Buying question
Design a contract-review benchmark for legal AI using known clauses, missing terms, conflicts, defined terms, playbooks, redlines, and explanations.
Which brands each model API named when asked this question, and which pages it cited. Answer text is not published.
Commercial
Kind of question
3
Model APIs
0
Brands named
0
Pages cited
Brands
Brands the answers named
Ordered by how many model APIs named the brand, then by mentions. A mention is not an endorsement or a position.
| Rank# | Brand | Model APIs | Mentions | Named by |
|---|
Model APIs
What each model API returned
One row per model API. The hash identifies the exact answer without publishing it.
| Model API | Model | Brands named | Citations | Domains | Answer hash |
|---|---|---|---|---|---|
| OpenAI | openai/gpt-4o-mini | None named | 0 | 0 | 5ae8358b…1f5de |
| Anthropic | anthropic/claude-haiku-4-5 | None named | 0 | 0 | e8c57cee…690f6 |
| google/gemini-2.5-flash | None named | 0 | 0 | d016788e…23414 |
- Snapshots
6ac46c52-fc97-471a-be80-39f96828351a- Question set
legal-ai-platforms-2026-07-27- Benchmark version
4-legal-ai-platforms-2026-07-27-models-64232fd32583- What is kept
- Measured in Legal AI. Full answers are not stored or published, and no customer data is included.
See how often AI names you.
Enter your website. In about two minutes, Rank.ai asks ChatGPT, Claude and Gemini 12 questions your customers ask and grades how often they name you.
- Your grade out of 100How often AI names you, cites your site, and how high it ranks you.
- Who gets namedEvery competitor in the answers, most named first.
- The pages AI readsThe sources behind each answer.
- Three fixesWhat to fix first, with a brief for the first article.