Brands in Anthropic model API answers

As of

All 17 companies by anthropic recommendation prompt presence

OpenAI leads at 16.7%; the middle of the board sits at 8.3%.

Ahead of second place: 0%
Held by the top three: 40%
Middle of the board: 8.3%
Below half the leader: 12 of 17

Rank, name and anthropic recommendation prompt presenceMiddle 8.3%

1OpenAI16.7%
2Anthropic16.7%
3Google Gemini16.7%
4OpenRouter16.7%
5Groq16.7%
6Hugging Face8.3%
7Fireworks AI8.3%
8Together AI8.3%
9Mistral AI8.3%
10DeepSeek8.3%
11Microsoft Azure AI0.0%
12Cohere0.0%
13Amazon Bedrock0.0%
14Cerebras0.0%
15Replicate0.0%
16xAI0.0%
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 · 12 checks behind each row · 100% confidence across rows.

Brands in Anthropic model API answers current rankings
Rank	Name	Anthropic recommendation prompt presence	Mention coverage	Share of names	Cited as source	Change	Why
01	OpenAI	16.7%	55% · 33 / 60	18.86% · 33 / 175	32.43% · 12 / 37		This rank My rank
02	Anthropic	16.7%	38.33% · 23 / 60	13.14% · 23 / 175	0% · 0 / 37		This rank My rank
03	Google Gemini	16.7%	36.67% · 22 / 60	12.57% · 22 / 175	2.7% · 1 / 37		This rank My rank
04	OpenRouter	16.7%	15% · 9 / 60	5.14% · 9 / 175	5.41% · 2 / 37	4	This rank My rank
05	Groq	16.7%	10% · 6 / 60	3.43% · 6 / 175	0% · 0 / 37	4	This rank My rank
06	Hugging Face	8.3%	20% · 12 / 60	6.86% · 12 / 175	5.41% · 2 / 37		This rank My rank
07	Fireworks AI	8.3%	20% · 12 / 60	6.86% · 12 / 175	24.32% · 9 / 37	2	This rank My rank
08	Together AI	8.3%	21.67% · 13 / 60	7.43% · 13 / 175	18.92% · 7 / 37	4	Showing My rank
09	Mistral AI	8.3%	20% · 12 / 60	6.86% · 12 / 175	0% · 0 / 37	2	This rank My rank
10	DeepSeek	8.3%	11.67% · 7 / 60	4% · 7 / 175	0% · 0 / 37		This rank My rank
11	Microsoft Azure AI	0.0%	16.67% · 10 / 60	5.71% · 10 / 175	8.11% · 3 / 37		This rank My rank
12	Cohere	0.0%	8.33% · 5 / 60	2.86% · 5 / 175	2.7% · 1 / 37		This rank My rank
13	Amazon Bedrock	0.0%	8.33% · 5 / 60	2.86% · 5 / 175	0% · 0 / 37		This rank My rank
14	Cerebras	0.0%	3.33% · 2 / 60	1.14% · 2 / 175	0% · 0 / 37		This rank My rank
15	Replicate	0.0%	3.33% · 2 / 60	1.14% · 2 / 175	0% · 0 / 37		This rank My rank
16	xAI	0.0%	3.33% · 2 / 60	1.14% · 2 / 175	0% · 0 / 37	1	This rank My rank
17	Perplexity AI	0.0%	0% · 0 / 60	0% · 0 / 175	0% · 0 / 37	1	This rank My rank

engines: 3 on 9 of 17 rows · 12 checks behind each row · 100% confidence across rows.

Brands in Anthropic model API answers current rankings
Rank	Name	Anthropic recommendation prompt presence	Mention coverage	Share of names	Cited as source	Change	Why
01	OpenAI	16.7%	55% · 33 / 60	18.86% · 33 / 175	32.43% · 12 / 37		This rank My rank
02	Anthropic	16.7%	38.33% · 23 / 60	13.14% · 23 / 175	0% · 0 / 37		This rank My rank
03	Google Gemini	16.7%	36.67% · 22 / 60	12.57% · 22 / 175	2.7% · 1 / 37		This rank My rank
04	OpenRouter	16.7%	15% · 9 / 60	5.14% · 9 / 175	5.41% · 2 / 37	4	This rank My rank
05	Groq	16.7%	10% · 6 / 60	3.43% · 6 / 175	0% · 0 / 37	4	This rank My rank
06	Hugging Face	8.3%	20% · 12 / 60	6.86% · 12 / 175	5.41% · 2 / 37		This rank My rank
07	Fireworks AI	8.3%	20% · 12 / 60	6.86% · 12 / 175	24.32% · 9 / 37	2	This rank My rank
08	Together AI	8.3%	21.67% · 13 / 60	7.43% · 13 / 175	18.92% · 7 / 37	4	Showing My rank
09	Mistral AI	8.3%	20% · 12 / 60	6.86% · 12 / 175	0% · 0 / 37	2	This rank My rank
10	DeepSeek	8.3%	11.67% · 7 / 60	4% · 7 / 175	0% · 0 / 37		This rank My rank
11	Microsoft Azure AI	0.0%	16.67% · 10 / 60	5.71% · 10 / 175	8.11% · 3 / 37		This rank My rank
12	Cohere	0.0%	8.33% · 5 / 60	2.86% · 5 / 175	2.7% · 1 / 37		This rank My rank
13	Amazon Bedrock	0.0%	8.33% · 5 / 60	2.86% · 5 / 175	0% · 0 / 37		This rank My rank
14	Cerebras	0.0%	3.33% · 2 / 60	1.14% · 2 / 175	0% · 0 / 37		This rank My rank
15	Replicate	0.0%	3.33% · 2 / 60	1.14% · 2 / 175	0% · 0 / 37		This rank My rank
16	xAI	0.0%	3.33% · 2 / 60	1.14% · 2 / 175	0% · 0 / 37	1	This rank My rank
17	Perplexity AI	0.0%	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.

8

Rank on this board

8.333 percent

Score

12

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 Together AI's score
Component	Value	Contribution
Anthropic brand recommendation presence	8.333333	8.333

Moved down since the previous snapshot

-4 places

OpenAI brand mention coverage25 to 15
-10
OpenAI brand recommendation presence33.333 to 25
-8.333
Gemini brand citation share20 to 25
+5
Citation share15.385 to 18.919
+3.534
Mention coverage25 to 21.667
-3.333
Recommendation presence27.778 to 25
-2.778
OpenAI brand citation share10.526 to 11.765
+1.238
Mention share8.242 to 7.429
-0.813
Anthropic brand mention coverage5 to 5
0
Anthropic brand recommendation presence8.333 to 8.333
0
Engine breadth3 to 3
0
Gemini brand mention coverage45 to 45
0
Gemini brand recommendation presence41.667 to 41.667
0

Where each number comes from

13 public records

Anthropic mention coverageAnthropic 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
{"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 UTC8.333 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 UTC18.919 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 UTC3 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 UTC21.667 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 UTC7.429 percent100% confidence
Source
Rank.ai AI API Brands Prompt Benchmark
Grade
A
Freshness
fresh
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Open the source
Recommendation-prompt presenceRecommendation 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
Gemini citation shareGemini brand citation share · 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 mention coverageGemini brand mention coverage · observed Sep 10, 2026, 12:00 AM UTC45 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 UTC41.667 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 UTC15 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 UTC25 percent100% confidence
Source
Rank.ai AI API Brands Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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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-anthropic-visibility" title="Brands in Anthropic model API answers" 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-anthropic-visibility">Brands in Anthropic model API answers</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.

Brands in Anthropic model API answers

All 17 companies by anthropic recommendation prompt presence

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

Together AI on Brands in Anthropic Model API Answers

What the score is built from

Moved down 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