Can you pay ChatGPT or OpenAI to recommend your business?

No. There is no paid placement in ChatGPT's organic answers. Brands appear because the model's training data and the sources it searches describe them as relevant, credible options. The work is earning presence in those sources.

Do customer reviews affect AI recommendations?

Yes, strongly. Review platforms like G2, Capterra, Trustpilot, and Reddit threads are among the most-cited sources in shopping and comparison answers. A brand with recent, substantive reviews on the platforms AI already cites is far more likely to be named.

Should I block or allow AI crawlers like GPTBot?

If you want to be recommended, allow them. Blocking GPTBot, ClaudeBot, or PerplexityBot in robots.txt removes your own site from the evidence AI systems can read about you, leaving your positioning entirely to third parties.

GEO playbook

How to get your business recommended by ChatGPT

Q: How long does it take to appear in ChatGPT answers?

For answers that use live web search (ChatGPT with browsing, Perplexity, Gemini), changes can show up within days to a few weeks of your content being indexed. Answers drawn purely from training data change only when models are retrained, which you cannot schedule — which is why targeting the sources AI searches and cites is the fastest lever.

Updated August 2026 · Applies to ChatGPT, Perplexity, Gemini, and Claude

When someone asks ChatGPT “what's the best X for Y,” the answer names three to ten specific brands. Those recommendations come from two places: what the model learned in training, and what it finds when it searches the web mid-answer. You can't edit the first directly — but you can systematically win the second, and it feeds the first over time.

How ChatGPT actually picks the brands it names

Modern assistants answer recommendation questions in one of two modes. Without web access, the model recalls brands that appeared frequently and favorably in its training data — established review sites, comparison articles, community discussions, documentation. With web access (now the default for shopping-style questions in ChatGPT, and always the case for Perplexity), it runs searches, reads a handful of top results, and synthesizes an answer that leans heavily on those pages — usually citing them.

Both modes reward the same underlying thing: being described as a credible option, in third-party sources the system trusts, for the specific question being asked. Every step below is a way of engineering that.

The 7-step playbook

1. Find out where you stand today

Write down 10–20 questions your buyers actually ask before they know your name — “best [category] for [audience],” “[competitor] alternatives,” “is [category] worth it for [use case].” Ask them in ChatGPT, Perplexity, and Gemini and record which brands are named, in what order, and which sources get cited. This baseline tells you which questions are winnable and who you're losing to. (This is exactly what a Mentioned scan automates, including re-checking after every change.)

2. Publish pages that answer the question verbatim

For each lost question, publish a page whose first paragraph directly answers it — not a page that's vaguely about the topic. AI systems quote the passage that most cleanly resolves the query. An FAQ page answering “What's the best meal kit for families?” in its opening sentences is dramatically more quotable than a homepage that says “delicious meals, delivered.”

3. Build comparison and alternatives pages

A large share of buyer questions name a competitor: “[competitor] alternatives,” “X vs Y.” If nobody has written an honest comparison that includes you, the AI can only recommend from the comparisons that exist. Publish “[You] vs [Competitor]” pages with a real feature table and honest trade-offs — one-sided pages read as marketing and get skipped.

4. Get listed where AI already looks

This is the highest-leverage step. When AI searches, a predictable set of domains dominates its citations for your niche: review platforms (G2, Capterra, Trustpilot), Reddit, industry roundups and listicles, and Wikipedia for established categories. Getting into those sources moves you into the AI's evidence set for every question they rank for:

Review platforms: claim the free listing, then get 5–10 recent, specific reviews. Recency matters more than volume.
Reddit: genuinely answer buyer questions in the relevant subreddits, brand disclosed. AI systems cite Reddit heavily for “what do real people use” questions.
Roundups: find the “best [category]” listicles that AI cites, and pitch the authors a concrete reason to include you — a differentiator, data, or a free tier.

5. Make your site machine-readable

Allow AI crawlers in robots.txt (GPTBot, ClaudeBot, PerplexityBot, Google-Extended). Add schema.org markup — Organization, Product, FAQPage — so your name, category, and pricing are unambiguous. Publish an llms.txt file summarizing what you do. Make sure key pages render as HTML, not only client-side JavaScript.

6. Keep your entity consistent everywhere

AI systems reconcile what they read across sources. If your category description, pricing, and positioning differ between your site, your G2 profile, and old press coverage, the model hedges — and hedged brands get dropped from shortlists. Align the one-sentence description of what you are everywhere it appears.

7. Re-check and iterate

Ask the same questions again after your changes are indexed. Wins are question-by-question: you'll appear for one query while remaining invisible for another, and the losses tell you what to publish next. Monthly manual checks work; automated weekly scans catch competitor moves in between.

How fast should you expect results?

Search-backed answers (Perplexity, ChatGPT with browsing) can reflect a new page or listing within days to a few weeks of indexing. Training-data-only answers move on model release cycles — months. In practice teams see the first question flips within one to two months of shipping direct-answer pages and source listings, which compounds from there.

Frequently asked questions

How long does it take to appear in ChatGPT answers?

Days to weeks for answers that use live web search, if your content gets indexed and cited. Training-data-only answers change on retraining cycles you can't schedule — so target the searchable, citable sources first.

Can you pay to be recommended?

No. There's no paid placement in organic AI answers. Presence is earned in the sources the AI trusts.

Do customer reviews matter?

Heavily. Review platforms and Reddit are among the most-cited source types for recommendation questions. Recent, specific reviews beat a large but stale review count.

Should I allow GPTBot to crawl my site?

Yes, if you want to be recommended. Blocking AI crawlers removes your own voice from the evidence and leaves your story to third parties.

See where you stand first: run a free AI visibility scan — it asks real buyer questions across engines, shows who gets recommended instead of you, and turns the gaps into an action list.