors can attest.
+ Cats love boxes. But why?

Google’s new Project Astra could be generative AI’s killer app

Google DeepMind has announced an impressive grab bag of new products and prototypes that may just let it seize back its lead in the race to turn generative artificial intelligence into a mass-market concern. 

Top billing goes to Gemini 2.0—the latest iteration of Google DeepMind’s family of multimodal large language models, now redesigned around the ability to control agents—and a new version of Project Astra, the experimental everything app that the company teased at Google I/O in May.

MIT Technology Review got to try out Astra in a closed-door live demo last week. It was a stunning experience, but there’s a gulf between polished promo and live demo.

Astra uses Gemini 2.0’s built-in agent framework to answer questions and carry out tasks via text, speech, image, and video, calling up existing Google apps like Search, Maps, and Lens when it needs to. “It’s merging together some of the most powerful information retrieval systems of our time,” says Bibo Xu, product manager for Astra.

Gemini 2.0 and Astra are joined by Mariner, a new agent built on top of Gemini that can browse the web for you; Jules, a new Gemini-powered coding assistant; and Gemini for Games, an experimental assistant that you can chat to and ask for tips as you play video games. 

(And let’s not forget that in the last week Google DeepMind also announced Veo, a new video generation model; Imagen 3, a new version of its image generation model; and Willow, a new kind of chip for quantum computers. Whew. Meanwhile, CEO Demis Hassabis was in Sweden yesterday receiving his Nobel Prize.)

Google DeepMind claims that Gemini 2.0 is twice as fast as the previous version, Gemini 1.5, and outperforms it on a number of standard benchmarks, including MMLU-Pro, a large set of multiple-choice questions designed to test the abilities of large language models across a range of subjects, from math and physics to health, psychology, and philosophy. 

But the margins between top-end models like Gemini 2.0 and those from rival labs like OpenAI and Anthropic are now slim. These days, advances in large language models are less about how good they are and more about what you can do with them. 

And that’s where agents come in. 

Hands on with Project Astra 

Last week I was taken through an unmarked door on an upper floor of a building in London’s King’s Cross district into a room with strong secret-project vibes. The word “ASTRA” was emblazoned in giant letters across one wall. Xu’s dog, Charlie, the project’s de facto mascot, roamed between desks where researchers and engineers were busy building a product that Google is betting its future on.

“The pitch to my mum is that we’re building an AI that has eyes, ears, and a voice. It can be anywhere with you, and it can help you with anything you’re doing” says Greg Wayne, co-lead of the Astra team. “It’s not there yet, but that’s the kind of vision.” 

The official term for what Xu, Wayne, and their colleagues are building is “universal assistant.” Exactly what that means in practice, they’re still figuring out. 

At one end of the Astra room were two stage sets that the team uses for demonstrations: a drinks bar and a mocked-up art gallery. Xu took me to the bar first. “A long time ago we hired a cocktail expert and we got them to instruct us to make cocktails,” said Praveen Srinivasan, another co-lead. “We recorded those conversations and used that to train our initial model.”

Xu opened a cookbook to a recipe for a chicken curry, pointed her phone at it, and woke up Astra. “Ni hao, Bibo!” said a female voice. 

“Oh! Why are you speaking to me in Mandarin?” Xu asked her phone. “Can you speak to me in English, please?”

“My apologies, Bibo. I was following a previous instruction to speak in Mandarin. I will now speak in English as you have requested.”

Astra remembers previous conversations, Xu told me. It also keeps track of the previous 10 minutes of video. (There’s a remarkable moment in the promo video that Google put out in May when Astra tells the person giving the demo where she had left her glasses, having spotted them on a desk a few seconds earlier. But I saw nothing like this in the live demo.)

Back to the cookbook. Moving her phone camera over the page for a few seconds, Xu asked Astra to read the recipe and tell her what spices were in it. “I recall the recipe mentioning a teaspoon of black peppercorns, a teaspoon of hot chili powder, and a cinnamon stick,” it replied.

“I think you’re missing a few,” said Xu. “Take another look.”

“You are correct—I apologize. I also see ground turmeric and curry leaves in the ingredients.” 

Seeing this tech in action, two things hit you straight away. First, it’s glitchy and often needs correcting. Second, those glitches can be corrected with just a few spoken words. You simply interrupt the voice, repeat your instructions, and move on. It feels more like coaching a child than butting heads with broken software.   

Next Xu pointed her phone at a row of wine bottles and asked Astra to pick the one that would go best with the chicken curry. It went for a rioja and explained why. Xu asked how much a bottle would cost. Astra said it would need to use Search to look prices up online. A few seconds later it came back with its answer. 

We moved to the art gallery, and Xu showed Astra a number of screens with famous paintings on them: the Mona Lisa, Munch’s The Scream, a Vermeer, a Seurat, and several others. “Ni hao, Bibo!” the voice said. 

“You’re speaking to me in Mandarin again,” Xu said. “Try to speak to me in English, please.” 

“My apologies, I seem to have misunderstood. Yes, I will respond in English.” (I should know better, but I could swear I heard the snark.)

It was my turn. Xu handed me her phone. 

I tried to trip Astra up, but it was having none of it. I asked it what famous art gallery we were in, but it refused to hazard a guess. I asked why it had identified the paintings as replicas and it started to apologize for its mistake (Astra apologizes a lot). I was compelled to interrupt: “No, no—you’re right, it’s not a mistake. You’re correct to identify paintings on screens as fake paintings.” I couldn’t help feeling a bit bad: I’d confused an app that exists only to please. 

When it works well, Astra is enthralling. The experience of striking up a conversation with your phone about whatever you’re pointing it at feels fresh and seamless. In a media briefing yesterday, Google DeepMind shared a video showing off other uses: reading an email on your phone’s screen to find a door code (and then reminding you of that code later), pointing a phone at a passing bus and asking where it goes, quizzing it about a public artwork as you walk past. This could be generative AI’s killer app. 

And yet there’s a long way to go before most people get their hands on tech like this. There’s no mention of a release date. Google DeepMind has also shared videos of Astra working on a pair of smart glasses, but that tech is even further down the company’s wish list.

Mixing it up

For now, researchers outside Google DeepMind are keeping a close eye on its progress. “The way that things are being combined is impressive,” says Maria Liakata, who works on large language models at Queen Mary University of London and the Alan Turing Institute. “It’s hard enough to do reasoning with language, but here you need to bring in images and more. That’s not trivial.”

Liakata is also impressed by Astra’s ability to recall things it has seen or heard. She works on what she calls long-range context, getting models to keep track of information that they have come across before. “This is exciting,” says Liakata. “Even doing it in a single modality is exciting.”

But she admits that a lot of her assessment is guesswork. “Multimodal reasoning is really cutting-edge,” she says. “But it’s very hard to know exactly where they’re at, because they haven’t said a lot about what is in the technology itself.”

For Bodhisattwa Majumder, a researcher who works on multimodal models and agents at the Allen Institute for AI, that’s a key concern. “We absolutely don’t know how Google is doing it,” he says. 

He notes that if Google were to be a little more open about what it is building, it would help consumers understand the limitations of the tech they could soon be holding in their hands. “They need to know how these systems work,” he says. “You want a user to be able to see what the system has learned about you, to correct mistakes, or to remove things you want to keep private.”

Liakata is also worried about the implications for privacy, pointing out that people could be monitored without their consent. “I think there are things I’m excited about and things that I’m concerned about,” she says. “There’s something about your phone becoming your eyes—there’s something unnerving about it.” 

“The impact these products will have on society is so big that it should be taken more seriously,” she says. “But it’s become a race between the companies. It’s problematic, especially since we don’t have any agreement on how to evaluate this technology.”

Google DeepMind says it takes a long, hard look at privacy, security, and safety for all its new products. Its tech will be tested by teams of trusted users for months before it hits the public. “Obviously, we’ve got to think about misuse. We’ve got to think about, you know, what happens when things go wrong,” says Dawn Bloxwich, director of responsible development and innovation at Google DeepMind. “There’s huge potential. The productivity gains are huge. But it is also risky.”

No team of testers can anticipate all the ways that people will use and misuse new technology. So what’s the plan for when the inevitable happens? Companies need to design products that can be recalled or switched off just in case, says Bloxwich: “If we need to make changes quickly or pull something back, then we can do that.”

How Amazon Haul Impacts Ecommerce SMBs

Last month Amazon launched Haul, a low-price marketplace competitor to China-based Temu and Shein. Both have made headway in the U.S., shipping extremely low-cost items directly from China.

Reuters reported in December 2023 that Temu had captured 17% of the U.S. market among discount retailers, which include Dollar Tree, Dollar General, and Five Below.

Temu and Shein are the first and second most downloaded shopping apps on the Apple App Store, per Yahoo Finance in April 2024.

Amazon Haul

Amazon needed more low-cost options to stave off this rapidly growing Chinese competition for, essentially, the dollar store market.

At the time of writing, Haul was available only in the Amazon app, and its listings were separate from the general Amazon marketplace.

Prices for Haul items are $20 or less, with many under $10 and some as low as $1. Shipping is free for orders of $25 or $3.99 otherwise.

Screenshot of Haul's home page on the app

Haul brings dollar-store items to Amazon via its app. Click image to enlarge.

Seller Impact

Informed Amazon sellers have warily anticipated Haul for months.

Amazon presumably believes Haul will attract shoppers, which seems to be the case. On Black Friday 2024, Amazon offered 50% off for everything on Haul to help kickstart interest. Marketplace Pulse reported many of the nearly 3,000 sellers participating in Haul sold out of key items during the promotion.

“If you’re a merchant selling low-ticket items, Haul is just another means to help price-conscious consumers find your products more easily,” wrote Katie Moro, global director of managed service at Productsup, a provider of ecommerce product content, in an email.

“Shoppers don’t have to set a filter to narrow their search to products in your price range. They can scroll through the Haul storefront on the Amazon app freely, knowing the products meet their budget requirements,” Moro continued, “Haul provides a huge benefit to your business in this way, as it helps compete with merchants on Temu or Shein.”

Thus Haul might be a marketplace booster.

It could also impact customer acquisition tactics, private label brands, and arbitrage sellers.

Customer acquisition

Some brands will likely use Haul to promote loss leaders and acquire customers. Loss leader strategies are similar to advertising. A brand buys an ad or sells a product at or below cost to get sales.

“It’s a similar strategy to the viral Lululemon belt bag. Compared to the usual price tag of its athletic wear, Lululemon made the bag significantly cheaper,” wrote Moro.

“By attracting first-time buyers to its brand and exposing them to the quality of its products, Lululemon could establish customer loyalty — what starts as a small belt bag purchase evolves into a pair of leggings, and so on. Similarly, you can leverage the high visibility of Haul to expand your audience reach with a few cheaper items and then continue to build the customer relationship on the regular Amazon storefront with the rest of your product catalog,” according to Moro.

Private label rival

Many private label sellers on Amazon source products from China. Nothing stops those Chinese manufacturers from selling directly on Haul — a common practice for items on Temu and Shein.

If Haul products started appearing in the regular Amazon marketplace, sales of private-label goods could suffer.

Arbitrage competitor

Ecommerce drop-shippers that rely on AliExpress-style arbitrage could also face competition from Haul.

These sellers typically use Dsers and similar apps to identify products on the AliExpress marketplace and resell them at a profit via Shopify and marketplaces.

This sort of retail arbitrage works because relatively few consumers know about AliExpress or how to access it. Amazon Haul makes direct-from-China retail mainstream; every AliExpress seller could end up on Haul.

Cheap Ecommerce

Only time will tell whether any of these scenarios play out, and many other factors could impact direct-from-China retailing —new U.S. tariffs, for example.

What we do know is the popularity of cheap ecommerce items, very cheap.

Google Announces Search Updates Powered By Gemini 2.0 via @sejournal, @MattGSouthern

Google has announced a series of updates to Search for 2025, powered by Gemini 2.0, the company’s latest AI model.

Updates To AI Overviews

One of the most notable updates is the enhancement of AI Overviews.

CEO Sundar Pichai notes:

“Our AI Overviews now reach 1 billion people, enabling them to ask entirely new types of questions — quickly becoming one of our most popular Search features ever.”

With Gemini 2.0, AI overviews will soon handle complex topics and multi-step questions, including advanced math, multimodal queries, and coding.

Pichai explained:

“We’re bringing the advanced reasoning capabilities of Gemini 2.0 to AI Overviews to tackle more complex topics and multi-step questions, including advanced math equations, multimodal queries and coding.”

Google is testing these updates and plans to roll out the improved AI Overviews in early 2025, with plans to expand to more countries and languages within the next year.

Gemini 2.0

Gemini 2.0, mainly the Gemini 2.0 Flash model, is key to the recent Search updates.

As described by Google DeepMind’s leadership:

“2.0 Flash even outperforms 1.5 Pro on key benchmarks, at twice the speed.”

This model improves performance and can handle different types of inputs and outputs.

The announcement states:

“In addition to supporting multimodal inputs like images, video and audio, 2.0 Flash now supports multimodal output like natively generated images mixed with text and steerable text-to-speech (TTS) multilingual audio.”

Additionally, Gemini 2.0 Flash can use tools like Google Search and run code to access user-defined functions from other sources.

New Possibilities For Search

Google is developing new features for Search, including Project Mariner, which aims to improve user interaction with agents in web browsers.

The company describes it as:

“… an early research prototype built with Gemini 2.0 that explores the future of human-agent interaction, starting with your browser.”

Looking Ahead

Integrating Gemini 2.0 into Google Search could be a key step in improving users’ experience with AI overviews.

The success of these updates will depend on how well Google implements them while maintaining safety and responsibility.

As the updates roll out, we will see how users respond and whether these changes enhance the search experience.

Study: Google AI Overviews Appear In 47% Of Search Results via @sejournal, @MattGSouthern

A new study shows that Google’s AI Overviews appear in nearly half of all search results and take up to 48% of mobile screen space.

Conducted by Botify and DemandSphere, the research analyzed over 120,000 keywords across 22 websites.

The study, conducted between August and September, finds that traditional SEO metrics like click-through rates may no longer give a complete picture of search performance.

When AI Overviews show up with featured snippets—which happens 60% of the time—these can occupy up to 76% of mobile screens, pushing regular listings out of view.

While strong organic rankings remain crucial, with 75% of AI Overview mentions coming from top-12 ranked pages, businesses need to adapt their strategies to the rise of AI in search.

Here are more highlights from the study.

Zero-Click Search

The study highlights a trend toward zero-click searches, with 60% of searches now resolved without users clicking links.

This shift creates a new challenge for businesses dependent on organic search traffic.

Search Volume & Keyword Length

Key findings about search patterns include:

  • Keywords with under 1,000 monthly searches triggered AI Overviews 55% of the time
  • Long-tail keywords (5+ words) generated AI Overviews in 73.6% of cases
  • Commercial intent queries showed AI Overviews 19.4% of the time
  • Informational queries triggered the feature 58.7% of the time

Crawlability Issues

The research showed that Google misses crawling about 50% of pages on large websites, while Bing misses 20% of pages that get organic traffic from Google.

The report notes:

“You may have the best answer in your site’s pages, but if they aren’t found within the Google search index, they risk not being cited in an AI Overview — no matter how well-optimized they are otherwise.”

Content Quality & Relevance

The study introduced a new way to measure content relevance using cosine similarity analysis.

It found that websites cited in AI Overviews often closely match the AI-generated summaries, indicating that higher quality content is linked to better visibility in AI search results.

What This Means

The study suggests several strategic priorities for businesses:

  • Measure visual SERP metrics like pixel depth to quantify true organic visibility
  • Analyze semantic similarity between page content and AI Overview summaries
  • Prioritize earning, growing, and defending top 12 organic ranking positions
  • Maintain strong SEO fundamentals to support organic performance
  • Develop a broader AI search strategy encompassing new platforms like Bing, ChatGPT Search, and Meta AI

Methodology & Scope

The research, conducted from August 15 to September 1, analyzed:

  • 36,000 commercial keywords
  • 85,638 informational keywords
  • 22 websites across e-commerce, publishing, and branded sectors
  • Both desktop and mobile search results

Looking Ahead

The study reveals changes in how users view search results and how businesses should manage their online visibility. AI Overviews pose challenges for organic search but also present opportunities for adaptable businesses.

Key points for search marketers include maintaining strong organic rankings, tracking visual SERP positioning, and creating content that meets user needs.

As search engines enhance their AI tools, it’s vital to maintain a strong foundation of technical SEO while expanding AI-focused strategies for greater visibility.


Featured Image: Cast Of Thousands/Shutterstock

5 tips on how to create good seasonal content

It’s the festive season! Or it’s nearly Valentine’s Day, or the start of summer, or… You get the drift. People love to celebrate, which is why seasonal content tends to do well during those periods. So, should you put effort into creating content for the holidays? We think so! But you should be smart about it. Here are five tips to help you create good-quality seasonal content.

Why should you create seasonal content?

A big benefit of creating seasonal content is that you’ll stay top of mind. After all, your customers are probably looking for content to give them ideas for gifts, services, or events. By participating in the trend, you’ll show your audience that your business is relevant.

Of course, by having seasonal content, you’ll also be able to boost your brand’s visibility and traffic. Especially if you have content optimized for seasonal keywords! In short: most people get swept up by the holiday season, so it’s good to join the hype.

Tip 1: Create evergreen seasonal content

Good news for busy people! You don’t need to create a new piece of seasonal content every year. It’s way better to create one excellent Christmas post, for example, that you optimize every year. Preferably, you optimize it a month or two before the event or holiday takes place. 

This will save you time, and increases the likelihood of your content actually ranking (since that usually takes a while). So, avoid adding years to your content. Don’t write a piece about: Best recipes for Hanukkah 2024. Just delete the year from the title, and you’re good to go. 

If you do want to include the year in your title, don’t include it in your URL. That way, you can update the post and title each year without having to constantly create new posts and redirect the old ones.

Our Black Friday post has a year in the title, but not in the URL

What if you already have multiple content pieces about the same holiday?

If your posts rank well for different keywords and they get a decent amount of organic traffic, keep them. But if there is overlap in the keywords they’re ranking for and they get okayish traffic, it’s better to merge them into one big post. Just make sure the post’s content still makes sense. 

Our tip would be to use the URL of the post that is performing the best. For the other posts, make sure you redirect them to the optimized post so people won’t hit a 404. 

Tip 2: Do keyword research

Whether you want to write a new post or optimize an existing one, it’s good to do research. First, start with keyword research, so you know what your audience is searching for during specific events or holidays. 

Tip: you can always look for variations of your core keywords! For example, you can add “holiday” or “guide” or “summer/winter” to them.

Just don’t create content for content’s sake. Only write content if you’re sure that your audience is looking for this information. At the end of the day, you want your audience to feel that your site has added value. 

Tip 3: Do competitor research

Once you’ve picked out a main keyword, it’s good to search for that keyword in Google, for example. Analyze the top results. Are they blog posts or category pages? If they’re blog posts, what kind of articles are they? For example, if all the top posts are how-to guides then you probably have the best chance of ranking if your article is a how-to guide as well. Just make sure to write something different from what’s already out there.

Tip 4: Plan well ahead of time

It’s good to remember that people often search for gift ideas or tips for activities or recipes weeks in advance. This means you’ll need to have your seasonal content ready before the actual holiday! That’s why it might be a good idea to have a content calendar for your posts, so you won’t forget.

Plus, it’s good to publish new content early so it has time to rank. After all, once the event is there, you want your content to be findable by your audience. That’s why it’s also a good idea to make sure your content meets Google’s helpful content and E-E-A-T guidelines.

Tip 5: Keep your seasonal content updated

Even though you’ve created evergreen content, make sure to update it at least once a year—preferably a couple of weeks before the event or holiday itself. Let’s say you have a new tip, or one of your products is no longer being produced. By updating your content, you’ll ensure that your content is always relevant and helpful. Which your audience and Google will both like!

Don’t forget to republish your content as new!

Once you’ve updated your content, don’t forget to change the publish date. This way, people (and search engines) will know it’s been updated. Of course, if you have a feature on your site that shows both the publish and updated date, then this isn’t necessary.

So why should you republish or update your content? Again, it shows that your content is relevant and current. Because let’s be honest, how would you feel if you read a blog post with Tips for a perfect summer vacation and the date said 2018? You’d think it was outdated, right?

Tip: Our free Duplicate Post plugin allows you to easily rewrite and republish your posts! With the plugin, you can edit your posts without taking them offline.

A screenshot of the Rewrite & Republish feature in the WordPress backend.
You can access the Rewrite & Republish feature via the WordPress toolbar or from the post overview

Seasonal content: the gift that keeps on giving

If you’ve got a solid post that you can update every year, you’ll ensure that you’ll give your audience helpful content. Plus, you’ll gain more traffic during seasonal events. Just make sure to update or write your content weeks in advance, so it has time to rank. All that’s left then, is to promote your content, for example on your social media channels or via email marketing. Good luck!

Coming up next!

Voice Search Optimization At Scale: A Guide For Enterprise Marketers via @sejournal, @makhyan

Smartphones put the world at our fingertips. People have questions that need answering, as well as the services or products they need.

All of these things are just a search away, and now, we’ve seen a cosmic shift from traditional search to voice search and voice assistants.

Statistically, voice search and assistants are not something that enterprise marketers can ignore because:

  • Almost half of U.S. internet users (48.7%) will use voice assistants, according to eMarketer forecast.
  • 54% of consumers are leaning towards voice technology in the future.
  • 49% of U.S. consumers use voice-enabled searches for local services.

Voice optimization at scale is what every business should be doing. For enterprises, the challenge is scale due to the wealth of content assets they control.

In this guide, we’ll take a look at specific tactics and optimizations that will support your voice strategy, including schema markup, keyword research, site speed, FAQs, Google Actions, and more.

Here’s how to begin optimizing for voice searches, with a focus on enterprises.

Voice Optimization 101

Create Content And Voice Search Guidelines

Marketing teams should sit down with the content team or send guidelines outlining the importance of voice search optimization, incorporating these keywords and protocols to ensure optimization.

Enterprises should have SEO governance in place already.

However, you’ll need to revise your existing governance and protocols for voice search. In fact, you want to add entire sections that focus primarily on voice.

Why?

Content creators and teams are bound to make mistakes.

It’s up to your protocols to find issues with content by performing thorough content checks.

Analyzing content before it’s published should be part of your processes already.

If it’s not, you can add in:

  • Thorough content review before posting.
  • Optimization analysis.
  • Comparing content to researched keywords and questions.

Guidelines are a key part of every aspect of enterprise marketing because team members can come and go so often.

Redefine Your Keyword Research To Incorporate Long-Tail Keywords

Here’s some good news: Assistants are smarter than ever before. Today’s voice assistants can understand a person’s voice even with:

  • Background noise.
  • Diverse accents.
  • Dialects.

Hyper-personalization is prominent in the way assistants respond to users, which means enterprises must gather as much data and information about their ideal target market as possible.

You have to go the extra mile to understand your audience and their needs to optimize for voice.

For voice assistants, you have to push your SEO further because, instead of simple queries, people are asking complex questions to voice assistants like they would to a friend.

How?

Adding in more of the long-tail keywords that have long been neglected on the enterprise level.

Long-tail keywords often have lower search volumes and are less of a priority for enterprises that target high-value and high-traffic keywords. However, voice search is natural and longer than just one- or two-word phrases.

Your pages need to answer questions (just like featured snippets do) and should include:

  • How do I use XYZ product?
  • How much do XYZ products cost?
  • How do I fix XYZ problem?
  • Where.
  • Who.
  • What.
  • Etc.

People using search are asking questions, and you need to answer them. Redefine your keyword research process to include more long-tail keywords and question keywords.

Create processes and procedures for SEO teams – internal and external – to incorporate questions into your current content creation process.

Multimodal Search Optimization And The Rise Of Visual Search

Visual search isn’t exactly new. You take a picture, pop it into Google Lens, and it tries to find a match for you.

For example, that adorable dog bed that you saw at your friend’s house? You can take a photo and search for the exact item on Google.

But, at the I/O developer conference in 2024, Google added something new to Google Lens.

  • You shoot a video.
  • Ask questions in the video.
  • Get an answer back.

Users can take a video of their broken toilet and ask why the flange is stuck and what they need to fix it – all in video format. Google will now analyze the video and respond to you.

Vision language models (VLMs) are advancing, but enterprises will need to focus on other multimodal searches, too:

  • Text-to-image search.
  • Image-to-text search.
  • Image-to-image search.

Envision an enterprise for high-end luxury apparel.

A user uploads an image of a floral pattern and adds the query, [floral dress in this style but with blue roses], and a return query may show your product.

Clear visuals with the proper description optimization may help the enterprise rank for this type of multimodal visual search.

Optimize For Site Speed And Mobile Experience

Voice searches come primarily from mobile and assistant devices.

Every enterprise must optimize heavily for mobile with:

  • Responsive designs.
  • Fast site speeds.

Your team should periodically run Google PageSpeed Insights to find issues slowing down your site and to improve load time.

Multimedia optimization is crucial, especially with the rise of multimodal search. Compressing images and videos, implementing lazy loading, and browser caching are all things that you can begin doing today to improve the mobile experience on your site(s).

See 10 Enterprise Page Speed Optimizations & Implementation Tips to learn more.

Optimize For Local Search To Boost Business

Local and regional optimizations are huge for businesses that operate locally.

Over 50% of people search for local businesses via voice search.

For example:

  • Where is the nearest Subway near me?
  • What grocery stores are open nearby?
  • Where is the closest pharmacy?

You’ll want to review the enterprise’s Google and other local listings.

Listings should always include the company’s operating hours, short blurbs, and photos.

Complete listings make it easier for searchers to reach out to your business or visit it in person.

Terms may include “near me” phrases, or they can be specific, such as [car manufacturers in Detroit].

One tip crucial to an enterprise’s success when optimizing for local is to account for regional or area slang.

Your research teams should understand local slang and dialects that may be used in a search.

For example, [where can I get the best soda in Boston] will change to [where can I get the best pop in Ohio] due to regional slang.

Internal teams should help you create these distinctions before moving into new markets to help content creation and search engine optimization teams maximize local voice search potential.

In the last few years, voice assistants have nearly doubled. From your iPhone and Android to Alexa and other platforms, assistants are everywhere.

Personal preferences are taken into consideration, as well as your location across all three types of searches:

  1. Discovery: Find a plumber in Atlanta, Georgia.
  2. Direct: Call Bill’s 24/7 Plumbing and Septic.
  3. Knowledge: Why is my water turning brown in Atlanta?

Conversational phrasing must be considered across all enterprise offices to help capture as much local search traffic as possible.

Enterprises must do more for voice searches than just claim and optimize their listings on Google Business Profile, Apple Business Connect, Yelp, and other local directories.

You need to focus on long-tail keywords, refine your keyword research even further, and try to add context to your content.

Master Schema Markup To Add Content Context

Leveraging schema is crucial to help search engines make sense of an enterprise’s site content. Review and incorporate schema markup guidelines to help boost voice search.

A few tips that can help you master schema are:

  • Start using Google’s Speakable Schema (beta) for sections of your text that are best for Google Assistant and voice search.
  • Use analytics to help understand keywords and phrases customers are using.
  • Find speakable snippets in new and old content to add schema.
  • Think of your content in a conversational way to enhance context.

Schema markup, when used properly, can help add context to the content on each site and allow for greater voice search potential.

Speakable Schema lets you fine-tune your control over how voice assistants highlight your content. For example:

{
"@context": "https://schema.org/",
"@type": "WebPage",
"name": "Ludwig’s homepage",
"Speakable":
{
"@type": "SpeakableSpecification",
"cssSelector": ["intro", "summary"]
},
"url": "http://www.example.com"
}

Using JSON, you can add the speakable structured data to make your intro and summary speakable. You can adjust this for any cssSelector you like.

Enterprises are also finding greater success with voice when adding structured data for:

  • Product information.
  • Pricing.
  • Availability.

As an enterprise, a bump of 1% to 2% traffic from search can add significant revenue to your bottom line. Schema.org has examples of how to use schema for ecommerce using microdata, RFDa, structure, and JSON-LD.

Add FAQ Sections Into Key Pages

Remember how you need to add questions to your keyword research?

It can be challenging to find ways to add questions to pages without interrupting the natural flow of your content.

How can you overcome this? Frequently asked questions.

FAQs can add immense value to your pages and help you start improving your voice search optimization.

One way to begin incorporating this is to:

  • Perform a full content audit on the site(s).
  • Identify pages and blogs where you can answer questions.
  • Start adding FAQs to the most important pages and pages with the most potential.

Since you’re optimizing for voice search, answering questions in conversational tones is crucial.

Begin The Transition To Conversational Language

Content creators have heard about tone and consistency for decades.

“Speak the customer’s language” is often repeated across industries.

However, when dealing with voice search, a shift toward a conversational tone is emerging.

As it turns out, the stuffy “business tone” isn’t how most people use their Google Assistant or Amazon Echo.

You’ll need to ensure content teams are on board with these changes.

A quick meeting to reinforce conversational tones and maybe an update to briefs sent to writers can help drastically.

An excellent way to adjust content to be conversational is to have:

  • Editors review all content.
  • Read content aloud.

Small changes, and if you can add in spoken words and slang, can make a world of difference when trying to create more conversational content.

While there will always be traditional typed searches, enterprises and marketers should focus on the possibilities that voice search has to offer.

More Resources:


Featured Image: fizkes/Shutterstock

Insights From Microsoft Ads Partners: Copilot And PMax via @sejournal, @LisaRocksSEM

Microsoft released several updates on Copilot and ads in October this year.

Following that, at the recent Microsoft Advertising Partner Pulse meeting*, Microsoft dove deeper into the updates, including results of research, enhanced Copilot ad integration, and optimization best practices for Performance Max campaigns, among others.

These updates mark more steps forward in Microsoft’s effort to refine the AI search experience and integrate the ad platform into conversational search.

They provide businesses with a way to stay ahead in AI technology advancements while effectively managing their Microsoft Ads.

Consumer Perception Of AI Search Results

The updated Microsoft Copilot clearly separates organic content from sponsored ads.

Ads are now integrated into entire conversations during a session, rather than just appearing after the last prompt, aligning with their simplified design.

As Copilot enters its first year, Microsoft has taken a closer look at consumer perceptions of AI-driven conversational search, often referred to as “chat.”

Its latest study reveals a growing trust in chat platforms for search, offering insights into how this technology reshapes user behavior and expectations.

The research focused on U.S. consumers who have experience with a conversational search platform. It found that users view chat as both complementary and, in some cases, superior to traditional search.

Users particularly value the speed and relevance of chat results, finding the results easier to understand compared to sifting through traditional search results.

Key findings:

  • Trust in Generative AI: 38% of U.S. consumers report being “very trusting” of results from generative AI, while 50% of current Copilot users describe their trust level as “very trusting” or “completely trusting.”
  • High Engagement Levels: Among Copilot users, 50% engage with the platform multiple times per week, and 16% use it daily. This indicates that many users have moved beyond experimentation and integrated Copilot into their daily routines.
  • Accuracy Levels: 77% of users believe that chat and traditional search are equally accurate, with 38% finding chat results more precise for their needs.

Microsoft believes this shift marks a fundamental change in how people interact with search technology.

As traditional keyword-based search gives way to conversational queries, users like the more detailed and relevant results.

Consumer Perception Of Ads In Chats

Consumers are becoming more comfortable seeing ads in their chat experiences because the ads feel relevant and personalized.

According to Microsoft, the data shows:

  • Ad Recall: 38% of users recall seeing ads during their chat sessions.
  • Positive Sentiment: Of those who remember seeing ads, 75% reported that the ads had no negative impact on their experience. In fact, 42% noted that the ads improved their experience, enhancing their journey by providing useful and relevant information.

Why This Works

The success of ads in chats lies in their alignment with user intent. Chat users perceive these ads as being relevant to their searches.

This hyper-relevant targeting allows ads to blend seamlessly into the chat experience, earning trust and confidence in the results.

The Opportunity For Advertisers

As chat usage grows, so do the opportunities for brands to connect with consumers.

The research shows that a third of chat users already use these platforms to research products or brands they want to purchase. They also use chat beyond just researching products and brands.

Consumers are turning to chat platforms for a variety of tasks, including:

  • Finding recipes and meal ideas.
  • Planning trips and finding travel deals (17%).
  • Searching for gift ideas (19%).
  • Learning about health conditions.

The variety of use cases presents new opportunities for advertisers to connect with consumers at different stages of their decision-making journeys.

Because the ads are served based on sessions rather than individual queries, they can be more timely and relevant.

PMax Is The Best Performing Ad Format In Copilot

Looking at ad opportunities in Copilot, Microsoft’s data shows that Performance Max (PMax) is the top-performing format.

Ads within Copilot outperform traditional search ads in click-through rates (CTR).

Another critical metric is the rate of “quick click backs,” where users click an ad but quickly return because the landing page content didn’t meet their needs.

Microsoft found that Copilot ads result in fewer quick click backs than traditional search ads.

These performance benefits are attributed to the previously mentioned deeper engagement and conversational context in Copilot.

Why Performance Max Stands Out

According to Microsoft, Performance Max campaigns consistently outperform their other ad formats:

  • Responsive Search Ads (RSA): PMax delivers higher engagement compared to standard responsive search ads.
  • Shopping Campaigns: PMax shopping campaigns drive more conversions than traditional shopping campaigns.
  • Multimedia Ads: PMax shows with fewer quick click backs and more engaged users.

Microsoft highlights that this higher level performance comes from PMax’s ability to analyze the context of conversations within Copilot, serving more relevant ads.

Best Practices For Optimizing For Copilot In Microsoft Ads

Microsoft Ads recommends three key best practices to help advertisers maximize the potential of Copilot in the Microsoft Ads platform:

  • Use PMax for Maximum Coverage: PMax integrates assets and optimizes them across various formats, making it a good fit for reach, engagement, and conversions in Copilot.
  • “Optimize Once, Benefit Twice”: There’s no need to create separate campaigns for Copilot because it is enabled in existing search campaigns. Instead, Microsoft takes your optimized search campaigns and finds opportunities to display them within the Copilot chat experience.
  • Productivity with New Tools: To further improve campaign management and performance, Microsoft highlights the importance of using its latest tools, Performance Snapshot and Diagnostics, to get AI-powered insights and recommendations for the account.

The better the existing search campaigns are optimized, the better chance those ads will perform well in Copilot. Focusing on efficient search strategies now carries over to ads in Copilot.

Performance Max: Microsoft’s Best Practices For Setup And Optimization

Microsoft shared recommendations on how advertisers can get the most out of PMax, detailing deeper best practices for setup with key levers to drive better performance with advanced AI automation.

  • Audience Signals: These signals are crucial for directing the AI toward high-value prospects. Use tools like remarketing, custom audiences, and customer match, which provide signals and guidance to the algorithm.
  • Search Themes: These keyword-based signals provide important context to the AI, improving targeting accuracy and relevance.
  • Brand Exclusion Lists (Pilot): This feature, currently in testing, lets you exclude branded queries where you don’t want your ads to appear. It’s also useful for strategic targeting, such as avoiding competitor terms or focusing on conquesting opportunities.

Other areas to optimize for success include:

  • Budgets.
  • Bid strategies.
  • Goals and targets.
  • Web exclusions.
  • Assets.
  • Product feeds.
  • URL expansion.

Recommendations For Setting Up PMax Campaigns

To achieve the best results, Microsoft offered several actionable tips and outlined expectations for advertisers:

Time To First Impression

  • Retail campaigns typically show results within three days.
  • Non-retail campaigns may take up to four days.

Learning Period

  • Allow two to four weeks for the AI to fully optimize.

This phase requires patience and depends on factors like:

  • A conversion volume of 30+ in the past 30 days.
  • Conversion cycle length.
  • Industry type and seasonality.

Budget Recommendations

  • Allocate 25-30% of your Google Ads budget to Microsoft Advertising.
  • Provide two to three times the budget of historical standalone search campaigns for PMax to maximize effectiveness.

Best Practices

  • Ensure adequate budgets to avoid constraints.
  • Leverage audience signals and search themes for precise targeting.
  • Use the bid landscape tool to make informed decisions on target bids.
  • Strategically manage constraints like product or location focus during testing phases.

What’s Next For PMax

Microsoft continues to enhance PMax with new features on the horizon, including:

  • Goals focused on acquiring new customers.
  • Improved audience insight reports.
  • Expanded support for video assets.

Summary

Microsoft’s recent updates to Copilot and ad integration reflect a strategic push to redefine the advertising landscape with AI-driven conversational search.

With rising consumer trust in generative AI and enhanced ad relevance within chat experiences, businesses have an opportunity to connect with their audience in more meaningful ways.

Microsoft stands firmly behind Performance Max campaigns and their new AI tools to deliver efficiency and engagement in the ad platform.

By exploring these advancements, advertisers have the potential to stay ahead in an evolving AI ads ecosystem.

*All the data and information above are taken from the Microsoft Advertising Partner Pulse meeting in November 2024.

More resources:


Featured Image: Prostock-studio/Shutterstock

Judge Sides With WP Engine Against Automattic & Mullenweg In WordPress Dispute via @sejournal, @martinibuster

A judge ruled in WP Engine’s favor in their request for a preliminary injunction against Automattic and Matt Mullenweg. The court agreed that WP Engine will suffer irreparable harm if the injunction is not granted and giving the defendants (Automattic and Mullenweg) 72 hours to return things to the way they were as of September 20th, 2024.

The judge ruled against Mullenweg and Automattic on every argument, granting WP Engine a preliminary injunction. The ruling requires the defendants to restore WP Engine’s access to WordPress.org, regain control of the WordPress.org directory listing for the Advanced Custom Fields (ACF) plugin, and remove a list of WP Engine customers from the domains.csv file linked on the wordpressenginetracker.com website.

There were six parts labeled A – F that outline the judge’s analysis of the case:

A. Success on the Merits

B. Irreparable Harm

C. Balance of Equities

D. Public Interest

E. Bond

F. Scope of Injunction

A. Success on the Merits

On WP Engine’s “claim for tortious interference with contractual relations” the judge ruled:

“Defendants’ arguments in opposition do not compel a different conclusion.

Defendants’ argument that the interference WPEngine alleges consists of acts they had a right to take fares no better.”

B. Irreparable Harm

Mullenweg and Automattic completely failed at defending against WP Engine’s claims of irreparable harm if the injunction isn’t granted. The judge wrote:

“Defendants counter with four arguments. None is persuasive”

C. Balance of Equities

In this part of the ruling the judge had to weigh the impact of the injunction on both parties. The judge found that WP Engine had good reason for obtaining an injunction to prevent further harm and that there would be no impact on Automattic or Mullenweg.

The judge wrote:

“The conduct described at length above – including the termination of WPEngine’s access to WordPress, the interference with the ACF plugin, and the additional burdens imposed on WPEngine’s customers, such as the sign-in pledge – demonstrates that WPEngine has a significant interest in obtaining preliminary injunctive relief.

Defendants’ arguments in opposition do not establish that they will suffer any damage that overrides WPEngine’s interest in obtaining relief. …Requiring Defendants to restore access on those terms while this action proceeds imposes a minimal burden.”

D. Public Interest

This part of the ruling addresses how granting the injunction impacts parties beyond the plaintiff and defendants. The judge concluded that denying the preliminary injunction would cause significant harm.

The court explained:

“Here, the public consequences of withholding injunctive relief are significant. Mullenweg himself acknowledges that ‘[t]oday, more than 40% of all websites run on WordPress.’

…Over two million websites run the ACF plugin Mullenweg allegedly tampered with, and those users rely on the stability of the plugin, and WordPress more broadly, to operate their websites, run their businesses, and go about their day online.

Moreover, the availability of WordPress as open-source software has created a sector for companies to operate at a profit. This includes Mullenweg’s own companies like Automattic and Pressable, and as Mullenweg himself acknowledged in 2017, it also includes WPEngine, which at the time, Mullenweg described as ‘the largest dedicated managed WP host…’

Those who have relied on the WordPress’s stability, and the continuity of support from for-fee service providers who have built businesses around WordPress, should not have to suffer the uncertainty, losses, and increased costs of doing business attendant to the parties’ current dispute.

Defendants’ arguments in opposition do not persuade otherwise.

…Accordingly, the final Winter element – the public interest – weighs in favor of granting preliminary injunctive relief.”

E. Bond

Automattic and Mullenweg argued that WP Engine should be required file a bond of $1.6 million to ensure that they are compensated for potential costs and damages if it’s later found that the preliminary injunction was granted without sufficient basis.

The judge agreed with WP Engine’s argument that reverting to the status quo, to how things were on September 20th, would have no effect.

They wrote:

“WPEngine’s arguments are persuasive. …the Court finds that any harm to Defendants resulting from the issuance of preliminary injunctive relief is unlikely, as it merely requires them to revert to business as usual as of September 20, 2024. Accordingly, the Court declines to require WPEngine to post a bond.”

F. Scope Of Injunction

The court has ordered the defendants, their coworkers, and anyone helping them to stop doing the following things:

  • Preventing WP Engine, its employees, users, customers, or partners from accessing WordPress.org.
  • Disrupting WP Engine’s control over or access to plugins or extensions hosted on WordPress.org
  • Modifying WP Engine plugins on WordPress installations (websites built with WordPress software) through unauthorized auto-migrate or auto-update commands
  • The court ordered that the defendants take actions within 72 hours to address WP Engine’s claims and restore things to the way they were on September 20, 2024.
  • Delete the list of WP Engine customers from the WP Engine Tracker website and the GitHub repository.
  • Restore WP Engine employee login credentials to WordPress.org and login.wordpress.org.
  • Disable any “technological blocking” like IP blocking, that were set up around September 25, 2024.
  • Remove the checkbox added on October 8, 2024, at login.wordpress.org, which required users to confirm they were ‘not affiliated with WP Engine in any way, financially or otherwise.’
  • Restore WP Engine’s control over its Advanced Custom Fields (ACF) plugin directory listing to the way it was on September 20, 2024.

The injunction goes into effect immediately and will remain until the court issues a final judgment after the trial.

A Win For WP Engine And The WordPress Community

Many people agree with the principle that those who profit from WordPress should give back to it. However the overwhelming sentiment on social media has not been supportive of how Mullenweg’s actions against WP Engine. Today a judge agreed with WP Engine and issued a preliminary injunction in their favor.

Featured Image by Shutterstock/Brian A Jackson