Skip to content

Perplexity vs ChatGPT for Brand Visibility: How They Cite, and How to Win Each

By the AEOeye editorial team·Updated Oct 3, 2026

A laptop on a wooden table showing an AI chat interface on its screen
Photo by Matheus Bertelli on Pexels

The short answer

Perplexity and ChatGPT both fetch live web pages and cite them, but they lean on different sources. In one 2025 preprint, 93.5% of the links ChatGPT cited for well-known brands were third-party media and none were social, while Perplexity's mix included 23.8% social. Neither publishes ranking weights. Let both search bots in, answer questions directly, and get named on independent sites.

Treating "AI search" as one thing is a common mistake. Perplexity and ChatGPT cite different kinds of pages, so a brand can be prominent in one and missing from the other. The overlap is small: a 2025 preprint ran the same ranking-style queries through both engines' APIs and measured a Jaccard index of 0.088 in consumer electronics and 0.096 in automotive, meaning only about 9% to 10% of the combined domain pool was shared.

This page rests on vendor documentation (as of October 2026), one preprint, one Columbia Journalism Review study and our own crawler study. Many comparison posts quote exact ranking weights with no primary source. Neither company publishes them, so we left those numbers out.

How do Perplexity and ChatGPT differ for brand visibility?

They differ in which sources they favor, how visibly they cite, and how much access publishers grant their bots. Both are retrieval-augmented generation systems, meaning they retrieve outside pages and write an answer from them.

Our position: run a shared plan plus two engine-specific ones. Access and clear answers help in both. ChatGPT's links skewed to third-party pages, while Perplexity also drew on brand, video and community sources.

Where does each engine get its sources?

Each engine has its own search crawler and a separate fetcher that runs when a person asks. You control the first with robots.txt; the second is only partly governed by it.

  • OAI-SearchBot (ChatGPT): OpenAI says it surfaces sites in ChatGPT search, and opted-out sites "will not be shown in ChatGPT search answers," though they can still appear as navigational links.
  • GPTBot (ChatGPT): used for training only. OpenAI says each robots.txt setting is independent, so blocking it is a training choice, not a search choice.
  • ChatGPT-User: runs for user actions; OpenAI says robots.txt rules may not apply, and it is not used to decide Search appearance.
  • PerplexityBot: Perplexity says it surfaces and links sites in Perplexity results and is not used for foundation-model training.
  • Perplexity-User: fetches pages for a person's question and, per Perplexity, generally ignores robots.txt.

Both vendors say robots.txt changes take about 24 hours to apply.

One question can trigger several searches: OpenAI describes agentic search that keeps searching, and Perplexity's Agent API guide describes a bounded multi-turn loop. Your page may be retrieved for a sub-question such as price.

Which kinds of sources does each engine prefer?

In the 2025 preprint, ChatGPT's cited links were almost all earned media, meaning reviews, news and other independent sites, while Perplexity mixed in brand sites and social platforms. The paper is an unreviewed arXiv preprint that queried sonar-pro and gpt-4o-search-preview through their APIs in 2025, so read it as one dataset. For ranking-style brand queries it reports these link shares:

  • Well-known brands: ChatGPT 93.5% earned, 6.5% brand, no social. Perplexity 67.4% earned, 8.8% brand, 23.8% social.
  • Niche brands: ChatGPT 95.1% earned, 4.9% brand, no social. Perplexity 73.4% earned, 9.1% brand, 17.5% social.

In car queries, YouTube was Perplexity's most frequent source; ChatGPT leaned on Wikipedia, AP News and review sites.

The takeaway: brand-owned domains were only 4.9% to 6.5% of ChatGPT's links here. Reviews, roundups and encyclopedic mentions did the work, so being named there can matter more than polishing your homepage.

How does each engine show its citations?

Both attach links to answers, but their API documentation exposes different details. Consumer apps may differ, so check the interface yourself.

OpenAI's web search guide says inline citations carry the URL, title and location of the cited source. Its sources list shows every URL the model consulted, and the number of sources is often greater than the number of citations. Being read is not the same as being cited.

Perplexity's web search documentation lists url, title, snippet, date and last_updated for each result, with recency filters from the past hour to the past year.

Citations are not proof of accuracy. The Tow Center's March 2025 test found Perplexity answered 37 percent of its queries incorrectly. It found ChatGPT biased toward wrong answers over no answers, and several tools cited syndicated copies instead of originals. Check which URL is cited for your brand and whether the facts match your pricing page.

A woman typing on a laptop with the Google homepage open beside a glass of orange juice

Do publishers block Perplexity more than ChatGPT?

Yes, in our sample. In AEOeye's crawler access study (October 2026, 384 sites), 35 sites (9.1%) disallowed PerplexityBot on their homepage, against 16 (4.2%) for OAI-SearchBot. Among 38 news publishers it was 26 (68.4%) against 11 (28.9%).

The block sets are nested. All 16 sites that blocked OAI-SearchBot also blocked PerplexityBot, and 19 blocked only PerplexityBot. For brands the numbers are tiny: 1 of 193 SaaS sites blocked either bot.

Our reading: your own robots.txt is rarely the problem. We have not measured whether blocked third-party sources change what each engine cites.

Limits: a convenience sample, one fetch per site, main host only. A block is a request. RFC 9309 states that its rules are "not a form of access authorization," and the Tow Center found Perplexity identified all ten paywalled National Geographic excerpts it was given although the publisher had disallowed its crawlers. Per-site data is in our CSV; our crawler directory explains each bot.

How do you get cited by Perplexity?

Make your page fetchable by PerplexityBot, put a checkable answer in the raw HTML, keep real dates, and earn presence where Perplexity's broader source mix looks, including video and community threads. Our Perplexity playbook has all seven steps; the short version:

  1. Allow PerplexityBot in robots.txt and permit its published IP ranges in your WAF or CDN.
  2. Check the raw HTML. View source and search for your key sentence; if it is missing, render it on the server.
  3. Lead each section with a 40 to 60 word answer that names your brand, because its search results carry snippets, not whole pages.
  4. Show honest dates. Update the facts first, then the date. No Perplexity document we found states how freshness is weighted.
  5. Be present on YouTube and in community threads your buyers read, with specifics instead of promotion.

Verify by asking the question and reading which sources are cited.

Allow OAI-SearchBot, then concentrate on being named in the independent pages ChatGPT cites for your buyer questions. Your own site is necessary but rarely enough. Our ChatGPT SEO guide covers the on-site work.

  1. Allow OAI-SearchBot and OpenAI's published IP ranges. Keep GPTBot as a separate training decision.
  2. List the domains cited when you ask ChatGPT your unbranded buyer questions. Those roundups, reviews and encyclopedic pages are your targets.
  3. Get accurate coverage there with facts reviewers can verify. You cannot buy a slot.
  4. Check bot protection. In our study 24 of 88 e-commerce and consumer homepages challenged or blocked our self-identified crawler. A WAF that cannot tell a search bot from a scraper can quietly hide you.
  5. Answer directly on your own page.

A close-up of a Lady Justice statue holding a pair of scales

What works for both engines, and how do you check?

Four habits help in both engines: let the search bots in, answer in the first lines, keep facts consistent across the web, and test the same questions repeatedly.

  • Consistent facts. Use the same name, pricing and claims everywhere, so retrieval finds one story.
  • Answer-first pages. One question per section, the answer in the first two sentences, one sourced number per claim.
  • Repeat tests. Run 10 to 15 unbranded buyer questions in both engines on different days and record who is named and which domains are cited. Your share of voice is the percentage of answers that name you.
  • Track clicks separately. A citation is not a visit; track AI referrals in GA4.

AEOeye's free audit asks ChatGPT three buyer questions and shows the full answers and the competitors named. The $29 full report adds Perplexity, Claude, Gemini and Google AI across ten questions. For daily monitoring of hundreds of prompts, trackers such as Profound, Peec AI and Otterly fit better.

FactorPerplexityChatGPT
Search crawler (robots.txt token)PerplexityBotOAI-SearchBot
User-triggered fetcherPerplexity-User (generally ignores robots.txt)ChatGPT-User (robots.txt rules may not apply)
Training crawlerNone named in its crawler docs; PerplexityBot is not used for foundation-model trainingGPTBot, a separate setting from search
Sites blocking the search crawler (AEOeye study, n=384)35 (9.1%)16 (4.2%)
News publishers blocking it (n=38)26 (68.4%)11 (28.9%)
Cited-link mix, well-known brands (2025 preprint)67.4% earned, 8.8% brand, 23.8% social93.5% earned, 6.5% brand, no social
What its API docs expose about resultsPer-result date and last-updated date; recency filtersInline citations plus a separate list of all sources consulted
Ranking weights publishedNone foundNone found

Key takeaways

  • In one 2025 preprint, ChatGPT's cited links were 93.5% earned media for well-known brands; Perplexity's included 23.8% social.
  • The two engines shared only about 9% to 10% of cited domains there, so winning one does not win the other.
  • Neither company publishes ranking weights; treat any quoted percentage without a primary source as a guess.
  • In our 384-site study, 35 sites blocked PerplexityBot and 16 blocked OAI-SearchBot; for brands the rate was near zero.

See how AI talks about your brand

Run a free AI visibility audit in under a minute.

FAQ

Is Perplexity or ChatGPT better for getting my brand recommended?+

Neither is better; they reward different things. In a 2025 preprint, ChatGPT's cited links were almost all third-party media, so mentions on reviews and roundups matter most there. Perplexity also cited brand sites, video and community pages. Most brands should do the shared work first, then add one engine-specific tactic each, and test both with the same questions.

Why does my brand show up in ChatGPT but not in Perplexity, or the other way round?+

The two engines pull from largely different pages. One preprint measured domain overlap of roughly 0.09 to 0.10 between them in two verticals. Check whether the relevant bot can fetch your pages, then look at which third-party domains each engine cites for your questions. If a competitor is cited through a source you are absent from, that is your gap.

Does blocking GPTBot or PerplexityBot remove me from answers?+

Blocking OAI-SearchBot removes a site from ChatGPT search answers, per OpenAI, though it can still appear as a link. GPTBot is a separate training setting. PerplexityBot is the crawler Perplexity says surfaces sites in its results. Robots.txt is a request, not enforcement, and user-triggered fetchers such as Perplexity-User generally ignore it.

Does being cited in Perplexity or ChatGPT send me traffic?+

Not reliably, and we have no first-hand click data to quote. A citation puts your link in the answer, but the reader may never click it. Measure referral sessions in your analytics and compare them with how often each engine names you. Our GA4 guide shows how to separate AI referrals from other traffic.

How do I compare my brand across both engines without a paid tool?+

Write 10 to 15 unbranded buyer questions, such as the ones a customer asks before choosing a product in your category. Run each in both engines on two or three different days, since answers change. Record whether you are named, which URLs are cited, and who is recommended instead. A spreadsheet is enough to start.

Sources

Related