How to Get Your Company Recommended by ChatGPT and Perplexity
A buyer who needs a HubSpot partner, a software development firm, or a marketing consultant used to search Google and open ten tabs. Many now ask ChatGPT, Perplexity, Gemini, or Google's AI Overviews instead: "Who are good HubSpot partners for a small SaaS company in India?" The answer is a short list with a sentence about each company.
If your company is not on that list, you never get a chance to compete. The buyer does not see page two of an answer.
No one can guarantee a place on those lists, and anyone who promises it is overselling. But the companies that appear have some things in common, and most of them are within your control.
How answer engines choose
AI assistants build their answers from what they can find and trust. Some use a live web search, some draw on what they learned in training, and many do both. Either way, they favor companies that are:
- Easy to describe. The model can say in one sentence what the company does and who it is for.
- Described consistently. The website, LinkedIn, directories, and articles all say the same thing.
- Backed by evidence. There are case studies, reviews, mentions, and specific facts to cite.
- Relevant to the question. A page exists that matches what the buyer asked.
A company with a vague homepage, three different descriptions across the web, and no public proof gives the model little to work with.
1. State your offer once, clearly
Write one paragraph that says who you serve, what you do for them, and what makes you different. Then use it everywhere: the homepage, the About page, LinkedIn, Google Business Profile, and directory listings.
"We are a full-service digital agency helping businesses grow" could describe thousands of firms. "We set up HubSpot for B2B software companies with small sales teams" can be repeated by a model and matched to a question.
2. Build a page for every real offer
Answer engines match questions to pages. If a buyer asks about HubSpot setup for SaaS companies and your site has only a general services page, there is nothing to match.
Create one page per service and, where it matters, per industry or location. Each page should say who it is for, what is included, how it works, and what it costs or how pricing works.
3. Publish proof a model can quote
Models repeat specific facts. "A mid-sized software company increased lead conversions by 30% in three months" is quotable. "We deliver outstanding results" is not.
Write case studies with the client type, the situation, what you did, and a result. Collect reviews on the platforms your buyers use. Answer common questions directly on your pages, in plain language.
4. Get mentioned where your buyers look
Mentions on other sites help a model trust that you exist and are relevant. Industry directories, partner listings (HubSpot, Zoho, AWS, and others), podcast appearances, guest articles, and community discussions all count. Focus on sources your buyers already read.
5. Make your site easy to read for machines
- Do not block AI crawlers in
robots.txtunless you have a reason to. - Use clear headings and short paragraphs.
- Add structured data for your organization, services, and articles.
- Keep important content in plain HTML, not only in images or scripts.
6. Check what the models say today
Ask the questions your buyers ask, in ChatGPT, Perplexity, and Gemini. Note whether you appear, how you are described, and which competitors appear instead. Repeat every month. When the description of your company is wrong, find the page or profile it came from and fix it.
What not to do
Do not publish hundreds of thin, AI-written pages to game the results. Do not stuff pages with keywords. Do not invent reviews. These tactics make a company harder to trust, for people and for machines.
Where to start
Try our free algorithmic attention audit to see how easy your company is to describe. For hands-on help, see AI search visibility.