AI search optimization for agencies

Reverb AI Visibility Scorecard

A one-shot report that shows where search-grounded AI answers cite competitors but not your client. Built for teardown audits, outbound proof, and free scan lead magnets.

Start a scorecard View $99 report credit

25 prompts: default buyer-intent set
K=5: samples per prompt
40 labels: validation queue

Source-gap map

AI Visibility ScorecardSample report

Acme Support

customer support software audit for acmesupport.example

TrustedPrint-ready HTML

Visibility rate

38%

48/125 sampled answers

Sample design

25 x 5

buyer-intent prompts, repeated

Surface

Sonar

Perplexity Sonar API

Judge agreement

91%

40 hand-labeled answers

Share of voice

Acme Support48/125 · 38%

Helpwise71/125 · 57%

Northdesk54/125 · 43%

Ticketbay39/125 · 31%

Prominence

Primary recommendation

11 answers · 9%

Listed

28 answers · 22%

Passing mention

9 answers · 7%

Absent

77 answers · 62%

Citation-source map

Primary action surface

Domain	Answer share	Target cites	Competitor pull	Gap
g2.com	44%	1	Helpwise, Northdesk	Competitors cited in comparison lists where the target is absent.
forrester.com	22%	0	Helpwise	Authority source appears in recommendation answers but never cites target.
supportbench.io	18%	0	Ticketbay	Competitor education content feeds buyer-intent answers.

Not a tracker dashboard

The MVP is the scoring engine and the proof artifact.

Reverb does not chase parity with multi-engine monitors. It focuses on the atomic report agencies can use to explain why a brand is missing from AI answers.

Sampled visibility rate

Each buyer-intent prompt is run repeatedly, so the report shows mention rate and sample size instead of a fragile yes/no answer.

Share of voice

Named competitors are judged against the same answer samples, making the client gap visible without adding a dashboard.

Prominence

The report separates primary recommendations, listed vendors, passing mentions, and absence.

Citation-source map

Domains that feed AI answers are grouped by target citations, competitor pull, and competitor-only gaps.

Primary differentiator

Source gaps turn AI visibility into an action list.

The report maps the domains AI answers rely on, then marks which sources cite the target brand, which cite competitors, and which competitor-only domains are pulling the category narrative away from the client.

Category sources

Target citations

Competitor-only gaps

Transparent methodology

API surface, search-grounded, sampled, validated.

Validation badge included in every report

Step 1
Enter the target brand, canonical domain, aliases, and named competitors.
Step 2
Paste or generate 20-30 buyer-intent prompts, then approve the final set before spend.
Step 3
Run one search-grounded Sonar surface with K-sampling and structured judging.
Step 4
Hand-label the validation queue before treating the scorecard as trusted.

Pricing

One report credit. One source-gap artifact.

Reverb is sold as a one-time AI Visibility Scorecard report credit for agency teardown work. No subscription, trial ladder, or auto-billing promise in the MVP.

AI Visibility Scorecard

Report credit

One-time

$99per report credit

The public pricing promise is a single consumable report credit. Checkout and credit consumption live in the signed-in flow once Polar is configured.

Buy report credit

What the credit includes

One approved target brand, alias map, and named competitor set
20-30 buyer-intent prompts sampled five times each
Visibility rate, share of voice, and prominence distribution
Citation-source map with competitor-only source gaps
Validation badge based on hand-labeled answer agreement
Unlisted, print-friendly HTML report for client teardown decks

Billing boundary: checkout routes through the signed-in billing flow. A paid Polar order creates one consumable report credit, not a subscription entitlement.