BUYER PROMPT / PUBLISHED EVIDENCE
Create a reproducible evaluation for AI meeting assistants covering word accuracy, speakers, jargon, decisions, action items, and hallucinations.
An exact prompt-level view of which reviewed brands surfaced and which public URLs the configured AI models cited. No answer text or tenant data is published.
- Intent
- commercial
- Model providers
- 3
- Categories
- 1
- Last observed
- Jul 27, 2026, 12:00 AM UTC
COMPETITIVE OUTCOME
Brands surfaced
Ordered by provider breadth, then total mentions and owned-domain citations. A mention is not an endorsement or a position claim.
| # | Brand | Category | Providers | Mentions | Owned citations | Provider evidence |
|---|
MODEL COMPARISON
Answer matrix
One row per configured provider and category snapshot. Hashes prove answer identity without publishing stored answer text.
| Provider | Model version | Category | Brands surfaced | Citations | Unique domains | Answer hash |
|---|---|---|---|---|---|---|
| Openai | openai/gpt-4o-mini | Meeting AI | None observed | 0 | 0 | 6b21df6f…aafe3 |
| Anthropic | anthropic/claude-haiku-4-5 | Meeting AI | None observed | 5 | 5 | 0ac413bb…fe50b |
| Gemini | google/gemini-2.5-flash | Meeting AI | None observed | 0 | 0 | 599a089b…2b80e |
URL-DERIVED CITATIONS
Sources cited
Hostnames are derived from the returned public URLs. Best position is the smallest citation position observed.
| Domain | Cited page | Best position | Providers | Observations | Categories |
|---|---|---|---|---|---|
| llamaindex.ai | https://llamaindex.ai/glossary/extraction-accuracy-benchmarking ↗ | 1 | Anthropic | 1 | Meeting AI |
| youtube.com | https://youtube.com/watch?v=fjOG7gF7DG0 ↗ | 2 | Anthropic | 1 | Meeting AI |
| arxiv.org | https://arxiv.org/html/2602.12247v2 ↗ | 3 | Anthropic | 1 | Meeting AI |
| slds-lmu.github.io | https://slds-lmu.github.io/seminar_nlp_ss20/resources-and-benchmarks-for-nlp.html ↗ | 4 | Anthropic | 1 | Meeting AI |
| ruder.io | https://ruder.io/nlp-benchmarking/ ↗ | 5 | Anthropic | 1 | Meeting AI |