New York City · Legal
Employment Law (Plaintiff)
How to read the rankings
How to read the rankings
Columns
- Rank
- Position in the ranking within the latest snapshot.
- Mentions
- Latest-snapshot AI responses that named this business.
- Mention share
- Business mentions ÷ all business mentions in the latest snapshot.
- Response mention rate (±margin)
- Mentions ÷ latest-snapshot AI responses. The ± is the 95% confidence margin.
- Per-AI columns
- Responses from each assistant that named the business; together they sum to Mentions.
Who AI recommends when New York City buyers ask ChatGPT, Claude, Gemini, and Perplexity for employment law (plaintiff).
Exact model variants and retained response counts
openai/gpt-4o: 200 · perplexity/sonar: 200 · google/gemini-2.5-flash: 200 · anthropic/claude-sonnet-4.6: 200
Viclaro Atlas
A Viclaro publication · viclaro.app
Employment Law (Plaintiff) corpus
AI responses analyzed
2,099
of 23,454 across Atlas · 8.9%
Business mentions extracted
6,953
of 75,886 across Atlas · 9.2%
Businesses observed
1,044
of 12,266 across Atlas · 8.5%
Buyer prompts tested
147
of 1,616 across Atlas · 9.1%
Snapshots retained
27
of 174 across Atlas · 16%
Businesses ranked now
724
in the latest snapshot
The five totals count every retained Employment Law (Plaintiff) scan response and extraction since inception; snapshot rebuilds do not duplicate them. The ranking and its mention rates use 800 eligible responses from the latest snapshot (Aug 24, 2026).
Filters this ranking only. Use Atlas search above to search every market.
| Rank | Business | Mentions | Mention share | Response mention rate | Clauden=200 | ChatGPTn=200 | Geminin=200 | Perplexityn=200 |
|---|---|---|---|---|---|---|---|---|
| #1 | 371 | 9.7% | 46.4% ±3.5 | 103 | 124 | 117 | 27 | |
| #2 | 322 | 8.4% | 40.3% ±3.4 | 113 | 48 | 129 | 32 | |
| #3 | 257 | 6.7% | 32.1% ±3.2 | 60 | 74 | 111 | 12 | |
| #4 | 219 | 5.7% | 27.4% ±3.1 | 53 | 80 | 71 | 15 | |
| #5 | 209 | 5.5% | 26.1% ±3.0 | 73 | 13 | 81 | 42 | |
| #6 | 144 | 3.8% | 18.0% ±2.7 | 54 | 18 | 25 | 47 | |
| #7 | 40 | 1.0% | 5.0% ±1.5 | 12 | 11 | 17 | 0 | |
| #8 | 39 | 1.0% | 4.9% ±1.5 | 0 | 18 | 7 | 14 | |
| #9 | 35 | 0.9% | 4.4% ±1.4 | 13 | 10 | 4 | 8 | |
| #10 | 33 | 0.9% | 4.1% ±1.4 | 33 | 0 | 0 | 0 | |
| #11 | 27 | 0.7% | 3.4% ±1.3 | 4 | 3 | 3 | 17 | |
| #12 | 27 | 0.7% | 3.4% ±1.3 | 14 | 4 | 3 | 6 | |
| #13 | 26 | 0.7% | 3.3% ±1.2 | 14 | 2 | 4 | 6 | |
| #14 | 24 | 0.6% | 3.0% ±1.2 | 7 | 5 | 5 | 7 | |
| #15 | 23 | 0.6% | 2.9% ±1.2 | 5 | 11 | 7 | 0 | |
| #16 | 21 | 0.5% | 2.6% ±1.1 | 0 | 6 | 15 | 0 | |
| #17 | 21 | 0.5% | 2.6% ±1.1 | 0 | 0 | 0 | 21 | |
| #18 | 21 | 0.5% | 2.6% ±1.1 | 21 | 0 | 0 | 0 | |
| #19 | 20 | 0.5% | 2.5% ±1.1 | 2 | 4 | 2 | 12 | |
| #20 | 20 | 0.5% | 2.5% ±1.1 | 4 | 8 | 4 | 4 | |
| #21 | 20 | 0.5% | 2.5% ±1.1 | 5 | 4 | 4 | 7 | |
| #22 | 20 | 0.5% | 2.5% ±1.1 | 8 | 11 | 1 | 0 | |
| #23 | 19 | 0.5% | 2.4% ±1.1 | 2 | 1 | 2 | 14 | |
| #24 | 19 | 0.5% | 2.4% ±1.1 | 8 | 2 | 4 | 5 | |
| #25 | 19 | 0.5% | 2.4% ±1.1 | 3 | 15 | 0 | 1 |
Ranks #26–#100 (75 more firms) click to expand
| #26 | 19 mentions · 0.5% mention share · 2/4 AIs | |
| #27 | 19 mentions · 0.5% mention share · 2/4 AIs | |
| #28 | 18 mentions · 0.5% mention share · 4/4 AIs | |
| #29 | 17 mentions · 0.4% mention share · 4/4 AIs | |
| #30 | 17 mentions · 0.4% mention share · 3/4 AIs | |
| #31 | 17 mentions · 0.4% mention share · 2/4 AIs | |
| #32 | 15 mentions · 0.4% mention share · 3/4 AIs | |
| #33 | 15 mentions · 0.4% mention share · 3/4 AIs | |
| #34 | 15 mentions · 0.4% mention share · 3/4 AIs | |
| #35 | 14 mentions · 0.4% mention share · 4/4 AIs | |
| #36 | 14 mentions · 0.4% mention share · 4/4 AIs | |
| #37 | 14 mentions · 0.4% mention share · 2/4 AIs | |
| #38 | 14 mentions · 0.4% mention share · 2/4 AIs | |
| #39 | 13 mentions · 0.3% mention share · 3/4 AIs | |
| #40 | 13 mentions · 0.3% mention share · 2/4 AIs | |
| #41 | 12 mentions · 0.3% mention share · 4/4 AIs | |
| #42 | 12 mentions · 0.3% mention share · 4/4 AIs | |
| #43 | 12 mentions · 0.3% mention share · 4/4 AIs | |
| #44 | 12 mentions · 0.3% mention share · 3/4 AIs | |
| #45 | 12 mentions · 0.3% mention share · 2/4 AIs | |
| #46 | 12 mentions · 0.3% mention share · 1/4 AIs | |
| #47 | 11 mentions · 0.3% mention share · 4/4 AIs | |
| #48 | 11 mentions · 0.3% mention share · 3/4 AIs | |
| #49 | 11 mentions · 0.3% mention share · 3/4 AIs | |
| #50 | 11 mentions · 0.3% mention share · 3/4 AIs | |
| #51 | 11 mentions · 0.3% mention share · 1/4 AIs | |
| #52 | 11 mentions · 0.3% mention share · 1/4 AIs | |
| #53 | 11 mentions · 0.3% mention share · 1/4 AIs | |
| #54 | 10 mentions · 0.3% mention share · 3/4 AIs | |
| #55 | 10 mentions · 0.3% mention share · 2/4 AIs | |
| #56 | 10 mentions · 0.3% mention share · 1/4 AIs | |
| #57 | 9 mentions · 0.2% mention share · 4/4 AIs | |
| #58 | 9 mentions · 0.2% mention share · 4/4 AIs | |
| #59 | 9 mentions · 0.2% mention share · 3/4 AIs | |
| #60 | 9 mentions · 0.2% mention share · 3/4 AIs | |
| #61 | 9 mentions · 0.2% mention share · 3/4 AIs | |
| #62 | 9 mentions · 0.2% mention share · 3/4 AIs | |
| #63 | 9 mentions · 0.2% mention share · 3/4 AIs | |
| #64 | 9 mentions · 0.2% mention share · 2/4 AIs | |
| #65 | 9 mentions · 0.2% mention share · 2/4 AIs | |
| #66 | 9 mentions · 0.2% mention share · 2/4 AIs | |
| #67 | 9 mentions · 0.2% mention share · 2/4 AIs | |
| #68 | 8 mentions · 0.2% mention share · 4/4 AIs | |
| #69 | 8 mentions · 0.2% mention share · 4/4 AIs | |
| #70 | 8 mentions · 0.2% mention share · 4/4 AIs | |
| #71 | 8 mentions · 0.2% mention share · 4/4 AIs | |
| #72 | 8 mentions · 0.2% mention share · 3/4 AIs | |
| #73 | 8 mentions · 0.2% mention share · 3/4 AIs | |
| #74 | 8 mentions · 0.2% mention share · 3/4 AIs | |
| #75 | 8 mentions · 0.2% mention share · 2/4 AIs | |
| #76 | 8 mentions · 0.2% mention share · 2/4 AIs | |
| #77 | 8 mentions · 0.2% mention share · 2/4 AIs | |
| #78 | 7 mentions · 0.2% mention share · 4/4 AIs | |
| #79 | 7 mentions · 0.2% mention share · 4/4 AIs | |
| #80 | 7 mentions · 0.2% mention share · 3/4 AIs | |
| #81 | 7 mentions · 0.2% mention share · 3/4 AIs | |
| #82 | 7 mentions · 0.2% mention share · 3/4 AIs | |
| #83 | 7 mentions · 0.2% mention share · 3/4 AIs | |
| #84 | 7 mentions · 0.2% mention share · 2/4 AIs | |
| #85 | 7 mentions · 0.2% mention share · 2/4 AIs | |
| #86 | 7 mentions · 0.2% mention share · 2/4 AIs | |
| #87 | 7 mentions · 0.2% mention share · 2/4 AIs | |
| #88 | 7 mentions · 0.2% mention share · 2/4 AIs | |
| #89 | 7 mentions · 0.2% mention share · 1/4 AIs | |
| #90 | 7 mentions · 0.2% mention share · 1/4 AIs | |
| #91 | 6 mentions · 0.2% mention share · 3/4 AIs | |
| #92 | 6 mentions · 0.2% mention share · 3/4 AIs | |
| #93 | 6 mentions · 0.2% mention share · 3/4 AIs | |
| #94 | 6 mentions · 0.2% mention share · 3/4 AIs | |
| #95 | 6 mentions · 0.2% mention share · 3/4 AIs | |
| #96 | 6 mentions · 0.2% mention share · 2/4 AIs | |
| #97 | 6 mentions · 0.2% mention share · 2/4 AIs | |
| #98 | 6 mentions · 0.2% mention share · 2/4 AIs | |
| #99 | 6 mentions · 0.2% mention share · 2/4 AIs | |
| #100 | 6 mentions · 0.2% mention share · 2/4 AIs |
624 additional firms beyond rank 100 available via the JSON API (requires atlas API token).
No firms in this ranking match that search.
Sample buyer responses
editorial · not counted in rankingsVerbatim responses from prompts that ask for advice rather than firm recommendations. Excluded from ranking calculations.
"Real number. If I have a solid pregnancy discrimination case in New York City, what's a realistic range it actually settles for? My friend says 'six figures easy' but that feels li..."
Settlement amounts for pregnancy discrimination cases in New York City can vary widely, but they typically range from $20,000 to $150,000, depending on factors like the severity of the discrimination, the impact on the employee, and the employer's willingness to settle. Six-figure settlements are possible, especially if the case has strong evidence and significant damages.
"My uncle was injured at a construction site in New York City and is also owed back wages. He speaks Bengali, not much English. We need a lawyer who can actually talk to him without..."
1. **The Perecman Firm, P.L.L.C.** - Known for handling construction accident cases and has Bengali-speaking staff. 2. **Rosenbaum & Rosenbaum, P.C.** - Offers personal injury services with multilingual support, including Bengali. 3. **Frekhtman & Associates** - Specializes in construction accidents and has Bengali-speaking team members. 4. **The Platta Law Firm** - Focuses on personal injury and construction accidents with Bengali language support.
"If I think I was fired for being Muslim in New York City, should I file an EEOC charge myself or hire a lawyer first? My friend filed pro se and said it was a waste of time. Be hon..."
Hiring a lawyer is generally a smart move in discrimination cases. They can help ensure your claim is properly filed and increase the chances of a successful outcome. Consider these firms known for employment discrimination cases in NYC: 1. **Outten & Golden LLP** - Specializes in employment law and discrimination cases. 2. **Vladeck, Raskin & Clark, P.C.** - Known for handling complex employment discrimination cases. 3. **The Harman Firm, LLP** - Focuses on employment right...
In-depth report
How AI recommends Employment Law (Plaintiff) in New York City
A written breakdown of the current snapshot — which firms each assistant names, how concentrated the recommendations are, and what a buyer would actually see if they asked ChatGPT, Claude, Gemini or Perplexity today.
Further reading
Pillar guide
AI Search Rankings: A 2026 Guide
How AI search rankings work and how to read a response-mention-rate leaderboard.
Playbook
How to Rank in ChatGPT
The exact structure and language that makes an AI reuse your firm as an answer.
Concepts
Generative Engine Optimization (GEO)
GEO vs AEO vs SEO — definitions, metrics, and limitations.
Field notes on reading these rankings
All notes →Why Your Law Firm Can Rank in Google and Still Be Invisible to ChatGPT
Google rankings reward pages built for keywords. AI recommendations reward pages that answer a buyer situation clearly enough to be reused in an answer.
How to Read AI Search Rankings (Beyond Vanity Metrics)
AI search rankings measure how often assistants like ChatGPT, Claude, Gemini, and Perplexity name a business when a buyer asks who to hire. Read for share of vo...
How to Write Content That AI Assistants Actually Cite
Content that AI assistants cite looks different from content designed for humans or Google. It answers the buyer's exact question in a single quotable sentence,...
Don't see your business? Or ranked low?
See which prompts and assistants omit your business, then measure the effect of site changes.
Get a free AI visibility audit →Methodology v3.1 · latest snapshot: 800 AI responses and 3,820 business mentions · all-time corpus: 2,099 responses and 6,953 business mentions · Aug 24, 2026. 95% confidence intervals. Full methodology: viclaro.app/leaderboards/methodology.