How to Get Your Business Recommended by ChatGPT

More customers are beginning their buying journey with a conversation instead of a search.

They are not always typing:

“best accounting software”

They are asking:

“I run a 20-person construction company, need better project accounting, and don’t want something overly complicated. What should I use?”

That distinction matters.

Traditional search optimization was largely about matching pages to keywords.

AI-driven discovery is increasingly about whether an AI system can understand:

• what your business does

• who it serves

• what problems it solves

• why it is credible

• how it compares with alternatives

• what independent sources say about it

That creates a new question for marketers:

How do you make your business more likely to appear when someone asks ChatGPT for help choosing a company, product, or service?

There is no button that lets you organically “rank #1 in ChatGPT.”

There is also no legitimate way to guarantee that ChatGPT will recommend a particular company.

But there are concrete things businesses can do to improve their visibility.

Start With the Questions Customers Actually Ask

The first mistake is treating AI optimization like old-school keyword SEO.

Suppose you own an HVAC company.

Traditional keyword research might produce:

• HVAC company Dallas

• AC repair Frisco

• HVAC installation near me

Those still matter.

But an AI user might ask:

• “My upstairs is 8 degrees hotter than downstairs. What kind of company should I call?”

• “Is it worth replacing a 12-year-old AC unit in Texas?”

• “Which HVAC companies in North Texas are good with high-end homes?”

• “Trane vs Carrier for a 5,000-square-foot house?”

• “How much should two new AC systems cost in Dallas?”

Those are richer expressions of intent.

Your first task is therefore to create a prompt universe: the questions your ideal customers are likely to ask before purchasing.

I like dividing these into five categories:

1. Problem-aware questions

The customer has a problem but may not know the solution.

2. Research questions

The customer is trying to understand the category.

3. Comparison questions

They are evaluating alternatives.

4. Recommendation questions

They are actively asking whom or what to choose.

5. Transactional questions

They are approaching a buying decision.

The closer you move toward recommendation and transaction, the more commercially valuable the prompt becomes.

Make Your Business Easy to Understand

Before trying to convince AI systems that your company is the answer, make sure they can clearly understand the company itself.

Your website should answer:

• What is the business called?

• What does it do?

• Where does it operate?

• Who does it serve?

• What products or services does it offer?

• What makes it different?

• What credentials or experience support its claims?

• Where can those facts be corroborated?

This sounds simple.

Yet many websites are surprisingly vague.

They rely on slogans such as:

“Transforming tomorrow through innovative solutions.”

That may sound polished to a human marketing team, but it provides very little useful information.

Compare that with:

“ABC Pools designs and builds custom gunite pools, spas, outdoor kitchens, and backyard living spaces for homeowners across Dallas and North Texas.”

The second version gives both humans and machines much more information.

Clarity is underrated.

Make Sure ChatGPT Can Discover the Site

OpenAI says websites that want to be eligible for inclusion in ChatGPT Search should allow its OAI-SearchBot crawler and permit access from OpenAI’s published crawler IP ranges.

That does not guarantee inclusion.

But blocking the crawler makes discovery considerably harder.

A technical AI-search audit should therefore include:

• robots.txt

• crawl permissions

• sitemap

• page indexing

• canonical tags

• internal links

• structured data

• broken pages

• duplicate content

• page speed and accessibility where relevant

AI optimization does not replace technical SEO.

It builds on top of it.

Build Pages Around Real Buyer Questions

Your website should become a useful source for the questions customers are asking.

Instead of creating twenty generic articles, create the best possible resource for specific buying situations.

For a custom pool company, that could include:

• How much does a luxury pool cost in Dallas?

• Gunite vs fiberglass for North Texas homes

• What expansive clay soil means for pool construction

• How to compare luxury pool builders

• What should be included in a pool-builder contract?

• Pool financing options for high-end backyard projects

The goal is not content volume for its own sake.

The goal is to create information worth retrieving.

Third-Party Authority Matters

Your own website is only one source of information about your business.

Independent sources may be even more important.

Think about how a human makes a recommendation.

If a company says:

“We are the best.”

That is advertising.

If customers, industry publications, respected directories, journalists, experts, associations, and independent reviewers repeatedly reinforce that reputation, the claim becomes much more credible.

The same logic applies to AI discovery.

Look at where the businesses currently being surfaced in your category are mentioned.

Potential authority sources can include:

• respected industry publications

• legitimate local media

• trade associations

• directories

• podcasts

• expert roundups

• real customer reviews

• interviews

• research reports

• high-quality comparison content

This is why I believe the future of GEO will involve much more than publishing blog posts.

Digital PR, reputation, entity building, and third-party corroboration become part of the optimization process.

Reverse-Engineer the Source Environment

One of the most useful exercises is simple:

Ask AI systems the questions your customers care about.

Then record what sources appear.

For every query, track:

• which brands are mentioned

• which websites are cited

• which sources appear repeatedly

• whether competitors appear more frequently than you

• which third-party sources mention competitors but not you

After enough prompts, patterns emerge.

Imagine that across 100 commercial questions you discover that 15 websites account for a disproportionate amount of cited information.

Your biggest competitor appears on 11 of those sites.

Your company appears on two.

That gives you a very different marketing strategy than:

“Write more blogs.”

You now have a source gap.

Measure AI Share of Voice

You cannot improve what you do not measure.

Businesses should establish a standardized set of prompts and repeatedly test them.

Useful metrics include:

AI Mention Rate

What percentage of tracked prompts mention the brand?

Citation Rate

How often is the company website or its content cited?

Commercial AI Share of Voice

How frequently does the brand appear across high-purchase-intent prompts compared with competitors?

Source Coverage

How many important third-party authority sources mention the company?

AI Referral Traffic

How much traffic arrives from AI platforms?

OpenAI currently adds utm_source=chatgpt.com to ChatGPT Search referral links, making this traffic easier to identify in analytics.

Don’t Try to Manipulate the System

There will inevitably be shortcuts marketed around AI rankings.

Fake reviews.

Fake “independent” recommendation websites.

Mass-produced AI articles.

Private networks designed purely to manufacture authority.

Some tactics may produce temporary movement.

But businesses should ask a better question:

“If a sophisticated human researched this company across the web, would the evidence support the reputation we are trying to establish?”

If the answer is yes, you are building something durable.

If the answer is no, you are probably manufacturing signals rather than building authority.

The Bigger Shift

Getting recommended by ChatGPT is not really a trick.

It is an extension of a much larger change in customer acquisition.

Customers are moving from:

keyword → results page → website

toward:

problem → conversation → recommendation → decision

The businesses that win will likely be those that are easiest to understand, easiest to verify, and genuinely useful across that decision journey.

That is the opportunity behind AI search optimization.