Gallery categories
Goal: make proof browsable before every sales call. Each card tells the buyer what evidence exists, what it proves, and what it does not claim.
Baseline scanWho AI recommends instead of the business today.
Before/afterShare-of-AI-voice movement after Growth Engine fixes.
AttributionAI-referred sessions tied to forms, calls, and bookings.
Evidence cards
| Card type | What it shows | Status |
| Baseline scan | Raw AI answers, competitors named, platforms checked, and visibility score. | Ready now via scan reports |
| Movement proof | Before/after prompt set, mention rate, SOAV, and competitor displacement. | Published after rescan |
| Super Pixel proof | AI-referred traffic connected to calls, forms, and booked jobs. | Published with attribution evidence |
| Franchise repair | Wrong-location recommendation fixed and validated by rescan. | Published after location audit |
Case-study template
- Business type, market, and scan date.
- Baseline: which AI engines named competitors instead.
- Fix sprint: reviews, listings, entity profile, schema, GBP, data, press, or accuracy repair.
- Rescan: what changed and what did not change.
- Attribution: calls, forms, bookings, CRM notes, or Super Pixel events.
- Honest limitation: no guaranteed AI placement and no unsupported revenue claims.
First gallery buildout
- 10 pilot accounts across plumbers, HVAC, roofers, dentists/med spas, and lawyers.
- 3 franchise/multi-location audits focused on wrong-location risk.
- 1 public benchmark per niche once sample sizes are credible.