A Realistic Timeline For AI Visibility Results
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 Moves the Timeline Category coverage is the dominant factor. A category with two thin comparison articles can move in a quarter. A category where every comparison page has been fought over for a decade may take a year to enter.
Service and Area Pages, Done Honestly The standard local play is a page per service and a page per town, and it fails when those pages are templated with a place name swapped in. Thin, near duplicate pages are treated as low quality and rarely provide anything worth quoting.
Weeks Three and Four: The Access Findings A technical report covering crawler permissions, what the relevant agents actually receive from your server, whether bot management is interfering, and what survives on your key pages with JavaScript disabled.
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.
If nothing has moved on any of the three, that is real information and a legitimate reason to scale back or change supplier. Set that review date at the start, while everyone is still optimistic, because it is much harder to set fairly once money has been spent. how to get your brand recommended by AI
Why Local Is More Exposed The classic local query is a recommendation request with a geographic constraint, and that maps directly onto what a generated answer does well. Somebody asking who to call for a specific job in a specific town receives two or three names rather than a map and a list to work through.
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.
If the baseline exists, access problems were found and fixed, listings were corrected with names attached, and the source list has begun to move, the engagement is on track even if mention rate has not shifted. If none of those happened, the next ninety days will not be different from the first. how to get your brand recommended by AI
One thing that reliably compresses the timeline is starting the slow work first. Outreach and coverage take months regardless of what else is happening, so beginning them in week one rather than month four moves the whole programme forward by a quarter at no additional cost. Most plans do the opposite, sequencing the slow work last because it is the least certain.
Why the Format Wins When somebody asks an assistant who they should use, the answer required is a comparison. A page that has already performed that comparison, naming specific options and stating how they differ, maps directly onto the shape of the answer being composed.
The Objection, and the Answer to It Sales teams resist naming competitors and conceding anything, and the resistance is understandable. The counter is that the comparison is happening regardless, inside a model, using whichever sources it can find.
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. how to get your brand recommended by AI
Write these plainly and prominently. A page that says we serve the wider area and offer competitive pricing contains nothing a model can use. A page that says we cover a fifteen mile radius, charge a fixed call out fee, and can usually attend within four hours can be quoted directly into an answer.
The realistic expectation is that a well written comparison or specification page starts appearing in citation lists within four to eight weeks if the access work is already done. If it has not appeared in three months, the problem is usually that the page argues rather than answers.
Days, Not Months: Access Anything that unblocks retrieval can show up almost immediately, because most assistants fetch pages at answer time rather than relying on a slow index refresh. Removing a disallow rule, fixing a bot management setting that was challenging legitimate agents, or making key content render without JavaScript can change what a system sees within days.
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 truthful answer is that different parts of the work move at very different speeds, and knowing which is which lets you judge an engagement at the right moment instead of the convenient one. how to get your brand recommended by AI