Answer Engine Optimization: How to Get Recommended by ChatGPT, Perplexity and Gemini
Answer engine optimization is how a business raises its odds of being the name ChatGPT, Perplexity, Gemini, Claude or Google AI Mode suggests when a customer asks "who should I hire for this?" It works by giving those engines clear, consistent and well-sourced information about who you are, what you do and why you're a sound choice.
A recommendation is different from a citation. A citation means an engine used your page as a source. A recommendation means it put your business forward as an option. This article is about the second one.
Why recommendations are worth the effort
People are already acting on these suggestions. BrightLocal's Local Consumer Review Survey, based on 1,002 U.S. adults and published in February 2026, found that use of ChatGPT and other generative AI tools for local recommendations rose from 6% to 45% in a year.
Trust is higher than many owners expect. In the same survey, more consumers said they trust AI for business recommendations (40%) than said they don't (32%), and 42% said they trust AI recommendations as much as traditional reviews.
So when an engine lists a few plumbers, accountants or law firms, many readers treat that short list as a starting point. Being on it matters.
How engines decide who to recommend
None of the engines publish a full formula. What's public is how they find pages, and what research shows about which pages get used.
They can only recommend what they can read
Each engine has its own search crawler. If you block it, you remove the raw material.
| Engine | Search crawler | What the company says |
|---|---|---|
| ChatGPT | OAI-SearchBot | Sites opted out "will not be shown in ChatGPT search answers" (OpenAI) |
| Perplexity | PerplexityBot | Recommends allowing it in robots.txt and permitting its published IP ranges (Perplexity) |
| Google AI Overviews and AI Mode | Googlebot | Pages must be indexed and eligible to show with a snippet |
Both OpenAI and Perplexity separate their search crawlers from other uses. Perplexity says PerplexityBot "is not used to crawl content for AI foundation models." OpenAI handles training through a different crawler, GPTBot. That means you can allow search visibility without making a separate decision about model training.
They favor pages that show their evidence
The GEO: Generative Engine Optimization study, presented at KDD 2024, tested how page edits changed visibility in generated answers. Citing sources, adding statistics and adding quotations were among the strongest methods. The most striking finding for smaller businesses: pages that started lower in the rankings gained more. For sites in fifth position, adding citations to sources raised visibility by 115.1%.
The authors' point was that generative engines lean on content quality in ways that let smaller sites compete with larger ones. That's the opening for a local or professional-services firm.
Answer engine optimization for recommendations: what to build
A page that says exactly what you do
Engines need to match you to a request. Write a plain page for each main service, stating the service, who it's for and where you offer it. "Commercial roof repair in Tulsa for warehouses and retail buildings" is far easier to match than "Quality solutions for every need."
Answers to buyers' comparison questions
Recommendation questions often come with a comparison built in: "which is better," "what should I look for," "how do I choose." Pages that answer those questions honestly, including when you're not the right fit, give an engine something useful to draw on.
Consistent facts everywhere
Your name, address, phone, services and hours should match across your site, your Google Business Profile and the directories in your field. When sources disagree, an engine has less reason to be confident about you.
Credentials stated in text
Licenses, certifications, association memberships and years in business should appear as readable text, with links to the issuing body where one exists. Only list what you can prove.
Sourced claims, no padding
If a page states a fact, link to where it comes from. If you can't, cut it. A shorter page that's fully backed up is safer and, per the GEO research, more likely to be used.
Hypothetical example: an independent insurance agency asks Perplexity "how do I choose a business insurance agent" and sees three competitors listed. Its own site has one page titled "Services." It adds a page that answers the question directly, lists the lines of coverage it writes, states its license in text with a link to the state regulator's lookup, and names the towns it serves. It then re-asks the same question each month and notes any change.
Tracking your answer engine optimization results
There's no dashboard from the engines showing who they recommend, so you track it by asking the same questions on a schedule.
- Build a question list. Use the words customers actually use, including the city or area.
- Ask every engine. ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews and AI Mode can each give a different short list.
- Record three things. Whether you're named, who else is named, and which pages are cited.
- Look for patterns. Answers vary between sessions. A single miss or hit tells you little.
- Fix the biggest gap first. Start with the question closest to a buying decision where a competitor is named and you aren't.
For a fuller explanation of how this kind of visibility is measured and audited, there's a closer look at answer engine optimization on Vector Index.
What to avoid
Blocking search crawlers by accident. A single "block AI bots" setting at your host can remove you from ChatGPT and Perplexity answers.
Fake reviews or inflated claims. They put your reputation at risk if anyone looks closely. Stick to what you can back up.
Stuffing pages with the city name or service phrase. The GEO research found keyword stuffing gave little to no benefit.
Believing guarantees. Nobody controls who ChatGPT or Gemini recommends. Promises of a guaranteed spot aren't credible.
FAQ
Can I pay ChatGPT or Perplexity to recommend my business?
Recommendations in their written answers are generated from what the engines find. The reliable route is clear, consistent, sourced information they can read.
Does allowing PerplexityBot mean my content trains AI models?
Perplexity says PerplexityBot is not used to crawl content for AI foundation models. It's used to surface sites in Perplexity search results.
Why does ChatGPT recommend a competitor with a worse website?
Engines weigh more than design. A competitor may have clearer service pages, more consistent listings or better-sourced content. Compare the cited pages with yours.
How often should I check?
Monthly is a sensible rhythm for most owners, plus a check after any major page change.
Getting recommended is the practical payoff of answer engine optimization: open your site to each engine's search crawler, state what you do plainly and consistently, back every claim, and track whether ChatGPT, Perplexity, Gemini and the rest put your name forward.