You cannot pay, submit, or trick your way into ChatGPT's recommendations. What you can do is become the kind of business AI tools find easy to understand and safe to name. Here is what actually influences that, what does nothing, and how to check where you stand in ten minutes.

We wrote earlier about why AI tools might be sending clients to your competitor. This is the follow-up everyone asks for: fine, so what do I do about it?

First, the honest disclaimer

Nobody outside these companies controls what their models say. No agency, including ours, can guarantee you a mention, and anyone who promises one is lying to you politely. The engines update constantly, answers vary between sessions, and there is no submission form. What follows is not a guarantee. It is the set of things that demonstrably make businesses easier for these systems to find, describe, and recommend, which is the only lever that actually exists.

What actually influences AI recommendations

Being describable in one sentence. AI tools recommend businesses they can categorize confidently. "A web studio in the Charlotte area that rebuilds websites for established service businesses in 10 days" is a recommendation-shaped fact. "A passionate team delivering digital excellence" gives the model nothing to hold. The single highest-leverage change most businesses can make is a homepage that states plainly who they help, what they do, and where.

Consistency across the whole web. These systems read everything: your site, your LinkedIn, directories, reviews, articles that mention you. When all of it agrees, you are one strong signal. When your address differs across listings and your services are described three different ways, you are noise, and models skip noise in favor of businesses they can describe without risk.

Third-party evidence. Models weight what others say about you: genuine reviews, press mentions, directory presence, being cited or linked by other credible sites. This is old-fashioned reputation, machine-read. You build it the same way you always did, by being good and being visible about it.

Content that answers real questions. When your site plainly answers the questions people ask these tools, what something costs, how to choose a provider, what to expect, you become quotable source material. Engines assembling an answer reach for pages that already contain answers.

Structure machines can parse. Clear headings, one topic per page, schema markup, fast load times. This is the plumbing layer, and we cover it in detail in our guide to making your website readable to AI.

What does nothing

Keyword stuffing does nothing; these systems read meaning, not density. Hidden text does worse than nothing. "AI optimization" services that promise submission to language models are selling a service that cannot exist. And gaming one week's answers is pointless, because the models refresh and the tricks wash out while the fundamentals persist.

The ten-minute audit

Open ChatGPT and Perplexity. Ask the questions your real prospects would ask, using your real market: "who are the best executive coaches for tech leaders," "best web design studio for established businesses near Charlotte," whatever fits. Ask three or four variations, the way real people do.

Then score what comes back. Are you named at all? Are competitors named instead? When you ask about your business directly, is the description accurate and current, or is it assembled from a version of you that is five years old? That last one matters more than owners expect: being described wrongly is its own kind of invisible, because the engine is confidently recommending a business that no longer exists.

Whatever you find, you now know something most of your competitors do not: exactly where you stand in the place a growing share of buying decisions begin. The gap between knowing and not knowing is ten minutes. The gap between knowing and fixing is a structured rebuild, and that part, unlike the model's output, is fully within your control.