Mullenweg Pauses WordPress Services – Hopes To Reopen Next Year via @sejournal, @martinibuster

Matt Mullenweg announced the abrupt pause in services offered by WordPress.org, affecting plugin submissions, reviews, theme submissions, and additions to the photo directory. He offers to keep providing these services to WP Engine, citing the recent court order against him and Automattic that compels him to offer “free labor and services.”

Pause For The Holidays

Mullenweg published a post on the official WordPress blog to announce a pause in free services offered by WordPress.org to give the “many tired volunteers around WordPress.org a break for the holidays.”

The pause affects:

  • New account registrations on WordPress.org
  • New plugin directory submissions
  • New plugin reviews
  • New theme directory submissions
  • New photo directory submissions

The pause doesn’t affect the ability to install new instances of WordPress sites or accounts, which sounds contradictory.

Here’s what he wrote in his list of what services are paused:

“New account registrations on WordPress.org (clarifying so press doesn’t confuse this: people can still make their own WordPress installs and accounts)”

Mullenweg makes a point to note that the pause doesn’t affect WP Engine, stating that he’s legally required to keep providing free labor and services” services to WP Engine, writing that if WP Engine requires those services they can have their “high-priced attorneys” speak to his “high-priced attorneys” to gain access.

He then shared a cryptic message that implied there was a chance that WordPress may not resume those services in 2025, saying that it hinged on his being able to find the “time, energy, and money” to undo the pause in 2025, which he writes is being expended defending against WP Engine’s lawsuit against him and Automattic.

Mullenweg wrote:

“Right now much of the time I would spend making WordPress better is being taken up defending against WP Engine’s legal attacks. Their attacks are against Automattic, but also me individually as the owner of WordPress.org, which means if they win I can be personally liable for millions of dollars of damages.”

He signs off inviting those who’d like to fund those attacks on him to sign up for WP Engine and that those who don’t can sign up for other web hosts, linking to both WP Engine and a WordPress.org page that offers promotions to induce WP Engine clients to switch away.

Read Mullenweg’s announcement here:

Holiday Break

Featured Image by Shutterstock/MPIX

Accelerating AI innovation through application modernization

Business applications powered by AI are revolutionizing customer experiences, accelerating the speed of business, and driving employee productivity. In fact, according to research firm Frost & Sullivan’s 2024 Global State of AI report, 89% of organizations believe AI and machine learning will help them grow revenue, boost operational efficiency, and improve customer experience.

Take for example, Vodafone. The telecommunications company is using a suite of Azure AI services, such as Azure OpenAI Service, to deliver real-time, hyper-personalized experiences across all of its customer touchpoints, including its digital chatbot TOBi. By leveraging AI to increase customer satisfaction, Naga Surendran, senior director of product marketing for Azure Application Services at Microsoft, says Vodafone has managed to resolve 70% of its first-stage inquiries through AI-powered digital channels. It has also boosted the productivity of support agents by providing them with access to AI capabilities that mirror those of Microsoft Copilot, an AI-powered productivity tool.

“The result is a 20-point increase in net promotor score,” he says. “These benefits are what’s driving AI infusion into every business process and application.”

Yet realizing measurable business value from AI-powered applications requires a new game plan. Legacy application architectures simply aren’t capable of meeting the high demands of AI-enhanced applications. Rather, the time is now for organizations to modernize their infrastructure, processes, and application architectures using cloud native technologies to stay competitive.

The time is now for modernization

Today’s organizations exist in an era of geopolitical shifts, growing competition, supply chain disruptions, and evolving consumer preferences. AI applications can help by supporting innovation, but only if they have the flexibility to scale when needed. Fortunately, by modernizing applications, organizations can achieve the agile development, scalability, and fast compute performance needed to support rapid innovation and accelerate the delivery of AI applications. David Harmon, director of software development for AMD says companies, “really want to make sure that they can migrate their current [environment] and take advantage of all the hardware changes as much as possible.” The result is not only a reduction in the overall development lifecycle of new applications but a speedy response to changing world circumstances.

Beyond building and deploying intelligent apps quickly, modernizing applications, data, and infrastructure can significantly improve customer experience. Consider, for example, Coles, an Australian supermarket that invested in modernization and is using data and AI to deliver dynamic e-commerce experiences to its customers both online and in-store. With Azure DevOps, Coles has shifted from monthly to weekly deployments of applications while, at the same time, reducing build times by hours. What’s more, by aggregating views of customers across multiple channels, Coles has been able to deliver more personalized customer experiences. In fact, according to a 2024 CMSWire Insights report, there is a significant rise in the use of AI across the digital customer experience toolset, with 55% of organizations now using it to some degree, and more beginning their journey.

But even the most carefully designed applications are vulnerable to cybersecurity attacks. If given the opportunity, bad actors can extract sensitive information from machine learning models or maliciously infuse AI systems with corrupt data. “AI applications are now interacting with your core organizational data,” says Surendran. “Having the right guard rails is important to make sure the data is secure and built on a platform that enables you to do that.” The good news is modern cloud based architectures can deliver robust security, data governance, and AI guardrails like content safety to protect AI applications from security threats and ensure compliance with industry standards.

The answer to AI innovation

New challenges, from demanding customers to ill-intentioned hackers, call for a new approach to modernizing applications. “You have to have the right underlying application architecture to be able to keep up with the market and bring applications faster to market,” says Surendran. “Not having that foundation can slow you down.”

Enter cloud native architecture. As organizations increasingly adopt AI to accelerate innovation and stay competitive, there is a growing urgency to rethink how applications are built and deployed in the cloud. By adopting cloud native architectures, Linux, and open source software, organizations can better facilitate AI adoption and create a flexible platform purpose built for AI and optimized for the cloud. Harmon explains that open source software creates options, “And the overall open source ecosystem just thrives on that. It allows new technologies to come into play.”

Application modernization also ensures optimal performance, scale, and security for AI applications. That’s because modernization goes beyond just lifting and shifting application workloads to cloud virtual machines. Rather, a cloud native architecture is inherently designed to provide developers with the following features:

  • The flexibility to scale to meet evolving needs
  • Better access to the data needed to drive intelligent apps
  • Access to the right tools and services to build and deploy intelligent applications easily
  • Security embedded into an application to protect sensitive data

Together, these cloud capabilities ensure organizations derive the greatest value from their AI applications. “At the end of the day, everything is about performance and security,” says Harmon. Cloud is no exception.

What’s more, Surendran notes that “when you leverage a cloud platform for modernization, organizations can gain access to AI models faster and get to market faster with building AI-powered applications. These are the factors driving the modernization journey.”

Best practices in play

For all the benefits of application modernization, there are steps organizations must take to ensure both technological and operational success. They are:

Train employees for speed. As modern infrastructure accelerates the development and deployment of AI-powered applications, developers must be prepared to work faster and smarter than ever. For this reason, Surendran warns, “Employees must be skilled in modern application development practices to support the digital business needs.” This includes developing expertise in working with loosely coupled microservices to build scalable and flexible application and AI integration.

Start with an assessment. Large enterprises are likely to have “hundreds of applications, if not thousands,” says Surendran. As a result, organizations must take the time to evaluate their application landscape before embarking on a modernization journey. “Starting with an assessment is super important,” continues Surendran. “Understanding, taking inventory of the different applications, which team is using what, and what this application is driving from a business process perspective is critical.”

Focus on quick wins. Modernization is a huge, long-term transformation in how companies build, deliver, and support applications. Most businesses are still learning and developing the right strategy to support innovation. For this reason, Surendran recommends focusing on quick wins while also working on a larger application estate transformation. “You have to show a return on investment for your organization and business leaders,” he says. For example, modernize some apps quickly with re-platforming and then infuse them with AI capabilities.

Partner up. “Modernization can be daunting,” says Surendran. Selecting the right strategy, process, and platform to support innovation is only the first step. Organizations must also “bring on the right set of partners to help them go through change management and the execution of this complex project.”

Address all layers of security. Organizations must be unrelenting when it comes to protecting their data. According to Surendran, this means adopting a multi-layer approach to security that includes: security by design, in which products and services are developed from the get-go with security in mind; security by default, in which protections exist at every layer and interaction where data exists; and security by ongoing operations, which means using the right tools and dashboards to govern applications throughout their lifecycle.

A look to the future

Most organizations are already aware of the need for application modernization. But with the arrival of AI comes the startling revelation that modernization efforts must be done right, and that AI applications must be built and deployed for greater business impact. Adopting a cloud native architecture can help by serving as a platform for enhanced performance, scalability, security, and ongoing innovation. “As soon as you modernize your infrastructure with a cloud platform, you have access to these rapid innovations in AI models,” says Surendran. “It’s about being able to continuously innovate with AI.”

Read more about how to accelerate app and data estate readiness for AI innovation with Microsoft Azure and AMD. Explore Linux on Azure.

This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff.

New Ecommerce Tools: December 19, 2024

Each week we handpick new products and services for ecommerce merchants and curate them in a list. This installment includes updates on returns, payment financing, AI-powered assistants, social commerce, shipping, and security tools.

Got an ecommerce product release? Email releases@practicalecommerce.com.

New Tools for Merchants

eBay and Klarna expand BNPL partnership. eBay and Klarna have expanded their collaboration to European markets. eBay is offering Klarna’s buy-now-pay-later payments to shoppers in the U.K., Austria, France, Italy, Spain, and The Netherlands, with more markets coming soon. Payment options include interest-free “pay in 3,” pay in 30 days, or financing for larger purchases. The European expansion follows eBay’s recent announcement of free selling in the U.K.

Web page announcing the eBay and Klarna partnership

Ebay and Klarna

Amazon integrates Intuit QuickBooks for sellers. Intuit QuickBooks is now a preferred partner of Amazon for financial management solutions — integrated directly into Amazon Seller Central starting in mid-2025. The expanded Amazon-Intuit partnership will allow sellers to bring their existing Amazon data into Intuit products to understand and optimize profitability, manage cash flow, access capital, and simplify taxes.

Wix releases AI-powered virtual agent for customers. Wix.com, a website builder platform, has launched the AI Site-Chat virtual agent. According to Wix, with AI Site-Chat, businesses can connect with visitors anytime, answer questions, and provide relevant information in real-time. The customizable Site-Chat attempts to recognize the intent behind each user query, allowing it to deliver more precise search results and tailored recommendations.

Shopify releases Winter ’25 Boring Edition. Shopify has released its Winter ’25 Edition, called The Boring Edition, with more than 150 updates. According to Shopify, cart loading times are reduced, and checkout buttons are up to 58% faster. New customization options include checkout blocks, chat integration, and expansion of draft orders. Shopify POS has been updated, and Shopify Flow now automates more tasks, including returns and exchanges, marketing campaigns, and targeting with segment-based triggers.

Web page for Shopify's Winter ‘25 Boring Edition

Shopify’s Winter ’25 Boring Edition

ShipStation and Adobe Commerce partner on shipping tools for merchants. ShipStation, a shipping software from Auctane, has announced an expanded relationship with Adobe Commerce to provide merchants with shipping options to compare prices, print shipping labels, automate workflows, and more. Adobe Commerce sellers can unlock shipping features through the ShipStation extension, including in-cart delivery options within online storefronts and shipping cost calculators.

TikTok Shop launches in Ireland and Spain. TikTok Shop has launched in Ireland and Spain. Per TikTok, upcoming features include live shopping, shoppable videos in the “for you” feed, product showcases, affiliate programs, shop ads, and secure checkout. The launch in Ireland is in collaboration with Guaranteed Irish, which assists in identifying Irish products and merchants for consumers.

Shipium partners with DoorDash to improve local delivery for merchants. Shipium, an end-to-end shipping platform for ecommerce sellers, has partnered with DoorDash Drive On-Demand, a white-label fulfillment platform. Shipium customers now have immediate access to DoorDash’s services through the pre-integrated carrier network. Customers establish a relationship with DoorDash Drive On-Demand and turn on services. DoorDash Drive On-Demand helps retailers offer and outsource local delivery.

Web page for DoorDash's Drive On-Demand

DoorDash’s Drive On-Demand

Loop acquires Wonderment to expand its returns platform. Loop, a commerce returns platform, has acquired Wonderment, customer experience and order-tracking software for ​​Shopify merchants. Wonderment’s tracking product includes real-time shipment insights, page tracking, proactive alerts, one-click integrations, and more, all from a single interface. Loop says the acquisition brings its merchants AI-powered insights that transform shipping and returns data into actionable intelligence.

Bloomreach Discovery launches self-service features to accelerate integrations. Bloomreach has released features to accelerate integrations with Discovery, its AI search and merchandising platform. Self-service Catalog Creation allows partners to create and manage product catalogs. Catalog Management helps users manage catalogs programmatically using APIs. API Key Management simplifies the management of Discovery modules. Feed and Indexing enables users to upload and index product data. Finally, Web Typescript SDK streamlines the integration of Bloomreach search features for front-end developers.

GroupBy partners with adCaptcha to strengthen ecommerce security. GroupBy, an ecommerce search and product discovery provider, has partnered with adCaptcha, a verification platform, to combine security measures with personalized product discovery. GroupBy and adCaptcha’s partnership empowers merchants to identify and block malicious bot traffic. According to the companies, by reducing bot traffic with adCaptcha and by leveraging GroupBy’s AI-powered ecommerce search and product discovery platform, retailers can focus on serving real customers with intent-driven search results.

Cart.com acquires OceanX and deepens capabilities for health and beauty brands. Cart.com, a unified commerce solutions provider, has acquired OceanX, the fulfillment operations arm of Guthy-Renker., the multi-brand, omnichannel retailer. According to Cart.com, the acquisition strengthens its position in enterprise logistics and expands capabilities to support high-volume beauty, wellness, and lifestyle brands. Cart.com will add two new facilities totaling over 600,000 square feet to its network, including a distribution hub in Southern California and its third facility near Columbus, Ohio.

Home page of Cart.com

Cart.com

Temu’s U.S. Seller Program Is a DTC Opportunity

Direct-to-consumer brands eager to find customers have an opportunity with Temu, China’s rapidly growing discount marketplace.

In February 2024, Temu launched a U.S. Seller Program, effectively opening the platform to American businesses. The program gives U.S. brands access to an estimated 185 million domestic and international shoppers each month — and growing.

In 2023, Temu became Apple’s most downloaded free application and dominated the iOS and Android app stores in 2024.

Screenshot of the Temu home page.

The Temu U.S. home page focuses on discount items.

U.S. Seller Program

Temu, like its sister site, Pinduoduo, operates primarily on a consignment model.

Chinese and East Asian manufacturers fill Temu’s warehouse with goods and create product listings for the marketplace. When sold, the item is shipped directly from the Temu facility in a familiar, bright orange bag using clever air freight strategies to keep costs low.

The company recently changed tactics, allowing American merchants to list products and optionally employ Temu’s warehouse and fulfillment system.

The program is free for small sellers, but a business requires a subscription ranging from 2% to 5% of the selling price. At the time of writing, the marketplace also charged a payment processing fee of 2.9% + $0.30 per transaction, and sellers paid all shipping costs. Collectively, the fees make Temu similar to other marketplaces.

DTC Opportunity

Temu’s low prices may not fit traditional retailers, but DTC brands could have an opportunity.

A DTC product is unique. Similar products may exist in Temu, but none are identical. Plus, American-made products might have a competitive advantage owing to perceived value and quality.

All told, I see five potential benefits for DTC brands selling on Temu.

Brand building

DTC brands on Temu can introduce shoppers to the company and build relationships.

The introduction happens when a Temu buyer finds the brand’s products. The relationship starts with order fulfillment. DTC sellers could include in the packaging a physical product catalog, a coupon for a free item, or a note describing the brand’s story.

Items requiring a warranty registration offer the opportunity to collect the buyer’s email address and phone.

Revenue

Any established sales channel is a revenue opportunity. Temu has a massive user base, and those shoppers, discount-oriented as they may be, are the opportunity.

Temu’s media agency told me the company does not share estimated or average seller revenue. DTC shops should test, optimize, and iterate on the platform.

Marketing

DTC brands listing products on Temu can participate in platform-wide promotions and flash sales, driving traffic to listings and thus more interactions

Chinese expansion

DTC brands can flip the script and offer products to Chinese buyers via inventory stored in Hong Kong or other Temu locations.

Product development

The absence of a Temu listing fee facilitates the testing of new items. DTC brands can create short runs of prototype products, offer them on Temu, and learn what appeals to shoppers.

Marketplaces Generally

Selling on Temu should be part of a general marketplace strategy for DTC brands.

A brand selling on one marketplace can consider others. Hence listing on Amazon, Temu, Walmart, Esty, and eBay could all be part of an overall marketplace approach, such as:

  • Set marketplace-specific objectives. Define revenue targets, customer acquisition rates, or brand awareness metrics for each marketplace.
  • Establish marketplace audiences. Use analytics to learn customer demographics and purchasing behavior on a per-marketplace basis. A Temu shopper will likely differ from one on Amazon or Walmart.
  • Align products with the marketplace. A brand might have several versions of similar items. Perhaps the top quality goods are on Amazon and entry-level items on Temu. Returns and seconds could sell on eBay.
  • Optimize product listings. Common optimization tactics across all marketplaces include quality images, keyword-rich descriptions, and competitive prices. But keep in mind platform-specific practices, conventions, and rules.
Google Launches (Final?) Spam Update Of The Year via @sejournal, @MattGSouthern

Google announced the rollout of the December 2024 spam update.

The update, expected to be completed within a week, arrives amid ongoing industry discussions about the effectiveness of Google’s spam-fighting measures.

This December update caps off a year of spam-fighting measures, including the June Spam Update and the March Core Update, which targeted policy-violating websites and aimed to reduce “unhelpful” content by 40%.

It’s also worth mentioning that this update closely follows the December core update.

Looking Back At A Year Of Updates

This year saw an unprecedented frequency of major algorithm updates, with core updates in March, August, November, and December.

The August update, which took nearly three weeks to complete, targeted low-value SEO content while promoting high-quality material.

The December core update, launched on December 12, came unusually close to the November update, with Google explaining that different systems are often improved in parallel.

Policy Transformation

This year marked a shift in Google’s approach to spam detection and prevention with three major policy updates.

1.Site Reputation Abuse

Introduced in May 2024, Google began targeting “parasite SEO” practices where third-party content exploits established domains’ authority.

This update mainly affected:

  • Major publishers hosting third-party product reviews
  • News sites with extensive coupon sections
  • Sports websites with AI-generated content

The policy change led to notable casualties, including several high-profile publishers receiving manual actions for hosting third-party content without sufficient oversight.

2. Expired Domain Abuse

Google’s enhanced focus on expired domain manipulation addressed:

  • Purchase of expired domains for backlink exploitation
  • Repurposing authoritative domains for unrelated content
  • Domain squatting for search ranking manipulation

3. Scaled Content Abuse

Previously known as “spammy auto-generated content,” this rebranded policy expanded to include:

  • AI-generated content at scale
  • Mass-produced content across multiple sites
  • Content translation manipulation
  • Automated content transformation techniques

See more: An In-Depth Look At Google Spam Policies Updates And What Changed

Spam-Specific Updates

June 2024 Spam Update

  • Week-long implementation period
  • Focused on policy-violating websites
  • Enhanced detection of automated content

November 2024 SRA Enforcement

  • Implementation of site reputation abuse penalties
  • Affected major publishers’ sponsored content strategies
  • Required significant content policy adjustments across news sites

Looking Ahead

With the December core update having completed its rollout and the new spam update now underway, prepare for another round of potential ranking fluctuations through the end of the year.

The spam update is expected to be completed next week, with progress tracked through Google’s Search Status Dashboard.


Featured Image: JHVEPhoto/Shutterstock

AI Crawlers Account For 28% Of Googlebot’s Traffic, Study Finds via @sejournal, @MattGSouthern

A report released by Vercel highlights the growing impact of AI bots in web crawling.

OpenAI’s GPTBot and Anthropic’s Claude generate nearly 1 billion requests monthly across Vercel’s network.

The data indicates that GPTBot made 569 million requests in the past month, while Claude accounted for 370 million.

Additionally, PerplexityBot contributed 24.4 million fetches, and AppleBot added 314 million requests.

Together, these AI crawlers represent approximately 28% of Googlebot’s total volume, which stands at 4.5 billion fetches.

Here’s what this could mean for SEO.

Key Findings On AI Crawlers

The analysis looked at traffic patterns on Vercel’s network and various web architectures. It found some key features of AI crawlers:

  • Major AI crawlers do not render JavaScript, though they do pull JavaScript files.
  • AI crawlers are often inefficient, with ChatGPT and Claude spending over 34% of their requests on 404 pages.
  • The type of content these crawlers focus on varies. ChatGPT prioritizes HTML (57.7%), while Claude focuses more on images (35.17%).

Geographic Distribution

Unlike traditional search engines that operate from multiple regions, AI crawlers currently maintain a concentrated U.S. presence:

  • ChatGPT operates from Des Moines (Iowa) and Phoenix (Arizona)
  • Claude operates from Columbus (Ohio)

Web Almanac Correlation

These findings align with data shared in the Web Almanac’s SEO chapter, which also notes the growing presence of AI crawlers.

According to the report, websites now use robots.txt files to set rules for AI bots, telling them what they can or cannot crawl.

GPTBot is the most mentioned bot, appearing on 2.7% of mobile sites studied. The Common Crawl bot, often used to collect training data for language models, is also frequently noted.

Both reports stress that website owners need to adjust to how AI crawlers behave.

3 Ways To Optimize For AI Crawlers

Based on recent data from Vercel and the Web Almanac, here are three ways to optimize for AI crawlers.

1. Server-Side Rendering

AI crawlers don’t execute JavaScript. This means any content that relies on client-side rendering might be invisible.

Recommended actions:

  • Implement server-side rendering for critical content
  • Ensure main content, meta information, and navigation structures are present in the initial HTML
  • Use static site generation or incremental static regeneration where possible

2. Content Structure & Delivery

Vercel’s data shows distinct content type preferences among AI crawlers:

ChatGPT:

  • Prioritizes HTML content (57.70%)
  • Spends 11.50% of fetches on JavaScript files

Claude:

  • Focuses heavily on images (35.17%)
  • Dedicates 23.84% of fetches to JavaScript files

Optimization recommendations:

  • Structure HTML content clearly and semantically
  • Optimize image delivery and metadata
  • Include descriptive alt text for images
  • Implement proper header hierarchy

3. Technical Considerations

High 404 rates from AI crawlers mean you need to keep these technical considerations top of mind:

  • Maintain updated sitemaps
  • Implement proper redirect chains
  • Use consistent URL patterns
  • Regular audit of 404 errors

Looking Ahead

For search marketers, the message is clear: AI chatbots are a new force in web crawling, and sites need to adapt their SEO accordingly.

Although AI bots may rely on cached or dated information now, their capacity to parse fresh content from across the web will grow.

You can help ensure your content is crawled and indexed with server-side rendering, clean URL structures, and updated sitemaps.


Featured Image: tete_escape/Shutterstock

Ask An SEO: How To Move From Page 2 To Top Positions via @sejournal, @rollerblader

Today’s Ask an SEO question comes from Roy in Dinajpur:

“My website URL [is] still [in] position No. 15. How can increase to No. 3 or 4?”

Great question, and likely one of the top five that get asked. The answer is situational, and it is easier to resolve when you don’t overthink it.

The first thing to do is to look at the current pages in the top 10 positions and create a list by page of:

  • What they have in common.
  • Talking points and topics they cover.
  • How many internal links that point to these pages.
  • The number of quality and spammy backlinks each page has.
  • On-page factors like HTML structure, schema, and the quality of the content.
  • Content formatting and if they’re presenting the content in the most easy-to-understand and use formats.

I like to do this in spreadsheets because it lets me either assign values from one to 10 and add them up, or see what is missing and what is included across the sites more easily.

If you assign a number for each page with the aspect I’m looking for, I can add the columns and rows up to see how common it is based on the higher number.

If you only use a one (1), meaning it exists on the page, the higher the number, the more pages have it. If rating the quality of content, UX, formatting, sourcing, etc., I assign one to 10.

Once added up across or down, I can see which pages are the best and look at why. From there, I can begin working on my variation and create an even better experience.

Pro-tip: Better experiences may sometimes mean less content, removing specific sections as they may not be topically relevant, or adding in things I didn’t think of but make sense.

But don’t rely on this alone. Go deeper into the features on the pages and within the websites ranking above you, and then look at your own page.

Start To Review Your Own Content Or Page

Now, ask yourself:

  • Do I have the same content or not?
  • Is my content or page sharing something unique or more useful than these?
  • They all have X content, but is it topically relevant to the query I want my page to show up for?
    • If not, delete it so my page is more on-topic.
    • If yes, add it.
  • What could be better explained, or could clearer examples be used that are missing from theirs?
  • Can I easily absorb the text, or would bullets, tables, videos, sound clips, images, and infographics make it better?

These are ways you can begin to create more helpful content on your page. Then, look at some of the other factors that can help. Internal links can be a good place to start.

Where on my website do I reference this topic, product, or service, and will linking to my page help the website visitor?

If these same pages have traffic and backlinks and get social shares, add the internal link. Just make sure it benefits the end user and is not just there for SEO.

Now, look to see if you have conflicting internal links (links to the different pages off of the same keywords and the same intent).

In some cases, backlinks could be a factor, especially with “Your Money of Your Life” (YMYL) and medical queries. What does your page have that the others do not, and how is it more trustworthy than theirs?

You can use this to ask the websites linking to them to include you or replace their links with your resource instead.

Another option is to begin building quality links to your resource, but avoid spammy tactics like mass emailing, guest posting, scholarships, grants, forum and blog comments, PBNs, and link exchanges.

Technical audit and on-page SEO can help you as well. Schema does not help with rankings, but it does help with rich results and lets search engines know what your page is about. Make sure yours is not deprecated and is up to date.

Check your header tags, titles, descriptions, and wording. When doing that, also ensure that your content is around the same reading level and language style as the audience you want to reach.

Look At The Overall Site

Another thing is to consider the site overall.

Having one or two quality pages is good, but what about other topics that work for the same audience and would be interesting for them to read once they finish the page they’re on? This applies to ecommerce, publishers, and everything in between.

Are you using AI and LLMs to create content? You should probably delete that content immediately if you didn’t go in and edit it to have information only a human with experience would know.

If you’re using LLMs to create content, you’re recycling the knowledge already out there versus adding something new. It is the same as scraping four or five sites and using an article spinner to produce the output.

Is there thin content that is also in the category or being recommended? Delete that, too. Same with recommended articles from third parties and ad networks.

Having a couple of good-quality pages is great, but if the person clicks on the next article and it is thin, outdated, or inaccurate, you’re providing a bad experience, and some algorithms may use sitewide classifiers.

Those thin and spammy pages that do not educate and provide solutions impact the high-quality pages.

If all else is equal between you and another site, these low-quality pages could be the deciding factor if your high-quality page makes it to page one and who stays on page two if all else is equal.

The same goes for page and site speed. Yes, they matter, but not that much unless you’re a publisher.

Do Everything Right And You Should Get There

Sometimes, you can do everything right and have the best experience, but Google, Bing, Yahoo, Baidu, or Naver doesn’t bring you up to page one or top positions. Then you magically jump there, as do other pages during a core update.

There’s no one-size-fits-all solution for moving to the top five positions from page two, but by doing everything right, you should eventually make it there.

Fix the issues above and then keep working on it. Eventually, it pays off, and you’ll likely see your site and pages start hitting page one and going to top positions when you’ve fixed enough.

If you’re on page two, that means your page and your site have some quality that is trustworthy.

Now, it’s a matter of fine-tuning that experience so that it can become a page one result. The above tip should help you diagnose what could be better; once done, it’s a waiting game if your experience is already there. I hope this helps.

More resources:


Featured Image: Paulo Bobita/Search Engine Journal

8 Metrics To Measure The Effectiveness Of Your Internal Linking Strategy via @sejournal, @xandervalencia

You might’ve thought we’ve covered everything there is to know about internal linking.

But few dare to dig into the tricky details of tracking the success of an internal linking hierarchy. That’s because it’s messy, it’s difficult, and it’s not always straightforward – but it’s worth it.

In this guide, we’re covering the metrics that matter most when it comes to internal linking, how to track them, and what they mean in terms of the collective benefit to your website’s SEO strategy.

Is Internal Linking “Measurable”?

Yes, it is measurable, but it’s not always simple.

With something as indeterminate as “internal linking,” it’s easy to assume that the results are more subjective than objective.

For instance, it is difficult to tag individual internal links to assess how a user navigates your site — let alone determine if that results in a goal completion or conversion.

So, measuring the success of your internal linking strategy requires some creative thinking.

While the metrics may not be direct, in context, they can paint a picture of whether the internal links are benefiting your website’s SEO. You just need to know where to look!

Why Measure Your Internal Linking Results?

Internal linking is one of those SEO activities most often treated as a “best practice,” less often venturing into the realm of technical assessment and in-depth strategy.

Sure, there’s an understanding that one should link to the most important pages of their website, but how far do we go beyond that?

Glad you asked because there are a few ways to nerd out about internal linking. If you’re an SEO savant, I’m sure you will appreciate this.

  • User Navigation and Intent: Auditing your internal linking strategy via Google Analytics will reveal surprising insights about how users navigate your site. It will allow you to infer what users intend to find when perusing your site content (i.e., where are they going next?).
  • Page Authority: You’ll likely notice that some pages get more traffic than others. This may be a result of higher search volume keywords, volume and quality of backlinks, page authority, and a range of other factors. Internal links allow you to direct some of this authority to lower-performing pages.
  • Information Architecture: Internal linking is an essential part of facilitating an intuitive and easy user experience. By directing users to relevant pages and posts, you remove friction from their navigational process, lifting barriers to purchase.
  • Content Gaps: Through auditing, you will likely find gaps in your content. Have you thoroughly exhausted the topic “pillar” on your website, or are there more items to cover? Where would a user likely want to venture next? How can you take them there?

In essence, there are several benefits to auditing, analyzing, and updating your internal linking strategy.

If you’re ready to go beyond “best practices” and dig into the data, you’ve come to the right place.

Internal Linking: How To Measure Success

As we all know, in SEO, some things are subjective, and others are objective. An internal linking strategy involves a bit of both.

The metrics used to assess internal linking success are mostly objective, while observations and applications can be wholly subjective.

Feel free to interpret the data as you see fit for your own SEO strategy purposes, and know that you’re not limited to these metrics when it comes to analyzing your internal links.

1. Crawl Depth

One of my favorite metrics for analyzing internal links is crawl depth. This metric, reported by Google Search Console’s Crawl Stats report, measures how many pages search engine bots can access and index within a single crawl.

Before implementing internal link updates, I take a baseline of the site’s current crawl depth.

As internal links are added/updated, I most often see an increase in the number of pages found and indexed (assuming there was a discrepancy at the beginning).

An optimized internal linking structure can help search engines crawl deeper into the site, ensuring more pages are indexed and capable of being ranked by Google.

2. Bounce Rate

There are pros and cons to using bounce rate to measure SEO success. The metric alone can miss a lot of context.

For example, in cases of law firm SEO, a higher bounce rate might not be concerning if the end goal is a phone call rather than a user continuously navigating the site. There are many nuances to measuring and assessing the importance of bounce rate.

But when it comes to internal linking, assessing bounce rate can be informative.

Bounce rate (reported by Google Analytics) measures the percentage of website visitors who land on a website and then leave without taking any action. “Action” here could mean clicking on another page, completing a form, making a purchase, etc.

Internal links can increase the likelihood that a user will venture to another page on your website.

Again, compare the results before and after implementing your internal link improvements. A lower bounce rate may indicate that users are finding more relevant content, and are staying on your site for longer.

3. Behavior Flow

Universal Analytics’ “Behavior Flow” report was depreciated with the upgrade to GA4, but there are other ways to view a user’s navigational path through your website.

With the new “path exploration report,” you can analyze a user’s journey through your site, including the pages they land on and the actions they take.

Though not exactly a “metric,” this report does reveal data about which pages users are visiting and where they navigate to next. It also reveals where they drop off.

This is critical information when it comes to internal linking, as you can add links to pages to reduce drop-off, add visual aids to direct users to important pages, and change the placement of your links to improve click-throughs.

4. Pages Per Session

Another Google Analytics metric, Pages Per Session measures the average number of pages a visitor views during a session.

For example, if a visitor only visits two pages and then leaves, that’s not ideal. But if they visit more than two pages, indicating an intent to find information and, potentially, make a purchase, things are looking up!

This can be a helpful metric because it (in part) indicates whether your internal links are well-placed and are making it easy for visitors to navigate to additional pages.

Effective internal linking encourages users to explore more content, increasing page views per session, and signaling good user engagement.

Note that, like bounce rate, there are many nuances to assessing the importance of pages per session as an indicator of SEO performance.

For example, a business would likely prefer that a user calls them right away rather than venturing to several pages of their website. Immediate action is ideal!

5. Time On Page

While pages per session measures the number of pages a user visits within a session, time on page measures the amount of time a user spends on a single webpage before navigating to another page.

In the context of internal linking, higher time on page may indicate that your links are effective in guiding users to content that holds their attention.

Also, while not a direct ranking factor, time on page can contribute to search engines’ understanding of your site’s quality.

Pages that keep users engaged signal a positive user experience, which search engines may consider when determining your rankings.

In that way,  higher time on page as a result of internal linking improvements may indicate the success of your strategy.

6. Page Authority

Page Authority is a score developed by Moz to assess how well a particular page will rank in the SERPs based on a variety of factors. Scores range from 1 to 100, with a higher score indicating a higher expected ranking.

I like to look at Page Authority when it comes to internal linking because internal links can “send” authority to the pages they link to.

Basically, when you link from high-authority pages to other pages on your site, it helps distribute “link equity” across your site. This practice can raise the authority of less visible or lower-ranking pages.

You may notice that the Page Authority of a destination page increases after you link to it from a high-authority page. Measuring this, across multiple pages, can be a strong indicator of internal linking effectiveness.

7. Conversion Rate

You can use Google Tag Manager (GTM) to track conversions from users who click on internal links.

Internal links can guide users down the sales funnel as they navigate from one page to another and, ultimately, make a purchase, submit a form, etc.

Tracking whether linked pages lead to conversions (e.g., purchases or sign-ups) is crucial for assessing the effectiveness of your internal linking strategy.

Here’s how to track internal link conversions with GTM:

  1. Log into Google Analytics.
  2. Create a conversion event representing the action you want to track (e.g., form submissions, purchases, sign-ups).
  3. Take note of the event name and/or parameters (you’ll use them later).
  4. Log into Google Tag Manager and click “Triggers” in the sidebar. Select “New” to create a new trigger.
  5. Name the trigger (e.g., “Internal Link Click”).
  6. Choose “Click – Just Links” as the trigger type.
  7. In the Trigger Configuration section, set the following:
    • This trigger fires on: “Some Link Clicks”
  8. In the next section, create a condition to target only internal links. Set the condition to:
    • Click URL → Matches RegEx → ^https?://(www.)?yoursite.com
  9. Replace yoursite.com with your actual domain.
  10. Save the trigger.
  11. Next, go to the Tags section in GTM and click “New.” Name the tag (e.g., “Internal Link Click Event”).
  12. Choose Tag Type as “Google Analytics: GA4 Event.”
  13. Under Tag Configuration, fill in the following:
    • Configuration Tag: Select your GA4 configuration tag.
    • Event Name: Name the event (e.g., “internal_link_click”).
    • Event Parameters: Add additional parameters for deeper insights. Example: Parameter Name: “link_url”
    • Value: {{Click URL}}
  14. In the Triggering section, select the “Internal Link Click” trigger you created earlier.
  15. Save the tag.
  16. Back in GA4, click on Admin.
  17. Under the Property column, click on Events.
  18. You will see a list of events that GA4 has already tracked (including any custom events like “internal_link_click” if you’ve set up your GTM tag correctly).
  19. Find the event you want to track as a conversion (e.g., “internal_link_click”). If it is not listed, it means the event hasn’t been triggered yet, and you’ll need to wait until it fires or manually create the event (explained below).
  20. Once the event appears in the list, toggle the “Mark as conversion” switch next to the event. This will now track the event as a conversion in GA4.

8. Organic Traffic

One of the clearest signs of SEO success is increased traffic. However, it can be challenging to directly link traffic growth to changes in your internal linking strategy.

But you can compare traffic stats before and after internal link updates, all else being held equal.

Be sure to track the organic traffic to your website over time using tools like Google Analytics or Semrush.

The addition of internal links can direct more traffic flow to other pages on your site, improve the rate at which pages are indexed, and distribute page authority, which can boost your overall organic traffic.

Improve Your Internal Linking Strategy With These Tips

Internal linking is an important yet oft-overlooked strategy in SEO. It’s so simple that it’s easy to forget how impactful it can be.

With the help of the metrics above and some creative thinking, you can drive better organic results for your site and your clients.

  • Audit Often: Analyze your website performance every quarter (if not more) to assess your internal pages and determine whether any content gaps exist on your site. Audit your website for broken and/or redirected links, fixing these as needed to improve user experience and the crawlability of your website.
  • Add Links Regularly: Any time you add new content, look for opportunities to link to existing pages or articles. Aim for at least three internal links on each page.
  • Examine Your Traffic: Identify high-traffic, high-authority pages and add internal links from these to your lower-performing pages. Compare traffic before and after these changes.
  • Play With Placement: Experiment with the placement and prominence of your internal links. Use different visual components, weight, and colors to make internal links more obvious and enticing.

With this guide, you can get a clear picture of how well your internal linking strategy is performing and make adjustments to improve your SEO results.

Want more user engagement and action on your website? Internal linking is one way to do that!

More resources:


Featured Image: denayunebgt/Shutterstock

seo enhancements
A brief history of Google’s algorithm updates

SEO has changed significantly over the last decade, largely because Google has continuously updated its algorithms to improve search results. These updates aim to better understand user intent, reward high-quality content, and discourage manipulative practices. From foundational changes like Panda and Penguin to more recent updates like the November and December 2024 core updates, each has shaped how websites rank and how we approach optimization. Below is a look at some of Google’s most impactful updates and what they mean for SEO today.

Table of contents

2011 – Panda

The Panda update marked a shift in SEO by targeting low-quality content and spammy practices. It penalized sites with thin content or those created solely to manipulate rankings, such as affiliate-heavy pages. Over time, Panda became part of Google’s core algorithm, reinforcing the need for meaningful, high-quality content that provides real value to users.

2012 – Venice

Google’s algorithm update Venice was a noteworthy update, as it showed that Google understood that searchers are sometimes looking for results that are local to them. After Venice, Google’s search results included pages based on the location you set, or your IP address.

2012 – Penguin

The Google Penguin update focused on eliminating manipulative link-building practices. It penalized sites with spammy or paid backlinks, shifting the focus to earning genuine, high-quality links. By 2016, Penguin became part of the core algorithm, emphasizing the importance of ethical and relevant link-building strategies.

2012 – Pirate

The Pirate update addressed copyright infringement by penalizing sites with repeated DMCA takedown requests. It aimed to reduce the visibility of websites sharing unauthorized content, ensuring legitimate sources were prioritized in search results. This update highlighted the importance of respecting intellectual property online.

2013 – Hummingbird

The Hummingbird update improved Google’s ability to understand the meaning behind search queries. Rather than focusing on individual keywords, it considered the entire phrase to deliver more accurate results. This shift encouraged natural, conversational content and reduced the need for over-optimized keyword stuffing. It also laid the foundation for advancements in voice search and semantic search technology.

2014 – Pigeon

Another bird-related Google update followed in 2014 with Google Pigeon, which focused on local SEO. The Pigeon update affected both the results pages and Google Maps. It led to more accurate localization, giving preference to results near the user’s location. It also aimed to make local results more relevant and higher quality, taking organic ranking factors into account. 

2014 – HTTPS/SSL

Google introduced HTTPS as a ranking signal to encourage secure web connections. Sites using HTTPS gained a slight ranking advantage, promoting better data encryption and security for users. While initially a minor factor, it signaled Google’s growing focus on user safety and set the stage for security becoming a standard expectation online.

2015 – Mobile Update

Known as “Mobilegeddon,” this update prioritized mobile-friendly websites in mobile search results. As mobile usage surpassed desktop, Google aimed to ensure a better experience for users on smaller screens. While the immediate impact wasn’t drastic, it marked a clear shift toward mobile-first indexing, emphasizing the importance of mobile optimization for long-term SEO success.

2015 – RankBrain

RankBrain introduced machine learning to Google’s algorithm, helping the search engine interpret unfamiliar or complex queries. It analyzed past searches to predict the most relevant results, even for terms it hadn’t encountered before. While you can’t directly optimize for RankBrain, creating clear, helpful, and user-focused content ensures your site aligns with its goal of improving search relevance.

2016 – Possum 

In September 2016 it was time for another local update. Google’s algorithm update ​Possum update​ applied several changes to Google’s local ranking filter to further improve local search. After Possum, local results became more varied, depending more on the physical location of the searcher and the phrasing of the query. Some businesses, not doing well in organic search, found it easier to rank locally after this update. This indicated that this update made local search more independent of the organic results.

Read more: Near me searches: Is that a Possum near me? »

2018 – (Mobile) Speed Update

The Speed Update made page load time a ranking factor for mobile searches, building on its previous importance for desktop. Slow-loading sites were more likely to see a drop in rankings, especially on mobile devices. This update reinforced the need for fast, seamless user experiences, encouraging site owners to prioritize performance optimization.

2018 – Medic

The Medic Update was a broad core algorithm change that heavily impacted “Your Money or Your Life” (YMYL) websites, such as health, finance, and legal sites. It appeared to prioritize expertise, authoritativeness, and trustworthiness (E-A-T) in content, especially for topics affecting users’ well-being. While it wasn’t exclusively aimed at medical sites, it underscored the importance of credible, accurate, and user-focused information.

Keep reading: Google’s Medic update »

2019 – BERT

The BERT update (Bidirectional Encoder Representations from Transformers) enhanced Google’s ability to understand the context of words in a search query. By analyzing words in relation to the ones around them, BERT improved how Google interpreted natural language and intent. This update particularly helped with more conversational or complex queries, making search results more accurate and relevant. For content creators, it emphasized the value of clear, natural writing that directly addresses user needs.

Read on: Google BERT: A better understanding of complex queries »

2021 – Page Experience Update

The Page Experience update introduced a new ranking signal combining existing factors like mobile-friendliness and HTTPS with Core Web Vitals. These metrics measured real-world user experience, focusing on loading speed, interactivity, and visual stability. While content quality remained the top priority, this update emphasized the importance of delivering a smooth and user-friendly browsing experience.

Keep on reading: Page experience: a new Google ranking factor »

2021 – MUM (Multitask United Model)

Announced in 2021, MUM introduced a powerful AI system capable of processing information across multiple formats and languages. It can analyze text, images, and videos to deliver more comprehensive answers to complex queries. For example, MUM can combine insights from various sources to provide layered, context-rich results. This update signaled Google’s focus on deeper understanding and more diverse content delivery in search.

Read more: Google’s MUM understands what you need: 1000x more powerful than BERT »

2021 – Product Reviews Update

First run in April 2021, these updates prioritized detailed, insightful product reviews over thin or generic content. Google rewarded reviews that showed expertise, included real-world usage, and helped users make informed decisions. It’s a key update for affiliate and e-commerce sites focused on providing genuine value. The update ran multiple times over the years.

2022 – Helpful Content Update

The Helpful Content Update targeted low-quality, unoriginal content designed primarily to game search rankings. Instead, it rewarded “people-first” content—material that genuinely answers user questions and provides a satisfying experience. Sites with lots of unhelpful or shallow content saw declines, while those focused on creating valuable, user-centric content were prioritized. This update reinforced the importance of writing with the audience in mind, not just search engines.

Keep reading: Google to launch Helpful Content Update to diversify search results »

2023 / 2024 – A mix of updates

Between 2023 and 2024, Google rolled out a mix of core and spam algorithm updates to enhance search quality and combat manipulative practices. Core updates focused on refining how content is evaluated, rewarding pages that provide high-quality, relevant, and trustworthy information. At the same time, spam updates targeted tactics like keyword stuffing, spammy backlinks, and low-quality AI-generated content. These changes reinforced Google’s priorities: surfacing helpful, user-focused content while penalizing manipulative SEO strategies.

2024 – Site Reputation Abuse

Google is cracking down on site reputation abuse, including parasite SEO. This tactic involves using trusted domains to host unrelated third-party content, like payday loans or casino reviews, to manipulate rankings. Sites caught violating this policy risk manual penalties, which require removing or noindexing the problematic content to recover. Legitimate uses of third-party content, such as syndicated news or user-generated material, are still allowed when properly managed.

Google algorithm updates: What’s next?

Google continues to refine its search algorithms with a growing focus on AI-driven search experiences. Recent advancements, such as Google AI Overviews, show a shift toward providing users with more intuitive and context-rich results. These tools combine AI to summarize complex topics, pull insights from multiple sources, and answer broader questions in a concise way.

Looking ahead, we can expect updates to further enhance understanding of search intent, prioritize high-quality content, and improve how information is presented. At the same time, technical factors like site speed, mobile usability, and security will remain essential. For website owners, the key is to stay adaptable by focusing on creating helpful, accurate, and user-centered content while keeping an eye on emerging AI trends in search.

Read on: Should I follow every change Google makes? »

Coming up next!

Cut The Malarkey. Speaking Frankly About AI Search & SEO via @sejournal, @martinibuster

Search marketing is undergoing dramatic changes, with many debating whether SEO is on its way out as AI Search rises in popularity. What follows is a candid assessment of what is going on with SEO and search engines today.

An SEO School Shuts Down

An SEO school by a group called Authority Hackers recently announced their closure, emphasizing that it’s not because SEO is dead but due to the collapse of the content site model. They cited three reasons for this situation. The following is not about the SEO school, that’s just a symptom of something important going on today.

1. Google Updates is one of the reasons cited for the decline of the content site model. Here’s the candid part: If the Google updates killed your publishing site, that’s kind of the red flag that there’s something about the SEO that needs examination.

Here’s the frank part: Google’s updates have generally crushed websites that begin with keyword research, are followed by stealing content ideas from competitors and scraping Google’s SERPs for more keyword phrases. That’s not audience research, that’s search engine research. Search engine research results in Made For Search Engine websites. This doesn’t describe all websites that lost rankings but it’s a common method of SEO that in my opinion seriously needs to be reassessed.

2. The other reason cited by the SEO school is the “AI content tsunami.” I’m not sure what that means because it can mean a lot of things. Is that AI content spam? Or is that a reference to AI content sites overwhelming the publisher who cranks out two articles a week?

Do I need to say out loud what content output implies about site authority?

3. The third reason for the decline of the content model is the dramatic changes to Search Engine Results Pages (SERPs). Now this, this is a valid reason, but not for the reasons most SEOs think.

The organic SERPs have, for the past 25 years, been dominated by the top three ranked positions, with about 20-30% of the traffic siphoned off to Google Ads for search topics that convert. That’s the status quo: Three sites are winning and everyone else is losing.

AI Overviews has not changed a thing. AIO doubled down on the status quo. According to BrightEdge research, the top ranked websites in AIO are largely the same as the organic top ranked websites. What that means is that three sites are still winning and everyone else is still losing.

The biggest change to the SERPs that most SEOs are missing is what I already mentioned, that made for search engine websites have been getting wiped out by Google updates.

The helpful content update (HCU) is the scapegoat but that’s just ONE algorithm out of hundreds. There is literally no way for anyone to claim with 100% certainty that the HCU is the reason why any given site lost rankings. Google is a black box algorithm. A lot of people are saying but none of them can explain how they are able to pick out the effects of one algorithm out of hundreds.

The thing about being in SEO for 25 years is that people like me are accustomed to dramatic changes. Yes, the SERPs have changed dramatically. That’s how search engines have always done things.

If you’ve only been doing SEO for ten years, I can understand how the recent changes seem dramatic. But when you’ve been in it for as long as I have, dramatic changes are expected. That’s the status quo. Dramatic SERP changes is how it’s always been.

SEO Is Now AEO?

Someone started a discussion with two sentences that said AEO is the new SEO and that ChatGPT was quickly becoming the leading search engine, inspiring well over a hundred responses. The discussion is in a private Facebook group called AI/ChatGPT Prompts for Entrepreneurs.

AEO is a relatively new acronym meaning Answer Engine Optimization. It describes AI Search Optimization. AISEO is more a more precise acronym but it sounds too close to E-I-E-I-O.

Is AEO really a thing? Consider this: All AI search engines use a search index and traditional search ranking algorithms. For goodness sakes, Perplexity AI uses a version of Google’s PageRank, one of the most traditional ranking algorithms of all time.

People in that discussion generally agreed that AEO is not a thing, that AI Search Engines were not yet a major challenge to Google and that SEO is still a thing.

All is not upside down with the world because at least in that discussion the overwhelming sentiment is that AEO is not a thing. Many observed that ChatGPT uses Bing’s index, so if you’re doing “AEO” for ChatGPT you’re actually just doing SEO for Bing. Others expressed that the average person has no experience with ChatGPT and until it’s integrated into a major browser it’s going to remain a niche search engine.

There was one person insisting that Perplexity AI was designed as an AI Search Engine, completely misunderstanding that Perplexity AI uses a search index and identifies authoritative websites with an updated version of Google’s old PageRank algorithm.

AI has been a strong search engine factor in Google since at least 10 years. Longer if you consider that Google Brain began as a project in 2011.

  • AI in search is not new.
  • Search results summaries aren’t new either (Featured Snippets).
  • Google’s Information Gain patent for AI Chatbots filed in 2018.

AI in search feels new but it’s not new. The biggest difference isn’t in the back end, it’s in the front and it’s changing how users interact with data. This is the big change that all SEOs should be paying close attention to.

Featured Image by Shutterstock/pathdoc