How To Audit Whether AI Recommends Your Brand
Two asking who to hire or buy from for the thing you sell. Two describing the problem your product solves without naming the category. Two comparing named competitors. Two asking about a specific situation your best customers are in. One asking directly who your company is. One asking whether your company is any good.
Use the first quarter to learn how they handle bad news, because there will be some. A rendering problem nobody anticipated, a correction request refused, a rewritten page that earns nothing. How those get reported in month two predicts how a flat quarter will be reported in month eight, and it is far easier to change supplier at ninety days than at a year.
But it is a claim, not evidence. Markup asserting that you own a profile only helps if that profile exists and points back. The pattern that works is reciprocal: your site names the profile, the profile names your site, and a third party source independently associates the two.
Starting With Content The most common and the most expensive. A brand decides to take this seriously and commissions twenty articles, without knowing which questions matter, which assistants answer them badly, or which sources those answers are built from.
You can do this yourself in about half an hour, with no subscriptions and no technical knowledge. It will not be as thorough as a full engagement, and it is more than enough to establish whether you have a problem and roughly what kind.
One local specific worth checking is how your opening hours and availability are stated across every listing. These are among the details most frequently quoted in local recommendations and among the most likely to be wrong, because they change seasonally and get updated in one place. An assistant confidently telling somebody you are closed is a lost job that leaves no trace in any report.
What needs you: factual accuracy. Somebody inside the business has to confirm the numbers, limits and claims before publication, because you carry the consequence of anything untrue being published about your own products.
Most engagements are judged too late, on a final outcome that arrives after the point where anything could have been corrected. The first quarter has its own deliverables, and knowing what they are lets you tell early whether you have hired the right people.
The output is a spreadsheet and it is the most important document in the project. It tells you whether you are named, whether what is said about you is true, who is named instead, and which pages your category's answers are actually built from.
Statistics without sources. This field circulates figures faster than it checks them, and a number arriving without a publisher, a sample size and a date should be discounted rather than repeated to your board.
Ahrefs measured the overlap in July 2025 across 15,000 long-tail prompts and four assistants, finding roughly 80 percent of cited pages did not rank for the original query at all. Ranking gets a page considered. It does not reserve a seat.
What Should Not Have Happened Yet A large volume of new content. Twenty published articles by month three usually means the baseline was not used to direct the work, and the pages were commissioned before anyone knew which questions mattered.
How to Judge It at Day Ninety Re-run the original fifty prompts, the same number of times, under the same conditions. Compare against the baseline on three measures: how often you are named, whether the description of you is accurate, and which sources are being cited.
This is usually a few days of work, it frequently explains a poor baseline entirely, and it improves conventional search as a side effect. It is the cheapest part of the whole exercise and the most commonly skipped.
This is a plan rather than an explanation. It assumes you have already accepted that some of your buyers are asking an assistant for recommendations before they contact anybody, and that you would prefer to be named.
That is a month of intermittent effort, it costs almost nothing, and in most local categories it is enough to change what an assistant says. Local is one of the few places where the whole discipline is genuinely accessible without an agency. ai seo services
How Identity Fragments Fragmentation is rarely deliberate. It accumulates through ordinary business activity: a rebrand that was applied to the website but not to old directory listings, a legal name that differs from the trading name, an office move recorded in some places and not others, a founder's profile that lists a different company spelling.
Days One to Fourteen: Find Out Where You Stand Somebody writes fifty questions your buyers would ask, in their words. They run each one three times across the two or three assistants your customers use, from a signed out session, and record the full answers and every source cited.
What a Local Business Should Do This Month Run five prompts asking for a business like yours in your town, from a signed out session, and record who gets named and what gets cited. Then fix every listing on the sources that appeared, starting with the phone number and address.