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How AI assistants choose which businesses to recommend

A customer asks an AI assistant “can you recommend an accountant in Manchester?” and gets three names. Not ten links: three names. If yours is missing, you do not exist for that customer. But how are those three chosen?

By the ai-rank team

Nobody knows the exact rules

Model providers do not publish how they choose what to cite, and the rules change often. What you can do is observe many answers and see what tends to recur. What follows comes from that observation, not from a promise.

Two ways of answering: from memory or from the web

An assistant can answer with what it learned during training: then it mostly knows businesses that are cited a lot around the web. Or it can search in real time: it reads a few pages, compares them and summarises.

With search on, the pages it finds matter a lot: your website, your Google profile, professional directories, reviews.

What tends to make the difference

  • Clarity: your website says right away who you are, what you do, for whom and where. If the assistant has to guess, it picks someone else.
  • Consistency: address, hours, services and contacts are the same on your website, your Google profile and in directories. Conflicting data causes errors or exclusion.
  • Third-party proof: reviews, mentions, professional registers, articles about you. A model trusts what others say more.
  • Pages that answer: one page per service, saying who it is for, how you work, indicative prices and FAQs, answers what customers really ask.

Why the answer changes from one time to the next

Assistants do not always give the same answer: the same question, asked twice, can name different businesses. That is why a single try tells you nothing: you need many questions and many answers to know whether you really appear, and how often.

Questions with your name and questions without

If you ask “what is Smith & Co like?” the assistant knows you and answers. But a new customer does not know your name: they ask “an accountant in Manchester for a start-up”. That is the question that matters, and the one where many businesses rarely appear.

Where to start

  • Run a test with questions that do not name your business, in several wordings.
  • Check what is said about you: address, services, prices.
  • Fix the errors and inconsistencies first, then the missing pages.

Nobody can guarantee a citation. But starting from real data instead of guesses means you work on the right things.

Find out what AI assistants say about you.

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