Annotated sample baseline

How a baseline turns AI answers into an execution map.

This public walkthrough uses real report structure, public-safe report previews, and real screenshot evidence to show how a paid baseline becomes the month-one operating map for the AI Ranking Program.

Download sample baselines Book teardown

Report preview stack

Evidence Pack

Snapshot · 292

Evidence Pack

Dental

Gap · 41

HVAC

Winner · 82

Medspa

Winner · 81

Public thumbnails show the shape of the proof. The PDFs stay gated behind durable lead capture.

Baseline anatomy

The sample shows the map. The paid baseline uses your markets.

Each baseline is built to decide what gets fixed first, then what gets re-measured in the first proof window.

Baseline anatomy

The baseline is the market operating map.

It is not a static PDF. It turns real-device captures into the prioritized work that gets re-measured in the first 14-30 day proof window.

Gap baseline · 41/100

AI respects the dentistry. It does not recommend it first.

The practice is named, but below the practices AI can package as more visible cosmetic specialists.

Winner baseline · 81/100

AI already names the expert. The plan defends the lead.

The answer is strong across engines, so the baseline focuses on drift defense and reputation durability.

Coverage ledger

Markets, services, prompt families, engines, screenshots, and evidence IDs.

Recommendation map

Who AI names first, where you appear, and what reason the engine gives.

Reputation ledger

Review summaries, complaints, stale facts, specialist proof, and trust blockers.

Weighted fix plan

AEO, local SEO, GBP, citations, review, source, and content fixes ordered by likely lift.

Proof re-run

The same market and prompt set is re-captured in the first 14-30 day window.

Ranking grid

Market coverage starts as a real capture matrix.

The public example below shows how one page of the baseline summarizes named, below, winner, and source-truth states without exposing private prompt libraries.

Real capture matrix

Public-safe proof rows from live evidence assets

TopNamedBelow

Veneers dentist

Los Angeles, CA

public same-prompt capture set

ChatGPT

#4 / 25

Named, but below three practices the engine recommends first.

Gemini

#12 / 25

The same practice falls much deeper on Gemini.

Perplexity

#4 / 4

Visible, but last among the cited answer set.

Google Maps

Map truth

The map/profile layer is part of the evidence record.

Garage door repair

Delray Beach, FL

verified movement story

ChatGPT

Held

Not public in this proof row

Gemini

#1 / 40

Karma Garage Door moved from #12 to #1 in 14 days.

Perplexity

Held

Not public in this proof row

Google Maps

Reviews

Engine rationale leads with perfect rating and feedback.

Permanent cosmetics

Middleburg Heights, OH

sample baseline + public proof

ChatGPT

Named

Sample baseline frames this as a winner report.

Gemini

Named

The baseline shows which source signals defend the lead.

Perplexity

#1 / 3

Public proof capture shows the studio first.

Google Maps

Profile

Map/profile facts are checked against AI rationale.

HVAC repair

Energy, IL

sample baseline

ChatGPT

Winner

HVAC sample baseline shows the only locally verifiable answer.

Gemini

Winner

Sample report includes source signals and review proof.

Perplexity

Held

Not public in this proof row

Google Maps

GBP

Google Business Profile and local review data anchor the fix.

Market / prompt	ChatGPT	Gemini	Perplexity	Google Maps
Veneers dentist Los Angeles, CA public same-prompt capture set	#4 / 25 Named, but below three practices the engine recommends first.	#12 / 25 The same practice falls much deeper on Gemini.	#4 / 4 Visible, but last among the cited answer set.	Map truth The map/profile layer is part of the evidence record.
Garage door repair Delray Beach, FL verified movement story	Held Not public in this proof row	#1 / 40 Karma Garage Door moved from #12 to #1 in 14 days.	Held Not public in this proof row	Reviews Engine rationale leads with perfect rating and feedback.
Permanent cosmetics Middleburg Heights, OH sample baseline + public proof	Named Sample baseline frames this as a winner report.	Named The baseline shows which source signals defend the lead.	#1 / 3 Public proof capture shows the studio first.	Profile Map/profile facts are checked against AI rationale.
HVAC repair Energy, IL sample baseline	Winner HVAC sample baseline shows the only locally verifiable answer.	Winner Sample report includes source signals and review proof.	Held Not public in this proof row	GBP Google Business Profile and local review data anchor the fix.

Public proof rows only. Client-specific market matrices replace this with your locations, prompt families, and source maps.

Recommendation displacement

Who AI recommends instead, and why.

The old version showed share bars. The real baseline is more useful: it connects the recommendation, the reason, and the fix path.

AI picked first

A visible competitor set with stronger packaged specialist proof.

You appeared

Named in the answer, but below the recommendation set.

Why

The engine can verify review mass, prominence, and specialty signals elsewhere.

First fix

Make the real expertise machine-readable, review-backed, and source-consistent.

capture drilldown

ChatGPTLos Angeles, CA

#4 of 25

Mobile evidence read

AI named three cosmetic practices first, then placed the target practice below the recommended set.

Open full

Prompt family

“veneers dentist”

What the capture says

AI named three cosmetic practices first, then placed the target practice below the recommended set.

Source type

Google Maps profile + visible specialist proof

Execution lever

Package cosmetic specialty proof, review mass, and before/after portfolio evidence so the engine can justify a higher recommendation.

Public-safe sample from the same-prompt evidence set. Client-specific prompt libraries and source maps stay gated.

Screenshot evidence

Same prompt. Three engines. Different answers.

A static score is not enough. The baseline keeps the capture so the rank, rationale, and source context can be inspected.

Two baseline modes

Gap reports and winner reports answer different questions.

One finds the missing recommendation. The other protects a lead before facts drift, reviews decay, or competitors copy the source signals.

Gap baseline

41/100

AI respects the dentistry. It does not recommend it first.

The practice is named, but below the practices AI can package as more visible cosmetic specialists.

Weighted lever

Specialist proof, review mass, and source packaging.

Winner baseline

81/100

AI already names the expert. The plan defends the lead.

The answer is strong across engines, so the baseline focuses on drift defense and reputation durability.

Weighted lever

Fresh proof, review defense, and source consistency.

AI ranking baseline

Replace the sample data with your markets.

A real-device AI ranking baseline across your markets and categories: every engine, every city, screenshot-backed, and converted into the first weighted execution plan.

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