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Do LLMs Read Ads? What the Data Says About Paid vs. Earned Influence on AI Answers

Brands spend billions on advertising, but AI assistants build their answers from somewhere else. Here is what the data shows about where ads fit, and where they do not.

By MentionMethod 6 min read
84%of AI citations come from earned media
0.3%come from paid or advertorial content
0.215correlation between ad spend and AI Overview mentions
Key takeaways
  • AI models do not "read" your display, social, or search ads the way they read articles. Ad creative is rarely part of the content they learn from or retrieve.
  • In Muck Rack’s May 2026 analysis of more than 25 million links, earned media made up 84% of AI citations. Paid and advertorial content made up just 0.3%.
  • Ad spend correlates only weakly with AI visibility (0.215 in Ahrefs’ 75,000-brand study), about a third as strongly as brand web mentions (0.664).
  • Ads can still matter, but only indirectly: through the people, coverage, and conversations they create.

The short answer: no, not directly

It is one of the most common questions marketers ask about generative AI: if we are spending heavily on advertising, does ChatGPT, Gemini, or Perplexity notice? The honest answer is that large language models do not read ads in any meaningful sense. To see why, it helps to look at the two ways an AI assistant learns what to say about a brand.

Path 1: training data

Models are trained on huge snapshots of text: articles, reference pages, forums, books, and documentation. Display banners, social ads, and search ads are mostly images, short snippets, or units served by ad platforms rather than pages of text, so they make up very little of what a model learns from.

Path 2: live retrieval

When an assistant searches the web to answer a question, it pulls in pages it can crawl and cite: reviews, news stories, comparison guides, community threads. An ad that appears next to those pages is not the page itself, and assistants cite the content, not the ad slot.

The data on what assistants actually cite backs this up.

What AI actually cites: 84% earned, 0.3% paid

Muck Rack’s What Is AI Reading? report tracks the links that ChatGPT, Claude, and Gemini cite in their answers. Its May 2026 edition analyzed more than 25 million links across 17 industries and found that 84% of citations came from earned media: coverage, reviews, and mentions a brand did not pay for. Paid and advertorial content accounted for just 0.3%.1 Muck Rack notes that the 84% figure has held steady across three reports since July 2025.

Figure 11,000 AI citations, by where they came fromEach square is one citation. Watch how few come from paid content.
Earned media: 840Owned and other: 157Paid and advertorial: 3
Source: Muck Rack, What Is AI Reading? (May 2026), 25M+ links cited by ChatGPT, Claude, and Gemini. "Owned and other" is the remainder after earned and paid.
View the data
Citation typeShare
Earned media84%
Paid and advertorial0.3%
Owned and other (remainder)15.7%

In other words, if you picked 1,000 random citations from AI answers, you would expect to find about three that came from paid placements. The other 997 come from content someone chose to write about a topic, a product, or a brand.

Trace an AI answer back to its sources

To make this concrete, here is a sample AI answer about a fictional product category. Hover over or tap each sentence to see the type of source that typically supports a claim like it. Then look at the sponsored unit beneath the answer.

Figure 2Where each part of an AI answer comes fromInteractive example with fictional brands. Hover or tap a highlighted sentence.
What’s the best project management tool for a small agency?
Reviewers consistently rank Northbeam and Taskline at the top for small teams, and agency owners in online communities often praise Taskline’s client portal. On review sites, Northbeam averages 4.6 stars, with users highlighting its time tracking. Taskline’s plans start at $12 per user per month.
SponsoredTry PlanPilot free for 30 days. The project tool built for agencies.
Hover or tap a sentence aboveEach one is backed by a different kind of source.
Illustrative example. Brand names are fictional. Source types reflect the citation patterns described in this article.

Notice the pattern. The recommendation itself, which brands get named and why, comes almost entirely from earned sources. The brand’s own site fills in facts like pricing. The ad sits outside the answer entirely.

Ad spend vs. mentions: what correlates with AI visibility

Citations tell you what assistants link to. A second dataset looks at which brand signals line up with being mentioned at all. Ahrefs analyzed 75,000 brands and measured how strongly different factors correlated with how often each brand appeared in Google’s AI Overviews.3

Figure 3Correlation with AI Overview brand mentionsHigher means the signal moves more closely with AI visibility (correlation coefficient, 0 to 1).
MentionsSearch demandPaid advertising
Source: Ahrefs, An Analysis of AI Overview Brand Visibility Factors (May 2025), 75,000 brands. Correlation is not causation.
View the data
FactorCorrelation
Branded web mentions0.664
Branded search volume0.392
Ad traffic0.216
Ad cost0.215

Branded web mentions came out on top at 0.664. Ad traffic (0.216) and ad cost (0.215) sat near the bottom of the list, roughly a third as strong. Spending more on ads, on its own, does not track closely with being named in AI answers.

The middle bar is the interesting one. Branded search volume (0.392) sits between the two, and it is one of the things advertising can genuinely move. That is the first hint of how ads can matter after all.

How ads can still influence AI, indirectly

Ads cannot talk to a model, but they can talk to people, and people create the content models learn from. When a campaign makes someone search for a brand, write a review, start a thread, or pitch a story, it can leave a trail of earned content behind. That trail is what assistants read.

Figure 4The only bridge between an ad and an AI answer is a personAds reach people. People create the content AI reads.
Ad impressionDisplay, social, video, or search
A person engagesSearches, discusses, tries the product
Content gets createdReviews, threads, articles, videos
AI crawls or retrieves itTraining data or live search
Brand appears in answersMentioned, cited, recommended
Conceptual model. The connection from ad to AI answer runs through human-created, crawlable content.

This also explains why two campaigns with identical budgets can have very different effects on AI visibility. A campaign that sparks reviews, coverage, and conversation leaves material for AI to find. A campaign that only drives clicks to a landing page leaves very little.

What about ads inside ChatGPT?

There is a newer wrinkle. In February 2026, OpenAI began testing ads in ChatGPT for logged-in adult users on its Free and Go tiers. OpenAI states plainly that “ads do not influence the answers ChatGPT gives you,” and that ads are labeled as sponsored and visually separated from the answer. Pro, Business, Enterprise, and Education plans do not show ads.2

So even when you can buy space inside an AI assistant, you are buying a placement next to the answer, not a place in it. The organic answer is still built from the same earned sources as before.

What brands and agencies should do with this
  1. Judge campaigns by the content they create, not just clicks. Track reviews, articles, threads, and branded searches that follow a campaign, not only conversions.
  2. Brief creative to spark conversation. Claims worth repeating, data worth citing, and offers worth reviewing give people a reason to write about you.
  3. Treat earned coverage as a media outcome. If 84% of citations are earned, earned media belongs in the same plan as paid media, not a separate silo.
  4. Keep ad placements and AI answers separate in reporting. Ads inside assistants can drive traffic, but they do not change what the assistant recommends.

Frequently asked questions

Do AI models train on ads?

Very little. Ads are mostly images, short snippets, or units served by ad platforms rather than crawlable pages of text, so they make up a tiny share of training data compared with articles, forums, and reference content.

Do ads in ChatGPT change its answers?

According to OpenAI, no. Its February 2026 announcement says ads do not influence ChatGPT’s answers and are shown labeled and separated from the response.

Can paid content ever be cited by AI?

Occasionally. Muck Rack found paid and advertorial content made up 0.3% of AI citations, so it happens, but rarely compared with earned media at 84%.

If ads do not count, why do some heavy advertisers show up in AI answers?

Usually because large campaigns also generate press coverage, reviews, searches, and discussion. Those earned signals, not the ads themselves, are what AI tools pick up.

Sources

  1. Muck Rack, “Generative Pulse: Earned Media Consistently Drives AI Citations, Holding at 84%,” What Is AI Reading? report, May 2026. Press release
  2. OpenAI, “Testing ads in ChatGPT,” February 9, 2026. openai.com
  3. Louise Linehan and Xibeijia Guan, “An Analysis of AI Overview Brand Visibility Factors (75K Brands Studied),” Ahrefs, May 26, 2025. ahrefs.com
Written byMentionMethodMentionMethod helps brands understand and grow how they show up in AI answers. We publish data-driven research on AI visibility, citations, and brand mentions.
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