How To Audit Whether AI Recommends Your Brand

Present but described wrongly means a source problem, and the source list tells you which page to correct. Present and generative engine optimization accurate on definitional prompts but absent on the who should I hire prompts means your category presence is fine and your commercial positioning is not corroborated anywhere independent.

The honest framing first: nobody outside these organisations knows the selection logic, and the systems change without announcement. What follows is drawn from observable behaviour, visible citations and published research, which supports useful generalisations and does not support precision.

Record the conditions alongside the results: which assistant, which model version if visible, whether web access was on, the date and the run number. When a result changes sharply, the conditions log is usually what tells you whether the world changed or your setup did.

One structural decision saves a lot of trouble later. Keep the raw answers in plain text files named by date, assistant and run number, rather than pasting them into a document that gets reformatted. Six months in you will want to search across every run for the first appearance of a competitor or a source, and a folder of plain files supports that while a slide deck does not.

What analytics cannot tell you is how often you were named without a click, which in this channel is most of the time. A recommendation that a buyer acts on three weeks later leaves no trace in any report you own. This is why the manual prompt set is not optional, and why nobody should be asked to justify this work on referral traffic alone.

The condition is that it has to be honest. A comparison where every row favours you is transparent to readers and produces nothing quotable as an impartial claim. Name real competitors, use concrete axes, and state plainly where somebody else is the better choice.

This explains the most common frustration brands report, which is watching a competitor with a worse website get recommended instead. That competitor is usually not better optimised. They are more written about, and the system is weighing the difference.

This is also why review volume and recency show up so consistently in what gets cited. A platform with forty recent accounts of working with you is more informative than your own page saying customers love you, and it is treated accordingly.

Then load your most important page with JavaScript disabled in your browser settings. If what remains is a navigation bar and no substance, that is roughly what a retrieval system reads, and it explains a great deal on its own.

Tracking this is genuinely awkward, and pretending otherwise is how most reporting in this field goes wrong. There is no console. Answers vary between runs. Referral attribution is inconsistent between assistants. Anyone handing you a single confident number has hidden a great deal of variance behind it.

Publish Your Own Comparison Anyway It will rarely be the most cited source in your category and it is still worth having, for two reasons. It puts a version of your figures into circulation stated correctly, and it is frequently the page journalists and roundup writers use when compiling their own comparisons.

An agency doing the work sends these the same day, because they already exist as a by-product of the measurement. One that does not will explain that the platform does not export in that format, or that the data is summarised in the dashboard.

A third response, attempting to manipulate the review platform, fails for mechanical as well as ethical reasons. Fabricated accounts tend to be uniform in language and timing, which is the pattern that gets discounted, and platforms enforce against it with increasing effectiveness.

Corroboration Beats Assertion The single clearest pattern in observed behaviour is that independent agreement outweighs self description. A claim made only on your own site is treated as a claim. The same claim appearing on a review platform, in a trade publication and in a forum thread is treated as a fact about the world.

The Structural Reason A system composing a recommendation needs to weigh several options against each other. A review site has already done that. A brand site argues for one option and has an obvious interest in the conclusion.

Keep a dated note of what you observed each quarter, including behaviour that later turned out to be temporary. The value is not in the individual observations, most of which expire, but in noticing how fast they expire. A team that has watched three of its confident conclusions become wrong within a year develops the right amount of scepticism about the fourth.

Run Each Prompt Multiple Times Generation involves randomness and retrieval can return different pages between runs, so a single answer is a sample. Three runs per prompt is the practical minimum and five is better where the stakes are high.

We also know the picture is unstable. Retrieval strategies are revised without announcement, and a method that explained answers well six months ago may explain them poorly today. Anyone selling certainty here is selling something they do not have.