Tag: link building

Anthropic’s New Usage Policy Bars Using Claude to Plant Fake Sources for AI Answers. What It Means for Brand Mentions.

Every marketer working on AI visibility has the same suspicion: if AI assistants lean on third-party sources, the shortest route to a mention is to create those sources. A policy update from Anthropic, the company behind Claude, puts a line through part of that idea. Announced on October 8, 2026 and effective November 12, it prohibits using Anthropic’s products to seed the sources AI systems draw answers from with content that misrepresents who is behind it.

The wording is narrower than some headlines suggest, and the policy binds users of Anthropic’s products, not the web at large. This piece sets out what the text says, what it does not say, and the practical test it offers brands deciding between earned mentions and planted ones. It is written for teams planning generative engine optimization and digital PR programs.

What the policy says

The change sits in a new section of Anthropic’s usage policy on deceptive campaigns and artificial activity. Read from the policy page, it prohibits using Anthropic’s products to create fake personas, accounts, media outlets or organizations, or to impersonate real ones. It prohibits hiding the sponsorship of content meant to influence opinion or decision-makers, and spreading content through networks of fake or ostensibly independent sites that share a common source. It also covers building tools for deceptive campaigns and marketing any of these activities.

The clause that matters here prohibits manipulating the sources from which search engines or AI systems draw answers, by “seeding them with content that misrepresents its origin, authorship, or independence.” The policy’s own example is a network of sites posing as unaffiliated sources that corroborate the same claims.

Notice what triggers the rule. It is not seeding, volume or the use of AI. It is misrepresentation: content that hides its origin, its author or its lack of independence.

Who it binds, and who it does not

The policy applies to anyone who submits inputs to Anthropic’s products. That covers individuals using Claude.ai or Claude Code, businesses using the API, customers who reach Claude through cloud providers or resellers, and end users of products built on Claude. A marketing tool built on Claude puts its own users under the same rules, as Relevant Audience points out.

It does not bind search engines, other AI companies or the open web, and it does not govern how Claude ranks or cites content. Mike King of the GEO consultancy iPullRank makes the same point in his analysis: the policy is about how people use Claude.

Enforcement works against the account, not the website. Anthropic’s Safeguards Team monitors for violations, and if one is suspected Anthropic may warn, throttle, limit, suspend or terminate access to its products. That differs from Google’s spam policies, which act on sites.

A new rule, or a clearer one?

Search Engine Journal reads the update as a clarification, not a brand-new ban. The 2025 policy did not mention search engines or AI answers, but Anthropic says it already prohibited fake-account networks and fake news sites, spread across other sections. The new text states the principle directly and applies it to the sources AI draws on.

Search Engine Journal also describes the case Anthropic linked to the section. According to that report, Anthropic found a network of around 70 sites posing as independent local news outlets, tied to a France-based advertising agency. The network used Claude to produce articles designed to “boost their site’s authority rankings on search engines.” It published at least 8,913 articles in about 20 languages, though most got little engagement. Anthropic removed the account and banned the organization.

Two cautions apply. The coverage does not say whether those sites improved their rankings or appeared in AI answers, so the case shows the tactic being attempted, not working. And Search Engine Journal does not link the full text of Anthropic’s report, so its details rest on that outlet’s summary.

Where the line sits

Relevant Audience reads the clause as aimed at deception about who is behind content, not at producing content for AI visibility. In its reading, the policy does not ban using Claude to write content, structure pages for AI answers or publish at volume. That is the publication’s interpretation of the text, which Anthropic has not spelled out for edge cases. For example, Anthropic has not said how it would treat several openly branded sites run by one company, and the policy text points to misrepresented independence as the trigger.

Read together, the sources suggest a useful test, which Relevant Audience frames as its own and not Anthropic’s: would the tactic still work if every reader knew who wrote the content and who paid for it? King puts a similar idea in terms of durability, arguing that manufactured independence has “an expiration date.”

Earned versus planted mentions

That test separates two things that can look alike from outside.

An earned mention exists because someone independent chose to write it. A journalist cites your original research. An expert quotes you. A customer reviews your product. A publisher runs a contributed article under a real byline. A sponsored placement is labeled as sponsored.

A planted mention only looks independent. A network of sites that recommend the same brand while hiding common ownership. Reviews from fake personas. Undisclosed paid listicles. Forum answers posted by accounts that conceal their affiliation. iPullRank, which sells GEO services and so has an interest in the framing, lists these among the tactics to avoid. The policy text itself names fake personas, hidden sponsorship and networks of ostensibly independent sites.

This is the distinction our earlier piece on why third-party mentions matter for AI search turns on. The reason independent sources carry weight in AI answers is that they are independent. Faking independence takes away the thing that made the mention valuable, and it now carries account-level risk for anyone doing it with Claude.

What to do before November 12

None of this requires a strategy rewrite. It asks for a short audit.

Check your own content network. If you or an agency have used Claude to produce content for several sites that appear independent but share an owner or a sponsor, review it now. Search Engine Journal suggests this audit.

Ask vendors direct questions. Relevant Audience recommends asking agencies and tools how they build AI visibility and whether any sites in their plans are owned by them without saying so. A vague answer is information.

Label sponsorship. Where a placement is paid, say so on the page. Where a comparison page is brand-owned, make that obvious.

Use real bylines and real experts. Contributed content should carry the name of the person who wrote it and a verifiable role.

Fund the earned route. Original data, expert commentary and useful tools give journalists and publishers a reason to cite you. That is the work behind digital PR and ethical link building, and the slower route is the durable one.

Measure what you earn. Track whether your brand is mentioned and cited across AI platforms, and which sources drive the mentions. A free AI Visibility Audit does this across platforms and shows where earned coverage is missing.

What this does not tell you

The policy is not evidence that seeding works, or that it fails. The reporting does not show whether the network Anthropic banned gained rankings or appeared in AI answers.

It does not describe how detection works beyond general monitoring, and it does not cover other AI companies. ChatGPT, Gemini and Perplexity have their own terms, and Google has its own spam policies. Do not read this one document as a rule for all of GEO.

It also does not tell you that AI-written content is off limits. The text turns on misrepresentation, though edge cases remain untested. If you use AI tools to draft, the safe course is the same as it has always been: a real author, accurate claims and no pretense about who is speaking.

Why this matters for AI search visibility

AI assistants increasingly shape which brands get recommended, so the temptation to manufacture sources will not disappear. What this update does is move one major provider’s rules in the opposite direction, and mark provenance as the thing platforms are watching. For answer engine optimization, the safest assets are the ones that can survive scrutiny: clear answers, original information, real authors and accurate facts. Our full guide to optimizing for AI search covers that groundwork, and sound search engine optimization supports all of it.

Where this leaves you

The confirmed facts are these. Anthropic announced an updated usage policy on October 8, 2026, effective November 12. A new section prohibits using its products to seed the sources search engines and AI systems draw answers from with content that misrepresents its origin, authorship or independence. Enforcement is against accounts. The policy binds users of Anthropic’s products, not other companies or the open web.

The practical response is to build mentions that would still work if everyone knew who was behind them. That favors original research, real experts, labeled sponsorship and honest digital PR and link building, backed by measurement of what AI platforms actually say about you. Whether the aim is generative engine optimization, answer engine optimization or plain search engine optimization, the same provenance rules apply.

Frequently Asked Questions

1. What did Anthropic’s updated usage policy change?
It added a section on deceptive campaigns and artificial activity, which prohibits using Anthropic’s products to seed the sources search engines and AI systems draw answers from with content that misrepresents its origin, authorship or independence. It takes effect November 12, 2026.

2. Does it ban GEO?
No. The trigger is misrepresentation, not optimization. Writing clear content, structuring pages for AI answers and earning mentions are not what the clause describes, though Anthropic has not addressed every edge case.

3. Who does the policy apply to?
Anyone who submits inputs to Anthropic’s products, including individuals, API developers, customers using Claude through cloud providers and end users of products built on Claude. It does not bind search engines or other AI companies.

4. What happens if someone violates it?
Anthropic may warn, throttle, limit, suspend or terminate access to its products. In the case Search Engine Journal describes, Anthropic removed the account and banned the organization.

5. Is it a new rule?
Search Engine Journal reads it as a clarification. Anthropic says fake-account networks and fake news sites were already prohibited under other sections, and the update names the search and AI answer context directly.

6. How do I tell an earned mention from a planted one?
Ask whether the tactic would still work if readers knew who wrote and paid for the content. Independent coverage, real reviews, labeled sponsorships and bylined expert content pass. Fake personas, hidden-owner site networks and undisclosed paid listicles do not.

7. What should I do before November 12?
Audit any Claude-made content running across sites that appear independent, ask agencies and tools how they build AI visibility, label sponsored content and use real bylines. Then measure your actual mentions across AI platforms.

If you want to know where your brand is mentioned and cited across Google and AI answer engines today, and which sources are driving it, that is exactly what we look at in a free AI Visibility Audit

ChatGPT and Claude Cite Earned Media About 93% of the Time in Product Research. Your Own Website Barely Registers.

If your entire AI visibility plan is to publish better pages on your own site, the research says you are working on the smaller half of the problem. Two academic studies and one large industry analysis, each looking at a different slice of AI search, land on the same practical conclusion: what other people publish about you carries far more weight in AI answers than what you publish about yourself.

That is a strong claim, and it is also one that gets stretched in the retelling. The headline figure of 93% applies to specific engines in a specific kind of query, not to every AI platform in every situation. Here is what each source actually measured, where the numbers hold, where they do not, and what it means for how you spend a marketing budget.

Study one: a small group of outlets dominates news citations

The first paper is “News Source Citing Patterns in AI Search Systems” by Kai-Cheng Yang, posted to arXiv on July 7, 2025. It analyzed 366,087 citations across 12 AI search models from three providers: OpenAI, Perplexity, and Google. The data was collected over seven weeks between March and May 2025 from the AI Search Arena dataset.

A little over 9% of those citations, 32,865 in total, pointed to news outlets. That is worth stating up front, because it means the paper is not claiming that AI engines mostly cite journalism. It is examining the news slice of citations and finding that the slice is extremely concentrated.

The concentration differs sharply by provider. The paper reports that the 20 most frequently cited news sources account for 67.3% of citations for OpenAI models, compared with 31.9% for Google and 28.5% for Perplexity. Reuters and the Associated Press alone were cited at rates of 22.8% and 12.2% for OpenAI models. In other words, when ChatGPT-style models reach for a news source, they reach for a very short list.

One caution applies. The paper is a preprint posted on arXiv, so read it as a well-documented research finding rather than settled consensus, and note that it covers models tested in 2025.

The takeaway for marketers is narrower than the headline suggests. If you want news-based visibility in OpenAI-powered answers, the door is small, and the outlets standing in it are wire services and major national publishers. That does not make earned media pointless. It tells you that not all earned media is equal.

Study two: earned media versus your own site

The second paper is “Generative Engine Optimization: How to Dominate AI Search” by Mahe Chen, Xiaoxuan Wang, Kaiwen Chen, and Nick Koudas, submitted on September 10, 2025. The authors ran controlled experiments across ten consumer product verticals, with 100 queries each, and classified every cited source as earned media, brand-owned, or social content. Their abstract describes a systematic and overwhelming bias toward earned media, meaning third-party authoritative sources, over brand-owned and social content.

The numbers vary by engine, and the variation matters. In the consumer electronics vertical, Claude drew about 93.7% of its citations from earned media and ChatGPT about 93.6%. Perplexity was far lower at 53.3% earned, with 31.6% from brand-owned sites and 15.1% from social platforms.

Across the paper’s broader brand tests, the pattern held. For well-known brands, ChatGPT cited earned media 93.5% of the time and brand-owned pages 6.5%. Claude sat at 87.3% earned and 6.8% brand-owned. Perplexity came in at 67.4% earned and 8.8% brand-owned, with 23.8% from social. Gemini showed 63.4% earned and 25.1% brand-owned. For niche brands, ChatGPT reached 95.1% earned and 4.9% brand-owned, and Claude 86.3% earned and 10.6% brand-owned.

So the tidy line that AI engines cite earned media 93% of the time is accurate for ChatGPT and, in one vertical, for Claude. It is not accurate for Perplexity, and it clearly overstates the case for Gemini, which gave brand-owned pages a quarter of its citations in the well-known brand test. Your own website is close to invisible for ChatGPT on product queries. It is a real contributor to Gemini.

Note also that this is a preprint, and the queries are consumer product comparisons. A B2B services buyer asking about agencies or software may see different source mixes. Treat the paper as strong evidence about direction, not a guarantee for your category.

The third source: most citations do not come from Google’s first page

Ahrefs added two findings that support the same conclusion from a different angle.

In an analysis of 15,000 long-tail queries published on August 11, 2025, Ahrefs found that only 12% of URLs cited by ChatGPT, Gemini, and Copilot also appeared in Google’s top 10 for the same prompt. Put the other way, roughly 88% did not. Perplexity was the exception, with 28.6% overlap. This is why ranking well on Google, while still valuable, does not guarantee a citation. The AI engines are retrieved from a different set of pages.

The second finding is more useful for anyone planning outreach. Ahrefs examined the 1,000 pages ChatGPT cited most in September 2025 and concluded that roughly two-thirds of them are effectively off-limits to traditional outreach. The breakdown was Wikipedia at 29.7%, homepages and landing pages at 23.8%, educational pages at 19.4%, app stores at 6.6%, reviews at 5.8%, news and media at 5.2%, language and grammar sites at 4.0%, dictionary and reference at 2.2%, blog articles at 1.9%, community forums at 0.9%, and corporate pages at 0.5%.

Ahrefs counted only four categories as influenceable: educational pages, reviews, news and media, and blog articles. Together they make up 32.3% of the top 1,000.

This corrects a common retelling. Several summaries describe the off-limits share as Wikipedia, government sites, education, and major news. That is not what Ahrefs found. In the Ahrefs breakdown, educational pages and news were on the influenceable side, and the off-limits side was mostly Wikipedia, other organizations’ homepages, and reference-style sites. The opportunity is in educational content, reviews, news mentions, and articles.

What this does and does not prove

It proves that publishing on your own domain is not enough to earn citations from ChatGPT or Claude on product research queries. It supports the case that third-party mentions matter, and that they matter more on some engines than others.

It does not prove that your own website is irrelevant. Brand-owned content still accounts for 5% to 25% of citations in the Chen study depending on the engine, and pages that AI systems retrieve from your site are part of what makes third-party coverage credible. Your site is where a cited claim gets verified.

It also does not prove that any earned mention helps. The Yang paper shows that the citation pool for news is narrow, and the Ahrefs data shows that news is only 5.2% of ChatGPT’s most cited pages. A mention in a low-authority outlet is unlikely to move the needle.

What this means for link building and digital PR

The strongest business case in this research is for redefining what link building and digital PR are for. For years, the goal was a link that passed ranking signals. The goal now includes being named, described, and reviewed in the places AI engines already trust.

That changes priorities in four ways.

Prioritize the sources engines already cite. Before pitching anyone, check which publications, review platforms, and educational sites appear in AI answers for your category. Build the target list from that, not from domain authority alone.

Pursue reviews and comparisons, not just news. Reviews and educational pages are a much larger share of ChatGPT’s influenceable citations than news. Accurate, current listings on review platforms and inclusion in independent comparison content deserve more of the budget than they usually get.

Create material that other people want to cite. Original data, clear definitions, and expert commentary give journalists and educators a reason to reference you. This is the foundation of effective digital PR, and it also gives educational and blog sources something to link to.

Keep your own site accurate and consistent. When an outlet mentions you, engines and users will check your site. Consistent naming, clear service descriptions, and current facts make the third-party mention easier to trust.

Treat Wikipedia as a consequence, not a target. At 29.7% of ChatGPT’s top 1,000 cited pages, it is the single largest source, and Ahrefs places it outside the reach of outreach. Trying to force an entry is the wrong response. The sustainable route is to earn the independent coverage that makes a company notable in the first place, which is exactly what a disciplined digital PR program produces over time.

Expect a slow payoff. Third-party coverage takes weeks to publish and longer to be picked up by AI engines, so judge a campaign over quarters, not days. Pair the outreach with a monthly citation check so you can see which placements actually change what the engines say.

Set a baseline before you begin. Record which prompts cite your brand today, on which platforms, and from which sources. Repeat monthly. Without that, you cannot separate the effect of an outreach campaign from ordinary platform variability.

Where this leaves you

Optimizing your own site remains necessary. Sound search engine optimization fundamentals still determine whether you are found and understood. But the evidence now points to a second requirement that sits outside your domain. On ChatGPT and Claude, earned media supplies roughly nine in ten citations for product research. On Perplexity and Gemini the share is lower but still a majority. That is the reason generative engine optimization and answer engine optimization now include off-site work, and why link building teams are being asked to think about mentions, reviews, and reference sources, not just links.

Frequently Asked Questions

1. Do AI engines really cite earned media 93% of the time?
Answer: For ChatGPT and Claude in the consumer electronics vertical of the Chen study, yes: about 93.6% and 93.7%. Perplexity was near 53% and Gemini near 63% to 66% in other tests, so the figure does not apply to every engine.

2. What counts as earned media in these studies?
Answer: Third-party authoritative sources such as independent reviews, journalism, and expert publications. Brand-owned pages and social content are classified separately.

3. Does this mean my website does not matter for AI visibility?
Answer: No. Brand-owned pages still receive about 5% to 25% of citations depending on the engine, and your site is where third-party claims get checked. It is necessary but not sufficient, which is why answer engine optimization now includes off-site work.

4. Is it true that two-thirds of ChatGPT’s top citations cannot be influenced?
Answer: Ahrefs reported that roughly 67% of ChatGPT’s top 1,000 cited pages fell outside traditional outreach. Educational pages, reviews, news, and blog articles, about 32.3%, were the influenceable share.

5. Which earned media should I prioritize?
Answer: Start with sources AI engines already cite in your category: review platforms, educational content, and a short list of authoritative publications. Wire services and major national outlets dominate news citations for OpenAI models.

6. How do I measure whether digital PR is improving my AI citations?
Answer: Track a fixed set of buyer prompts on ChatGPT, Claude, Perplexity, and Gemini each month, and record whether your brand is cited and from which source.

If you want to see which third-party sources are shaping AI answers about your brand today, that is exactly what we cover in a free AI Visibility Audit.