New: Futureproof your website for the agentic web with Yoast SEO Schema Aggregation 

In November 2025, Yoast announced a collaboration with NLWeb, an open web protocol developed by Microsoft designed to simplify building conversational interfaces for the web.

Today, we are proud to introduce the first major result of that work: Yoast SEO Schema Aggregation. This is an opt in feature that brings your website’s structured data together in a clearer and more consistent way. By choosing to enable it, you can help search engines and intelligent agents better understand and use your content.

If you want to see which schema types are available for your WordPress setup, our schema overview explains what is included across different product plans.

Bridging the gap: from discovery to conversation

Yoast has a history of helping WordPress websites be represented fairly and responsibly in the open web.

2019: Yoast introduced the first of its kind schema graph and API, helping search engines better understand your content as they moved beyond keywords and evolved into discovery engines.

Today: we are taking the next step. As the agentic web becomes more important, we are helping your WordPress site move from being discovered to being understood and engaged with through conversation.

Starting today, the new Schema Aggregation feature in Yoast SEO is here. It establishes a standardized connection between your website’s structured data and the systems that power AI-driven discovery and interaction. These include large language models, agents, and conversational assistants such as Copilot. It helps ensure your published content can be understood correctly by AI. This matters as AI becomes part of how people find and use information online.

The NLWeb + Yoast integration is built in collaboration with the NLWeb team, including R.V. Guha, co-founder of Schema.org. Together, we are extending the open web standards you already rely on, so your WordPress website can participate confidently in the emerging agentic web in a responsible and future ready way.

Benefits of the Schema Aggregation feature

Questions about AI often come down to one thing: who can access your data. This feature is built with a privacy first approach from the start.

  • Complete: All indexable content included
  • Clean: No duplicate entities, no navigation clutter
  • Connected: Relationships between entities preserved (author → articles)
  • Compliant: Respects exisiting privacy settings
  • Fast: Sub-100ms cached responses, pagination for large sites

For developers and technical users who want more control, we have developer documentation on schema markup. It explains how to inspect and extend your schema graph. This gives you maximum personalization, while retaining standardization at scale.

“You can’t stop the AI wave, but you can direct it. Our integration with NLWeb puts you back in charge. It allows you to manage server load efficiently and ensures that when AIs do access your content, they get the rich, semantic understanding necessary to represent you correctly.” Alain Schlesser – Principal Architect, Yoast.

What’s new

The next time you log in and open Yoast SEO (updated to 27.1), you’ll see a short guided walkthrough. It introduces the new Schema Aggregation feature. It also shows how to enable it using a simple toggle.

We have added a new endpoint to Yoast SEO (free), making the Schema Aggregation feature available to all customers who choose to enable it. The endpoint exposes your site’s full structured data graph in a proposed new standard called a schemamap.

That means, instead of an AI system crawling hundreds of pages individually (or however many pages you have on your website), it can now retrieve your site’s schema, including articles, authors, products, and organizational data, in one optimized request.

Before and after: from pages to a connected site

Below is an example of the structured data Yoast already outputs on an individual page. This page level schema helps search engines understand what that specific page is about, including its content type, author, and relationships.

An example of Yoast schema markup at the individual page level, the example shown is yoast.com

With Schema Aggregation enabled, Yoast provides a site-level view. Instead of looking at pages in isolation, your entire website’s structured data is connected. It consolidates into a single output called a schemamap. This can appear quite overwhelming to look at. It makes it easier for AI systems to understand your content. They can see how your articles, authors, products, and organisation relate to each other across the site.

Nothing about your existing schema changes. The same data is reused, simply organized in a way that reflects how your website works as a whole. Here is an example of a schemamap from everydayimtravelling.com, displayed with the Yoast SEO Schema Visualizer.

How it works: Standardized, connected, and deduplicated

The Schema Aggregation feature doesn’t just share data; it organizes it for AI consumption:

  • Eliminates data mess: It merges duplicate mentions of authors, products, or articles into one scalable, connected record.
  • Integrates automatically: If you use one of our Schema API partners like The Events Calendar or WP Recipe Maker, those schema types are included in the graph automatically.

Developers can also explore our Schema Integrations page to see how Schema API partners connect to and extend the Yoast SEO Schema Framework (the graph).

Collaborative innovation

When working at scale across tens of millions of websites, careful testing is essential to ensure a safe and reliable launch. This feature was developed with agencies and advanced users in mind, and tested in controlled environments.

We collaborated closely with Syde, our Innovation Partner, to test the new feature across a diverse range of real-world client scenarios. The approach for this release was tested in controlled environments to confirm scalability and consistent output quality before deployment.

Syde’s feedback has been instrumental in refining the schema aggregation logic. We look forward to continuing this partnership, working together to help clients remain visible and accurately represented as AI driven systems evolve.

Be visible, understood, and represented

The rules of discovery are shifting, but your site doesn’t have to be left behind. With NLWeb and Yoast, your website stays at the center of the conversation.

Ready to see it in action? Update to the latest version of Yoast SEO and enable the NLWeb integration in your Yoast SEO settings today. For more information about how to enable Schema Aggregation, visit this help article.

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Web Design and Development San Diego

Google expands recurring billing policy

In Google Ads automation, everything is a signal in 2026

Google is expanding its recurring billing policy to allow certified U.S. online pharmacies to promote prescription drugs with subscriptions and bundled services.

What’s happening. Certified merchants can now offer:

  • Prescription drug subscriptions — recurring billing for prescription medications.
  • Prescription drug bundles — combining drugs with services like coaching or treatment programs, as long as the drug is the primary product.
  • Prescription drug consultation services — recurring consults to determine prescription eligibility, either standalone or bundled with medications.

Requirements for eligibility. Merchants must maintain certified status, submit subscription costs in Merchant Center using the [subscription_cost] attribute, include clear terms and transparent fees on landing pages, and comply with all existing Healthcare & Medicine and recurring billing policies. Accounts previously disapproved can request a review once requirements are met.

Why we care. The update opens new revenue opportunities for online pharmacies, letting them leverage recurring models and bundled services while staying compliant with Google policies.

The bottom line. Certified U.S. online pharmacies can now run recurring prescription and bundled offers, giving them more flexibility to reach patients and scale subscription-based services.

Dig deeper. Recurring billing policy expansion: Prescription drugs

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Web Design and Development San Diego

Google uses both schema.org markup and og:image meta tag for thumbnails in Google Search and Discover

Google updated both its image SEO best practices and Google Discover help documents to clarify that Google uses both schema.org markup and the og:image meta tag as sources when determining image thumbnails in Google Search and Discover.

Image SEO best practices. Google added a new section to the image SEO best practices help document named Specify a preferred image with metadata. In that section, Google wrote:

  • “Google’s selection of an image preview is completely automated and takes into account a number of different sources to select which image on a given page is shown on Google (for example, a text result image or the preview image in Discover).”
  • Here is how you influence the thumbnails Google chooses:
    • Specify the schema.org primaryImageOfPage property with a URL or ImageObject.
    • Or specify an image URL or ImageObject property and attach it to the main entity (using the schema.org mainEntity or mainEntityOfPage properties)
    • Specify the og:image meta tag.

Here are the overall best practices when choosing these methods:

  • Choose an image that’s relevant and representative of the page.
  • Avoid using a generic image (for example, your site logo) or an image with text in the schema.org markup or og:image meta tag.
  • Avoid using an image with an extreme aspect ratio (such as images that are too narrow or overly wide).
  • Use a high resolution, if possible.

Google Discover image selection. In the Discover documentation Google added a section that reads:

  • “Include compelling, high-quality images in your content that are relevant, especially large images that are more likely to generate visits from Discover. We recommend using images that meet the following specifications: At least 1200 px wide, High resolution (at least 300K) and 16×9 aspect ratio”
  • “Google tries to automatically crop the image for use in Discover. If you choose to crop your images yourself, be sure your images are well-cropped and positioned for landscape usage, and avoid automatically applying an aspect ratio. For example, if you crop a vertical image into 16×9 aspect ratio, be sure the important details are included in the cropped version that you specify in the og:image meta tag).”
  • “Enabled by the max-image-preview:large setting, or by using AMP
  • “Use either schema.org markup or the og:image meta tag to specify a large image that’s relevant and representative of the web page, as this can influence which image is chosen as the thumbnail in Discover. Learn more about how to specify your preferred image. Avoid using generic images (for example, your site logo) in the schema.org markup or og:image meta tag. Avoid using images with text in the schema.org markup or og:image meta tag.”

Why we care. Images can have a big impact on click-through rates from both Google Search and Google Discover. Here, Google is telling us ways we can encourage Google to select a specific image for that thumbnail. So review these help documents and see if any of this can help you with the images Google selects in Search and Discover.

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15 Best B2B SEO Agencies (2026): How to Choose a Partner That Actually Drives Growth

Choosing a B2B SEO agency should be straightforward. It is not. If distinguishing genuine B2B SEO expertise from agencies that […]

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Web Design and Development San Diego

Own your branded search: Building a competitive PPC defense

Own your branded search: Building a competitive PPC defense

If you’re not actively managing your branded search campaigns, you’re leaving money on the table and your reputation in the hands of competitors, review aggregators, and affiliate marketers. 

Brand protection through PPC isn’t just about bidding on your own name. It’s a strategy that spans defensive bidding, query monitoring, ad copy testing, and reputation management across the entire customer research journey.

Why brand search deserves more than basic defense

Most PPC managers treat brand campaigns as an afterthought. Set up a campaign, bid on the exact brand name, maybe add some close variants, and call it done. 

But the reality is far more complex, especially when we’re talking about bigger, well-known brands. Your brand exists across dozens of query contexts, each representing a different stage of the customer journey and requiring a different strategic approach.

Consider what happens when someone searches for your brand. They’re not just typing your company name, they’re asking questions, seeking validation, comparing alternatives, and researching specific features. 

If you’re only covering exact-match brand terms, you’re missing the majority of brand-related searches and leaving those high-intent users exposed to competitor messaging.

Third-party sites like review aggregators and affiliate comparison websites actively bid on your brand terms to capture traffic and redirect it to their comparison pages, where your competitors pay for prominence. 

The cost? Your brand equity, customer trust, and ultimately, conversion rates.

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4 categories of branded searches you need to cover

Based on user intent and competitive vulnerability, branded searches fall into four strategic categories. Each requires different bid strategies, ad copy approaches, and landing page experiences. 

Let’s break down each category and the specific PPC tactics that can work.

Brand trust and reputation queries

  • “Is [Brand] good?”
  • “[Brand] reviews.”
  • “Is [Brand] legit?”
  • “Is [Brand] worth it?”

These searchers are in the validation phase. They’ve heard of your brand but want social proof before committing. 

The competitive threat here comes from review aggregators and affiliate sites that will happily show your reviews alongside competitor CTAs.

PPC strategy

  • Bid aggressively — these are high-intent users who are close to converting.
  • Use review extensions and star ratings in your ads.
  • Highlight trust signals in ad copy (years in business, customer count, awards).
  • Send users to dedicated testimonial or case study landing pages, not your homepage.
  • Test callout extensions with specific proof points.

Product features queries

  • “What is [Brand] known for?”
  • “Pros and cons of [Brand].”
  • “Does [Brand] offer [feature]?”

Users searching for feature-specific information are evaluating whether your solution meets their requirements. Competitors often bid on these queries with ads suggesting they offer superior features.

PPC strategy

  • Create feature-specific ad groups with tailored ad copy.
  • Use sitelink extensions to direct users to specific feature pages.
  • Address the specific feature in headline 1, don’t waste space on your brand name.
  • Include feature demos or video on the landing page.
  • Test whether these queries warrant higher bids than core brand terms.

Comparison queries

  • “Alternatives to [Brand].”
  • “How does [Brand] compare?”
  • “Is [Brand] better than [Competitor]?”
  • “Is [Brand] right for [use case]?”

This is the most competitive category. Users are actively comparing you to alternatives, and both direct competitors and third-party comparison sites are bidding heavily. This is where you’re most vulnerable to losing customers who were already considering you.

PPC strategy

  • Bid at or above top-of-page estimates to maintain Position 1.
  • Create dedicated comparison landing pages for each major competitor.
  • Include pricing transparency if it’s a competitive advantage.
  • Monitor auction insights obsessively to identify new competitive threats.
  • Consider category-level comparison ads for “best [category] tools/products” searches.

Niche questions

  • “Is [Brand] expensive?”
  • “Does [Brand] offer discounts?”
  • “Is [Brand] secure?”

These queries reveal specific concerns or evaluation criteria. They’re often low-volume but extremely high-intent because they represent genuine decision-making criteria.

PPC strategy

  • Develop FAQ landing pages that address multiple related concerns.
  • Test lower bids — these queries often have less competition.
  • Use search query reports to identify emerging concerns and address them proactively.

Dig deeper: How to benchmark PPC competitors: The definitive guide

Advanced brand campaign architecture

The traditional single-brand campaign approach doesn’t give you enough control or insight at scale. Instead, structure your brand defense across four specialized campaigns, each targeting different intent signals and requiring distinct bid strategies.

Core brand defense 

This covers exact-match brand terms and common misspellings with aggressive bidding to maintain 95%+ impression share and top positions. Never let this campaign be budget-limited. 

Use multiple RSAs to test different value propositions. Monitor lost impression share due to rank as your primary competitive threat indicator.

Brand + category 

Capture phrase-match queries like “[Brand] CRM” or “[Brand] for [use case],” where users are researching you within a specific product context. 

Bid slightly lower than core brand terms, but ensure ad copy acknowledges the category and emphasizes your category leadership. Test whether category-specific landing pages outperform your homepage for these queries.

Brand reputation and reviews

These intercept validation-phase users searching “[Brand] reviews,” “[Brand] ratings,” or “is [Brand] good” before they click through to third-party aggregators. Bid aggressively here — these comparison-shopping clicks are worth more than core brand searches. 

Use review extensions prominently, include specific social proof metrics in ad copy (4.8 stars, 10,000+ reviews), and send traffic to dedicated testimonial pages rather than your homepage. Test video testimonials on landing pages.

Competitive comparison defense

Control the narrative for queries like “[Brand] vs [Competitor],” “[Brand] alternative,” or “better than [Brand].” These are users you’re at risk of losing, so pay up to your maximum acceptable CPA. 

Create unique landing pages for each major competitor with honest comparisons that emphasize your advantages, include side-by-side feature tables, and offer special conversion incentives like extended trials or migration assistance.

Defensive tactics against third-party aggregators

Sites like G2, Capterra, and other affiliate comparison sites actively bid on your brand terms without violating trademark policy because they legitimately have content about your brand. 

But they’re siphoning off your traffic and often presenting biased or incomplete information. Your defense requires three coordinated approaches.

Bid aggressively on review keywords

Review aggregators bid heavily on “[Brand] reviews” and “[Brand] ratings” because these are their money keywords, so you need to bid even higher. 

Run the math: If a review aggregator click costs you $3 but sends that user to a page where your competitor’s ad costs $50, you’re getting a deal at $10 per click on your own review keywords. 

Calculate the lifetime value of a customer versus the cost of letting them click to a third-party site where competitors can advertise. Also, keep in mind it’s cheaper for you to bid on your own brand than for competitors to outbid you.

Claim and optimize your profiles on major review platforms you want to work with

Even if you can’t prevent them from bidding on your brand, ensure that when users click through, they see optimized content, strong ratings, and an active presence with responses to reviews. 

Many review platforms offer advertising options — test running ads on your own profile pages to capture users who arrive via organic search or competitor ads.

Build dedicated testimonial and customer story pages 

Make yours more compelling than third-party review aggregators. Include video testimonials, detailed case studies with metrics, filterable reviews by industry or use case, and verified customer badges. 

Then use your PPC ads to drive users to these owned properties instead of letting them discover review aggregators organically.

Dig deeper: When to use branded and competitor keywords in PPC

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Ad copy strategies for brand protection

Your brand campaign ad copy needs to do more than confirm your brand name. It needs to preempt objections, differentiate from competitors, and provide compelling reasons to click your ad instead of a competitor’s or third-party site. Three frameworks deliver results.

The preemptive strike 

Identify the top 3-5 objections that come up in your sales process and address them directly in your ad copy before users encounter them on competitor or review sites. 

  • If implementation time is a concern, use “Live in 5 days, not 5 months.” 
  • If pricing is opaque, try “Transparent pricing, no hidden fees.” 
  • If enterprise readiness is questioned, lead with “Trusted by 500+ enterprise customers.” 
  • If ease of use is a concern, emphasize “No training required, start today.”

The competitive differentiator

Don’t just state features, state features your competitors don’t have or can’t match. This is especially critical for comparison queries where you know competitors are showing ads. Examples include: 

  • “Only platform with native [unique integration].” 
  • “Industry’s fastest performance, verified by [third party].” 
  • “Patent-pending [technology] competitors can’t replicate.” 

If you can’t identify any unique features or USPs, that’s a signal to improve your product positioning or capabilities. Without clear differentiation, PPC alone won’t drive sustainable conversions.

Social proof stacking

Combine multiple types of social proof to build credibility quickly. Don’t just pick one element, stack them. Try 

  • “4.8 stars from 10,000+ reviews. G2 leader 5 years running.” 
  • “Join 50,000+ companies. Featured in Forbes and TechCrunch.”
  • “Winner: Best [category] 2025. 98% customer satisfaction.”

Dig deeper: How to write paid search ads that outperform your competitors

Landing page strategy for brand campaigns

Sending all brand traffic to your homepage is a missed opportunity. Different branded queries represent different user intents and concerns, and your landing pages should address those specific intents.

Feature-specific pages

When users search “[Brand] + [feature],” send them to dedicated pages that explain the feature in detail, show it in action, and provide clear next steps. 

Include a hero section explaining the feature in one sentence, a video demo or animated screenshot, technical specifications for enterprise buyers, integration details if relevant, and customer examples using this specific feature.

Comparison pages 

Create dedicated comparison landing pages for each major competitor. Be honest about differences while emphasizing your advantages. Include side-by-side feature tables, pricing comparisons if advantageous, and customer testimonials from switchers. 

Acknowledge competitor strengths without being dismissive, highlight 3-5 key differentiators where you excel, and offer migration assistance or switch incentives. Make your CTA clear and prominent, offering a trial or demo.

Trust and validation pages

For review and reputation queries, create dedicated pages that aggregate social proof rather than linking to your G2 profile or hoping users browse scattered testimonials. 

Display aggregate ratings prominently (average of G2, Capterra, etc.), place video testimonials above the fold, show recent reviews with verified badges, make reviews filterable by industry, company size, and use case, include case studies with concrete metrics, and highlight third-party awards and recognition.

Monitoring and optimization: The ongoing battle

Brand protection isn’t a set-it-and-forget-it strategy. The competitive landscape constantly evolves, new competitors emerge, third-party sites adjust their strategies, and user search behavior shifts. You need systematic monitoring and rapid response capabilities across three time horizons.

Weekly monitoring 

Review:

  • Search term reports to identify new query patterns.
  • Auction insights for increased competitor presence.
  • Impression share metrics to diagnose declining performance.
  • Lost impression share breakdowns by budget and rank.
  • Manual searches of your top 10 brand queries to see what ads are showing.
  • Quality score checks for brand keywords to diagnose landing page or ad relevance issues.

Monthly deep dives 

  • Analyze conversion paths to understand how brand search fits into the broader customer journey.
  • Review assisted conversions since brand campaigns often contribute to non-brand conversions.
  • Audit landing pages for relevance and conversion performance. 
  • Gather competitive intelligence on what landing pages competitors use for brand conquesting.
  • Test new ad copy variations focused on emerging objections or competitive threats. 
  • Analyze search impression share by device and location to identify gaps.

Quarterly strategic reviews 

  • Audit your complete branded query coverage to identify missing categories or query types. 
  • Assess whether your coverage across the four query categories remains comprehensive.
  • Conduct competitive conquest analysis to determine which competitors most aggressively target your brand.
  • Evaluate ROI of different brand campaign types to optimize budget allocation.
  • Review third-party aggregator presence for new sites bidding on your brand.

Advanced tactics for sophisticated brand protection

Dynamic keyword insertion

For validation queries like “is [Brand] good” or “does [Brand] work,” use dynamic keyword insertion to echo the user’s specific question in your ad copy, creating higher relevance and click-through rates. Try headlines like “Yes, {KeyWord:[Brand]} Is Excellent” or “Absolutely, {KeyWord:[Brand]} Works.”

Geo-modified campaigns

If you have location-specific offerings or competitors vary by geography, create geo-modified brand campaigns. Users searching “[Brand] New York” or “[Brand] enterprise” may have different needs than general brand searchers.

Audience layering

Apply audience segments to brand campaigns to adjust bids based on user quality. Users who’ve visited your pricing page before should get higher bids on brand searches than first-time visitors. Similarly, prioritize users who match your ideal customer profile demographics.

Trademark enforcement

While Google generally allows competitors to bid on your brand terms, using your trademarked brand name in their ad copy is often prohibited. 

Monitor competitor ads and file trademark complaints when they use your brand name in headlines or descriptions. This is particularly effective against smaller competitors and affiliates who may not realize they’re violating policy.

Problem/solution queries

Capture queries where users are researching whether your solution addresses a specific problem. These are often high-intent and represent clear use case alignment. 

Target queries like: 

  • “[Brand] for [problem].” 
  • “How to [solve problem] with [Brand].” 
  • “[Brand] [use case] solution.”
  • “Can [Brand] help with [challenge].”

Budget allocation and ROI considerations

How much should you invest in brand protection versus acquisition campaigns? The answer depends on three factors: 

  • Competitive pressure.
  • Brand strength.
  • Customer lifetime value.

If you operate in a highly competitive category where multiple well-funded competitors actively bid on your brand terms, invest more in brand protection. Run auction insights weekly to monthly to quantify competitive presence. 

If competitors show in 40% or more of your brand auctions, this is a high-threat environment requiring aggressive defense. Stronger brands with dominant organic presence can afford to spend less on core brand defense because their organic listings provide natural protection. This doesn’t apply to reputation and comparison queries where third-party sites rank organically.

High LTV businesses should invest more aggressively in brand protection because the cost of losing a customer to a competitor or having them influenced by negative review sites is substantial. If your average customer is worth $50,000 over their lifetime, paying $50 per click to defend against comparison queries is economically rational.

For most B2B SaaS and high-consideration products, allocate approximately 15-25% of total paid search budget to comprehensive brand protection. Within that allocation, dedicate 40% to core brand defense (exact match), 25% to competitive comparison defense, 20% to reputation and review queries, and 15% to feature and niche question queries.

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Brand protection as competitive moat

Brand protection through PPC isn’t just defensive marketing. It’s a competitive moat. When you control the narrative across branded search contexts, you ensure high-intent users see accurate information instead of competitor ads or third-party pages monetizing your brand equity.

The brands that win treat this as strategy, not maintenance. They segment branded queries by intent, build landing pages to match, monitor threats continuously, and defend high-value search real estate aggressively.

Start with an audit using the four-category framework. Close coverage gaps, align campaigns and landing pages to intent, and commit to weekly monitoring, monthly optimization, and quarterly strategic reviews.

If you don’t own your branded searches, someone else will.

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What Is B2B SEO and Why It Matters for Growth

Your rankings improved. Your traffic declined. Your SEO investment stayed the same. This isn’t a puzzle—it’s the new reality for […]

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Proven B2B SEO Strategies That Actually Work

B2B SEO strategies that work in 2026 treat search optimization as a system-level revenue driver, not a channel tactic. The […]

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How to Use AI for Content Marketing in 2026

91% of marketing teams now use AI for content marketing. Only 25% report meaningful results. That 66-percentage-point gap isn’t about […]

The post How to Use AI for Content Marketing in 2026 appeared first on Onely.

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What is GEO (Generative Engine Optimization)

Generative Engine Optimization (GEO) is the practice of optimizing content to be cited by AI search systems like ChatGPT, Claude, […]

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Recap of the February 2026 SEO Update by Yoast

The February 2026 SEO Update by Yoast is part of our monthly webinar series covering the latest developments in search and AI. In each session, we review the most important news from the past month and explore how it affects your search strategy.

Hosted by Carolyn Shelby and Alex Moss, this month’s update focused on AI-driven shifts in search, emerging agentic workflows, and Google’s latest core updates. Below is a recap of the topics discussed and what they mean for your strategy.

Watch the full recap on YouTube to hear Carolyn and Alex dive deeper into these topics, answer audience questions, and share real-world examples.

SEO and AI news from February 2026

Search engines expand AI reporting and website controls

Google and Bing introduced new tools for publishers to manage AI interactions. Bing’s AI Performance Report shows how often Copilot cites your site, including citation counts and queries. Google now allows publishers to control AI access via robots.txt using Google-Extended.

Actionable takeaway:

  • Monitor AI citation reports in Bing Webmaster Tools to track visibility
  • Review your robots.txt and AI access settings to align with your strategy

Debate over Markdown, AI agents, and machine-readable content

OpenAI launched the Codex app, enabling users to manage multiple AI agents for complex tasks. WordPress co-founder Matt Mullenweg proposed making content available in Markdown format to improve AI comprehension, while Cloudflare introduced a Markdown-based approach for AI bots. However, Google’s John Mueller dismissed Markdown files as increasing crawl load.

Actionable takeaway:

  • Simplify your site’s structure to make content more accessible to AI agents
  • If your site is overly complex, explore Markdown or structured data alternatives, but prioritize fixing underlying issues first

Is Google cracking down on self-promotional listicles?

Lily Ray identified a pattern of sites losing visibility due to self-promotional listicles (e.g., “Top 20 SEO Agencies in the US,” with the publisher ranked #1). Google appears to be penalizing manipulative tactics.

Actionable takeaway:

  • Avoid self-serving listicles. If creating comparison content, use objective criteria and transparent methodology

Microsoft’s vision for a sustainable agentic web

Microsoft outlined its approach to agentic search, emphasizing structured data, concise content, and publisher compensation for AI-driven traffic. The shift from human clicks to AI-driven retrieval was highlighted as a major trend.

Actionable takeaway:

  • Optimize for machine-readable actions (e.g., structured data, clear CTAs)
  • Prepare for AI-driven monetization models (e.g., compensation for citations)

Meta’s Avacado agent and OpenClaw integration

Meta is testing Avacado, a new AI agent integrating OpenClaw and Manus for workflow automation. This reflects a broader push toward omnichannel AI interactions.

Actionable takeaway:

  • Ensure consistent messaging across all platforms (website, social, email) to reinforce AI comprehension

ChatGPT rolls out ads

ChatGPT began serving ads to free users, with OpenAI charging advertisers based on ad impressions rather than clicks. The move mirrors traditional search ad models but raises concerns about user experience.

Actionable takeaway:

  • Monitor how AI-driven ad placements impact user engagement and brand visibility

WebMCP is a new protocol for AI agents

Chrome introduced WebMCP, a protocol that enables AI agents to interact with websites via machine-readable actions (e.g., form submissions). Early adoption is limited, but it signals a shift toward agent-first web design.

Actionable takeaway:

  • Audit your site’s underlying code for clarity (e.g., semantic HTML, structured data)
  • Proceed cautiously. WebMCP is experimental and could pose security risks if misconfigured

Bing Webmaster Tools launches AI Performance Report

Bing’s AI Performance Report now shows how often Copilot cites your site, including queries and cited pages. The tool bridges traditional SEO metrics with AI-driven search.

Actionable takeaway:

  • Set up Bing Webmaster Tools if you haven’t already
  • Compare Bing’s AI data with Google Search Console to identify gaps

Google AI Mode introduces UCP-powered checkout

Google’s AI mode now supports UCP-powered checkout, allowing agents to complete purchases on behalf of users. Early adopters include Etsy, Wayfair, and Walmart.

Actionable takeaway:

  • If you’re in e-commerce, prioritize structured product data and fast load times to capitalize on agentic commerce

OpenClaw, OpenAI, and the future of AI agents

The rise of OpenClaw and OpenAI’s advancements underscores a shift toward websites exposing capabilities (not just pages) to AI agents. Early experiments show agents interacting with sites via machine-readable actions.

Actionable takeaway:

  • Focus on clear site structure and consistent data to ensure reliable AI interpretation

What to focus on in 2026

The February SEO Update by Yoast highlighted four key priorities:

  1. Optimize for AI-driven search: Use structured data and markdown to improve AI comprehension
  2. Build brand authority across channels: Ensure consistent messaging for AI agents to reinforce
  3. Prepare for agentic commerce: Prioritize structured product data and fast load times
  4. Avoid low-quality AI content: Google is cracking down on manipulative tactics like self-promotional listicles

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