AI brand engine breadth

As of

All 17 companies by engine breadth

OpenAI leads at 3 engines; the middle of the board sits at 3.

Ahead of second place: 0
Held by the top three: 22%
Middle of the board: 3
Below half the leader: 1 of 17

Rank, name and engine breadthMiddle 3

1OpenAI3 engines
2Anthropic3 engines
3Google Gemini3 engines
4Hugging Face3 engines
5Fireworks AI3 engines
6Together AI3 engines
7Mistral AI3 engines
8OpenRouter3 engines
9DeepSeek3 engines
10Microsoft Azure AI2 engines
11Groq2 engines
12Cohere2 engines
13Amazon Bedrock2 engines
14Cerebras2 engines
15Replicate2 engines
16xAI2 engines
17Perplexity AI0 engines

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 · 3 checks behind each row · 100% confidence across rows.

AI brand engine breadth current rankings
Rank	Name	Engine breadth	Mention coverage	Share of names	Cited as source	Change	Why
01	OpenAI	3 engines	55% · 33 / 60	18.86% · 33 / 175	32.43% · 12 / 37		This rank My rank
02	Anthropic	3 engines	38.33% · 23 / 60	13.14% · 23 / 175	0% · 0 / 37		This rank My rank
03	Google Gemini	3 engines	36.67% · 22 / 60	12.57% · 22 / 175	2.7% · 1 / 37		This rank My rank
04	Hugging Face	3 engines	20% · 12 / 60	6.86% · 12 / 175	5.41% · 2 / 37	2	This rank My rank
05	Fireworks AI	3 engines	20% · 12 / 60	6.86% · 12 / 175	24.32% · 9 / 37		This rank My rank
06	Together AI	3 engines	21.67% · 13 / 60	7.43% · 13 / 175	18.92% · 7 / 37	2	This rank My rank
07	Mistral AI	3 engines	20% · 12 / 60	6.86% · 12 / 175	0% · 0 / 37		This rank My rank
08	OpenRouter	3 engines	15% · 9 / 60	5.14% · 9 / 175	5.41% · 2 / 37		This rank My rank
09	DeepSeek	3 engines	11.67% · 7 / 60	4% · 7 / 175	0% · 0 / 37	1	This rank My rank
10	Microsoft Azure AI	2 engines	16.67% · 10 / 60	5.71% · 10 / 175	8.11% · 3 / 37	2	Showing My rank
11	Groq	2 engines	10% · 6 / 60	3.43% · 6 / 175	0% · 0 / 37	2	This rank My rank
12	Cohere	2 engines	8.33% · 5 / 60	2.86% · 5 / 175	2.7% · 1 / 37	1	This rank My rank
13	Amazon Bedrock	2 engines	8.33% · 5 / 60	2.86% · 5 / 175	0% · 0 / 37	1	This rank My rank
14	Cerebras	2 engines	3.33% · 2 / 60	1.14% · 2 / 175	0% · 0 / 37	1	This rank My rank
15	Replicate	2 engines	3.33% · 2 / 60	1.14% · 2 / 175	0% · 0 / 37	4	This rank My rank
16	xAI	2 engines	3.33% · 2 / 60	1.14% · 2 / 175	0% · 0 / 37	1	This rank My rank
17	Perplexity AI	0 engines	0% · 0 / 60	0% · 0 / 175	0% · 0 / 37	1	This rank My rank

engines: 3 on 9 of 17 rows · 3 checks behind each row · 100% confidence across rows.

AI brand engine breadth current rankings
Rank	Name	Engine breadth	Mention coverage	Share of names	Cited as source	Change	Why
01	OpenAI	3 engines	55% · 33 / 60	18.86% · 33 / 175	32.43% · 12 / 37		This rank My rank
02	Anthropic	3 engines	38.33% · 23 / 60	13.14% · 23 / 175	0% · 0 / 37		This rank My rank
03	Google Gemini	3 engines	36.67% · 22 / 60	12.57% · 22 / 175	2.7% · 1 / 37		This rank My rank
04	Hugging Face	3 engines	20% · 12 / 60	6.86% · 12 / 175	5.41% · 2 / 37	2	This rank My rank
05	Fireworks AI	3 engines	20% · 12 / 60	6.86% · 12 / 175	24.32% · 9 / 37		This rank My rank
06	Together AI	3 engines	21.67% · 13 / 60	7.43% · 13 / 175	18.92% · 7 / 37	2	This rank My rank
07	Mistral AI	3 engines	20% · 12 / 60	6.86% · 12 / 175	0% · 0 / 37		This rank My rank
08	OpenRouter	3 engines	15% · 9 / 60	5.14% · 9 / 175	5.41% · 2 / 37		This rank My rank
09	DeepSeek	3 engines	11.67% · 7 / 60	4% · 7 / 175	0% · 0 / 37	1	This rank My rank
10	Microsoft Azure AI	2 engines	16.67% · 10 / 60	5.71% · 10 / 175	8.11% · 3 / 37	2	Showing My rank
11	Groq	2 engines	10% · 6 / 60	3.43% · 6 / 175	0% · 0 / 37	2	This rank My rank
12	Cohere	2 engines	8.33% · 5 / 60	2.86% · 5 / 175	2.7% · 1 / 37	1	This rank My rank
13	Amazon Bedrock	2 engines	8.33% · 5 / 60	2.86% · 5 / 175	0% · 0 / 37	1	This rank My rank
14	Cerebras	2 engines	3.33% · 2 / 60	1.14% · 2 / 175	0% · 0 / 37	1	This rank My rank
15	Replicate	2 engines	3.33% · 2 / 60	1.14% · 2 / 175	0% · 0 / 37	4	This rank My rank
16	xAI	2 engines	3.33% · 2 / 60	1.14% · 2 / 175	0% · 0 / 37	1	This rank My rank
17	Perplexity AI	0 engines	0% · 0 / 60	0% · 0 / 175	0% · 0 / 37	1	This rank My rank

Primary brandQuestion typeModel APIQuestion contains

Run a question live

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

The compared brands across the filtered answers
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

Compared brands named in each answer, by question and model API
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`

Sites cited in the filtered answers
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

Primary brandQuestion typeModel APIQuestion contains

Run a question live

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

The compared brands across the filtered answers
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

Compared brands named in each answer, by question and model API
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`

Sites cited in the filtered answers
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

Ranks a reviewed AI API Brands brand universe using a fixed, public set of neutral commercial prompts across 3 AI providers.

10

Rank on this board

2 engines

Score

3

Answers behind the score

100% confidence · 1 of 1 components evidenced

What the score is built from

1 of 1 evidenced

Every component evidenced · 1 evidence record each

Components of Microsoft Azure AI's score
Component	Value	Contribution
Engine breadth	2	2

Moved up since the previous snapshot

+2 places

OpenAI brand recommendation presence50 to 16.667
-33.333
OpenAI brand mention coverage50 to 25
-25
Gemini brand mention coverage15 to 25
+10
Gemini brand recommendation presence16.667 to 25
+8.333
Recommendation presence22.222 to 13.889
-8.333
Mention coverage21.667 to 16.667
-5
Mention share7.143 to 5.714
-1.429
OpenAI brand citation share10.526 to 11.765
+1.238
Citation share7.692 to 8.108
+0.416
Anthropic brand mention coverage0 to 0
0
Anthropic brand recommendation presence0 to 0
0
Engine breadth2 to 2
0
Gemini brand citation share5 to 5
0

Where each number comes from

13 public records

Anthropic 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
{"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"}
Open the source
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
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Open the source
Citation shareCitation share · observed Sep 10, 2026, 12:00 AM UTC8.108 percent100% confidence
Source
Rank.ai AI API Brands Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open the source
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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Open the source
Mention coverageMention coverage · observed Sep 10, 2026, 12:00 AM UTC16.667 percent100% confidence
Source
Rank.ai AI API Brands Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open the source
Reviewed-brand presence shareMention share · observed Sep 10, 2026, 12:00 AM UTC5.714 percent100% confidence
Source
Rank.ai AI API Brands Prompt Benchmark
Grade
A
Freshness
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Open the source
Recommendation-prompt presenceRecommendation presence · observed Sep 10, 2026, 12:00 AM UTC13.889 percent100% confidence
Source
Rank.ai AI API Brands Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open the source
Gemini citation shareGemini brand citation share · 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 mention coverageGemini brand mention coverage · observed Sep 10, 2026, 12:00 AM UTC25 percent100% confidence
Source
Rank.ai AI API Brands Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open the source
Gemini recommendation-prompt presenceGemini brand recommendation presence · observed Sep 10, 2026, 12:00 AM UTC25 percent100% confidence
Source
Rank.ai AI API Brands Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open the source
OpenAI citation shareOpenAI brand citation share · observed Sep 10, 2026, 12:00 AM UTC11.765 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"}
Open the source
OpenAI mention coverageOpenAI brand mention coverage · observed Sep 10, 2026, 12:00 AM UTC25 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"}
Open the source
OpenAI recommendation-prompt presenceOpenAI brand recommendation presence · observed Sep 10, 2026, 12:00 AM UTC16.667 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"}
Open the source

Embed this table

Paste this on your site. It shows the latest published snapshot, and the credit line links readers to the full ranking.

<iframe src="https://www.rank.ai/embed/boards/ai-brand-engine-breadth" title="AI brand engine breadth" width="100%" height="420" loading="lazy" style="border:1px solid #111;max-width:720px"></iframe>
<p style="font-size:12px">Source: <a href="https://www.rank.ai/rankings/brands/ai-brand-engine-breadth">AI brand engine breadth</a> by Rank.ai</p>

More in Brand leaderboards

Recommendation share, prominence, citations, sentiment, and competitive wins.

3 boards

AI model/API platform presence

How often three model APIs name or cite each model and API platform when asked a fixed, public set of buying questions.

1OpenAI52.8%
2Anthropic36.1%
3Google Gemini33.3%

AI brand visibility

Reviewed brands ranked by the share of all the category's answers that name or cite them.

1OpenAI55%
2Anthropic38.3%
3Google Gemini36.7%

AI brand citation share

Reviewed brands ranked by answer-level citations to their reviewed domains.

1OpenAI32.4%
2Fireworks AI224.3%
3Together AI18.9%

AI model/API platform presence

How often three model APIs name or cite each model and API platform when asked a fixed, public set of buying questions.

AI brand visibility

Reviewed brands ranked by the share of all the category's answers that name or cite them.

AI brand citation share

Reviewed brands ranked by answer-level citations to their reviewed domains.

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.

AI brand engine breadth

All 17 companies by engine breadth

One brand against up to three competitors, answer by answer

Which compared brands each answer names

The sites these answers cite

One brand against up to three competitors, answer by answer

Which compared brands each answer names

The sites these answers cite

Microsoft Azure AI on AI Brand Engine Breadth

What the score is built from

Moved up since the previous snapshot

Where each number comes from

More in Brand leaderboards

See how often AI names you.

One brand against up to three competitors, answer by answer

Which compared brands each answer names

The sites these answers cite