To get recommended by AI answer engines like ChatGPT, Perplexity, and Google's AI Overviews, you need to be understood and trusted. Make your business unmistakable to machines with clean structured data and a consistent identity across the web, publish content that directly answers the questions buyers ask, and earn mentions on the third-party sites and reviews the models lean on. AI recommendations follow the same trust signals as search — clarity, authority, and consistency — but reward being the clearly-cited source most of all.
Why this matters now
A growing share of buyers start with an AI assistant instead of a search box. They ask a question — "who's the best web designer for a small business?" — and the AI answers with a short list. If your business isn't in that answer, you're invisible to those buyers, no matter how well you rank in traditional search.
This is the least-contested front in marketing right now, because most competitors still optimize only for blue links.
Be understood: structured data and a consistent identity
AI engines have to know what your business is before they can recommend it. Give them unambiguous signals: structured data (schema) that states your name, services, and area served; a consistent name, address, and phone everywhere you appear; and links tying your website to your profiles so it's all clearly one entity.
Inconsistency is the enemy. A different business name here, a different phone there, and the model can't confidently identify — or recommend — you.
Answer the questions buyers actually ask
AI answers are assembled from content that directly addresses a question. Publish pages that answer the real questions your buyers ask, and format them so a machine can extract the answer: a clear question as a heading, a direct answer in the first sentence or two, then the detail.
- ✦One clear question per heading, phrased how people ask it
- ✦A direct 40–60 word answer right under it, before the detail
- ✦Genuine, first-hand expertise — not rephrased generic advice
- ✦Kept fresh; stale pages get demoted in AI answers
Be recommended: mentions and reviews the models trust
AI recommendations lean heavily on third-party signals — the sites, forums, directories, and reviews the models were trained on and cite. Getting included in "best of" lists for your category, earning genuine reviews that describe real outcomes, and being mentioned where your industry gathers all make you more likely to be the name the AI repeats.
You can't fake this, and you shouldn't try — but you can earn it deliberately.
Measure where you're cited
You can't improve what you can't see. Ask the AI engines the questions your buyers would ask and note who gets recommended and why. Where a competitor shows up and you don't, that's your content and authority gap — go fill it.
Frequently asked
What is answer engine optimization (AEO)?+
AEO is optimizing so AI answer engines — ChatGPT, Perplexity, Google's AI Overviews — understand, trust, and cite your business when people ask them for a recommendation. It chases citations and mentions rather than just rankings and clicks.
How is getting recommended by AI different from SEO?+
It shares SEO's foundations — clarity, authority, structured data, fresh useful content — but the goal is being the cited source in an AI's answer, not just a link on a results page. Strong entity signals and third-party mentions matter even more.
Can a small business get recommended by ChatGPT?+
Yes. Clear structured data, content that answers buyer questions, genuine reviews, and inclusion in reputable industry lists can get a small business cited — often against far bigger competitors that haven't done the work.