Track Your AI Visibility for a Launch
Set a baseline before you ship, publish against the gaps, and measure whether it moved.
This measures whether an answer engine names you when a buyer asks about the problem you launched into. Take the baseline before you ship, or you will not know afterwards whether the launch moved anything.
1. Two Weeks Before Launch: Write the Prompts
Write prompts the way a buyer would type them, covering the ground the launch is aimed at. The kinds below are a checklist for your own coverage, not a feature in the product:
| Kind of question | Write |
|---|---|
| Category | "What tools do X?" Tests whether you are in the consideration set at all. |
| Problem | "How do I stop Y happening?" Catches buyers who do not know the category. |
| Comparison | "A vs B", "alternatives to C". Highest intent. |
| Evaluation | "How long does X take to set up?" Where wrong answers cost deals. |
| Pricing | "Which X tools do not charge per seat?" Often clearly yours. |
Take the phrasing from sales calls. One prompt copied word for word from a first call is worth more than five you invented: tracked prompts.
2. Scan, and Write the Baseline Down
trigger_scan { "profileId": "..." }Record three numbers before anything ships: visibility score, content coverage, and the competitor at the top.
3. Read the Gaps as a Brief
The prompts where a competitor is cited and you are not are your publishing plan. Rank by decision impact, not distance behind: acting on gaps.
Then pull the cited sources for the ones you picked: what the models have already absorbed about the category, and which directories or review sites you are absent from. That second list is the part you can edit yourself, so start there.
4. Publish Against Them
Brief the content agent with three things:
- the exact prompt text,
- the competitors currently cited for it,
- the domains those answers pulled from.
Write the claim plainly and near the top. Answer engines quote sentences, and a buried one does not get quoted.
5. Re-scan, Twice
Pick the re-scan dates before you publish, and use more than one: models do not all move at the same time, and a single scan is a single sample. Compare each against the step 2 baseline, per model.
We do not publish an absorption timeline, so do not promise your team one. Measure it on your own prompt set over a few scans.
Read the trend, not one scan: reading the score.
6. Join It to Pipeline
Visibility is a leading indicator. Pair it with the AI traffic breakdown in traffic analytics and the meetings those landing pages produced in the conversion funnel.
SAM can keep the loop visible between launches: ask it weekly whether you are showing up in AI answers for the prompts the launch targeted.