New York City · Divorce & Family Law

Stutman Stutman & Lichtenstein, LLP

How to read this firm's data click to expand

Header tiles

Rank
Position by recommendation share among all firms cited in this category's most recent scan.
Recommendation Share
% of (prompt × model × sample) slots that named this firm. ±X = 95% Wilson CI half-width.
Cross-LLM Consensus
How many of the 4 LLMs (Claude, ChatGPT, Gemini, Perplexity) cited this firm at least once. 4/4 = consensus winner.
Tier
🟢 consensus = clearly above noise · 🟡 mid = real but uncertain · ⚪ below threshold.

Breakdowns + log

90-day trend
Each dot is one snapshot of this category. Lower (= better) rank moves the line down.
Per-LLM breakdown
Number of distinct prompts each model cited the firm on. Empty card = invisible to that model's users.
Per-bucket breakdown
Citations grouped by buyer-intent category. Reveals which question types the firm wins or loses.
Citation log
Every individual citation event — model, prompt, bucket, sample number. Auth-gated source links.

Full methodology →

Rank

#93

of 111 firms

Recommendation Share

0.2%

±0.5% (95% CI)

Cross-LLM Consensus

1/4

LLMs cited this firm

Tier

⚪ Below threshold

1 citations · consensus 0.17

90-day rank trend

Lower is better. Each point is one snapshot. Hover any dot for the snapshot date.

Rank #188 on Jun 25, 2026 Rank #183 on Jun 25, 2026 Rank #183 on Jun 25, 2026 Rank #78 on Jun 26, 2026 Rank #78 on Jun 26, 2026 Rank #89 on Jun 26, 2026 Rank #103 on Jun 26, 2026 Rank #93 on Jun 26, 2026
Jun 25 Rank #78–#188 Jun 26

Per-LLM breakdown

Empty cards = AI assistants in that family don't surface this firm. A firm cited only by one LLM may be invisible to most buyers.

Claude

1

of 50 slots

ChatGPT

0

of 50 slots

Gemini

0

of 50 slots

Perplexity

0

of 50 slots

Single-LLM signal. This firm is cited only by one model — possibly a training-data artifact or a vendor-specific retrieval pattern. Real customer queries to other AI assistants will not surface this firm.

Per-bucket breakdown

Citations split by buyer-intent category. Empty buckets = AI doesn't think of this firm for that question type. The full bar = 40 possible slots per bucket.

Follow Up
1/40

Citation log

Every citation traces back to a verbatim LLM response. Verbatim sources are available to authenticated subscribers.

Claude · lipsky lowe vs pacht vs stutman [validation] sample #2
Claude · lipsky lowe vs pacht vs stutman [validation]
ChatGPT · lipsky lowe vs pacht vs stutman [validation] sample #2
ChatGPT · lipsky lowe vs pacht vs stutman [validation]
Claude · most women partners [follow_up]
perplexity/sonar-pro · pretrial conferences [process]
ChatGPT · should i hire lawyer [conversational] sample #2
ChatGPT · assertive advocacy [style_approach] sample #2
ChatGPT · mediation process [process] sample #2
Claude · top partners [broad_authority] sample #2
ChatGPT · process question [process] sample #2
ChatGPT · top partners [broad_authority] sample #2
ChatGPT · top partners [broad_authority]
ChatGPT · cost concern [conversational] sample #2
perplexity/sonar-pro · aggressive [style_approach] sample #2

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