How to Get Your Business Recommended by AI (3 Gates)

To get ChatGPT, Gemini, Perplexity and other AI assistants to recommend your business, clear three gates in order. The engine must find you (crawlable, indexed, not blocked by your own firewall), understand you (what you sell, for whom, at what price, where), and see independent sources vouch for you. Our position: most businesses stall at the third. They don't have an AI problem; nobody independent has written about them.
What do AI engines need before they recommend your business?
They need three things: access to your pages, unambiguous facts about what you offer, and independent sources that agree you belong in your category. Check them in that order: the first two are quick fixes on your own site, and the third needs other people.
The prize is a handful of slots. In AEOeye's recommendation benchmark (892 engine answers; small, self-selected), answers named 2.9 competitors on average, and when the audited brand was ranked (147 times) it was first 71.4% of the time.
| Gate | Fastest check |
|---|---|
| 1. Findable | Open /robots.txt, read firewall logs, search your domain in Google and Bing |
| 2. Understandable | Ask an engine what you are, who it's for and what it costs |
| 3. Corroborated | Ask 10 unbranded buyer questions and read the sources cited |
Gate 1: can AI engines find and fetch your pages?
Yes, provided each engine's crawler can fetch your pages and they are indexed. As of October 2026, ChatGPT search uses OAI-SearchBot, Perplexity uses PerplexityBot, Claude uses Claude-SearchBot, and Google's AI Overviews, AI Mode and Gemini draw on Google's index. Each is a separate switch.
Keep training and retrieval apart. Per OpenAI, blocking GPTBot (training) doesn't remove you from ChatGPT search; blocking OAI-SearchBot keeps you out of ChatGPT search answers. Google-Extended doesn't affect Search inclusion, but Google says it governs whether Gemini Apps may use your content from Google's Search index to ground answers, so leave it open if Gemini matters. Our robots.txt blocks no AI crawler from public pages.
Brands rarely block these bots. In AEOeye's crawler access study (October 2026; 391 sites, a convenience sample), only 1 of 193 SaaS homepages blocked any AI retrieval bot in robots.txt. A likelier leak is bot protection: 24 of 88 e-commerce homepages (27.3%) answered our self-identified crawler with a 403, a 429 or a challenge page. That doesn't prove an engine's bot was refused, but rule it out first.
Four checks:
- Read /robots.txt, the file that tells crawlers what they may fetch (RFC 9309). A missing file means no restrictions; a server error makes compliant crawlers treat the whole site as off-limits.
- Check firewall and CDN logs for 403s and 429s to OAI-SearchBot, Claude-SearchBot and PerplexityBot, and allow-list them by user agent, plus the IP ranges OpenAI and Perplexity publish.
- Confirm key pages are indexed in Google Search Console and Bing Webmaster Tools. A stray
noindexornosnippetcan keep a page out of Google's AI features. - Keep key facts in server-rendered HTML. Vercel found in December 2024 that OpenAI's and Anthropic's crawlers don't execute JavaScript.
Engine-specific quirks: our guides to ChatGPT, Gemini and Perplexity.

Gate 2: can AI engines understand exactly what you offer?
Yes, once your pages state four facts in plain visible text: what you are, who it's for, what it costs and where you operate. An engine can only recommend what it can describe in a sentence, so give it that sentence, worded identically on every page and profile.
Specific beats adjectival. In the generative engine optimization (GEO) paper (KDD 2024), adding statistics, quotations and cited sources lifted a page's visibility in generated answers by 30–40% on one metric in a controlled benchmark, while keyword stuffing barely helped.
- Write one definition and reuse it. "Brand is a category for audience that outcome; plans start at price; we serve place." Don't be a "platform" on your homepage, a "tool" on LinkedIn and a "solution" in press releases.
- Answer the buyer's question in the first two sentences, in text: pricing with real numbers, honest comparisons, use-case pages. Keep them dated; link related pages.
- One canonical page per question. Near-duplicates blur your message: on 3 October 2026 we merged 165 overlapping aeoeye.com pages into 42, and this guide replaced three.
- Mark up what is visible. Organization markup with sameAs links helps Google disambiguate you. Google also says markup should match the visible text and that AI Overviews and AI Mode need no special schema or AI files; we publish an llms.txt because it's cheap, not because we've seen it move citations.
Gate 3: does anyone independent vouch for you?
Independent sources supply most of what AI engines cite, so a business nobody outside its own company names has little to be recommended on. Most businesses are stuck at this gate, and it's the only one you can't clear alone.
A September 2025 study compared search-enabled AI models with Google. AI answers leaned overwhelmingly on earned media (independent publications, review and comparison sites): for U.S. software queries, 72.7% of one model's citations were earned and 26.7% brand sites, against 45.4% and 43.7% in Google's results.
Wikipedia's notability guideline defines "independent": nothing by the subject or its affiliates counts, including its website and press releases. Invisibility, not hostility, is the usual problem: in that same sample the audited brand went unnamed in 735 of 892 answers, and 144 of the 157 mentions were positive.
Build your target list from the engines. Ask your ten buyer questions, open every cited source, note the domains that recur. Then:
- Get into lists that already get cited, with accurate, current facts and a reason to include you.
- Collect reviews on the platforms your category uses. Ask real customers; never buy them.
- Publish something worth citing: original data, a benchmark, a free tool. Our crawler study's per-site CSV is public for anyone to check.
- Answer questions where buyers ask them, as yourself, with disclosure.
More on earning mentions and on why AI recommends your competitors when a rival keeps getting named.

Does the playbook change for SaaS, local and e-commerce?
The gates stay the same; where the independent proof lives and which facts engines need change. SaaS lives on review sites and comparison lists, local businesses on Google Business Profile, online stores on product data and reviews.
| Business | Independent proof lives on | Fix first |
|---|---|---|
| SaaS | Review profiles (G2, Capterra), "best X" and "X vs Y" lists | Same category and pricing everywhere; a comparison page that admits your weaknesses |
| Local | Google reviews, local directories, local press | Complete Business Profile; name, address and phone identical everywhere |
| E-commerce | Marketplace and independent product reviews | Bot protection, product feed, product markup |
Local. Google says businesses with complete, accurate profiles are more likely to show in local results, and Gemini uses public Google Maps information, including ratings, hours and reviews. Don't assume Google rankings carry over: in the September 2025 study, domains cited for local-service queries overlapped with Google's by only 0.1% (IT support) to 20.6% (home cleaning).
E-commerce. In that study, 92.1% of one model's U.S. consumer-electronics citations went to earned media, so independent reviews outweigh your product page. Give engines product facts directly: Google says free listings can appear in Search and Gemini, and OpenAI documents a product feed for ChatGPT.

How do you know it's working, and what is a good baseline?
Ask the same 10 to 20 unbranded buyer questions in every engine before you change anything, log whether you are named and who else is, and repeat every four to six weeks. Your first run is the baseline; the trend is the result.
- Write questions buyers would type, with category, use case and constraint ("best invoicing tool for UK freelancers"), never your brand name.
- Run each in ChatGPT with search on, Gemini, Perplexity, Claude and Google AI Overviews or AI Mode, three times each, because answers vary.
- Log whether you're named, your position, competitors, sources cited and factual errors; re-run after each change.
Google says AI Overviews and AI Mode traffic is included in your overall Search Console totals. Bing Webmaster Tools' AI Performance report (public preview, launched February 2026) shows how often Copilot and Bing's AI summaries cite your pages.
A good baseline is clean gates, not a score: robots.txt open to search bots, no 403s or challenges in your logs, key pages indexed, one description everywhere, Organization markup matching the page. In our crawler study, 70.2% of 312 homepages had Organization-type markup and 60.9% had sameAs links; ours carries Organization, WebSite, SoftwareApplication and FAQPage.
Our free AI visibility audit asks ChatGPT three unbranded buyer questions and shows the real answers and competitors named; the full report ($29 as of October 2026) adds Claude, Gemini, Google AI and Perplexity, with ten questions. For daily monitoring, dedicated trackers such as Profound, Peec AI and Otterly fit better.
FAQ
How long does it take to get recommended by AI?+
Access fixes can show up within days; independent coverage can take months. OpenAI says its systems can take about 24 hours to adjust to a robots.txt change, but reviews, list placements and press happen at other people's speed. No one can promise a number of weeks or a guaranteed mention, so record your own baseline and re-test monthly.
What is a good AI visibility score?+
There is no standard scale. Tools differ in which engines they poll, how many prompts they sample and whether a passing mention counts like a first-place recommendation, so scores from different tools can't be compared. A better target is behavioral: named, with accurate facts, in most of the unbranded questions your best customers ask. Track the trend with one consistent method.
Do I need a Wikipedia page for AI to recommend my business?+
No. Wikipedia only keeps pages on subjects with significant coverage in reliable sources independent of them, so a page follows gate three rather than replacing it. Earn that coverage first: reviews, list placements and trade-press mentions are within reach of most businesses, and each one helps whether or not a Wikipedia page ever exists.
Do I need a separate plan for ChatGPT, Gemini and Perplexity?+
The three gates are shared, but the crawlers differ, so check each engine on its own. ChatGPT search uses OAI-SearchBot, Perplexity uses PerplexityBot, Claude uses Claude-SearchBot, and Gemini and Google's AI features draw on Google's index. Being named in one engine does not guarantee being named in the others, so run the same buyer questions through each.
Why does AI recommend my competitors and not me?+
Usually because independent sources name them more often, not because their product is better. Engines cite third-party lists, reviews and coverage far more than brand sites, so a competitor described the same way across several unrelated sources gets named first. Check the three gates, then read the sources the engines cite for your category: those are the pages you are missing from.
Sources
- 1.Google Search Central — AI features and your website
- 2.OpenAI — Overview of OpenAI crawlers
- 3.Anthropic Support — Does Anthropic crawl data from the web, and how can site owners block the crawler?
- 4.Chen et al. — Generative Engine Optimization: How to Dominate AI Search (arXiv, 2025)
- 5.Aggarwal et al. — GEO: Generative Engine Optimization (KDD 2024)
- 6.Microsoft Bing Webmaster Blog — Introducing AI Performance in Bing Webmaster Tools (February 2026)
Is AI recommending you?
Run a free AI visibility audit and find out in under a minute.