How AI Assistants Decide Which Brands To Recommend

Direct Answers Beat Positioning When a model composes a recommendation it needs sentences it can attribute. Positioning language supplies none. A paragraph about being a trusted leader committed to excellence contains no attachable claim, so it is passed over in favour of a competitor who wrote down their turnaround time.

Ask for a Small, Bounded Commitment Do not ask for a year. Ask for one quarter with a defined scope: run the baseline, fix access problems, correct the listings on the sources that appeared, publish two pages that answer the questions your baseline showed were answered badly.

Refusals matter. A report that only contains successes is either describing a suspiciously easy month or omitting the parts that did not work, and the omitted parts are usually where the useful information is.

The Prompt Set, Unchanged The report opens with the prompt set used, versioned and dated, and a statement that it is identical to last month's. If it changed, the change is listed explicitly with a reason, and the previous series is kept alongside so comparisons remain honest.

The shortlist is shorter than a conventional local results page, which raises the stakes on being included. Being fourth on a map still gets calls. Being fourth in a recommendation that names three businesses gets none.

The monthly report is where an engagement is either accountable or theatrical, and the difference is visible from the first page. A useful report can be argued with. A padded one cannot, because there is nothing in it specific enough to disagree about.

One thing to establish in week one is where everything lives. The prompt set, the baseline archive, the raw answers and the correction log should sit somewhere you control from the beginning rather than in the ai seo agency's systems. Retrieving them later is a negotiation. Having them from the start is an administrative decision nobody objects to at the outset.

This matters more than any subtlety about model training. It means recommendations are built largely from pages that exist right now, which is why a page published this month can influence an answer this month, and why a brand absent from the retrievable web is absent from the answer regardless of how well known it is offline.

Entity Coherence Before a model can recommend you it has to be confident that the scattered mentions of your name refer to one company. That confidence comes from consistency across the details that identify you.

Third, and least comfortable, reduce dependence on this one channel. Brands that were already visible through communities, direct relationships, email and their own reputation have absorbed the change far better than brands whose entire acquisition rested on informational search traffic.

What Padding Looks Like Screenshots of favourable answers with no indication of how many runs produced them. Industry news summaries that could have been written without opening your account. A rising score with no methodology. Traffic charts from unrelated channels included to fill space.

A Claim About Causation, Stated as a Claim The most valuable paragraph in the report is the one that says what moved and why the agency believes their work caused it, phrased as a judgement rather than a fact.

How to Run the Ninety Day Review Ask three questions. Can you show me the prompt set is unchanged. Can you show me the raw answers. What specifically did you do, and which of the changes do you believe caused which movement.

A page worth having states what you do in that area specifically: which neighbourhoods, what travel time, what jobs are common there, what the local constraints are. If you cannot write anything genuinely local about a town, the honest answer is not to publish a page for it.

Frame It as Insurance Where Appropriate For businesses whose category shows light assistant use, the honest framing is not growth. It is that the cost of entering rises as third party coverage fills in, and that a baseline taken now is what will let you attribute any future decline.

Being the Source Instead of the Casualty The summary cites sources, and being one of them is now a legitimate objective. The requirements resemble what earns citations anywhere else: a page that answers directly, contains specifics worth attributing, and is reachable and readable by a crawler.

Segment by query type. Informational and definitional queries are the most affected. Transactional queries, navigational queries and anything where the user needs to compare specific options or complete a purchase are far less affected, because a summary cannot finish the job.

Handle the Statistics Carefully Numbers circulate in this field faster than anyone checks them, and using an unsourced one is the fastest way to lose a room. Attach the provenance to everything you cite:

Long sections on activity that produced nothing, described in the language of effort rather than outcome. And the most reliable indicator, a report you cannot disagree with, because it contains no specific claim to test.