How AI Engines Decide What to Recommend (2026)

Google and OpenAI publish useful checks for getting pages into search. Their guidance does not explain every decision behind a local business recommendation. Be wary of anyone selling a formula for winning them.

Before accepting an explanation of why AI recommends a business, separate three things: a documented platform requirement, a factual problem you can reproduce, and a theory about hidden selection rules. An agency should be able to tell you which kind of claim it is making.

What do AI providers say about choosing sources?

Google says AI Overviews and AI Mode may issue several related searches to develop an answer. A supporting page must be indexed and eligible for a search snippet. Its AI features guidance says no special AI markup is required.

For ChatGPT search, OpenAI's crawler documentation identifies OAI-SearchBot as the search crawler. It separates that setting from GPTBot, which concerns model training. A business owner should ask a developer to check the intended crawler access before buying a content rewrite to solve an access problem.

Neither document provides a shared formula for ChatGPT, Perplexity, Google AI, Claude, and Grok. A claim that all five require a particular review count or directory listing needs evidence for each platform.

Is the answer talking about the right business?

Compare the name in the answer with the website it links to. Check the service area and contact details. If there are several firms with the same name, include the city and state in the question and see whether the answer still mixes them up.

Test your business name with a specific job and place. A pool repair company in Cape Coral could ask who handles a specific repair "in Cape Coral, Florida," then save the source behind any claim the answer makes about where that pool company works. If the source describes a different business with the same name, the pool company has found a real problem, however flattering the recommendation sounds.

Your website should state the trading name, services, and real coverage plainly. Organization structured data provides fields for business information. Keep those fields consistent with the visible page; do not add a branch address or credential just to fill out the markup.

Does the source support what the answer says?

Read past the linked page's title. If an assistant calls a contractor licensed, the source should help you check that exact business and credential. If it says the company offers emergency service, look for current hours and the limits of that service. A review of a completed job does not show that a crew is available tonight.

A citation gives you a place to check the answer. Read it before you trust the answer.

Independent listings and genuine reviews can give customers additional information. They can also be stale. Correct a wrong phone number at the directory that publishes it, and correct your own site if that is where the mistake began. Submitting the same text to more directories will not repair an incorrect source already being cited.

Do not turn this into a rule that every recommendation must have outside confirmation. The useful question is narrower: does the evidence in this answer support this claim?

Why can the same question produce different answers?

Google says its AI features can use different models and techniques, producing different responses and links. That is enough reason to keep Google AI Mode and AI Overviews separate in a test record. Do the same for other products and record whether the answer used web search.

Change one thing per test. A Chicago heating or plumbing company might ask a service question with "Chicago" in it, then ask the same question about a suburb it serves. Those are two tests. If you change the place and the wording at the same time, you can't tell which one changed the answer.

An answer without source links gives you less to inspect. Don't guess which page or review caused it. Save the answer anyway, then ask again with web search turned on if the product offers it.

What evidence would support a recommendation claim?

If a supplier says a particular change made an AI recommend a business, ask for the original questions and answers. The record should include the product, date, and location settings, including tests where the business was absent. One screenshot shows one good day.

When you run your own checks, include work you turn down. A Tampa home service business might ask one question about its main service in Tampa and one about a job it always declines. The second question tests a real limit: does the assistant recommend the business for work it doesn't do?

Look for repeated checks and a clear record of what changed. Other website edits, a different product mode, or a changed question can weaken the explanation. More mentions matter only if they bring useful inquiries or booked work, so ask for those records too.

What can an agency reasonably promise?

An agency can commit to checks and corrections within an agreed scope. Ask it to name the source problem, the proposed edit, and the next test. For an emergency-repair page, that might mean correcting the advertised hours and checking whether later answers still repeat the old ones.

I would accept a dated work report over a claim that the agency has decoded the engines. The report should show what was corrected and which answers were observed afterwards, including unchanged or worse answers.