Proof — Theory Media | One scan, three different answers
Proof

Most scans stop at the score. We start there.

A scan hands anyone the numbers: the rank, the share, the score. The numbers are the easy part. Knowing which one is the actual problem, and what to fix first, is the work. We ran the real scan on three local businesses we have never worked with, and it returned three different problems and three different first moves.

Book a free 25-min call Every figure below traces to a dated scan
What you are looking at

The read is the proof, not a logo wall.

Three real local businesses, pulled from an actual visibility scan on the same day. We have not worked with any of them, so there are no results to claim. What there is, is the diagnosis: the same scan produced a ranking-signal problem, a channel mismatch, and a review-volume gap. Three businesses, three different first moves.

Case 01 · Personal injury law firm · Atlanta

A strong reputation, invisible on the map.

Scan · 07/04/2026
1/49
Map points where it cracks the top 3
2.04%
Its share of local voice
46.94%
The market leader's share, same grid
4.8★ · 300+
Its own rating and review depth
The diagnosis

A ranking-signal problem, not a review problem.

Its review profile is stronger than the competitor holding the number-3 coverage spot, yet it cracks the top 3 at one point in 49. When reputation is already there and the map still filters you out, the bottleneck is the signals driving proximity results: profile category and completeness, service-area configuration, citation consistency, review recency.

The first move

Not more reviews.

A Business Profile ranking audit against the map leaders, to find why a well-reviewed firm is filtered out of the local pack across its own metro. Then convert the review strength it already has into coverage at the radius where it currently disappears. AI visibility is a later lane; the map is where its money is leaking now.

Verified at source · Local Falcon Maps and ChatGPT scans, 07/04/2026 · identity withheld
Case 02 · Plumbing company · Denver

Invisible on the map. Near-dominant in AI.

Scan · 07/04/2026
0%
Google Maps top-3 coverage
42.86%
Share of AI voice in ChatGPT
1.9
Average rank where ChatGPT cites it
17,385
Reviews held by the largest map incumbent
The diagnosis

A channel inversion.

Invisible on Google Maps, near the top in ChatGPT. The Maps grid rewards review volume and multi-location footprint, so incumbents carrying thousands of reviews bury a high-quality shop with under 200, despite its perfect 5.0. AI search weights entity clarity over raw proximity, and there the same business already wins. It has authority the map is not crediting.

The first move

Press the channel it already wins.

Near term, protect and press the AI advantage: lock in the content and entity signals feeding its ChatGPT dominance and treat AI search as its highest-return channel, because it is already winning there. On the map, it cannot out-review a 17,000-review incumbent, so we would not try; the map play is proximity-relevant coverage and steady review velocity, not a head-on volume fight.

Verified at source · Local Falcon Maps and ChatGPT scans, 07/04/2026 · identity withheld
Case 03 · Family dental practice · Phoenix

Present everywhere, competitive nowhere.

Scan · 07/04/2026
11/49
Points where it appears · top 3 at about 1
2.04%
Its share of local voice · avg rank ~15th
28.57%
The coverage leader's share
4.8★ · <100
Its reviews, against rivals at 280 to 1,348
The diagnosis

A review-volume and signal gap.

The opposite shape from the law firm. Broadly present on the map, indexed at 11 of 49 points, but under-powered on ranking, so presence is not converting to top-3 visibility. The most legible deficit is review volume: under 100 against competitors at 280 to 1,348 at similar ratings. It is out-signaled on the axis local results weigh most.

The first move

Build the signal it lacks, in order.

A systematic review-generation engine to close the volume gap, paired with profile optimization to convert its existing 11-point presence into higher ranks rather than mere appearances. It already ranks first in AI on the rare query where it surfaces, so expanding that is a cheap secondary win once the map signals move. Build the missing signal before touching the channel it is already good at.

Verified at source · Local Falcon Maps and ChatGPT scans, 07/04/2026 · identity withheld
Same scan, three verdicts

Where the score stops, the read begins.

The readLaw firm · AtlantaPlumber · DenverDental · Phoenix
What the scan shows Strong reviews, top-3 at 1 of 49 map points 0% map coverage, 42.86% AI voice Present at 11 of 49, top-3 at about 1
The real problem Ranking signals, not reputation Channel mismatch, map vs AI Review volume and signal
The first move Profile ranking audit, not more reviews Press AI, do not fight the map head-on Build review volume first, then convert

A scan hands all three the same sentence: your rank is low. Read correctly, they are three different businesses with three different constraints, and pouring reviews into the one that does not need them, or fighting the map in the one that should be pressing AI, is how growth budgets get burned. Separating them is the work.

Start here

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