Five categories · one AI Trust Score

Your Google reviews are an AI signal. Score them.

An AI-powered audit of any Google Business Profile. We benchmark you against your three closest local competitors and hand back an action plan — not a vanity number.

Run a live scan → See a sample
Powered by full review history + Claude · ~30 seconds per scan
Sample scorecard

This is what your client sees.

A real scorecard layout with sample numbers. Your business goes where the placeholder is — no other business's data on display.

ai-business-scorecard — sample report
72/100

Your Business Here

Strong
AI Trust Score · weighted across 5 categories
Review Healthdeterministic
78/100 · Strong

Healthy volume and steady velocity, but recency is starting to fade — a few months of fresh reviews would lift this.

  • Volume82
  • Velocity71
  • Recency80
Content Qualityllm
64/100 · Moderate

Reviews lean positive but generic. Few name the specific service performed or the outcome, which weakens what AI models can attribute to you.

  • Specificity12
  • Service naming11
  • Outcomes13
Response Behaviorllm
58/100 · Moderate

Replies are warm and professional, but only about half of reviews get a response — and a couple of low-star ones went unanswered.

  • Response rate52%
  • Low-star50%
  • Tone84
AI Signal Strengthdeterministic
81/100 · Strong

NAP is consistent and the category is specific. Adding more owner photos and a few Q&A answers would push this into Excellent.

  • NAP30
  • Photos19
  • Category23

Local Competitor Benchmark

Rank #2 of 4 · 66th percentile among your closest local competitors

BusinessComposite
Competitor A75.0
Your Business Here (you)72.0
Competitor B58.0
Competitor C51.0

Top Recommendations

  • P1Reply to every review within 48 hoursResponse Behaviorlow effort

    Respond to all reviews — especially the 1–3★ ones — gracefully and specifically. The biggest single-step gain on your score.

  • P2Coach reviewers toward specificsContent Qualitymedium effort

    Prompt happy customers to name the exact service and outcome — "what did we do and how did it go?" — so AI models have something concrete to attribute.

  • P3Rebuild review velocityReview Healthmedium effort

    Ask 3–5 recent customers per week for a review to restore recency and keep the signal fresh.

The scorecard

Five categories. One AI Trust Score.

Every signal AI models like ChatGPT and Google AI Overviews use to decide which local business to recommend.

01

Review Health

Volume, velocity, and recency — weighted by decay so old wins don't carry you forever.

02

Content Quality

Are reviews specific? Do they name your services and outcomes? Keyword coverage by industry.

03

Response Behavior

Response rate, tone, and how you handle 1–3★ reviews. Defensive responses cost you points.

04

AI Signal Strength

NAP consistency, photos, Q&A, category clarity — what AI models actually parse to recommend you.

05

Competitor Benchmark

Your three closest direct competitors — same category, same neighborhood, no national chains — scored side by side.

AI Trust Score

All five roll up into one weighted 0–100 score, with a written action plan for every weak signal.

How it works

From URL to action plan.

Step 01

Paste a profile

Drop in any Google Business Profile link. We resolve the business and pull its full review history.

Step 02

We scan & benchmark

Reviews, metadata, and the three closest local competitors — scored across all five categories in ~30 seconds.

Step 03

Get the action plan

Every weak signal comes back with an AI-written recommendation, prioritized by impact — not just a number.

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