Reviewed brands ranked by the share of all the category's answers that name or cite them.
Brand leaderboards
AI model and API brand rank
17 companies ranked by how often answers to recommendation questions name or cite them.
52.8%
OpenAI ranks first
Recommendation prompt presence
17
Companies ranked
Sep 10
Snapshot recorded
2026 · Rotating schedule
36
Answers behind each row
From the OpenAI, Anthropic and Google model APIs
All 17 companies by recommendation prompt presence
OpenAI leads at 52.8%; the middle of the board sits at 13.9%.
- Ahead of second place
- 16.7%
- Held by the top three
- 40%
- Middle of the board
- 13.9%
- Below half the leader
- 12 of 17
Rank, name and recommendation prompt presenceMiddle 13.9%
- 1OpenAI52.8%
- 2Anthropic36.1%
- 3Google Gemini33.3%
- 4Hugging Face30.6%
- 5Fireworks AI27.8%
- 6Together AI25.0%
- 7Mistral AI22.2%
- 8OpenRouter16.7%
- 9Microsoft Azure AI13.9%
- 10Groq13.9%
- 11Cohere11.1%
- 12DeepSeek8.3%
- 13Amazon Bedrock5.6%
- 14Cerebras2.8%
- 15Replicate2.8%
- 16xAI2.8%
- 17Perplexity AI0.0%
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.
engines: 3 on 9 of 17 rows · 36 checks behind each row · 100% confidence across rows.
| Rank | Name | Recommendation prompt presence | Mention coverage | Share of names | Cited as source | Change | Why |
|---|---|---|---|---|---|---|---|
| 01 | OpenAI | 52.8% | 55% · 33 / 60 | 18.86% · 33 / 175 | 32.43% · 12 / 37 | This rankMy rank | |
| 02 | Anthropic | 36.1% | 38.33% · 23 / 60 | 13.14% · 23 / 175 | 0% · 0 / 37 | This rankMy rank | |
| 03 | Google Gemini | 33.3% | 36.67% · 22 / 60 | 12.57% · 22 / 175 | 2.7% · 1 / 37 | This rankMy rank | |
| 04 | Hugging Face | 30.6% | 20% · 12 / 60 | 6.86% · 12 / 175 | 5.41% · 2 / 37 | 3 | This rankMy rank |
| 05 | Fireworks AI | 27.8% | 20% · 12 / 60 | 6.86% · 12 / 175 | 24.32% · 9 / 37 | This rankMy rank | |
| 06 | Together AI | 25.0% | 21.67% · 13 / 60 | 7.43% · 13 / 175 | 18.92% · 7 / 37 | 2 | This rankMy rank |
| 07 | Mistral AI | 22.2% | 20% · 12 / 60 | 6.86% · 12 / 175 | 0% · 0 / 37 | 1 | This rankMy rank |
| 08 | OpenRouter | 16.7% | 15% · 9 / 60 | 5.14% · 9 / 175 | 5.41% · 2 / 37 | 1 | This rankMy rank |
| 09 | Microsoft Azure AI | 13.9% | 16.67% · 10 / 60 | 5.71% · 10 / 175 | 8.11% · 3 / 37 | 3 | This rankMy rank |
| 10 | Groq | 13.9% | 10% · 6 / 60 | 3.43% · 6 / 175 | 0% · 0 / 37 | This rankMy rank | |
| 11 | Cohere | 11.1% | 8.33% · 5 / 60 | 2.86% · 5 / 175 | 2.7% · 1 / 37 | This rankMy rank | |
| 12 | DeepSeek | 8.3% | 11.67% · 7 / 60 | 4% · 7 / 175 | 0% · 0 / 37 | This rankMy rank | |
| 13 | Amazon Bedrock | 5.6% | 8.33% · 5 / 60 | 2.86% · 5 / 175 | 0% · 0 / 37 | This rankMy rank | |
| 14 | Cerebras | 2.8% | 3.33% · 2 / 60 | 1.14% · 2 / 175 | 0% · 0 / 37 | ShowingMy rank | |
| 15 | Replicate | 2.8% | 3.33% · 2 / 60 | 1.14% · 2 / 175 | 0% · 0 / 37 | This rankMy rank | |
| 16 | xAI | 2.8% | 3.33% · 2 / 60 | 1.14% · 2 / 175 | 0% · 0 / 37 | 1 | This rankMy rank |
| 17 | Perplexity AI | 0.0% | 0% · 0 / 60 | 0% · 0 / 175 | 0% · 0 / 37 | 1 | This rankMy rank |
Compare brands
One brand against up to three competitors, answer by answer
20 questions × 3 model APIs · recorded Sep 10, 2026
Compared 4 of 4
55.0%
of these answers name or cite OpenAI
33 of 60 answers
36.7%
Its share of the compared brands' appearances
8
Answers citing its own site
12 links to its domains
3 of 3
Model APIs that name it
| Brand | Named or cited | Against primary | Share of compared | Mentions | Answers citing it | Links to its site | Model APIs |
|---|---|---|---|---|---|---|---|
| OpenAIopenai.com | 55.0%33 of 60 | Primary | 36.7% | 67 | 8 | 12 | 3 of 3 |
| Anthropicanthropic.com | 38.3%23 of 60 | -16.7 pts | 25.6% | 70 | 0 | 0 | 3 of 3 |
| Google Geminiai.google.dev | 36.7%22 of 60 | -18.3 pts | 24.4% | 42 | 1 | 1 | 3 of 3 |
| Mistral AImistral.ai | 20.0%12 of 60 | -35.0 pts | 13.3% | 21 | 0 | 0 | 3 of 3 |
Every answer
Which compared brands each answer names
20 questions · 60 answers · a blank cell names none of the compared brands
| Question | OpenAIopenai/gpt-4o-mini | Anthropicanthropic/claude-haiku-4-5 | Geminigoogle/gemini-2.5-flash |
|---|---|---|---|
| 01What are the best LLM API platforms for a production application?Recommendation | OpenAIAnthropicGoogle Gemini 4 sources 2235dd2e | OpenAIAnthropicGoogle Gemini 5 sources d077653b | OpenAIAnthropicGoogle GeminiMistral AI 6 sources 00684f71 |
| 02Which AI model API providers are strongest for enterprise software teams?Recommendation | OpenAIAnthropicGoogle Gemini 5 sources ab7da215 | None named 0 sources 0429a678 | OpenAI, cited 1AnthropicGoogle Gemini 8 sources 3ba1ca9c |
| 03Recommend a reliable hosted model API for a customer-facing product.Recommendation | OpenAI 7 sources a16209ec | None named 0 sources e98726c8 | None named 5 sources 69524a1a |
| 04Which hosted AI inference platforms offer the lowest latency?Recommendation | OpenAIGoogle Gemini 7 sources 78abde5c | None named 0 sources 408c192d | OpenAI 6 sources 58da7c96 |
| 05What are the most cost-effective LLM API providers at scale?Recommendation | OpenAIAnthropicGoogle GeminiMistral AI 4 sources 1b69ff72 | OpenAIAnthropicGoogle GeminiMistral AI 5 sources e44cb797 | OpenAIAnthropicMistral AI 7 sources de6a6c8f |
| 06Recommend the best multimodal model APIs for text and image workflows.Recommendation | OpenAIAnthropicGoogle Gemini 5 sources bf7d4acc | None named 0 sources 45f1e50a | OpenAIGoogle Gemini 8 sources 9a171a06 |
| 07Which platforms are best for hosting open-weight models behind an API?Recommendation | OpenAIMistral AI 4 sources 5388bbe1 | None named 0 sources 41f1fe13 | Mistral AI 8 sources 66ec1e8b |
| 08What AI model API platform should an early-stage startup evaluate first?Recommendation | OpenAIAnthropic 5 sources d3f445b6 | None named 0 sources 09ba05d0 | OpenAI, cited 1Google Gemini 8 sources b1de94ed |
| 09Recommend AI model API providers for regulated enterprise workloads.Recommendation | Mistral AI 4 sources 2a542acd | None named 0 sources 98671535 | None named 7 sources 3b33d933 |
| 10Which LLM API platforms have the best developer experience?Recommendation | OpenAIAnthropicGoogle GeminiMistral AI 5 sources 6b51b2da | None named 0 sources d8dd484f | OpenAI, cited 1Anthropic 6 sources 1f178c65 |
| 11What are the best platforms for routing requests across multiple AI models?Recommendation | None named 7 sources fab9a424 | None named 0 sources adc51aae | None named 7 sources bf6a33a0 |
| 12Recommend hosted AI APIs for high-throughput batch inference.Recommendation | None named 7 sources 86332944 | None named 0 sources 6cd218d8 | OpenAIAnthropic 9 sources c689db09 |
| 13Compare the leading AI model APIs for production use.Commercial comparison | OpenAI, cited 3AnthropicGoogle Gemini 5 sources ae6cf75c | None named 0 sources 3f49f39b | OpenAIAnthropicGoogle Gemini 8 sources 24319439 |
| 14How do major LLM API platforms compare on pricing and rate limits?Commercial comparison | OpenAIGoogle Gemini 6 sources 126b8751 | None named 0 sources ccfc39c8 | OpenAIAnthropicGoogle GeminiMistral AI 8 sources 48552630 |
| 15Compare AI model API providers on security, privacy, and compliance.Commercial comparison | OpenAI, cited 3Anthropic 5 sources 557b7f1d | OpenAIAnthropic 0 sources 9467f756 | OpenAI 6 sources af9b8586 |
| 16Which AI model APIs offer the strongest context windows and tool use?Commercial comparison | OpenAI, cited 1AnthropicGoogle Gemini 7 sources 6bac2505 | None named 0 sources 8d2a7495 | OpenAI, cited 1AnthropicGoogle Gemini, cited 1 7 sources d160589b |
| 17Compare hosted model platforms for observability and production controls.Commercial comparison | None named 7 sources f9bcd7f9 | None named 0 sources 77de141d | None named 8 sources b0d6e96b |
| 18Which LLM API providers have the best global availability and uptime?Commercial comparison | OpenAIAnthropicGoogle GeminiMistral AI 5 sources 8f896dc0 | None named 0 sources 9851cf14 | OpenAIGoogle GeminiMistral AI 7 sources 5bfd590e |
| 19Compare AI platforms that support managed fine-tuning and custom models.Commercial comparison | None named 0 sources 08e07a59 | None named 0 sources acb5d1bf | OpenAI, cited 1 10 sources 02e7f3d7 |
| 20Create a shortlist of AI model API vendors for a technical buying team.Commercial comparison | OpenAIAnthropicGoogle GeminiMistral AI 7 sources 49c1a390 | None named 0 sources 017d1e17 | OpenAIAnthropicGoogle Gemini 8 sources 4f654709 |
Sources
The sites these answers cite
Each site is read from the cited address itself.
| Site | Answers citing it | Distinct pages | Model APIs | Best position |
|---|---|---|---|---|
| youtube.com | 11 | 9 | 2 | 1 |
| reddit.com | 10 | 10 | 2 | 1 |
| medium.com | 8 | 8 | 3 | 2 |
| siliconflow.com | 8 | 6 | 2 | 2 |
| fireworks.ai | 8 | 1 | 2 | 2 |
| together.ai | 6 | 5 | 2 | 1 |
| datacamp.com | 6 | 1 | 2 | 1 |
| openai.com | 5 | 8 | 2 | 1 |
| truefoundry.com | 5 | 5 | 2 | 1 |
| braintrust.dev | 5 | 2 | 2 | 4 |
| cloud.google.com | 4 | 4 | 2 | 1 |
| digitalocean.com | 4 | 2 | 2 | 1 |
| artificialanalysis.ai | 4 | 2 | 2 | 2 |
| inworld.ai | 4 | 2 | 2 | 3 |
| linkedin.com | 3 | 3 | 3 | 3 |
| github.com | 3 | 2 | 2 | 1 |
| bentoml.com | 3 | 2 | 2 | 3 |
| aimlapi.com | 3 | 2 | 2 | 4 |
| intuitionlabs.ai | 3 | 2 | 2 | 4 |
| costgoat.com | 3 | 1 | 2 | 1 |
What this report publishesThe public buying questions, the brands each answer names, the sources it cites and a fingerprint of each answer. Answer text is not published, and no customer data is in it.ai-model-api-platforms-2026-07-26 / 4-ai-model-api-platforms-2026-07-26-models-64232fd32583
Why this rank
Cerebras on AI Model & API Brand Rank
Snapshot of Sep 10, 2026, 12:00 AM UTC · Link to this snapshot
Ranks a reviewed AI API Brands brand universe using a fixed, public set of neutral commercial prompts across 3 AI providers.
14
Rank on this board
2.778 percent
Score
36
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 |
|---|---|---|
| Recommendation presence | 2.777778 | 2.778 |
Unchanged since the previous snapshot
No change in rankNo component moved since the previous snapshot.
Where each number comes from
13 public recordsAnthropic mention coverageAnthropic brand mention coverage · observed Sep 10, 2026, 12:00 AM UTC0 percent100% confidence
- Source
- Rank.ai AI API Brands Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Anthropic recommendation-prompt presenceAnthropic brand recommendation presence · observed Sep 10, 2026, 12:00 AM UTC0 percent100% confidence
- Source
- Rank.ai AI API Brands Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"ai-model-api-platforms-2026-07-26","runArtifactIds":["bed675b4-80df-435a-b299-4c57d81da036","9b50c90a-9d06-4415-a19d-73d3d5d67a17","be62b61b-6110-435f-8c4b-b201d7f9b05b","0a333155-083a-4337-a624-68505becdc17","693ba6c1-5168-4cd8-95a9-051fbb17acb4","56d0f7c1-553c-42d5-9d85-44d4a3ad05b4","4db54d7e-2f2d-4452-b3e3-74706782aa6f","9d1212d8-8f69-4759-ae64-c9ea59d4d8c4","6342061c-6f59-4d46-8969-d14e3312be1d","f9c48b0c-6578-4d74-85f2-a1dcb5a37b18","9c0daf05-d84b-4894-9f41-33c5e7b5fce2","ac1a51e8-8503-4bde-a2c4-5c4f7992d776","bbfa2865-822f-49ee-b4ff-70301286b3c1","fbfa43cf-01bc-45a2-95dc-88a5d215e974","68d77028-65fd-429a-bf33-5db6561afb4c","fd62d851-2cae-453a-9ac6-5c0fee210bf7","16f18b8c-2288-4383-bca8-3ad4b2530356","ab4215d7-9d55-4455-b44e-9dff4674c6f2","7a437849-5976-4817-bfa6-89d224e5e988","044de9ef-8a67-458a-a7c2-2c3e6a4255b3","d2351fe4-d4a6-42e2-9d97-f42c49a07b42","c354a0be-7a17-4ade-b463-5076169a254a","2bc8e7a9-a1c5-495f-8118-0e9c8c7c2439","f879121a-1879-47d7-b58b-0a819b5b66e4","28ea656e-00d1-49f8-be1b-b75373724a98","c13a822d-0bfb-45bb-8efb-d3a973bb5bab","fac34ef2-17d3-4193-83b5-01fcc72d680b","1eb1e3f9-bfe9-4908-b277-b333f567e3fb","0e6118d7-2897-48b0-acf2-402a23774e4d","4e0dc99a-e1b9-4a74-99fd-574a92fc135a","c88f5127-d0e9-4cf2-ac00-6803e6908156","8ddca2b9-8d84-4e09-bfe6-4967c8c1d03d","4e268815-712a-4be6-949f-bd88280ec238","3f8f011f-92ef-4c90-8e3b-1e888a608e84","455a5df0-75a6-431e-8e36-413bac1b76f4","eba5dc63-5347-459c-a7f5-c32a9537d90d","107230ae-c958-4a88-9d34-39e910a4217d","5b12e6e1-7ab0-416a-9eb5-b7955f7e9389","5209b766-40fc-47da-a834-79f82f3af083","686f8f70-6f6f-46db-89a7-51ed7d8e0acd","4026a42a-da9a-4f18-bb08-8440bea4078d","e717d668-8c5d-433b-a891-fa8dd577bf9a","7e048177-2819-4be1-bbaa-717f70e668d0","f2ad7cf0-0749-491a-ac3a-3e267c9c03d0","fd55d3c2-8319-4147-9cc4-f27b94a0a256","f449786e-f01e-47ba-ae7a-e5c2d6aaf804","f1d9b588-7153-4e77-8dfe-17680a5fbcf9","ace7ebc4-bf74-4027-9530-39a900dbc41a","9356f8c2-dfc7-4251-a722-dff29eef74fa","90afb246-464c-438b-8a23-931725adb1be","8f8b4ddd-4dd0-42c8-af55-7c01bea9ef6a","4679fc08-ecd1-464d-b81a-a88306c615b2","76262d19-2e80-4015-b4cc-59dfa99a6fbf","2e316595-e3fe-4c1b-ab76-f4d1ca4e5075","5a9ae728-8d13-487d-966d-d5a4f3e16564","7e940125-38e0-4277-a8bd-a7192c01ee07","ca8404e0-4915-4cea-84b2-300678073392","e8484a34-b888-4641-b58d-ae47905f1f9d","b1464397-7643-46b0-b84f-02bca81533bb","17c3c4df-f5f2-4a44-9545-24ff613b500c"],"benchmarkVersion":"4-ai-model-api-platforms-2026-07-26-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Citation shareCitation share · observed Sep 10, 2026, 12:00 AM UTC0 percent100% confidence
- Source
- Rank.ai AI API Brands Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Engine breadthEngine breadth · observed Sep 10, 2026, 12:00 AM UTC2 engines100% confidence
- Source
- Rank.ai AI API Brands Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Mention coverageMention coverage · observed Sep 10, 2026, 12:00 AM UTC3.333 percent100% confidence
- Source
- Rank.ai AI API Brands Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Reviewed-brand presence shareMention share · observed Sep 10, 2026, 12:00 AM UTC1.143 percent100% confidence
- Source
- Rank.ai AI API Brands Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Recommendation-prompt presenceRecommendation presence · observed Sep 10, 2026, 12:00 AM UTC2.778 percent100% confidence
- Source
- Rank.ai AI API Brands Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Gemini citation shareGemini brand citation share · observed Sep 10, 2026, 12:00 AM UTC0 percent100% confidence
- Source
- Rank.ai AI API Brands Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Gemini mention coverageGemini brand mention coverage · observed Sep 10, 2026, 12:00 AM UTC5 percent100% confidence
- Source
- Rank.ai AI API Brands Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Gemini recommendation-prompt presenceGemini brand recommendation presence · observed Sep 10, 2026, 12:00 AM UTC0 percent100% confidence
- Source
- Rank.ai AI API Brands Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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OpenAI citation shareOpenAI brand citation share · observed Sep 10, 2026, 12:00 AM UTC0 percent100% confidence
- Source
- Rank.ai AI API Brands Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"ai-model-api-platforms-2026-07-26","runArtifactIds":["bed675b4-80df-435a-b299-4c57d81da036","9b50c90a-9d06-4415-a19d-73d3d5d67a17","be62b61b-6110-435f-8c4b-b201d7f9b05b","0a333155-083a-4337-a624-68505becdc17","693ba6c1-5168-4cd8-95a9-051fbb17acb4","56d0f7c1-553c-42d5-9d85-44d4a3ad05b4","4db54d7e-2f2d-4452-b3e3-74706782aa6f","9d1212d8-8f69-4759-ae64-c9ea59d4d8c4","6342061c-6f59-4d46-8969-d14e3312be1d","f9c48b0c-6578-4d74-85f2-a1dcb5a37b18","9c0daf05-d84b-4894-9f41-33c5e7b5fce2","ac1a51e8-8503-4bde-a2c4-5c4f7992d776","bbfa2865-822f-49ee-b4ff-70301286b3c1","fbfa43cf-01bc-45a2-95dc-88a5d215e974","68d77028-65fd-429a-bf33-5db6561afb4c","fd62d851-2cae-453a-9ac6-5c0fee210bf7","16f18b8c-2288-4383-bca8-3ad4b2530356","ab4215d7-9d55-4455-b44e-9dff4674c6f2","7a437849-5976-4817-bfa6-89d224e5e988","044de9ef-8a67-458a-a7c2-2c3e6a4255b3","d2351fe4-d4a6-42e2-9d97-f42c49a07b42","c354a0be-7a17-4ade-b463-5076169a254a","2bc8e7a9-a1c5-495f-8118-0e9c8c7c2439","f879121a-1879-47d7-b58b-0a819b5b66e4","28ea656e-00d1-49f8-be1b-b75373724a98","c13a822d-0bfb-45bb-8efb-d3a973bb5bab","fac34ef2-17d3-4193-83b5-01fcc72d680b","1eb1e3f9-bfe9-4908-b277-b333f567e3fb","0e6118d7-2897-48b0-acf2-402a23774e4d","4e0dc99a-e1b9-4a74-99fd-574a92fc135a","c88f5127-d0e9-4cf2-ac00-6803e6908156","8ddca2b9-8d84-4e09-bfe6-4967c8c1d03d","4e268815-712a-4be6-949f-bd88280ec238","3f8f011f-92ef-4c90-8e3b-1e888a608e84","455a5df0-75a6-431e-8e36-413bac1b76f4","eba5dc63-5347-459c-a7f5-c32a9537d90d","107230ae-c958-4a88-9d34-39e910a4217d","5b12e6e1-7ab0-416a-9eb5-b7955f7e9389","5209b766-40fc-47da-a834-79f82f3af083","686f8f70-6f6f-46db-89a7-51ed7d8e0acd","4026a42a-da9a-4f18-bb08-8440bea4078d","e717d668-8c5d-433b-a891-fa8dd577bf9a","7e048177-2819-4be1-bbaa-717f70e668d0","f2ad7cf0-0749-491a-ac3a-3e267c9c03d0","fd55d3c2-8319-4147-9cc4-f27b94a0a256","f449786e-f01e-47ba-ae7a-e5c2d6aaf804","f1d9b588-7153-4e77-8dfe-17680a5fbcf9","ace7ebc4-bf74-4027-9530-39a900dbc41a","9356f8c2-dfc7-4251-a722-dff29eef74fa","90afb246-464c-438b-8a23-931725adb1be","8f8b4ddd-4dd0-42c8-af55-7c01bea9ef6a","4679fc08-ecd1-464d-b81a-a88306c615b2","76262d19-2e80-4015-b4cc-59dfa99a6fbf","2e316595-e3fe-4c1b-ab76-f4d1ca4e5075","5a9ae728-8d13-487d-966d-d5a4f3e16564","7e940125-38e0-4277-a8bd-a7192c01ee07","ca8404e0-4915-4cea-84b2-300678073392","e8484a34-b888-4641-b58d-ae47905f1f9d","b1464397-7643-46b0-b84f-02bca81533bb","17c3c4df-f5f2-4a44-9545-24ff613b500c"],"benchmarkVersion":"4-ai-model-api-platforms-2026-07-26-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
OpenAI mention coverageOpenAI brand mention coverage · observed Sep 10, 2026, 12:00 AM UTC5 percent100% confidence
- Source
- Rank.ai AI API Brands Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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OpenAI recommendation-prompt presenceOpenAI brand recommendation presence · observed Sep 10, 2026, 12:00 AM UTC8.333 percent100% confidence
- Source
- Rank.ai AI API Brands Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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More in Brand leaderboards
Recommendation share, prominence, citations, sentiment, and competitive wins.
Reviewed brands ranked by answer-level citations to their reviewed domains.
Reviewed brands ranked by how many of the three model APIs name or cite them.
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.