AI Decision Layer for Brands

Find out why AI engines recommend your competitors first.

Verdict turns missed recommendations from ChatGPT, Perplexity, Gemini, and Google AI Overviews into ranked Decision cards with evidence, projected lift, and human-reviewed fix paths.

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Signal: Prompt variants
Signal: Citation evidence
Signal: On-site + off-site causes
Signal: Projected SoM lift

Problem

Mention share is a scoreboard. It is not a mechanism.

AI search visibility is no longer just ranking or mentions. Brands need to know what proof the model trusted and which intervention can change the recommendation.

Dashboards show the loss

Mention share tells you the competitor appeared first. It rarely explains the evidence chain that made the model trust them.

Generic fixes do not move citations

Publishing another broad comparison page will not fix a lost slot when the trusted source is a review badge, forum thread, or category video.

Off-site evidence often decides the recommendation

AI engines lean on off-site presence across G2, Reddit, Wikipedia, YouTube, and third-party category pages when choosing who to recommend.

Teams need the next action, not another leaderboard

Verdict converts prompt losses into a ranked queue of fixes with projected Share of Model lift and a human review path.

Decision cards

The surface for turning a lost prompt into the next best fix.

Verdict tells you who won.

Verdict shows which evidence the model trusted.

Verdict ranks the fix by likely Share of Model lift.

Lost slot

best HIPAA-compliant CRM

Competitor winner: CareLoop CRM

Brand

Winner

Evidence

G2 badge

High Performer for Healthcare CRM, refreshed this quarter.

Evidence

Reddit thread

Three recent practitioner mentions tied to compliance workflows.

Evidence

YouTube/category source

Comparison video cited for implementation risk and support quality.

Diagnosis

On-site cause: compliance page lacks implementation proof and role-specific language.

Off-site cause: competitor has fresher review evidence in cited category sources.

Recommendation

Run a review push + publish an expert response

+18 to +24 SoM points in 60 days

Workflow

From prompt class to reviewed fix path.

Verdict connects monitoring, evidence extraction, diagnosis, and deployment review in one operating loop.

Run prompt classes

Seed prompts become tracked variants across AI engines.

Build the citation graph

Verdict extracts entities, sources, and recommendation positions.

Diagnose the mechanism

Verdict compares citations, site issues, and off-site presence.

Ship reviewed fixes

WordPress/GitHub PR paths for on-site work; outreach and review workflows for off-site work.

Why Verdict

Built for the decisions behind AI visibility.

Mechanism over mentions

Off-site evidence included

Counter-factual previews

Human-reviewed deployment

Prompt-class monitoring

Built for brand teams and agencies

Use cases

One evidence model for teams that need to act.

Each audience gets the same underlying explanation layer, shaped around the decisions they need to make.

Brand marketers

Prioritize prompt losses by projected lift.

Agency strategists

Turn AI visibility analysis into client-ready briefs.

Founders and operators

Learn which proof sources AI engines trust before spending budget.

Stop guessing why AI engines skip your brand.

Bring a prompt you care about. Verdict will show the evidence path behind the recommendation.

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FAQ

Questions brand teams ask first.

How is Verdict different from a GEO dashboard?

Verdict explains why a brand lost a recommendation slot and what to fix, not only mention share.

Which AI engines does Verdict track?

Verdict is positioned around ChatGPT, Perplexity, Gemini, and Google AI Overviews / AI search surfaces.

Does Verdict only recommend website changes?

No. It separates on-site issues from off-site presence gaps such as review platforms, Reddit, Wikipedia/Wikidata, YouTube, and cited third-party pages.

Can Verdict make changes automatically?

No. Fixes are human-reviewed before anything ships.

What is Share of Model?

A position-weighted measure of how often and how prominently a brand appears in AI-generated recommendations.

Who is Verdict for?

Brand marketers, agency strategists, and operators responsible for AI visibility and demand capture.