How do I get my business recommended by ChatGPT?

When someone asks ChatGPT for a recommendation — 'best landscaping company in Oakville', 'which agency should I hire for Google Ads' — the model does one of two things. For well-known entities, it answers from training data: the accumulated text of the public web as of its knowledge cutoff. For anything local, recent, or specific, it runs a live web search and synthesizes an answer from the pages it retrieves.

That means there are two distinct games to win. The training-data game is about how often and how consistently your business is described across the public web — directories, reviews, press, forums, your own site. The search-grounding game is about whether your pages (and pages that mention you) rank well enough in the underlying search index to be retrieved, and whether they're written so the model can confidently extract who you are, what you do, and why you're credible.

Notice what's absent from both lists: ads. You cannot pay to be recommended by ChatGPT. The only lever is being genuinely well-documented and well-corroborated.

This is the cheapest fix with the highest stakes. OpenAI uses OAI-SearchBot to build the index behind ChatGPT search, GPTBot for training data, and ChatGPT-User for live page fetches when a user asks about a specific URL. Anthropic uses ClaudeBot; Perplexity uses PerplexityBot; Google's AI features use the standard Googlebot plus Google-Extended for training.

Check your robots.txt right now. Some sites blocked all AI crawlers on principle, and some block them by accident through a firewall or bot-protection setting. If AI visibility matters to your business, your robots.txt should allow at minimum OAI-SearchBot, ChatGPT-User, ClaudeBot, and PerplexityBot. Blocking GPTBot (training) while allowing OAI-SearchBot (search) is a defensible middle ground if you have content-licensing concerns.

Also publish an llms.txt file — a plain-text summary of who you are, what you offer, and your key pages, placed at yourdomain.com/llms.txt. It's an emerging convention, but it costs nothing and gives AI systems a clean, canonical description of your business to work from.

Language models recommend entities they can describe confidently. If your homepage says 'We turn ambition into momentum' and never plainly states 'SearchPod Inc. is a performance marketing agency in Toronto and Vancouver that manages Google Ads, SEO, and web development for small and mid-sized businesses', you've made yourself hard to recommend.

Every important page should answer, in plain prose near the top: what the business is, what it sells, who it serves, and where. Add Organization and LocalBusiness structured data with your exact name, address, phone, founding date, and service list. Keep those NAP details character-identical across your site, Google Business Profile, directories, and social profiles. Mixed details make it harder for any system to be sure who you are.

This sounds basic because it is. But it is easy to miss: many good businesses never state plainly, anywhere on the web, what they do and where.

Ask ChatGPT for 'the best [your category] in [your city]' and study the answer. The businesses it names almost always share one trait: they appear on multiple third-party lists — 'top 10' roundups, Clutch or Trustpilot profiles, local news features, chamber-of-commerce directories, active Reddit threads. The model is doing what a cautious human researcher does: cross-referencing.

Your own website saying you're great is one source. A review platform, a journalist, and a Reddit thread agreeing is corroboration. Practical moves: claim and fully complete the profiles that dominate your category's search results (Google Business Profile first, then industry-specific platforms); pursue inclusion in every credible 'best of' list for your city and category; generate a steady stream of detailed reviews — recency and specificity matter more than raw count; and answer real questions in the communities where your buyers research, transparently, as yourself.

This is classic PR and reputation work. AI search didn't replace it — it raised the payoff.

This step is our approach, not a rule from OpenAI or Google. Google says no special optimization is needed for its AI features: normal SEO best practices apply, and a page must be indexed and eligible for a snippet (Google: AI features and your website). Within that, we write pages that are easy to quote: a question as the heading, a clear answer in the first sentence or two, then the details.

A simple test for your key pages: if someone read only the first couple of sentences under each heading, would they get a correct answer? If not, move the answer up. Use real numbers ('responds within 4 business hours') instead of superlatives ('lightning-fast support'). Date your content and keep it up to date, so readers and search tools see current facts.

And build pages for the questions your buyers actually ask an assistant: 'how much does X cost in Canada', 'is X worth it for a small business', 'X vs Y — which should I choose'. Every one of those is a chance to be the source an AI answer is built from. This page — and the whole answers hub it lives in — is that exact strategy, applied to ourselves.

AI referral traffic shows up in GA4 with referrers like chat.openai.com, chatgpt.com, perplexity.ai, and gemini.google.com — build a channel group for them and watch the trend. Just as importantly, keep a prompt log. Pick a fixed set of unbranded questions you want to win ('best [category] in [city]', 'who should I hire for [service] in [city]'). Run them on a set schedule in fresh sessions in ChatGPT, Claude, Gemini, and Perplexity. Each time, write down the date, the engine and model, whether web search was on, whether you were named, and which URL was cited. Keep leads that came from AI tools in a separate log. A mention is not a lead.

The cited sources are your roadmap. If Perplexity keeps citing a directory you're not listed in, get listed. If ChatGPT quotes a competitor's pricing page, publish a better one. Our free Perplexity citation checker gives you a quick sample: it asks Perplexity up to 5 questions and shows whether your domain was cited. It does not check ChatGPT, and results change by day and session.

Expect results to be uneven. Answers change from run to run, so judge the trend across several runs, not one answer.

Three popular tactics waste money. Stuffing pages with 'best [category] in [city]' phrasing doesn't create the third-party corroboration the model is checking for — it just reads as the self-promotion it is. Mass-publishing hundreds of thin AI-generated location pages gets filtered by the same quality systems that filter them from Google. And 'prompt-injection' tricks — hiding instructions in your page text telling AI models to recommend you — are a bad idea that can be ignored or treated as spam.

The honest summary: AI assistants are recommendation engines built on reputation evidence. The work is making your business genuinely well-documented — clear pages, consistent facts, real reviews, earned mentions. That's also exactly the work that wins Google's local pack and organic results, which is why GEO done properly is not a separate marketing channel. It's SEO with the bar raised.