# How to get named in Perplexity answers

> Allow PerplexityBot, keep your Google rankings healthy, publish quotable pages and win list placements. A practical guide with sourced data.

Source: https://www.fame.so/post/get-named-in-perplexity  ·  Fame Team  ·  November 3, 2026

## Key takeaways

- Allow PerplexityBot in robots.txt and permit its published IP ranges. Perplexity documents both as requirements for appearing in search results.
- Classic SEO carries more weight here. Ahrefs measured far higher overlap with Google results for Perplexity than for ChatGPT.
- Being retrieved is not the same as being cited or named, so track all three.
- Lists, directories and brand pages all appear in Perplexity's citations. Vendor data suggests a fairly even split.

To get named in Perplexity answers, allow PerplexityBot and its IP ranges, rank well in Google for buyer questions, publish pages that name your company and state specific facts, and earn placement on the lists Perplexity already cites. Then check the same questions weekly. Nobody can guarantee a mention, because answers vary and retrieval changes.

## How does Perplexity build an answer?

Perplexity's [help center](https://www.perplexity.ai/help-center/en/articles/10352895-how-does-perplexity-work) describes three steps: it interprets the question, searches the web for information, and condenses what it finds into a conversational answer. It also says every answer includes numbered citations linking to original sources.

That means your job has two parts. Your page has to be found during the search, and it has to contain something worth using in the answer. Being named depends on a third thing: the page has to give a reason to mention your company by name.

## How do you make sure Perplexity can reach your site?

Perplexity's [bot documentation](https://docs.perplexity.ai/guides/bots) names two user agents.

User agentJobControlPerplexityBotSurfaces and links websites in Perplexity search results; not used to crawl for foundation modelsAllow it in robots.txt and permit requests from its published IP rangesPerplexity-UserFetches a page when a user's question calls for it; not used for general crawling or trainingGenerally ignores robots.txt because a user triggers it

Follow these steps:

- Check yoursite.com/robots.txt for rules that block PerplexityBot or block all bots.
- Check your firewall and CDN rules. Perplexity recommends matching each user agent against its own IP list and refreshing rules from its JSON endpoints, because the ranges change.
- If you use Cloudflare, read Perplexity's note that Bot Fight Mode cannot be bypassed with custom WAF rules, and decide whether that setting is right for you.
- Allow up to 24 hours for robots.txt changes, per Perplexity's documentation.
- Load an important page with scripts turned off. If the key facts disappear, a crawler may miss them too.

## Do Google rankings help you in Perplexity?

The available data says they probably help a lot. [Ahrefs compared about 3,311 short-tail queries](https://ahrefs.com/blog/chatgpt-google-citations/) in September 2025 and reported that 65.07% of Perplexity's cited URLs overlapped with Google's top 10, and 80.58% of its cited domains. ChatGPT's figures were 10.00% and 31.80%. The author notes the numbers come from different datasets, so they are not perfectly comparable, and they are over a year old.

The takeaway for B2B teams is that for Perplexity, ordinary SEO work likely does double duty. Find the Google results for your tracked buyer questions. If you are absent from page one for a question your page is meant to answer, fix that page and its internal links first. [Fame's guide to Google AI features](https://www.fame.so/post/google-ai-overviews-b2b) covers the fundamentals, and they overlap heavily.

## What makes Perplexity name a company rather than just cite a page?

Being on the page is not enough. In [Ahrefs' self-promotion experiment](https://ahrefs.com/blog/self-promotional-content-ai-seo-experiment/), which ran 9,886 tracked answers across four assistants, Perplexity left 76% of pages it found uncited, against 61% for ChatGPT. And among answers that cited a conference page, 43% still did not mention the brand. The experiment is small and single-brand, but the gap it shows is real enough to plan for.

To close that gap, write pages that make the recommendation easy:

- Put the company name in the same sentence as the claim. "Acme routes freight claims in under a day" survives extraction better than "our platform speeds things up."
- Say who you are for and who you are not for.
- State real prices or the factors that set them.
- Give a named comparison with competitors, including where they are stronger.
- Attach dates and sources to numbers. The [GEO paper](https://ar5iv.labs.arxiv.org/html/2311.09735) tested Perplexity directly on a 200-query subset and found keyword stuffing did about 10% worse than baseline, while its top methods overall were adding quotations, statistics and citations.
- Match the question closely. Ahrefs saw its test brand in 66.4% of "best SEO conferences 2026" answers but only 15.8% of "best marketing conferences 2026" answers. The author calls query fit a hypothesis, but a page about a broad category is rarely the best answer to a narrow question.

## Where else does Perplexity look?

According to [Analyze AI's B2B study](https://www.tryanalyze.ai/blog/state-of-ai-search-in-b2b-2026), a vendor analysis of 22,295 answers, Perplexity and Google AI Mode spread citations fairly evenly across brand sites, lists and editorial content, while ChatGPT leans more toward brand sites. Analyze also found Perplexity cited a source in 93.2% of answers, and that it named a brand five or more times in 10.6% of answers, against 5.6% for ChatGPT. So one Perplexity answer often has room for several vendors.

Analyze reported a further useful pattern. When an answer cited a directory page, the mention rate was 60.2%, against 36.3% without one. Community citations were associated with lower mention rates. These are unadjusted comparisons, so they show association only, but they suggest where to look first.

A simple way to act on this:

- Run your 20 tracked questions in Perplexity and open every citation.
- Group them by type: competitor site, list, directory, review site, editorial or community.
- Claim and correct any directory and review profiles where you belong.
- Contact list editors only where you genuinely fit, with a specific correction or evidence they can check.
- Pitch editorial sources with original data rather than with a request for a mention.

Avoid paying for low-quality list placements or faking community posts. Besides being poor practice, these placements are easy for an informed buyer to see through.

Repeat the review monthly. Citations move, new lists appear, and a source that mattered in one quarter may fade by the next. Keep a short log of each source, the contact, what you asked for and what changed, so that you never send the same editor the same request twice.

## How do you measure Perplexity visibility?

For each tracked question, record three things separately: was your page in the sources, was it cited for a claim, and was your company named. Note the vendors named instead.

Run each question several times. Analyze AI found a brand mentioned in one same-day observation was mentioned again about 83% of the time, so day-to-day answers have some stickiness, but [Ahrefs' stability research](https://ahrefs.com/blog/how-stable-are-ai-citations/) on other engines shows heavy citation churn. That study did not report Perplexity on its main table, so do not assume its engine figures apply. Your own weekly log is the better guide. The method is in [how to track AI visibility](https://www.fame.so/post/track-ai-visibility), and the [share of answers calculator](https://www.fame.so/tools/share-of-answers-calculator) will turn your counts into one number.

Also separate prompted and unprompted results. Analyze found that naming the brand in the prompt adds about 60 percentage points to mention rates. "Is Acme good?" tells you little about whether a buyer who has never heard of Acme will find it.

## What should you do this week?

- Monday: check robots.txt and firewall rules for both Perplexity user agents.
- Tuesday: write 20 buyer questions, with no brand names in most of them.
- Wednesday: run them in Perplexity and log named, cited and competitor names.
- Thursday: improve the one page closest to winning, with specifics near the top.
- Friday: claim or correct one directory or review profile that Perplexity cited.

If you want this run for you, [Fame Search](https://www.fame.so/search) is Fame's paid service at $2,000 a month, covering weekly tracking across Perplexity, ChatGPT, Claude and Gemini, plus one site action a day with your approval. Fame's own site is the only result it can show so far, and that is no forecast of yours.

## FAQ

**Does Perplexity use my content to train models?**

Perplexity's bot documentation says PerplexityBot is not used to crawl content for AI foundation models, and that Perplexity-User is not used for general crawling or for training models.

**Can I block Perplexity-User with robots.txt?**

Perplexity says Perplexity-User generally ignores robots.txt rules because a user triggers the fetch. If you need to control it, review the documentation and your firewall rules rather than relying on robots.txt alone.

**Why does Perplexity cite my page but not name my company?**

The page may support a general claim without giving a reason to recommend you. Ahrefs found answers can cite a page and still recommend others. State clearly in the page who you are, what you do, who it fits and how you compare.

**How often should I check Perplexity?**

Weekly is a practical rhythm. Ask each question several times, because single checks are unreliable for any AI assistant.