New York City · Personal Injury
Gair, Gair, Conason, Rubinowitz, Bloom, Hershenhorn, Steigman & Mackauf
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.
Rank
#1
of 37 firms
Recommendation Share
8.0%
±2.2% (95% CI)
Cross-LLM Consensus
2/4
LLMs cited this firm
Tier
🟡 Mid-tier47 citations · consensus 1.94
90-day rank trend
Lower is better. Each point is one snapshot. Hover any dot for the snapshot date.
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
38
of 50 slots
ChatGPT
9
of 50 slots
Gemini
0
of 50 slots
Perplexity
0
of 50 slots
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.
Citation log
Every citation traces back to a verbatim LLM response. Verbatim sources are available to authenticated subscribers.
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