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Get Found with AI: How to Show Up in ChatGPT, Claude, Gemini and More
Getting found with AI means your business comes up when someone asks ChatGPT, Claude, Gemini, Grok, Perplexity or Google's AI for help. This guide covers what actually drives that, what doesn't, and how to check where you stand today.
TL;DR
- There is no form to submit and nobody can promise AI placement. You improve your odds by being reachable, clear, and mentioned on other trusted sites.
- Each engine has its own crawler. Allow OAI-SearchBot for ChatGPT and Claude-SearchBot and Claude-User for Claude, and stay indexed and snippet-eligible in Google for AI Overviews and AI Mode.
- Vendor studies point to 'best X' lists, comparison pages, review sites and YouTube as heavily cited sources.
- In current data, schema markup and llms.txt look like basic upkeep. They don't seem to move citations.
- Test each engine separately and log repeat runs, because answers change from run to run and engines share few sources.
How do I get my business found by AI?
Make your site readable by each AI engine's search crawler. Publish pages that directly answer the questions buyers type. Get mentioned on the third-party pages AI tools cite, like "best of" lists, review sites and YouTube. Keep your business facts identical everywhere. Then test each engine on its own. Nobody can guarantee placement.
I'll say that last part plainly because it matters: I can't promise any placement, and neither can anyone else. OpenAI's crawler documentation describes bots and search features. It doesn't describe a sign-up form. What you can do is remove the reasons an AI would skip you, and give it good reasons to pick you. The rest of this guide shows how.
What does "getting found with AI" actually mean?
It means three different things: being named, being linked, and being suggested as a choice. They don't always happen together, so it helps to track them separately.
| Outcome | What it looks like | Why it matters |
|---|---|---|
| Mention | The AI names your business in its answer | Builds awareness, even without a click |
| Citation | The AI links one of your pages as a source | Sends visitors and adds trust |
| Recommendation | The AI suggests you as an option to choose | Closest to a real lead |
A mention without a link is common. One small vendor dataset shared on X looked at about 1,900 answers. It found that when an engine named a brand, it linked to that brand's site 23% of the time on ChatGPT, 32% on Google AI Overviews and 39% on Perplexity (vendor data). It's a small sample, but the point holds. Being named and being linked are separate wins. For a deeper definition, see what AI search visibility is.
How do AI tools decide which businesses to show?
For most buying questions, the AI runs a live search, reads a handful of pages, and writes its answer from them. Your job is to be in the pages it pulls and to be easy to quote.
Google describes this openly. Its AI features use retrieval-augmented generation, relying on core Search ranking systems to retrieve relevant, up-to-date web pages from the Search index . And both AI Overviews and AI Mode may use a "query fan-out" technique, issuing multiple related searches across subtopics and data sources (Google: AI features and your website). In practice, one question from a buyer can turn into many searches behind the scenes. So covering the related sub-questions matters, not just the main keyword.
The research behind the term "GEO" points the same way. The original paper found that its methods can boost source visibility by up to 40% in generative engine responses , and that including citations, quotations from relevant sources, and statistics can significantly boost source visibility (arXiv 2311.09735). The authors also found that results depend on the topic. A newer 2026 paper adds a warning: isolated text-level modifications are insufficient to reliably increase citation visibility (arXiv 2604.19113). Real facts and real sources help. Wording tricks don't. If you want the full background, read my guide to generative engine optimization.
Each engine reads different sources
Short answer: there isn't one AI index. Each assistant has its own crawler or search partner, so you have to check each one.
| Engine | Main way it finds you | First thing to check |
|---|---|---|
| ChatGPT | OAI-SearchBot and ChatGPT search | robots.txt allows OAI-SearchBot |
| Claude | Claude-SearchBot, Claude-User, web search results | Both bots allowed, and your site is indexed on Brave |
| Google AI Overviews, AI Mode, Gemini | Google Search index | Indexed and eligible for snippets |
| Perplexity | Its own crawler (PerplexityBot) | robots.txt allows PerplexityBot |
| Grok | Web results plus posts on X | An active, consistent X presence |
How little the engines overlap surprises most owners. One study relayed on X found that only 11% of sources overlapped between ChatGPT and Perplexity, and 13.7% between AI Overviews and AI Mode. Showing up in one engine tells you little about the others. I break down each one in separate guides: ChatGPT, Claude, Gemini, Perplexity, Grok and Google AI Overviews.
Step 1: Let the right AI crawlers in
Short answer: allow each engine's search crawler in robots.txt and in your firewall. Training crawlers are a separate choice and don't control whether you appear in answers.
This is where a lot of advice goes wrong, including one of the top-ranking guides I reviewed. It tells you to let GPTBot in so you can be found. But GPTBot is OpenAI's training crawler. The crawler that matters for ChatGPT answers is OAI-SearchBot. OpenAI says OAI-SearchBot is used to surface websites in ChatGPT's search features, and sites that are opted out of it will not be shown in ChatGPT search answers, though they can still appear as navigational links . OpenAI also notes that it can take about 24 hours from a robots.txt update for its systems to adjust (OpenAI crawler docs).
Anthropic works the same way. ClaudeBot collects public web content that may be used to train Anthropic's models, and if you block it, Anthropic will exclude your site's future content from AI training datasets (Search Engine Land on Anthropic's update). Claude-SearchBot and Claude-User are the bots that let Claude read and surface your pages for users. Anthropic also warns that blocking by IP address may not work correctly or persistently guarantee an opt-out, as doing so impedes its ability to read your robots.txt file (Anthropic support).
Here's what to check:
- robots.txt: Allow OAI-SearchBot, Claude-SearchBot, Claude-User, PerplexityBot and Googlebot. Decide on GPTBot and ClaudeBot (training) on purpose.
- Firewall and CDN: Bot protection can block AI crawlers even when robots.txt allows them. Many domains allow GPTBot in robots.txt but block it via Cloudflare, Akamai or AWS WAF with 429 rate limits. Check your server logs for these user agents.
- Google's AI control: Search Console has a setting for generative AI features. Including your site is the default control for all properties . If someone changed it, links to your site and your site's content won't appear in Search generative AI features (Search Console Help).
- Public, plain HTML: Put key facts (services, prices, areas served, hours) in page text. Don't hide them behind logins, PDFs or images.
My full walkthrough, with copy-ready rules, is in how to allow AI crawlers in robots.txt.
Step 2: Publish pages that answer the buyer's exact question
Short answer: for every important question a buyer asks an AI, have one page on your site that answers it in the first two sentences, with specific facts.
Your own site matters more than many "AI SEO" posts suggest. In BrightLocal's study of 200,875 local AI searches (relayed on X), 93% of unique cited domains were individual business websites, and those sites earned 42% of citations. That's one vendor's study, but it lines up with a single-client B2B case that tracked 15,000 answers across five engines. In that case, 85% of all citations went to third-party pages. Yet 87% of answers that mentioned the client cited the client's own site, and a page that closely matched the prompt predicted a mention. It's one client, so read it as a strong hint, not a law.
Pages worth building:
- Pricing pages with real ranges and what changes the price.
- "X vs Y" and "alternatives" pages that compare you fairly with named options.
- "Best X for Y" pages for the specific buyer types you serve.
- Service pages for each service and each market you actually serve.
- FAQ answers built from questions real customers ask you.
How to format them:
- Put the answer in the first one or two sentences under each heading.
- Use one section per question, and make each heading the question itself.
- Use specific numbers, dates and named sources. The GEO paper found statistics and citations helped.
- Put comparisons in real HTML tables, not images.
- Show a real author and an honest "updated" date, and keep them accurate.
If your industry has its own buying questions, see my examples for accountants and veterinarians.
Step 3: Get onto the pages AI already cites
Short answer: AI answers lean on "best of" lists, comparison pages and review sites. Find the ones cited for your prompts and earn an honest spot on them.
The vendor data here is consistent, even though each study has its own bias:
- Ahrefs, summarizing 14 studies (vendor): "Best X" listicles were 43.8% of the page types ChatGPT cites. The same summary says 28.3% of ChatGPT's most-cited pages had no Google visibility, and that ChatGPT cites about half of the URLs it retrieves.
- A roughly 400M-citation analysis relayed by Search Engine Land found 63% of citations pointed to listicles.
- AirOps (vendor, 81 B2B categories): ChatGPT, Perplexity and Claude sent 52 to 72% of citations to off-site product and comparison pages, and 16 to 21% to review platforms.
- Omnius (vendor, mostly B2B software): 17.7% of cited URLs contained "best-", 5.2% contained "-alternative" and 5.1% contained "-vs-".
- For local businesses, BrightLocal data relayed on X named Yelp as the second most common source, and said ChatGPT barely used Google Business Profile.
What to do with this:
- Run your buyer prompts and write down every third-party page that gets cited.
- Claim and complete your profiles on the review sites and directories that show up (for example Yelp, Clutch, G2 or Capterra, depending on your field).
- Ask the authors of cited lists to review you, and give them accurate, verifiable facts.
- Earn real reviews by asking happy customers. Never buy or fake them. The FTC has a final rule banning fake reviews and testimonials.
If a competitor keeps showing up and you don't, this step is usually why. I go deeper in why ChatGPT recommends my competitor.
Step 4: Keep your business facts identical everywhere
Short answer: use the exact same name, phone, service area, hours and one-line description on your site, your profiles and every directory.
AI answers are unstable, so consistency helps you keep showing up. BrightLocal data relayed on X found only 20 to 33% of results overlapped on a repeated search, and a business seen once reappeared about half the time. When your facts match everywhere, every source an engine pulls agrees about who you are.
- Write one master description and paste it everywhere. Don't rewrite it per site.
- Match your name and phone number exactly across your site, Google, Bing Places, Apple and directories.
- Mark up your site with LocalBusiness or Organization schema, and use sameAs links to your real profiles. See schema for AI search.
- Set up Apple's listing too. Here's my Apple Business Connect setup guide.
Step 5: Use YouTube, and be careful with Reddit
Short answer: YouTube shows up often in AI answers and is worth a basic presence. Reddit matters a lot for Google's AI and much less for some assistants.
In the Ahrefs summary, YouTube mentions had the highest correlation (0.737) with AI brand visibility. A correlation isn't proof that one causes the other, but it's a strong signal. AirOps found Reddit in 39 to 52% and YouTube in 38 to 47% of AI Overview and AI Mode answers, while Claude rarely cited either. Omnius, looking mostly at software, found Reddit made up just 0.6% of citations and called it overhyped.
So the data is mixed. My practical read:
- Make short, honest videos that answer your top buyer questions. Use the question as the title.
- On Reddit, only take part where you can really help, and always disclose who you are.
- Judge it by your own prompt tests, not by hype.
Step 6: Cover Bing, Brave and the other indexes
Short answer: don't rely only on Google. Make sure Bing and Brave have indexed your important pages too.
Many practitioners recommend Bing Webmaster Tools, IndexNow and Bing Places for ChatGPT visibility. Be careful with the numbers you hear, though. A widely shared claim that 87% of ChatGPT citations match Bing's top results came with no source in the post. Submitting your sitemap to Bing is free and quick, so I'd do it anyway.
For Claude, our team's recent notes show its web results leaning on Brave Search. If Brave hasn't indexed your site, Claude may have a hard time citing it. Search Brave for site:yourdomain.com and see what comes back. For Google AI Overviews, AI Mode and Gemini, Google's own rule applies. To be a supporting link, your page must be indexed and eligible to appear in Google Search with a snippet . Read more in Google AI Mode for local businesses and ChatGPT vs Google local search.
What doesn't move AI visibility, based on current evidence?
Short answer: llms.txt files, schema markup used as a ranking trick, wording hacks and fake reviews. The first two are fine as basic upkeep. The last two can hurt you.
| Tactic | What the evidence says | My take |
|---|---|---|
| llms.txt | Mostly ignored in log data | Cheap to add, don't count on it |
| Schema markup | No meaningful citation lift found | Keep it for clarity and rich results |
| Wording tricks | Unreliable at scale in recent research | Add real facts instead |
| Fake reviews | Banned by the FTC | Never |
| "Guaranteed" AI rankings | No engine offers placement | Walk away |
On llms.txt, a post citing Ahrefs logs across 137,000 domains reported 97% of valid llms.txt files got zero requests in May. The same post quotes Google saying no AI text files are needed. Another practitioner shared an experiment calling the evidence for llms.txt "GEO astrology". To be fair, one developer team reported Claude fetching their llms.txt. My full view is in llms.txt for small business.
On schema, Google says there are no additional technical requirements and no special schema.org markup required to appear in its AI features (Google's generative AI guide). Ahrefs found schema had no meaningful impact on ChatGPT citations. It still helps machines read your facts correctly, so keep it accurate and move on.
How do I check whether AI recommends my business?
Short answer: run a fixed set of real buyer prompts in every engine, repeat them on different days, and track how often you show up rather than trusting one screenshot.
- Write 10 to 20 prompts in your buyers' words. Mix "best X for Y," "X vs Y," cost questions, and "near me" or city versions if you serve local markets.
- Use a fresh chat in ChatGPT, Claude, Gemini, Perplexity, Grok and Google AI Mode. Note whether web search was used.
- Record three things for each run: businesses named, your position in the list, and every cited URL.
- Repeat each prompt at least three times on different days. Answers change from run to run.
- Score each engine separately. Because sources barely overlap, one blended score hides problems.
- Turn cited URLs into your to-do list. Every list, review site or comparison page that keeps showing up is a target for Step 3.
I lay out the full method in how to check if AI recommends your business, and there's a printable version in my AI visibility audit checklist.
How long does it take, and what does it cost?
Short answer: there's no honest timeline, and costs range from free (doing it yourself) to monthly fees for ongoing work.
Some fixes take effect quickly. OpenAI says robots.txt changes take about a day to reach its search systems. But access only makes you eligible. Being mentioned depends on your pages, your third-party footprint and each engine's own choices, and none of that is on a fixed schedule. Be wary of anyone who quotes you a date. For real price ranges and what drives them, see what AI search optimization costs.
Is this different from regular SEO?
Short answer: it overlaps a lot, but it isn't identical.
Google says the best practices for SEO continue to be relevant because its generative AI features are rooted in its core Search ranking and quality systems . The differences show up outside Google. ChatGPT, Claude, Perplexity and Grok use their own crawlers and search sources. And AI answers lean much harder on third-party lists and reviews than a classic results page does. Good SEO is the base. The steps above cover the rest. More in GEO vs SEO.
Should I do this myself or hire help?
Short answer: you can do steps 1, 2 and 4 yourself with this guide. Outside help is most useful for ongoing testing across engines and for earning third-party mentions.
If you hire someone, ask how they test, which engines they track, and how they report run-to-run variance. Walk away from guarantees. My buyer's checklist is in how to choose an AI search optimization agency. You can also see how Get Found with AI works, browse our services, or read more on the blog.
How I put this together
On October 22, 2026, I searched "get found with ai" in the US and reviewed the top-ranking articles (I skipped service homepages):
- Stamats: Want to Get Found in AI Search? Start With Really Good SEO. It's a solid "SEO first" piece about answering detailed questions and running content gap checks. It doesn't name crawlers, cite data, or explain how engines differ.
- Inc.: The Ultimate Guide to GEO. It tells a good story and suggests prompting chatbots yourself. It's light on technical access, local signals, and how much answers vary.
- SEObot: How to Get Found in AI Search, a GEO Playbook. It covers crawlability and CDNs, but it's over a year old, refers to retired names like Google Bard, and treats GPTBot (a training bot) as the key to being found.
This guide covers what those three do, plus what they leave out: each engine's actual search crawler, training versus search bots, Google's Search Console AI control, labeled vendor data on which pages get cited, how little engines overlap, which popular tactics lack evidence, and a repeatable test. I checked technical claims against OpenAI, Anthropic, Google, the FTC, schema.org and the GEO paper. I label vendor studies as vendor studies, and none of them is settled fact.
Frequently asked questions
Can I pay to get my business recommended by ChatGPT?
Not inside the answers. OpenAI's documentation describes crawlers and a search feature, not a submission form or paid directory. OpenAI does run a separate crawler for pages submitted as ChatGPT ads, but that is advertising, not the organic answer. Anyone who guarantees a ChatGPT recommendation is promising something nobody controls.
Does blocking GPTBot hide my business from ChatGPT?
No. GPTBot collects content that may be used to train OpenAI's models. OAI-SearchBot is the crawler for ChatGPT's search features, and OpenAI says sites that opt out of OAI-SearchBot will not be shown in ChatGPT search answers. You can block GPTBot and still allow OAI-SearchBot.
Do I need an llms.txt file to get found by AI?
Probably not. Google says you don't need AI text files. Ahrefs log data shared on X found 97% of valid llms.txt files got zero requests in a month. One developer reported Claude fetching the file. It's cheap to add, but don't expect it to drive citations.
Does schema markup help AI recommend my business?
Google says no special schema is needed to appear in AI Overviews or AI Mode, and an Ahrefs study found schema had no meaningful impact on ChatGPT citations. Schema is still useful for rich results and for stating your business facts clearly, so treat it as basic upkeep rather than a lever.
How do I check if AI tools recommend my business?
Write 10 to 20 prompts your buyers would really type. Run each one in ChatGPT, Claude, Gemini, Perplexity, Grok and Google AI Mode in a fresh chat. Record which businesses are named and which pages are cited. Repeat on different days, and track how often you show up rather than trusting one result.
How long does it take to show up in AI answers?
There is no honest timeline. OpenAI says robots.txt changes can take about 24 hours to affect its search systems, but that only covers access. Whether you get mentioned depends on your pages, third-party mentions and the engine itself, and results vary from run to run.
Is getting found with AI different from SEO?
It overlaps a lot. Google says SEO best practices still apply because its AI features are rooted in its core Search ranking and quality systems. The differences are that other engines use their own crawlers and indexes, and AI answers lean heavily on third-party lists, reviews and comparison pages.
Sources
- OpenAI: Overview of OpenAI Crawlers
- Anthropic Support: Blocking Anthropic's bots
- Search Engine Land: Anthropic clarifies how Claude bots crawl sites
- Google Search Central: AI features and your website
- Google Search Central: Optimizing your website for generative AI features
- Google Search Console Help: Search generative AI control
- Aggarwal et al., GEO: Generative Engine Optimization (arXiv 2311.09735)
- Think Before Writing: Feature-Level Multi-Objective Optimization for Generative Citation Visibility (arXiv 2604.19113)
- Ahrefs (vendor study) via Tim Soulo on X
- BrightLocal local AI search study (vendor) via Alex Groberman on X
- BrightLocal findings (vendor) relayed on X
- AirOps citation study (vendor) on X
- Omnius citation analysis (vendor) on X
- Search Engine Land on listicle citations, on X
- Single-client B2B citation case on X
- Brand mention vs link rates (small vendor dataset) on X
- Source overlap between AI engines (cited study) on X
- Ahrefs llms.txt log data and Google guidance, relayed on X
- llms.txt experiment shared by Aleyda Solis on X
- Evil Martians on Claude fetching llms.txt, on X
- Unsourced Bing overlap claim on X
- FTC: Final rule banning fake reviews and testimonials
- schema.org: LocalBusiness
- Bing Webmaster Tools
- IndexNow
- Stamats: Want to Get Found in AI Search?
- Inc.: The Ultimate Guide to GEO
- SEObot: How to Get Found in AI Search, a GEO Playbook
