To get recommended by ChatGPT, you need the model to see your brand as a credible, clearly described option that other sources already talk about. There is no ad slot and no setting to toggle. The model recommends what it has learned to trust from reading the open web. So the work is making that picture of you accurate, consistent and strong.
1. Make your brand description consistent everywhere
A model builds one picture of you from many places: your site, your social profiles, directories, reviews and press. If each describes you differently, the picture blurs and you get left out. Decide in one or two sentences exactly what you do and who for, then make sure that same description appears consistently across every profile and listing you own. Consistency is what lets a model treat all your mentions as one trusted entity.
2. Get cited by sources the model already trusts
AI assistants lean heavily on third party signals: press coverage, respected industry sites, review platforms and active communities. Being talked about in those places matters more than anything you say about yourself. A single credible review roundup or a mention in a trusted publication can do more for your AI visibility than a month of on page tweaks. Earned coverage and genuine reviews are the strongest lever you have.
3. Answer the real questions on your own site
When a model looks for something to quote, it reaches for pages that answer a question directly. Lead with the answer in the first line. Use clear headings. Include specific numbers, comparisons and plain facts. How to guides, honest comparisons and data backed pages get picked up far more than vague marketing copy. Write the page you would want the AI to read aloud.
4. Make your pages machine readable
Add structured data so a model can correctly read your organisation, services, reviews and FAQs. Keep the site fast and clean so crawlers reach the content. If your most important information only appears after scripts run, some crawlers will never see it. The easier you are to parse, the more liftable you become.
5. Map the exact questions buyers ask
Start from the phrases your customers actually type into an AI before they buy. Tools like Google Search Console, communities like Reddit, and simply asking your own customers all surface these. Then build a clear answer to each. You are not guessing at keywords. You are covering the real questions that lead to a recommendation.
6. Measure whether it is working
Ask the assistants the questions a buyer would, across ChatGPT, Gemini and Perplexity, and record whether you are named. Track that over time. That share of answers is the real scoreboard, and it tells you where to push next.
None of this is a trick. It is the same principle that has always driven reputation, pointed at a new reader. Be clear about who you are, earn genuine credibility, and make yourself easy to quote.