AI Is Reshaping PR Budgets

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Key Takeaways

  • PR budgets could double by 2027 as brands adapt to AI-powered search.
  • AI systems increasingly rely on authoritative third-party sources when generating answers and recommendations.
  • Digital PR can help brands build visibility and credibility beyond their own websites.
  • Consistent earned media coverage can strengthen a brand’s authority over time.
  • Brands should connect digital PR with SEO and AI visibility rather than treating them as separate strategies.

For years, public relations and SEO have operated in neighboring but often separate parts of the marketing organization. AI search is beginning to change that relationship.

As AI systems become a larger part of how people discover companies, products, and services, the sources those systems rely on are becoming increasingly important. Third-party coverage from trusted publications can provide information that helps establish a brand’s credibility and authority.
That shift is changing how organizations think about digital PR.
New industry projections suggest PR budgets could double by 2027 as brands respond to the growing importance of AI-powered search. The underlying reason is straightforward: brands need to be visible in the places AI systems use to understand and evaluate them.
For marketers, that makes earned media more than a traditional awareness channel. Consistent third-party coverage can contribute to a brand’s broader search presence while strengthening the information available about it across the web.

Why AI Search Is Increasing the Value of Digital PR

AI search changes how people encounter information. Instead of receiving a list of links and deciding which ones to visit, users can receive a synthesized answer based on information gathered from multiple sources.

That creates a new role for third-party coverage.

An article excerpt talking about AI's learning capabilitites about brands.

Source

AI Systems Rely on Trusted Sources

AI systems need information they can retrieve and use when generating answers.

A company’s own website is an important source, but it isn’t the only one. News publications, industry websites, reviews, research organizations, and other third-party sources can provide additional context about a brand. Academic databases are a great example.

The JSTOR interface.

This is where earned media becomes valuable.

A company that is consistently mentioned by credible publications creates a broader information footprint than one that relies primarily on its own website. Those mentions can help reinforce what the company does, who its experts are, and where it has authority.

That doesn’t guarantee an AI system will cite any particular article. It does create more opportunities for a brand’s information to exist within the sources AI systems may encounter.

Third-Party Coverage Can Build Brand Authority

Authority is difficult to establish through a single piece of coverage.

One major publication can create awareness, but its effect can fade. A sustained presence across relevant publications creates a different type of signal.

Repeated coverage can reinforce the same core facts about a business across multiple sources. Over time, this can contribute to stronger brand recognition and a clearer understanding of the company’s expertise.

For AI visibility, that consistency matters because AI systems are constantly processing information from across the web.

Why One Media Win Isn’t Enough

The temptation in PR has often been to measure success by the biggest placement a campaign can generate. A marquee publication can certainly be valuable, but it shouldn’t be the only objective.

Credibility Compounds Over Time

A single article can introduce a company to a new audience. An ongoing stream of relevant coverage can keep reinforcing the brand.

A bar graph covering what builds brand authority for LLMs.

Source

This is particularly important for companies competing in categories where many businesses make similar claims.

Regular coverage gives journalists, customers, search engines, and AI systems more opportunities to encounter consistent information about the brand.

That makes digital PR a long-term investment rather than a series of isolated campaigns.

Consistency Creates a Stronger Information Footprint

Imagine two companies competing for visibility in the same industry.

One receives a major feature once a year. The other is regularly covered by relevant publications for research, commentary, product developments, and industry expertise.

The second company has a much larger body of third-party information surrounding it.

That doesn’t mean quantity automatically creates authority. Coverage needs to be relevant and credible. But a consistent stream of meaningful mentions gives a brand more opportunities to establish expertise and reinforce its identity.

What This Means for SEO and AI Visibility

The growing importance of digital PR creates an opportunity for SEO teams and PR teams to work more closely together.

Digital PR and SEO Should Work Together

SEO has traditionally focused heavily on a brand’s own website. Digital PR extends that strategy into the broader web.

A strong PR campaign can generate coverage that supports brand awareness, creates referral opportunities, and contributes to the overall authority surrounding a company.

At the same time, SEO research can help identify topics, publications, and audiences that are strategically important to the brand.

Combining these approaches creates a more connected approach to organic visibility.

AI Visibility Depends on More Than Owned Content

Brands have significant control over their own websites. They have much less control over what independent publications say about them.

That makes third-party coverage particularly valuable.

When a brand is consistently described by credible external sources, those sources can provide context beyond what the company says about itself. This can be especially useful when AI systems are trying to determine which businesses, products, or experts are relevant to a user’s question.

The goal isn’t to manufacture mentions. It is to build a legitimate reputation that is reflected across the web.

How Brands Can Build an Always-On Digital PR Strategy

If digital PR is becoming more important to AI visibility, brands need a strategy that goes beyond occasional campaigns.

Create a Consistent Flow of Newsworthy Ideas

An always-on program starts with having something worth talking about.

Brands can develop stories around original research, customer trends, proprietary data, expert commentary, product developments, and broader industry changes.

A proprietary data asset from NP Digital.

Not every idea needs to become a major campaign. The goal is to consistently identify useful information that journalists and audiences would find valuable.

Build Relationships With Relevant Publications

Distribution alone isn’t enough.

Brands should identify publications and journalists who regularly cover their industry and develop relationships with them over time.

This makes it easier to provide useful expertise when relevant stories emerge rather than approaching media outlets only when the brand has something it wants promoted.

Measure the Cumulative Impact

An always-on strategy should be evaluated differently from a campaign built around one major placement.

Track the growth of relevant coverage over time alongside brand visibility, branded search, referral traffic, and other meaningful indicators.

For AI visibility, also monitor how frequently the brand appears in relevant AI answers where measurement is possible.

The objective is to understand the cumulative effect of sustained authority building.

PR Investment Is Becoming an AI Visibility Investment

The growing importance of AI search is changing the role of PR.

Brands still need traditional media coverage because journalists and publications reach real audiences. But those same sources can also contribute to the information ecosystem that AI systems use to understand brands.

That makes earned media increasingly relevant to search strategy.

The strongest competitive advantage in AI search is consistency, not a single media win. Credibility compounds through ongoing earned coverage that reinforces brand authority over time.

The implication for marketers is significant. PR budgets shouldn’t be viewed only through the lens of immediate media impressions. The long-term value of consistent coverage can extend into brand authority, organic visibility, and AI discovery.

How to Prepare for the Shift in PR Investment

Brands don’t necessarily need to abandon existing PR programs. Instead, they should consider how those programs can support broader search and visibility goals.

Connect PR Goals with Search Goals

PR and SEO teams should identify the topics, entities, and areas of expertise that matter most to the brand.

Those priorities can then inform media outreach and content development.

A company trying to establish authority in a particular category, for example, can build an ongoing PR program around the research, expertise, and commentary that supports that position.

Prioritize Quality and Relevance

More coverage isn’t automatically better.

A mention from an irrelevant or low-quality source may contribute little to a brand’s authority. The strongest opportunities are publications and sources that are relevant to the industry and trusted by the audiences the brand wants to reach.

Make Digital PR an Ongoing Investment

The biggest change may be moving away from one-off PR campaigns.

An always-on digital PR program gives brands more opportunities to build relationships, publish useful information, and earn coverage throughout the year.

That sustained activity can create a stronger foundation for organic visibility as search continues to evolve.

The Future of PR Is Connected to Search

AI is changing how brands are discovered, and PR is becoming part of that discovery process.

Third-party coverage gives AI systems additional information about brands while giving consumers independent sources they can use to evaluate a company. Over time, a consistent stream of relevant coverage can help strengthen the brand’s authority across the web.

This doesn’t mean every PR placement will result in an AI citation. It means brands should recognize that the value of earned media can extend beyond the publication’s immediate audience.

The brands that invest consistently in credible coverage will have more opportunities to establish authority as AI search becomes a larger part of how people find information.

FAQs

Why is AI changing PR budgets?

AI search is increasing the importance of authoritative third-party information. As AI systems use external sources to understand and answer questions about brands, organizations are placing greater emphasis on earned media and digital PR as part of their broader visibility strategies.

How does digital PR help with AI visibility?

Digital PR can generate credible third-party coverage that provides additional information about a brand across the web. This can contribute to the broader information ecosystem AI systems use when understanding brands, although coverage doesn’t guarantee an AI citation.

Is earned media becoming more important for SEO?

Earned media can complement SEO by building authority and visibility beyond a company’s own website. Relevant third-party coverage can strengthen brand recognition and provide additional sources of information for search and AI systems.

What is an always-on digital PR strategy?

An always-on strategy continuously identifies opportunities for relevant media coverage throughout the year instead of relying on occasional campaigns. It can include original research, expert commentary, industry insights, and other newsworthy material.

Conclusion

AI search is changing how consumers discover and evaluate brands, and that shift is increasing the strategic value of digital PR.

Third-party coverage can give AI systems additional sources of information while helping consumers validate a brand’s expertise and credibility. A single major placement can create valuable exposure, but consistent coverage can build a much stronger information footprint over time.

For marketers, this means PR and SEO should increasingly work toward the same visibility goals. Building an always-on digital PR program can create a steady stream of earned media that supports brand authority while contributing to a broader AI visibility strategy.

The brands that treat PR as an ongoing investment in credibility will be better positioned as AI search continues to reshape how people discover businesses.

If you want to build an always-on digital PR strategy that supports both traditional search and AI visibility, reach out to the NP Digital team to learn how earned media can fit into your broader organic strategy.

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What’s Making AI Impact Difficult to Measure for Marketers?

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Key Takeaways

  • Brands recommended by ChatGPT were 2.5x more likely to receive a website visit within seven days, according to Similarweb research.
  • Most AI-influenced visits did not arrive through an identifiable AI referral.
  • More than half of AI-influenced visits arrived through search, meaning the AI influence can look like ordinary organic traffic in analytics.
  • Last-click attribution can therefore underestimate the role AI plays in brand discovery and consideration.
  • Marketers need broader measurement frameworks that account for AI’s influence across the customer journey.

AI search is becoming an increasingly important way for consumers to discover brands. But measuring its impact is proving much harder than measuring a traditional referral.

A user might ask ChatGPT for a product recommendation, see a brand mentioned, and then search for that brand on Google several days later. Analytics will record the eventual visit, but it may have no way of knowing that an AI recommendation helped start the journey.

New research from Similarweb highlights the scale of this measurement gap. Brands recommended by ChatGPT were 2.5x more likely to receive a website visit within the following seven days, even when there was no direct referral from the AI platform.

The finding suggests that AI visibility can influence traffic without appearing as AI traffic in a standard analytics report.

For marketers, that’s an important distinction. If AI is influencing customers before they reach a website, measuring only the final click can make the channel look less valuable than it actually is.

What Similarweb Found About AI’s Downstream Impact

Similarweb’s research tracked real user journeys to understand what happens after a brand is recommended in ChatGPT.

A graphic showing percentages of users that visit AI-recommended brands versus competitors.

Source

AI Recommendations Can Lead to More Website Visits</h3>

Similarweb followed users who asked ChatGPT an industry-related question and received a specific brand recommendation. It then tracked their behavior over the following seven days.

Across finance, travel, and beauty, users who received an AI recommendation for a brand were 2.5x more likely to visit that brand’s website than users who received a recommendation for a competing brand.

The research focused on users who had not previously visited the recommended brand and had not already mentioned that brand in their prompt. This helped Similarweb measure the downstream effect of a recommendation rather than simply tracking people who already knew about a company.

The result provides a useful signal for marketers investing in AI visibility. Being mentioned in an AI answer can influence what consumers do afterward, even when the AI platform doesn’t send the eventual website visit.

Most of the Traffic Doesn’t Look Like AI Traffic

This is where traditional measurement becomes complicated.

Similarweb found that 55.9% of AI-influenced visits arrived through search, compared with 40.4% of visits without AI influence.

In practice, that means a user could see a brand recommendation in ChatGPT, remember the name, and later search for it on Google.

That visit would likely be attributed to organic search.

The AI interaction that helped create the interest would receive no credit.

This is the core AI attribution problem. The measurable traffic is real, but the original source of influence can disappear somewhere between discovery and conversion.

A graphic showing the channel mix of visits by AI influence.

Source

Why Last-Click Attribution Misses AI’s Influence

Last-click attribution works reasonably well when a customer journey is relatively direct. But discovery through AI can introduce additional steps that aren’t captured by traditional referral reporting.

The AI Interaction Happens Before the Measurable Visit

Consider a simple journey.

A consumer asks an AI platform which software tools are best for their business. The platform recommends a brand. The consumer doesn’t click a link. Instead, they continue researching, then return to Google two days later and search for the brand by name.

From an analytics perspective, the final visit may look like a branded organic search.

From the customer’s perspective, however, the journey started with AI.

This distinction matters because the first interaction helped put the brand into consideration.

AI Visibility Can Influence Branded Search

Branded search is often treated as a direct expression of existing brand awareness. Similarweb’s findings suggest there can be another layer behind some of that demand.

If a consumer discovers a brand through AI search and later searches for it directly, the branded query becomes the measurable part of a journey that began elsewhere.

That doesn’t mean every increase in branded search should be attributed to AI. Similarweb’s research shows an association between AI recommendations and later visits, rather than proving that every subsequent visit was directly caused by the recommendation.

The broader point is that marketers need to account for influence that happens before the click.

What This Means for SEO and GEO

The attribution challenge creates a particular problem for SEO and GEO. Both strategies increasingly involve earning visibility before a user visits a website.

AI Visibility Is Becoming Part of Brand Discovery

A brand doesn’t need to receive a referral from an AI platform to benefit from appearing in its answers.

The recommendation itself can influence consideration. Similarweb found that AI-influenced visitors also engaged more deeply after arriving, viewing nearly twice as many pages and spending roughly twice as much time on site as other visitors.

That makes AI visibility more than a visibility metric. It can be an early-stage influence on the customer journey.

SEO Attribution Needs a Broader View

The same principle applies to SEO.

A customer may discover a brand through an AI answer, search for the brand through Google, and eventually convert through another channel. A last-click report may assign credit to the final interaction without showing how earlier discovery contributed to the decision.

This doesn’t make existing attribution models useless. It means marketers should be cautious about using them as the only measure of SEO or GEO performance.

How Marketers Can Measure AI’s Influence

The solution isn’t to invent a perfect AI attribution model overnight. Instead, marketers can start looking for signals that appear downstream from AI visibility.

Track Branded Search Alongside AI Visibility

Monitor changes in branded search demand alongside your visibility in AI answers.

If AI visibility increases and branded search, direct traffic, or other downstream indicators change at the same time, that can provide useful context.

These metrics shouldn’t be treated as proof of causation, but they can help reveal relationships that referral reporting misses.

Look Beyond Referral Traffic

AI referral traffic is still worth tracking, but it represents only one part of the picture.

Marketers should also consider direct visits, branded search growth, engagement, and downstream conversions when evaluating the potential impact of AI visibility.

The goal is to understand whether appearing in AI answers is contributing to meaningful customer behavior, even when the final visit arrives through another channel.

Build Measurement Around the Customer Journey

AI can influence a customer before they ever interact with a brand’s website.

That means measurement needs to account for discovery, consideration, and eventual conversion rather than focusing exclusively on the final interaction.

AI shapes the decision before the click, so marketers need measurement models that value influence, not just last click attribution.

AI Influence Is Bigger Than the Referral in Your Analytics

Similarweb’s research offers an important reminder about the limits of conventional analytics.

A brand recommendation in ChatGPT can lead to a website visit days later, but that visit may arrive through Google or directly through the brand’s website. The measurable interaction is there. The original influence isn’t.

That creates a challenge for marketers trying to evaluate the business case for AI search, SEO, and GEO.

As AI becomes a larger part of how people research products and services, brands will need to measure more than direct referrals. Visibility can influence what customers remember, search for, and eventually choose.

FAQs 

What is AI attribution?

AI attribution is the process of measuring how exposure to AI-generated recommendations or answers contributes to later customer actions, such as website visits, branded searches, or conversions.

Why is AI attribution difficult?

AI platforms may influence users without generating a trackable referral. A person can discover a brand through an AI answer and later visit the website through branded search or direct traffic, making the original influence difficult to identify in standard analytics.

Does AI visibility drive website traffic?

Similarweb found that users who received a brand recommendation in ChatGPT were 2.5x more likely to visit that brand’s website within seven days. The majority of AI-influenced visits arrived through search rather than a direct AI referral.

How should marketers measure AI visibility?

Marketers should look beyond AI referral traffic and monitor related signals such as branded search, direct traffic, engagement, and downstream conversions. These metrics can provide additional context around the influence of AI visibility.

Conclusion

AI is becoming an important part of how consumers discover and evaluate brands, but traditional analytics aren’t always equipped to show its full impact.

Similarweb’s research demonstrates why. Brands recommended by ChatGPT were more likely to receive a website visit within seven days, yet much of that activity appeared as search traffic rather than an AI referral.

For marketers, the takeaway is to treat AI visibility as part of the customer journey rather than simply another traffic source. Tracking branded search, direct visits, engagement, and conversions alongside AI visibility can provide a more complete picture of how AI influences demand.

As AI search continues to grow, the brands that can connect visibility with downstream behavior will be better positioned to understand the value of their SEO and GEO investments.

If you want to better understand how AI visibility is influencing your organic performance, reach out to the NP Digital team to build a measurement strategy that looks beyond the last click.

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Introducing Yoast SEO AI+ for Shopify

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Yoast SEO AI+ for Shopify is live today. The new plan combines Yoast SEO for Shopify with Yoast AI Brand Insights, giving you visibility into how AI systems like ChatGPT, Gemini, Claude, and Perplexity describe your brand, alongside everything you already rely on for search.

Why now

More shoppers are starting their search with AI these days, not just Google. Shopify has seen this firsthand: in Q1 2026, AI-driven traffic to Shopify stores grew 8x year over year, and orders from AI-powered search grew nearly 13x (Shopify, “How Agentic Commerce Works,” 2026).

That doesn’t mean checkout itself has moved to AI, at least not yet. OpenAI closed ChatGPT’s Instant Checkout back in March. What’s actually happening is simpler: AI is helping people discover and compare products, and then they come to your store to buy. AI is becoming a new way for shoppers to find you. Your store is still part of where that relationship builds, alongside social and everything else that shapes how your brand comes across, and it’s still where the sale happens.

That’s why it’s worth knowing what AI is already saying about your brand, before a shopper ever reaches your site. That’s what Yoast SEO AI+ for Shopify helps you do.

Your products have a new audience: AI

See the pitch it’s making. Shape the narrative to your advantage.

Yoast SEO AI+ for Shopify gives you structured data and technical SEO so your products are read correctly, and Yoast AI Brand Insights so you can see how your brand comes across once shoppers arrive.

What’s new

Yoast SEO AI+ for Shopify combines Yoast SEO for Shopify with Yoast AI Brand Insights. Everything you already rely on, product SEO, structured data, technical SEO, is still there. What’s new is visibility into the layer before the sale: how AI systems describe your brand before a shopper ever reaches your store.

With AI Brand Insights, you can:

  • See your brand’s AI Visibility Index score
  • Know whether AI speaks positively about you, with sentiment tracking
  • See how you compare to competitors in AI
  • See which sources AI is citing when it talks about you

Run scans across ChatGPT, Gemini, Claude, and Perplexity, then decide what to do with what you find. AI Brand Insights shows you the story AI is telling about your brand. It doesn’t write it for you. That part is still yours.

What’s included

Yoast SEO AI+ for Shopify is the complete product visibility plan: everything in Yoast SEO for Shopify, plus AI Brand Insights. You can compare the plans here.

Pricing

Yoast SEO AI+ for Shopify is $45/month or $450/year, with a 14-day free trial.

Get started

Get started with our Quick start guide for Yoast SEO for Shopify. Yoast AI Brand Insights lives in your MyYoast account, and the guide shows you how to set it up.

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1 billion downloads: The people and stories behind Yoast SEO

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Table of contents

1 billion downloads of Yoast SEO. That’s a milestone worth celebrating.

But behind that number are the people who made it possible: the bloggers who wanted more people to find their content, the businesses working to grow online, the agencies helping their clients succeed, and the countless people who simply wanted a little help with SEO.

Over the years, Yoast SEO has been part of millions of these journeys. Some people have been using it for more than a decade, while others have only recently discovered it. So, as we celebrate 1 billion downloads, we wanted to hear from the people behind the number and look back at what Yoast SEO has meant to them.

This milestone belongs to you. Thank you for being part of the journey.

What our users told us

We recently rolled out a short survey to our users, asking them to share how Yoast SEO has been part of their SEO journey. (If you’re a Yoast user, you may have even received it in your inbox.) We heard from people at very different stages from a WordPress agency that has been using Yoast since its early days to people who discovered it more recently.

Here are a few of the stories they shared with us.

More than a decade of making SEO accessible

One respondent is part of a WordPress agency in Montreal that has been using Yoast SEO for more than a decade. The agency installs Yoast SEO by default for its clients and says it has helped make SEO more accessible:

“As a pioneering WordPress agency based in Montreal, Canada, we’ve been using Yoast since its inception and install it by default for all our clients. Yoast played a key role in raising awareness and making the SEO strategy for a WordPress project more accessible.”

Their favorite feature? The Yoast SEO Meta Box.

Building a website with confidence

Another respondent started using Yoast SEO less than a year ago, after building an author website and looking for help with SEO. They particularly appreciated the setup process and the guidance built into the plugin:

“The easy-to-follow setup steps, along with the built-in features to let you know if the SEO for your webpage checks all the boxes, have allowed me to build it with confidence.”

The traffic-light feedback was a particular favorite, giving them a simple way to understand how their SEO and readability were shaping up as they built their site.

Making SEO accessible to non-experts

A third respondent came to Yoast SEO while rebuilding a website where the SEO work had to be handled by people who weren’t SEO experts. For them, the value was straightforward: understanding what needed to be done and being able to do it.

“It had to be done by non-SEO experts so the ability to understand what to do and then do it meant Yoast SEO had to be useful. It is useful. Very useful and our business has improved because of it.”

They also appreciated something that goes beyond the familiar green, orange, and red indicators. Yoast’s guidance and articles helped them understand that SEO isn’t always about making everything green, a perspective that made the tool feel more like a trusted guide than a checklist.

And these aren’t the only stories….

The stories shared by our users are just a small glimpse into how Yoast SEO has been part of people’s journeys. Over the years, we’ve heard from many more website owners, content creators, and agencies who have shared their experiences with us. Here are a few words from them:

  • “Yoast has always been our go-to SEO solution for our website and client website projects for over a decade.” — Mark Baldwin, Director at Baldwin Digital
  • “Yoast is now our most valuable app. It saves our team a lot of time writing SEO-optimized content.” — Andrea Oswald, Managing Director at Age Suit Germany
  • “Yoast has helped us spread the word to everyone we work with about how important SEO is.” — Dan Atrill, Director at DJA Online Services Limited
  • “Yoast has been an enormous help with helping us focus our content around the right keywords, changing our site structure and giving nudges when something needs improving.” — Jon, cakebakerecipes
  • “This has helped me improve the traffic on my website by 10 folds, but we started ranking on the 1st page of Google on the majority of our searches.” — Sunny Choudhary, PortraitFlip

These are just a few of the experiences people have shared with us. You can read more on our testimonials page.

And while we’re grateful for every kind word, we’re equally thankful to everyone who has shared feedback, asked questions, or helped us improve Yoast SEO along the way. You’ve all played a part in getting us to 1 billion downloads.

So, why do people use Yoast SEO?

Looking at these stories, a few things stand out. People use Yoast SEO for different reasons, but there’s a common thread: it helps make SEO easier to understand and easier to do.

For some, it’s a way to learn the basics and get a little guidance as they build their website. For others, it’s a familiar part of their day-to-day workflow, helping them optimize content without having to be an SEO expert.

A few themes come up again and again:

  • It makes SEO more approachable. You don’t need to be an SEO professional to understand what needs attention on your pages.
  • It gives you guidance while you work. The feedback in the editor helps you spot areas for improvement as you create or update content.
  • It takes care of important technical SEO. Things like XML sitemaps, canonical URLs, structured data, and redirects can be handled without having to manage everything yourself.
  • It helps people learn along the way. Yoast’s analysis, articles, documentation, and other educational resources have helped many users better understand SEO itself.

And perhaps that’s one of the most meaningful things about reaching 1 billion downloads: Yoast SEO has been used by people at very different stages of their SEO journey. Some needed a starting point, some needed a helping hand, and others have been using it as part of their workflow for years.

But we wondered: if we asked AI what people think about Yoast SEO, would it come up with the same themes?

We also asked AI what people think about Yoast SEO

We couldn’t resist asking AI, too. So we gave Gemini, Claude, Grok, and Perplexity the same two questions: Why do people love the Yoast SEO plugin? and What are people’s reviews of Yoast SEO?

Their answers were different, but a few familiar themes kept popping up: making SEO easier to understand, providing helpful guidance, and handling the technical stuff.

In other words, the AI found many of the same things our users told us themselves. We won’t let the robots take all the credit, though. The real stories are still the best part.

SEO for everyone: Thank you for being part of 1 billion downloads

A billion downloads is a huge number, but what makes this milestone special is the people behind it. Every download represents someone working on a website, creating something new, learning about SEO, growing a business, or simply trying to help more people find their content.

Over the years, you’ve used Yoast SEO in countless different ways. You’ve shared your experiences, asked questions, given us feedback, and helped us improve the product. Some of you have been with us for more than a decade, while others have only just started their SEO journey.

And that’s what SEO for everyone means to us. Not just making SEO tools available to everyone, but helping people at every stage feel that SEO is something they can understand and use.

So, whether you were download number one or somewhere among the billion that followed, thank you. Thank you for trusting Yoast SEO, for learning with us, and for being part of our journey.

Here’s to the next billion — and to making SEO for everyone.

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The SEO Update by Yoast – October 2026

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The SEO Update by Yoast – October 2026



Will take place on



4 PM CET / 11 AM EDT

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Alex Moss

Principal SEO

Carolyn Shelby

Principal SEO

Is your 2026 SEO strategy actually ready for the next wave of AI search updates?

Between AI-driven search overhauls and constant algorithm tweaks, keeping your site visible can be challenging.

The SEO Update by Yoast brings you the latest insights on algorithm updates, AI-driven search changes, and industry developments, all in one easy-to-follow session.

Join Carolyn Shelby and Alex Moss as they discuss the stories shaping SEO today and share actionable takeaways you can apply right away.

Who should sign up?

This update is ideal if you:

  • Want expert insight into recent SEO and AI changes and trends
  • Need help refining or validating your SEO strategy
  • Have SEO questions you’d like answered live

Event details

  • Level: Intermediate
  • Duration: 1 hour
  • Live Q&A with our SEO experts
  • Free registration
  • Recording available after the session

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First upcoming events

SEO for beginners webinar
14 October 2026

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SEO for beginners webinar

Learn the essentials to start SEO confidently and boost your site’s visibility.

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brightonSEO – October 2026
October 08 – 09, 2026

Who will be there:

Alex

  • Speaking

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brightonSEO – October 2026

Team Yoast is Attending, Speaking, Sponsoring, Yoast Booth at brightonSEO – October 2026!…



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The SEO Update by Yoast – October 2026
27 October 2026

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Alex Moss

Principal SEO

Carolyn Shelby

Principal SEO

The SEO Update by Yoast – October 2026

Expert analysis of the latest SEO & AI news developments with Carolyn…

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Increase your site’s visibility

  • Get instant guidance on key phrases
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AI Visibility at Scale: Learning From 9M Prompts and 400+ Enterprise Brands

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Key Takeaways

  • Sentiment and online reputation don’t drive AI citations the way most brands assume. Some data even shows a negative correlation.
  • Format isn’t the deciding factor. 64 percent of AI citations come from ordinary pages, not listicle, how to, or comparison content.
  • On commercial-intent prompts, 82 percent of citations go to third parties and just 3 percent to owned pages.
  • Owned citations, where an AI/LLM result goes to a link directly on your domain, delivered the single strongest visibility lift in the data.
  • Despite new AI model releases causing volatility, inconsistent AI search visibility from one quarter to the next is usually a brand problem, not a platform problem. Brands that win on one AI platform tend to win on all of them.

At brightonSEO 2026, I presented AI search visibility research built from 9 million AI answers across 9 platforms and 400+ enterprise brands, the same dataset behind this piece. The feedback I got from conference attendees  in the days that followed made one thing clear: most of what marketers assume about AI search visibility hasn’t actually been tested against real data.

This comes from real client and competitor data tracked across a wealth of company times, from ecommerce to finance to B2B software,. 

Nine assumptions keep showing up in GEO pitches, LinkedIn posts, and Slack threads, and none of them hold up once you check them against this data. Fundamentals beat hacks, and data beats opinion. Here’s what actually drives AI citations, and what to do differently for your GEO strategy starting now.

Myth 1: Positive Sentiment Drives More AI Citations

A lot of ORM budgets are allocated in 2026 based on the idea that better reviews and healthier brand sentiment should earn a brand more AI citations.

The data says otherwise. Across five major platforms, ChatGPT, AI Mode, Gemini, Copilot, and Grok, sentiment correlates negatively or flat with citation frequency. Brands with rockier reputations often get cited more, not less.

The likely mechanism: these models retrieve based on how often and how deeply a brand gets discussed, not on how people feel about it. Controversy generates more discussion than a quiet, well-liked brand ever does, and more discussion means more material for a model to pull from when it builds an answer.

Stop treating AI visibility as a reputation-management outcome. If you’re funding ORM work hoping it moves your citation count, it likely won’t, at least not directly. Sentiment still matters for conversion, trust, and E-E-A-T, so keep investing in it. Just don’t expect it to explain your AI visibility numbers. 

Myth 2: Listicles, Comparisons, and How-Tos Win the Most AI Citations

“Structure it as a listicle and AI will cite you” has become the default logic behind a lot of “AI-optimized” content briefs.

64 percent of AI citations actually come from ordinary pages, not those formats.

Chart or callout showing that 64 percent of AI citations come from ordinary pages rather than listicles, how-tos, or comparison content.”

The reason: these models pull whichever passage best answers the prompt, format aside. A thorough category page or a detailed guide often answers more prompts than a thin, formulaic list built only to be cited.

Stop treating AI optimization as a formatting exercise. Make your regular pages more thorough instead, with better question coverage, more specifics, and original data the model can actually pull from.

Myth 3: Your Transactional Pages Control Your Transactional Prompts

Who knows a product better than the company selling it? That logic is why so many brands assume their own product and pricing pages would carry the most weight on their commercial-intent prompts.

On commercial-intent prompts, 82 percent of citations go to third parties. Owned pages make up just 3 percent, compared to as much as 13 percent owned coverage on navigational and informational queries.

Pie or bar chart showing that 82 percent of citations on commercial-intent prompts go to third parties versus 3 percent to owned pages

At the exact moment someone is deciding whether to spend money, these models default to treating any source other than the seller as more credible. At 3% of citations, it seems your own pricing page is the last place they look for confirmation.

Aim digital PR investment specifically at bottom-of-funnel, commercial-intent topics — pricing comparisons, category roundups, best-for placements — rather than only top-funnel awareness moments.

Myth 4: Reddit Is the Highest-Impact Third-Party Source for AI Visibility

Reddit has become close to gospel in SEO/AI search circles as the single most impactful third-party channel for AI visibility right now.

YouTube actually delivers the strongest lift at 2.8x, ahead of LinkedIn (2.7x), Reddit (2.4x), G2 (1.9x), and Gartner (1.6x).

"Bar chart ranking third-party citation sources by AI visibility lift: YouTube, LinkedIn, Reddit, G2, and Gartner

YouTube is underused as an AI-visibility surface because most brands still treat it as a brand content channel rather than a citation source. A video transcript is a large, well-structured, spoken-language document, exactly the kind of content these systems retrieve well.

Build a YouTube SEO roadmap backed by search demand data, prompt volume data, and AI visibility tracking. Full transcripts, descriptive titles, and consistent brand mentions throughout the video, not just in the description.

Myth 5: Third-Party Sources Win, So Owned Content Is a Lost Cause

I’ve watched brands look at how much third-party content dominates AI citations and start pulling back their own website investment entirely.

That’s the wrong read. Owned citations make up a small share of the mix, but when a brand’s own content does get cited, its AI visibility rate jumps 5x, the single strongest lift anywhere in the dataset, ahead of even YouTube’s 2.8x.

Chart or callout showing a 5x AI visibility lift when owned content is cited, compared to third-party source lifts

Don’t pull back on owned content. Build and optimize pages specifically around the query types the data shows are already earning owned citations, and treat each one as disproportionately valuable relative to the rest of your site.

Myth 6: Once You Earn a Citation, You’re in the Model for Good

A lot of teams set targets and report wins to leadership as though a citation, once earned, sticks around for good, offering real impact long term.

Up to 58 percent of citations never reappear, though. More than half of what a brand wins, it wins once. The split that matters more: owned pages last 3 to 9 times longer than third-party citations.

Chart showing that up to 58 percent of AI citations never reappear, and that owned pages last 3 to 9 times longer than third-party citations

Judge content by its decay curve, not a single snapshot right after it goes live. Check citations on a weekly, monthly, and quarterly cadence, and build budget and business cases around what sustains, not what spikes.

Myth 7: A Citation Is a Citation, and It All Builds the Brand

Any AI citation of a brand’s content should build that brand, or so the thinking goes, regardless of whether the AI’s answer actually says the brand’s name out loud.

Up to 75 percent of AI answers that cite a brand’s page never actually say the brand’s name. The model uses the content and the research behind it without giving the brand exposure teams expect in return.

Callout showing that up to 75 percent of AI answers that cite a brand's page never mention the brand name

Stop reporting citation growth alone as a win. Report on visibility and share of voice instead. A rising citation count that isn’t paired with stronger AI visibility/SOV, more branded searches, or more direct traffic isn’t actually working for the brand yet.

Myth 8: Inconsistent AI Visibility Is a Platform Problem

“Some platforms are just unstable” is the explanation I hear constantly for a bad month or quarter, and some published research has backed it up.

But across 9 million AI answers, brand-level visibility volatility, a range of 0.04 to 1.0, dwarfs platform-level volatility, a range of 0.08 to 0.32. On the same platform, in the same week, some brands stay rock solid while others spike and dip. The variable driving that difference is the brand, not the platform.

Chart comparing the range of brand-level AI visibility volatility against platform-level volatility

The most stable brands in the dataset share two traits: deep topical coverage and strong third-party mentions.

If visibility starts fluctuating, start by auditing the brand’s content and entity authority first, then looking to coverage gaps before assuming platform instability is the issue.

Myth 9: Brands Need a Completely Different Strategy for Each AI Platform

Schema tricks for one engine, statistics for another: that’s the playbook a lot of teams think they need, one fundamentally different strategy per AI platform.

High performers stay high performers consistently across every platform measured. Top brands show roughly 4x steadier performance than the rest, everywhere at once.

Chart showing that top-performing brands maintain consistent AI visibility across all measured platforms, roughly 4 times steadier than average

The underlying signals that create a winner, solid content, third-party corroboration, offsite authority, are the same everywhere. A model doesn’t reward a brand differently for being thorough on ChatGPT versus Gemini.

Focus on fundamentals first, since they transfer across every platform. Depth and freshness of content, earned bottom-funnel third-party coverage, and video with strategic transcripts matter more than GEO tricks built for a single engine.

FAQs

Does having better sentiment or reviews get you cited more by AI?

Not directly. Across five major AI platforms, sentiment correlates negatively or flat with citation frequency, since these models retrieve based on how much a brand is discussed, not how well it’s liked. Sentiment still matters for conversion and trust, just not for citation volume.

Do listicles, comparison content, and how-tos win the most AI citations?

No. 64 percent of AI citations come from ordinary pages, not those formats. AI models pull whichever passage best answers the prompt, and a thorough regular page often does that better than a thin list built only to be cited.

Does my own site have more influence on my highest-value, transactional prompts?

Less than most brands assume. On commercial-intent prompts, 82 percent of citations go to third parties and only 3 percent to owned pages. At the point someone is about to spend money, AI models tend to trust anyone but the seller.

Which third-party citation source gives a brand the biggest lift in AI visibility?

YouTube, at 2.8x, ahead of LinkedIn (2.7x), Reddit (2.4x), G2 (1.9x), and Gartner (1.6x). Video transcripts are large, well-structured, spoken-language documents that these models retrieve especially well.

If third-party sources dominate AI, is investing in your own site still worth it?

Yes, and arguably more than ever. Owned citations are rarer, but when a brand’s own content does get cited, its AI visibility rate jumps 5x, the strongest lift of any source in the dataset.

Once you earn a citation, does it stick around?

Usually not for long. Up to 58 percent of citations never reappear after their first showing. Owned pages last 3 to 9 times longer than third-party citations, which is another reason owned content is worth the investment.

If an AI engine cites your page, does it also name your brand?

Often not. Up to 75 percent of AI answers that cite a brand’s page never actually say the brand’s name. That’s why citation count alone is a weak success metric; visibility and share of voice matter more.

Is inconsistent AI visibility a platform problem or a brand problem?

A brand problem, in almost every case. Brand-level visibility volatility (0.04 to 1.0) is far wider than platform-level volatility (0.08 to 0.32). The most stable brands share deep topical coverage and strong third-party mentions.

Do brands need a completely different strategy for each AI platform?

No. Top-performing brands stay roughly 4x steadier than average across every platform measured, because the fundamentals that earn AI visibility, content depth, third-party coverage, built authority, transfer everywhere rather than requiring a platform-specific playbook.

Conclusion

AI visibility, like SEO before it, isn’t about gaming a platform. It’s about being a genuinely trusted authority and a source worth citing.

Every one of these nine myths points back to the same idea: the work practitioners already know how to do, building depth, earning real third-party coverage, establishing authority, still counts. It counts more than any GEO shortcut circulating in a LinkedIn post right now. The data just gives you a clearer map of where to point that work first.

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