Expect the timeline to be uneven. Crawler access can change what an assistant sees within days, because retrieval happens at answer time. Identity consistency takes longer, since scattered mentions have to be re-crawled before they join up. Third party coverage is slowest of all and is the part you control least directly, which is exactly why it is worth starting on it before you need the result.
The distinction to draw is between flat results with the inputs completed, and flat results with the inputs missing. The first is a category or timing problem and may be worth persisting with. The second is a delivery problem.
Before leaving, make sure you take the prompt set, the baseline archive and everything published. If those were not yours under the contract, that is a lesson for the next agreement rather than something to negotiate at the exit.
The fix is straightforward if slightly humbling. Pull the language from sales call notes, support tickets and the search queries in Search Console, then have somebody outside marketing read the prompt set and flag anything that sounds like a brochure.
The Signals That Mean Something Four things are hard to fake and worth watching closely. Your own pages beginning to appear in cited sources, which is directly observable in any assistant that shows citations.
This is closer to public relations than to marketing operations, and it is the skill most teams are furthest from. It is also the one least suited to being learned quickly, which makes it the strongest argument for outside help.
Reading Retrieval Rather Than Rankings Search reporting trained everyone to read a position number. This channel produces a body of text and a list of sources, and the useful information is mostly in the sources.
You asked it to recommend a supplier in your category. It named four companies, two of which you consider inferior to yours, and one you had never heard of. Your name did not come up, and it did not come up on the follow up question either.
There is almost always a specific, findable reason for this, and it is rarely that the model dislikes you. Here are the causes worth checking, roughly in the order that they tend to be responsible. brand mentions in ai answers
In most categories the pages that generate answers are review platforms, directories, forum threads, comparison articles and trade publications. Being absent or wrong on those explains far more absences than anything on a brand’s own site, and correcting a listing costs an afternoon.
Because there is no independent scoreboard in this channel, an engagement can run for a year on the strength of a number the supplier produces. That is an unusual amount of trust to extend, and it makes knowing what to check more important here than in any other marketing channel.
Buying a Score Instead of Evidence A monthly number that rises is easy to present and impossible to audit. The vendor controls the number and the prompt set behind it, and a client has no way to distinguish real improvement from a methodology change.
The result is a content programme aimed at guesses. Sometimes it works by accident. Usually it produces pages nobody retrieves, and the diagnosis that would have directed the effort correctly costs a fraction of what the content did.
The Signals That Mean Nothing A rising composite visibility score with no methodology attached. The vendor controls both the number and the prompt set behind it, and it can improve without anything changing.
You Have No Stable Identity Models need to connect scattered mentions to a single entity. If your company appears under three different spellings, lists two different founding years, and gives an address on your site that does not match your directory listings, those mentions may never be joined up.
Descriptions of your business moving from hedged to definite, which you can read yourself in the raw answers. Third party sources that previously described you wrongly now describing you correctly. And an increase in the fraction of runs naming you on buying intent prompts specifically, reported with run counts visible.
Insist on the raw answers. If a report cannot be disagreed with, it is not a report. This single requirement filters out most of the weak offerings in the market without needing any technical knowledge.
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.
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. brand mentions in ai answers
Retrieval behaviour changes, competitors keep publishing, listings go stale, product details change and reviews accumulate. A position secured once is not held without maintenance, which is the same lesson search taught over twenty years and which is being relearned rather than transferred.
