01
Scope
Atlas measures how often selected AI assistants name businesses in response to a fixed prompt set for a city and category. It does not measure service quality, market share, search traffic, or buyer conversion.
- Observation
- One assistant response
- Scan run
- Prompt × assistant × repetition
- Snapshot
- One published ranking dataset
02
Sampling
Prompts describe buyer situations, constraints, research questions, and selection decisions. Each prompt is sent independently to every assistant in scope and repeated according to the prompt-set protocol.
Crisis
Immediate event
Advice
Whether to act
Situation
Specific circumstances
Constraints
Budget or access
Learning
Process question
Decision
Who to consider
Validation
Check a named firm
Follow-up
Later conversation turn
Bucket names and counts are versioned. Selected prompt wording is published in dated vertical research reports so readers can inspect the context behind a recommendation; the complete operational panel remains restricted.
03
Ranking inclusion
Ranking layer
Prompts that request a business recommendation or evaluation. Citations from these responses determine rank and response mention rate.
Editorial layer
Advice, crisis, learning, or constraint prompts that do not request names. Samples may be published, but they are excluded from ranking calculations.
04
Entity extraction
- 1Parse business and professional names from each response.
- 2Match names to Atlas records using normalized names, aliases, domains, and canonical entity links.
- 3Create an unverified citation-only record when no existing entity matches.
- 4Store the citation with its response, assistant, prompt key, and snapshot source.
Directories and non-business reference sources are excluded from firm rankings.
05
Metrics
Mentions
Eligible responses that named the business.
Response mention rate
mentions ÷ eligible responses. Reported with a 95% Wilson confidence interval.
Mention share
business mentions ÷ all business mentions in the snapshot.
Assistant coverage
Number of tested assistants that named the business at least once.
Rank orders businesses within one snapshot. Comparisons across categories require the underlying rates and sample sizes.
06
Models and snapshots
Claude
anthropic/claude-sonnet-4.6
ChatGPT
openai/gpt-4o
Gemini
google/gemini-2.5-flash
Perplexity
perplexity/sonar
Snapshots retain their prompt-set version, model set, source runs, sample size, and publication date. Published snapshots are not rewritten. A model or prompt-set change starts a new comparison series.
Model change · August 3, 2026
Gemini changed from gemini-2.5-pro to gemini-2.5-flash; Perplexity changed from sonar-pro to sonar. Results on opposite sides of this change are not directly comparable.
07
Prompt sets
Active sets are shown with their published bucket counts. Expand a set for details.
divorce-attorneys v3.1 (8 buckets, 141 prompts)8 buckets · 141 questions v3.1⌄
Advice
12 questions
Crisis
12 questions
Decision
33 questions
Learning
10 questions
Follow Up
16 questions
Situation
23 questions
Validation
25 questions
Constraints
10 questions
personal-injury v3.1 (8 buckets, 155 prompts)8 buckets · 155 questions v3.1⌄
Advice
12 questions
Crisis
16 questions
Decision
33 questions
Learning
10 questions
Follow Up
19 questions
Situation
27 questions
Validation
25 questions
Constraints
13 questions
immigration v3.1 (8 buckets, 155 prompts)8 buckets · 155 questions v3.1⌄
Advice
11 questions
Crisis
15 questions
Decision
36 questions
Learning
11 questions
Follow Up
17 questions
Situation
26 questions
Validation
24 questions
Constraints
15 questions
employment-plaintiff v3.1 (8 buckets, 147 prompts)8 buckets · 147 questions v3.1⌄
Advice
12 questions
Crisis
12 questions
Decision
35 questions
Learning
11 questions
Follow Up
17 questions
Situation
24 questions
Validation
24 questions
Constraints
12 questions
cosmetic-dentistry v1.0 (8 buckets)8 buckets · 141 questions v1.0⌄
Advice
12 questions
Crisis
12 questions
Decision
33 questions
Learning
10 questions
Follow Up
16 questions
Situation
23 questions
Validation
25 questions
Constraints
10 questions
cosmetic-surgery v1.0 (8 buckets)8 buckets · 141 questions v1.0⌄
Advice
12 questions
Crisis
12 questions
Decision
33 questions
Learning
10 questions
Follow Up
16 questions
Situation
23 questions
Validation
25 questions
Constraints
10 questions
ivf v1.0 (8 buckets)8 buckets · 141 questions v1.0⌄
Advice
12 questions
Crisis
12 questions
Decision
33 questions
Learning
10 questions
Follow Up
16 questions
Situation
23 questions
Validation
25 questions
Constraints
10 questions
estate-planning v1.0 (8 buckets)8 buckets · 141 questions v1.0⌄
Advice
12 questions
Crisis
12 questions
Decision
33 questions
Learning
10 questions
Follow Up
16 questions
Situation
23 questions
Validation
25 questions
Constraints
10 questions
real-estate-law v2.0 (5 buckets)5 buckets · 25 questions v2.0⌄
Process
5 questions
Specific Need
5 questions
Conversational
5 questions
Style Approach
5 questions
Broad Authority
5 questions
wealth-management v1.0 (8 buckets)8 buckets · 141 questions v1.0⌄
Advice
12 questions
Crisis
12 questions
Decision
33 questions
Learning
10 questions
Follow Up
16 questions
Situation
23 questions
Validation
25 questions
Constraints
10 questions
advisor-discovery v1.0 (8 buckets)8 buckets · 70 questions v1.0⌄
Advice
7 questions
Crisis
5 questions
Decision
18 questions
Learning
7 questions
Follow Up
6 questions
Situation
10 questions
Validation
12 questions
Constraints
5 questions
cpa v1.0 (8 buckets)8 buckets · 141 questions v1.0⌄
Advice
12 questions
Crisis
12 questions
Decision
33 questions
Learning
10 questions
Follow Up
16 questions
Situation
23 questions
Validation
25 questions
Constraints
10 questions
Archived versions (4)
- Legacy v1.0 (divorce-attorneys) · v1.010 questions · Jun 25, 2026
- divorce-attorneys v2.0 (5 buckets) · v2.025 questions · Jun 25, 2026
- divorce-attorneys v3.0 (5 buckets, 100 prompts) · v3.0100 questions · Jun 25, 2026
- Legacy legal/real-estate-law · v1.00 questions · Jul 23, 2026
08
Access and corrections
Public
- Rankings and confidence intervals
- Per-assistant counts
- Prompt-set versions
- Professional citation tables
Research access
- Response-level records
- Per-prompt breakdowns
- Historical exports
- Custom scan scopes
For data access, factual corrections, or removal requests, email support@viclaro.app. Factual corrections include names, websites, entity matches, and category assignments. Ranking positions are not changed on request.
Atlas and per-brand audits
Atlas reports category-level results from its versioned prompt sets. Per-brand audits use a narrower brand scope and may report conversation-state and keyword-shaped prompt rates separately. Results are comparable only when the prompt and model definitions match.