Ask an AI assistant for a good accountant or a reliable roofer nearby, and it will usually name a few options with a line or two about each. It's natural to wonder why those businesses and not others.
No AI company publishes a complete recipe, and each tool works a little differently. But the general process is well understood, and it points to a handful of things businesses can influence.
Step one: understanding the question
The assistant first works out what's being asked. A question like "Who's a good family dentist near me?" contains a service, a type of customer and a location. The assistant may also use context, such as the approximate location of the person asking, to narrow things down.
Step two: gathering sources
Many assistants search the web or an index when you ask, then read the most relevant pages. This is often called retrieval. Some answers also draw on what the model learned during training. Either way, the assistant can only recommend businesses it can find information about.
This is where technical basics matter. If your site blocks AI crawlers, loads poorly or keeps key details in images or content that only appears after scripts run, the assistant may not be able to use it.
Step three: weighing what it finds
Once it has sources, the assistant has to decide what to trust and what to include. The exact weighting is private, but the signals that tend to matter will be familiar to anyone who has worked on search:
- Relevance: does the business clearly offer what was asked for, in the place it was asked about?
- Clarity: are services, locations, hours and specialties stated plainly enough to quote?
- Consistency: is the business described the same way on its own site, its listings and elsewhere?
- Reputation: do reviews, directories, local press and other independent sources mention it favorably?
- Expertise: does the content show real, first-hand knowledge, with named people and credentials where they matter?
Independent sources tend to carry weight. An assistant summarizing the best options in an area will often lean on review sites, directories and articles, not just on what each business says about itself.
Step four: writing the answer
Finally, the assistant writes a response. It usually names a few businesses and may link to its sources. Because the answer is generated fresh each time, it can change from one conversation to the next, even for the same question. That's why a single check isn't a reliable measure. Tracking many questions over time gives a truer picture.
What this means for your business
You can't control what an AI assistant says, but you can make it easier for it to find, understand and trust you. In practice, that means:
- Make sure AI crawlers can reach your site by checking your robots.txt file and security settings.
- Write service and location pages that answer common questions directly.
- Add schema markup for your business, services, reviews and FAQs.
- Keep your name, address, phone number and services consistent everywhere they appear.
- Earn reviews and mentions from independent, reputable sources.
- Track the questions your customers ask, across several AI assistants, over time.
None of these are shortcuts. They're the same qualities that make a business easy to recommend in person: clear about what it does, consistent in how it presents itself and well regarded by others.
Where to start
The quickest first step is to see how AI assistants describe you today. Ask the questions your customers ask and note who gets named. If you're missing, or described inaccurately, an audit can show which of the signals above is holding you back.