The brand named most for each public buying question, and how many of the three model APIs agree.
Prompt intelligence
AI engine disagreement by prompt
20 prompts ranked by how differently the three model APIs answer them.
93.3%
What AI model API platform should an early-stage startup evaluate first? ranks first
Cross engine brand disagreement
20
Prompts ranked
Sep 10
Snapshot recorded
2026 · Rotating schedule
3
Answers behind each row
From the OpenAI, Anthropic and Google model APIs
All 20 prompts by cross engine brand disagreement
What AI model API platform should an early-stage startup evaluate first? leads at 93.3%; the middle of the board sits at 78.9%.
- Ahead of second place
- 1.7%
- Held by the top three
- 19%
- Middle of the board
- 78.9%
- Below half the leader
- 1 of 20
Rank, name and cross engine brand disagreementMiddle 78.9%
- 1What AI model API platform should an early-stage startup evaluate first?93.3%
- 2Which hosted AI inference platforms offer the lowest latency?91.7%
- 3Recommend a reliable hosted model API for a customer-facing product.91.7%
- 4How do major LLM API platforms compare on pricing and rate limits?90.5%
- 5Which AI model API providers are strongest for enterprise software teams?87.5%
- 6Which LLM API providers have the best global availability and uptime?86.1%
- 7Compare the leading AI model APIs for production use.85.7%
- 8Which LLM API platforms have the best developer experience?85.7%
- 9Create a shortlist of AI model API vendors for a technical buying team.83.3%
- 10Recommend hosted AI APIs for high-throughput batch inference.80.0%
- 11Which platforms are best for hosting open-weight models behind an API?77.8%
- 12Recommend the best multimodal model APIs for text and image workflows.77.8%
- 13Which AI model APIs offer the strongest context windows and tool use?66.7%
- 14What are the best platforms for routing requests across multiple AI models?66.7%
- 15Compare AI platforms that support managed fine-tuning and custom models.66.7%
- 16Recommend AI model API providers for regulated enterprise workloads.66.7%
- 17What are the best LLM API platforms for a production application?56.9%
- 18Compare AI model API providers on security, privacy, and compliance.50.0%
- 19What are the most cost-effective LLM API providers at scale?47.0%
- 20Compare hosted model platforms for observability and production controls.0.0%
The prompt boards are re-run in rotation, about one category a day, so each board refreshes every few weeks and shows the date of its snapshot.
leading brand consensus: 66.666667 on 14 of 20 rows · leading brand owned citation coverage: 0 on 12 of 20 rows · 3 checks behind each row.
Why this rank
Compare hosted model platforms for observability and production controls. on AI Engine Disagreement by Prompt
Snapshot of Sep 10, 2026, 12:00 AM UTC · Link to this snapshot
Derives prompt-level brand leaders, cross-engine brand-set disagreement, and leading-brand owned-citation opportunity from the complete public Rank.ai benchmark cohort.
20
Rank on this board
0 presence_events
Score
3
Answers behind the score
100% confidence · 1 of 1 components evidenced
What the score is built from
1 of 1 evidencedEvery component evidenced · 1 evidence record each
| Component | Value | Contribution |
|---|---|---|
| Engine disagreement | 0 | 0 |
Moved down since the previous snapshot
-2 places- Engine disagreement66.667 to 0-66.667
- Leading brand consensus33.333 to 0-33.333
- Leading brand owned citation gap33.333 to 0-33.333
- Presence events2 to 0-2
- Distinct reviewed brands2 to 0-2
- Citation URLS14 to 15+1
- Leading brand owned citation coverage0 to 00
Where each number comes from
7 public recordsReviewed-brand presence eventsPresence events · observed Sep 10, 2026, 12:00 AM UTC0 presence_events100% confidence
- Source
- Rank.ai AI API Brands Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"promptSlug":"model-api-observability","corpusVersion":"ai-model-api-platforms-2026-07-26","runArtifactIds":["90afb246-464c-438b-8a23-931725adb1be","8f8b4ddd-4dd0-42c8-af55-7c01bea9ef6a","9356f8c2-dfc7-4251-a722-dff29eef74fa"],"parentSnapshotId":"5822220c-0bc2-456a-a7a8-9bcfe3108738","providerMatrixVersion":"64232fd32583"}
Distinct citation URLsCitation URLS · observed Sep 10, 2026, 12:00 AM UTC15 urls100% confidence
- Source
- Rank.ai AI API Brands Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"promptSlug":"model-api-observability","corpusVersion":"ai-model-api-platforms-2026-07-26","runArtifactIds":["90afb246-464c-438b-8a23-931725adb1be","8f8b4ddd-4dd0-42c8-af55-7c01bea9ef6a","9356f8c2-dfc7-4251-a722-dff29eef74fa"],"parentSnapshotId":"5822220c-0bc2-456a-a7a8-9bcfe3108738","providerMatrixVersion":"64232fd32583"}
Distinct reviewed brands surfacedDistinct reviewed brands · observed Sep 10, 2026, 12:00 AM UTC0 brands100% confidence
- Source
- Rank.ai AI API Brands Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"promptSlug":"model-api-observability","corpusVersion":"ai-model-api-platforms-2026-07-26","runArtifactIds":["90afb246-464c-438b-8a23-931725adb1be","8f8b4ddd-4dd0-42c8-af55-7c01bea9ef6a","9356f8c2-dfc7-4251-a722-dff29eef74fa"],"parentSnapshotId":"5822220c-0bc2-456a-a7a8-9bcfe3108738","providerMatrixVersion":"64232fd32583"}
Cross-engine brand disagreementEngine disagreement · observed Sep 10, 2026, 12:00 AM UTC0 percent100% confidence
- Source
- Rank.ai AI API Brands Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"promptSlug":"model-api-observability","corpusVersion":"ai-model-api-platforms-2026-07-26","runArtifactIds":["90afb246-464c-438b-8a23-931725adb1be","8f8b4ddd-4dd0-42c8-af55-7c01bea9ef6a","9356f8c2-dfc7-4251-a722-dff29eef74fa"],"parentSnapshotId":"5822220c-0bc2-456a-a7a8-9bcfe3108738","providerMatrixVersion":"64232fd32583"}
Leading-brand engine consensusLeading brand consensus · observed Sep 10, 2026, 12:00 AM UTC0 percent100% confidence
- Source
- Rank.ai AI API Brands Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"promptSlug":"model-api-observability","corpusVersion":"ai-model-api-platforms-2026-07-26","runArtifactIds":["90afb246-464c-438b-8a23-931725adb1be","8f8b4ddd-4dd0-42c8-af55-7c01bea9ef6a","9356f8c2-dfc7-4251-a722-dff29eef74fa"],"parentSnapshotId":"5822220c-0bc2-456a-a7a8-9bcfe3108738","providerMatrixVersion":"64232fd32583"}
Leading-brand owned-citation coverageLeading brand owned citation coverage · observed Sep 10, 2026, 12:00 AM UTC0 percent100% confidence
- Source
- Rank.ai AI API Brands Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"promptSlug":"model-api-observability","corpusVersion":"ai-model-api-platforms-2026-07-26","runArtifactIds":["90afb246-464c-438b-8a23-931725adb1be","8f8b4ddd-4dd0-42c8-af55-7c01bea9ef6a","9356f8c2-dfc7-4251-a722-dff29eef74fa"],"parentSnapshotId":"5822220c-0bc2-456a-a7a8-9bcfe3108738","providerMatrixVersion":"64232fd32583"}
Leading-brand owned-citation opportunityLeading brand owned citation gap · observed Sep 10, 2026, 12:00 AM UTC0 percentage_points100% confidence
- Source
- Rank.ai AI API Brands Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"promptSlug":"model-api-observability","corpusVersion":"ai-model-api-platforms-2026-07-26","runArtifactIds":["90afb246-464c-438b-8a23-931725adb1be","8f8b4ddd-4dd0-42c8-af55-7c01bea9ef6a","9356f8c2-dfc7-4251-a722-dff29eef74fa"],"parentSnapshotId":"5822220c-0bc2-456a-a7a8-9bcfe3108738","providerMatrixVersion":"64232fd32583"}
More in Prompt intelligence
Prompt winners, engine disagreement, volatility, commercial intent, and source gaps.
Prompts where the leading reviewed brand appears across engines but its own domains are not cited.
Buying questions ranked by how much their answers moved since the previous snapshot: a new leader, or a shift in how far the model APIs agree.
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.