Reviewed AI customer agent platforms ranked by how often answers to the category's recommendation questions name or cite them, across three model APIs.
AI customer agents
AI Customer Agents brands in Gemini model API answers
12 companies ranked by how often Google's Gemini model API names or cites them.
37.5%
Zendesk AI Agents ranks first
Gemini recommendation prompt presence
12
Companies ranked
Oct 10
Snapshot recorded
2026 · Rotating schedule
8
Answers behind each row
From the OpenAI, Anthropic and Google model APIs
All 12 companies by gemini recommendation prompt presence
Zendesk AI Agents leads at 37.5%; the middle of the board sits at 12.5%.
- Ahead of second place
- 12.5%
- Held by the top three
- 64%
- Middle of the board
- 12.5%
- Below half the leader
- 9 of 12
Rank, name and gemini recommendation prompt presenceMiddle 12.5%
- 1Zendesk AI Agents37.5%
- 2Maven AGI25.0%
- 3Intercom Fin25.0%
- 4Decagon12.5%
- 5Salesforce Agentforce12.5%
- 6Ada12.5%
- 7Kustomer AI Agents12.5%
- 8Cognigy0.0%
- 9PolyAI0.0%
- 10Forethought0.0%
- 11Gorgias AI Agent0.0%
- 12Sierra0.0%
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.
8 checks behind each row · 100% confidence across rows.
| Rank | Name | Gemini recommendation prompt presence | Mention coverage | Share of names | Cited as source | Change | Why |
|---|---|---|---|---|---|---|---|
| 01 | Zendesk AI Agents | 37.5% | 12.5% · 6 / 48 | 18.18% · 6 / 33 | 25% · 6 / 24 | This rankMy rank | |
| 02 | Maven AGI | 25.0% | 14.58% · 7 / 48 | 21.21% · 7 / 33 | 29.17% · 7 / 24 | This rankMy rank | |
| 03 | Intercom Fin | 25.0% | 14.58% · 7 / 48 | 21.21% · 7 / 33 | 20.83% · 5 / 24 | 7 | ShowingMy rank |
| 04 | Decagon | 12.5% | 4.17% · 2 / 48 | 6.06% · 2 / 33 | 8.33% · 2 / 24 | This rankMy rank | |
| 05 | Salesforce Agentforce | 12.5% | 4.17% · 2 / 48 | 6.06% · 2 / 33 | 4.17% · 1 / 24 | 2 | This rankMy rank |
| 06 | Ada | 12.5% | 4.17% · 2 / 48 | 6.06% · 2 / 33 | 8.33% · 2 / 24 | 1 | This rankMy rank |
| 07 | Kustomer AI Agents | 12.5% | 2.08% · 1 / 48 | 3.03% · 1 / 33 | 4.17% · 1 / 24 | 5 | This rankMy rank |
| 08 | Cognigy | 0.0% | 10.42% · 5 / 48 | 15.15% · 5 / 33 | 0% · 0 / 24 | 2 | This rankMy rank |
| 09 | PolyAI | 0.0% | 2.08% · 1 / 48 | 3.03% · 1 / 33 | 0% · 0 / 24 | 2 | This rankMy rank |
| 10 | Forethought | 0.0% | 0% · 0 / 48 | 0% · 0 / 33 | 0% · 0 / 24 | 1 | This rankMy rank |
| 11 | Gorgias AI Agent | 0.0% | 0% · 0 / 48 | 0% · 0 / 33 | 0% · 0 / 24 | This rankMy rank | |
| 12 | Sierra | 0.0% | 0% · 0 / 48 | 0% · 0 / 33 | 0% · 0 / 24 | 4 | This rankMy rank |
Compare brands
One brand against up to three competitors, answer by answer
16 questions × 3 model APIs · recorded Oct 10, 2026
Compared 4 of 4
14.6%
of these answers name or cite Intercom Fin
7 of 48 answers
46.7%
Its share of the compared brands' appearances
5
Answers citing its own site
5 links to its domains
2 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 |
|---|---|---|---|---|---|---|---|
| Intercom Finintercom.com | 14.6%7 of 48 | Primary | 46.7% | 2 | 5 | 5 | 2 of 3 |
| Zendesk AI Agentszendesk.com | 12.5%6 of 48 | -2.1 pts | 40.0% | 0 | 6 | 6 | 2 of 3 |
| Salesforce Agentforcesalesforce.com | 4.2%2 of 48 | -10.4 pts | 13.3% | 1 | 1 | 1 | 2 of 3 |
| Sierrasierra.ai | 0.0%0 of 48 | -14.6 pts | 0.0% | 0 | 0 | 0 | 0 of 3 |
Every answer
Which compared brands each answer names
16 questions · 48 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 |
|---|---|---|---|
| 01Which AI customer service agent platforms are best for resolving requests accurately, taking safe actions, and handing off to people?Recommendation | Intercom Fin, cited 1 10 sources d39263e0 | None named 0 sources f4c9bf5d | Zendesk AI Agents, cited 1 9 sources b70cccc4 |
| 02Recommend an AI customer service agent for a global enterprise that needs governance, permissions, auditability, reliability, and support.Recommendation | None named 6 sources f0bfd414 | None named 0 sources 2ac5175b | Zendesk AI Agents, cited 1 7 sources f20b97e5 |
| 03Which AI support agent is strongest for a software company using product context, account data, technical documentation, and human escalation?Recommendation | Intercom Fin, cited 1 5 sources 41d1b7ba | None named 0 sources 3ed75f2c | Intercom Fin 7 sources e4dae242 |
| 04Recommend an AI customer service agent for ecommerce that can answer questions and safely handle orders, returns, refunds, and exchanges.Recommendation | Zendesk AI Agents, cited 1 7 sources 6c5015d4 | None named 0 sources 0ed43e3f | Intercom Fin, cited 1 10 sources ea86ce01 |
| 05Which AI customer agent platforms are best for high-volume voice and digital contact centers with routing, quality, and workforce workflows?Recommendation | Zendesk AI Agents, cited 1 5 sources 645e4efa | None named 0 sources 32c6b6a2 | Salesforce Agentforce, cited 1 8 sources d597f55f |
| 06Recommend an AI service agent for a regulated business that needs grounded answers, approved actions, privacy controls, and complete audit logs.Recommendation | None named 4 sources 652724b1 | None named 0 sources dcdfb2d2 | None named 10 sources aa1f18f9 |
| 07Which AI customer service agents are strongest for multi-step requests that require identity checks, system actions, exceptions, and approvals?Recommendation | Salesforce Agentforce 5 sources 8f97ae08 | None named 0 sources 73ff6481 | Zendesk AI Agents, cited 1 9 sources dbb9cd30 |
| 08Recommend an AI customer agent for multilingual service across chat, email, messaging, and voice with consistent policy and escalation.Recommendation | None named 7 sources f60c3798 | None named 0 sources 6d00f551 | None named 8 sources 6e32efcf |
| 09Compare AI customer agent platforms on resolution quality, grounding, actions, channels, integrations, safety, analytics, governance, and price.Commercial comparison | None named 6 sources 864d2da1 | None named 0 sources 3a53124c | Intercom Fin 7 sources 9f1b1b04 |
| 10Create a reproducible AI customer agent benchmark covering resolution, accuracy, policy compliance, actions, escalation, latency, and customer effort.Commercial comparison | Intercom Fin, cited 1 7 sources c389ac3f | None named 0 sources 463f2cbe | None named 1 sources 129fb472 |
| 11Design a safety test for AI customer agents using prompt injection, sensitive data, unauthorized actions, uncertainty, rollback, and escalation.Commercial comparison | None named 0 sources f7017ad8 | None named 0 sources 8a979c78 | None named 0 sources d54c75db |
| 12Compare AI customer agents on knowledge ingestion, freshness, citations, permissions, conflicting sources, structured facts, and answer controls.Commercial comparison | None named 8 sources 274a7336 | None named 0 sources af1fd660 | None named 9 sources 46c8de76 |
| 13Compare AI customer agents on help desk, CRM, commerce, identity, billing, order, product, telephony, workflow, and custom API integrations.Commercial comparison | None named 0 sources d0657d33 | None named 0 sources 4999ecc8 | None named 6 sources 0ba2d5fe |
| 14How should a buyer compare AI customer agent pricing across resolutions, conversations, minutes, actions, models, implementation, and support?Commercial comparison | Intercom Fin, cited 1 8 sources 630ec061 | None named 0 sources 88d5761a | None named 6 sources 4113c0f0 |
| 15Which criteria expose knowledge, workflow, action, evaluation, transcript, integration, model, export, and pricing lock-in in an AI customer agent?Commercial comparison | None named 6 sources 6cb43a79 | None named 0 sources ea165ef8 | None named 5 sources 48177ac9 |
| 16Create a shortlist of AI customer agent vendors for a global company standardizing safe autonomous service across brands, regions, and channels.Commercial comparison | None named 6 sources 934aa2ec | None named 0 sources 3b7e36a8 | Zendesk AI Agents, cited 1 7 sources 8e2d9ed6 |
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 |
|---|---|---|---|---|
| fin.ai | 16 | 9 | 2 | 1 |
| kore.ai | 8 | 1 | 2 | 1 |
| mavenagi.com | 7 | 5 | 2 | 1 |
| zendesk.com | 6 | 6 | 2 | 1 |
| intercom.com | 5 | 4 | 2 | 2 |
| lorikeetcx.ai | 5 | 3 | 2 | 1 |
| nextiva.com | 5 | 3 | 2 | 2 |
| youtube.com | 4 | 4 | 2 | 3 |
| agilityportal.io | 4 | 1 | 2 | 1 |
| helply.com | 3 | 3 | 2 | 2 |
| reddit.com | 3 | 3 | 2 | 5 |
| irisagent.com | 3 | 2 | 2 | 1 |
| asapp.com | 3 | 2 | 2 | 2 |
| crescendo.ai | 3 | 2 | 2 | 2 |
| getzowie.com | 3 | 2 | 2 | 2 |
| yuma.ai | 3 | 1 | 1 | 1 |
| mightybot.ai | 2 | 2 | 2 | 1 |
| rank.ai | 2 | 2 | 1 | 1 |
| thelevel.ai | 2 | 2 | 2 | 1 |
| ada.cx | 2 | 2 | 1 | 2 |
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-customer-agent-platforms-2026-07-27 / 4-ai-customer-agent-platforms-2026-07-27-models-64232fd32583
Why this rank
Intercom Fin on AI Customer Agents Brands in Gemini Model API Answers
Snapshot of Oct 10, 2026, 12:00 AM UTC · Link to this snapshot
Ranks a reviewed AI Customer Agents brand universe using a fixed, public set of neutral commercial prompts across 3 AI providers.
3
Rank on this board
25 percent
Score
8
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 |
|---|---|---|
| Gemini brand recommendation presence | 25 | 25 |
Moved up since the previous snapshot
+7 places- Gemini brand recommendation presence0 to 25+25
- OpenAI brand recommendation presence0 to 25+25
- OpenAI brand citation share11.111 to 33.333+22.222
- Gemini brand mention coverage0 to 18.75+18.75
- OpenAI brand mention coverage6.25 to 25+18.75
- Mention share2.632 to 21.212+18.581
- Recommendation presence0 to 16.667+16.667
- Citation share5.263 to 20.833+15.57
- Mention coverage2.083 to 14.583+12.5
- Gemini brand citation share0 to 8.333+8.333
- Engine breadth1 to 2+1
- Anthropic brand mention coverage0 to 00
- Anthropic brand recommendation presence0 to 00
Where each number comes from
13 public recordsAnthropic mention coverageAnthropic brand mention coverage · observed Oct 10, 2026, 12:00 AM UTC0 percent100% confidence
- Source
- Rank.ai AI Customer Agents Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"ai-customer-agent-platforms-2026-07-27","runArtifactIds":["69c998be-df2b-414e-b19a-30b5204de7e8","1b7e7115-c6de-4b89-9b11-0f7bb1936386","22f8bdd1-c5cc-4373-acd7-0ebc93432d22","e9a6c3ee-9ef1-4ba5-9d7d-990747770586","dc39eb7f-c41c-48c2-ada0-622527afa63a","edb0e199-aca8-4724-a77f-74f8ed32abe3","13150099-0a49-4a4c-85cd-eba3bfc598eb","25d70175-92b9-41b1-9945-31db0bbfdfa0","374b8716-4f53-4cf7-962c-9da4e2888493","cef518ea-18ef-4ca7-9769-4bceed41efb7","ff0b62d5-c9e0-455a-8773-fd745e8c3dfa","70956cf6-7089-4021-9a4e-bb1ee9140f2b","5a921f32-e80b-4960-839e-b690d8b1363f","5b40bb22-a993-40f9-b3eb-13034bf21bb6","4e24f6b7-24bf-46ea-ad68-e7a0031c195c","0434a3de-5dee-4415-9681-ad44d52687d9","ba8d2840-e788-4905-9926-9974891c039f","7d3e5033-fa28-45e2-a502-3ddcb48b036d","52cba59f-bfc5-4ee3-877e-a7d470347e25","e4d5576b-6aff-4393-b358-d64756089fd8","6beb85cb-d3fd-490c-84b9-8e7e39f107ac","436dc3bb-d8a8-43e2-a450-c2a60676c7fb","0303699d-4736-4939-bc15-f62cedfab034","b7536789-3d77-47eb-85f8-c0b40aa7782c","8cbeea32-5cdd-4e2a-90b2-920a449dee0d","5d409bed-ed2b-480e-8801-8a6c59b55195","c843dc7a-9aca-46db-9605-f3ab8b711239","e1816bae-0611-42ba-b5fa-236c086118ad","5d5969f5-5522-49fe-8c61-4422035fc6a1","644edbf2-aca4-47c5-b14c-a5ace48c3f40","37a177d1-a26b-4263-9fe2-c464c6512855","af378e3d-abb7-4c37-bd92-eb9c947c5313","439415b8-ba5e-4e32-bea8-8a9f3cae0370","7c2aa9ca-de5d-4bd0-81e1-2dcc571fe903","116479f1-19be-4402-8450-35c41576e539","ed0d5488-d1f3-4697-98cf-d161e7be0a35","c486ad01-37e7-4820-bd37-12f83ae3a008","c75e40e5-72ad-4332-b75b-f3ee4789dbf5","36be0d42-c4f5-4986-b44f-c2b7bc97b574","d439f53d-1e39-49ac-a75b-6a2227fd91f4","360f6308-a189-4321-8e10-c4caccf29191","ae54fc3d-e86d-4cf6-835c-42698c11ed73","a79510e2-8579-4c38-abf4-15ed0f47d62d","64d77c9c-3705-4d43-9359-59e6ba2fbc07","ba9b6dae-33ac-461d-a760-b8b79de68d0d","bf825fdd-5f6f-4483-b4b1-8757df2fe9d1","eee68b3e-bacc-4e1c-bdc8-419fe110911a","7c3498f9-d188-4d7d-b8fe-78cc20a594b2"],"benchmarkVersion":"4-ai-customer-agent-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Anthropic recommendation-prompt presenceAnthropic brand recommendation presence · observed Oct 10, 2026, 12:00 AM UTC0 percent100% confidence
- Source
- Rank.ai AI Customer Agents Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"ai-customer-agent-platforms-2026-07-27","runArtifactIds":["69c998be-df2b-414e-b19a-30b5204de7e8","1b7e7115-c6de-4b89-9b11-0f7bb1936386","22f8bdd1-c5cc-4373-acd7-0ebc93432d22","e9a6c3ee-9ef1-4ba5-9d7d-990747770586","dc39eb7f-c41c-48c2-ada0-622527afa63a","edb0e199-aca8-4724-a77f-74f8ed32abe3","13150099-0a49-4a4c-85cd-eba3bfc598eb","25d70175-92b9-41b1-9945-31db0bbfdfa0","374b8716-4f53-4cf7-962c-9da4e2888493","cef518ea-18ef-4ca7-9769-4bceed41efb7","ff0b62d5-c9e0-455a-8773-fd745e8c3dfa","70956cf6-7089-4021-9a4e-bb1ee9140f2b","5a921f32-e80b-4960-839e-b690d8b1363f","5b40bb22-a993-40f9-b3eb-13034bf21bb6","4e24f6b7-24bf-46ea-ad68-e7a0031c195c","0434a3de-5dee-4415-9681-ad44d52687d9","ba8d2840-e788-4905-9926-9974891c039f","7d3e5033-fa28-45e2-a502-3ddcb48b036d","52cba59f-bfc5-4ee3-877e-a7d470347e25","e4d5576b-6aff-4393-b358-d64756089fd8","6beb85cb-d3fd-490c-84b9-8e7e39f107ac","436dc3bb-d8a8-43e2-a450-c2a60676c7fb","0303699d-4736-4939-bc15-f62cedfab034","b7536789-3d77-47eb-85f8-c0b40aa7782c","8cbeea32-5cdd-4e2a-90b2-920a449dee0d","5d409bed-ed2b-480e-8801-8a6c59b55195","c843dc7a-9aca-46db-9605-f3ab8b711239","e1816bae-0611-42ba-b5fa-236c086118ad","5d5969f5-5522-49fe-8c61-4422035fc6a1","644edbf2-aca4-47c5-b14c-a5ace48c3f40","37a177d1-a26b-4263-9fe2-c464c6512855","af378e3d-abb7-4c37-bd92-eb9c947c5313","439415b8-ba5e-4e32-bea8-8a9f3cae0370","7c2aa9ca-de5d-4bd0-81e1-2dcc571fe903","116479f1-19be-4402-8450-35c41576e539","ed0d5488-d1f3-4697-98cf-d161e7be0a35","c486ad01-37e7-4820-bd37-12f83ae3a008","c75e40e5-72ad-4332-b75b-f3ee4789dbf5","36be0d42-c4f5-4986-b44f-c2b7bc97b574","d439f53d-1e39-49ac-a75b-6a2227fd91f4","360f6308-a189-4321-8e10-c4caccf29191","ae54fc3d-e86d-4cf6-835c-42698c11ed73","a79510e2-8579-4c38-abf4-15ed0f47d62d","64d77c9c-3705-4d43-9359-59e6ba2fbc07","ba9b6dae-33ac-461d-a760-b8b79de68d0d","bf825fdd-5f6f-4483-b4b1-8757df2fe9d1","eee68b3e-bacc-4e1c-bdc8-419fe110911a","7c3498f9-d188-4d7d-b8fe-78cc20a594b2"],"benchmarkVersion":"4-ai-customer-agent-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Citation shareCitation share · observed Oct 10, 2026, 12:00 AM UTC20.833 percent100% confidence
- Source
- Rank.ai AI Customer Agents Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"ai-customer-agent-platforms-2026-07-27","runArtifactIds":["69c998be-df2b-414e-b19a-30b5204de7e8","1b7e7115-c6de-4b89-9b11-0f7bb1936386","22f8bdd1-c5cc-4373-acd7-0ebc93432d22","e9a6c3ee-9ef1-4ba5-9d7d-990747770586","dc39eb7f-c41c-48c2-ada0-622527afa63a","edb0e199-aca8-4724-a77f-74f8ed32abe3","13150099-0a49-4a4c-85cd-eba3bfc598eb","25d70175-92b9-41b1-9945-31db0bbfdfa0","374b8716-4f53-4cf7-962c-9da4e2888493","cef518ea-18ef-4ca7-9769-4bceed41efb7","ff0b62d5-c9e0-455a-8773-fd745e8c3dfa","70956cf6-7089-4021-9a4e-bb1ee9140f2b","5a921f32-e80b-4960-839e-b690d8b1363f","5b40bb22-a993-40f9-b3eb-13034bf21bb6","4e24f6b7-24bf-46ea-ad68-e7a0031c195c","0434a3de-5dee-4415-9681-ad44d52687d9","ba8d2840-e788-4905-9926-9974891c039f","7d3e5033-fa28-45e2-a502-3ddcb48b036d","52cba59f-bfc5-4ee3-877e-a7d470347e25","e4d5576b-6aff-4393-b358-d64756089fd8","6beb85cb-d3fd-490c-84b9-8e7e39f107ac","436dc3bb-d8a8-43e2-a450-c2a60676c7fb","0303699d-4736-4939-bc15-f62cedfab034","b7536789-3d77-47eb-85f8-c0b40aa7782c","8cbeea32-5cdd-4e2a-90b2-920a449dee0d","5d409bed-ed2b-480e-8801-8a6c59b55195","c843dc7a-9aca-46db-9605-f3ab8b711239","e1816bae-0611-42ba-b5fa-236c086118ad","5d5969f5-5522-49fe-8c61-4422035fc6a1","644edbf2-aca4-47c5-b14c-a5ace48c3f40","37a177d1-a26b-4263-9fe2-c464c6512855","af378e3d-abb7-4c37-bd92-eb9c947c5313","439415b8-ba5e-4e32-bea8-8a9f3cae0370","7c2aa9ca-de5d-4bd0-81e1-2dcc571fe903","116479f1-19be-4402-8450-35c41576e539","ed0d5488-d1f3-4697-98cf-d161e7be0a35","c486ad01-37e7-4820-bd37-12f83ae3a008","c75e40e5-72ad-4332-b75b-f3ee4789dbf5","36be0d42-c4f5-4986-b44f-c2b7bc97b574","d439f53d-1e39-49ac-a75b-6a2227fd91f4","360f6308-a189-4321-8e10-c4caccf29191","ae54fc3d-e86d-4cf6-835c-42698c11ed73","a79510e2-8579-4c38-abf4-15ed0f47d62d","64d77c9c-3705-4d43-9359-59e6ba2fbc07","ba9b6dae-33ac-461d-a760-b8b79de68d0d","bf825fdd-5f6f-4483-b4b1-8757df2fe9d1","eee68b3e-bacc-4e1c-bdc8-419fe110911a","7c3498f9-d188-4d7d-b8fe-78cc20a594b2"],"benchmarkVersion":"4-ai-customer-agent-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Engine breadthEngine breadth · observed Oct 10, 2026, 12:00 AM UTC2 engines100% confidence
- Source
- Rank.ai AI Customer Agents Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"ai-customer-agent-platforms-2026-07-27","runArtifactIds":["69c998be-df2b-414e-b19a-30b5204de7e8","1b7e7115-c6de-4b89-9b11-0f7bb1936386","22f8bdd1-c5cc-4373-acd7-0ebc93432d22","e9a6c3ee-9ef1-4ba5-9d7d-990747770586","dc39eb7f-c41c-48c2-ada0-622527afa63a","edb0e199-aca8-4724-a77f-74f8ed32abe3","13150099-0a49-4a4c-85cd-eba3bfc598eb","25d70175-92b9-41b1-9945-31db0bbfdfa0","374b8716-4f53-4cf7-962c-9da4e2888493","cef518ea-18ef-4ca7-9769-4bceed41efb7","ff0b62d5-c9e0-455a-8773-fd745e8c3dfa","70956cf6-7089-4021-9a4e-bb1ee9140f2b","5a921f32-e80b-4960-839e-b690d8b1363f","5b40bb22-a993-40f9-b3eb-13034bf21bb6","4e24f6b7-24bf-46ea-ad68-e7a0031c195c","0434a3de-5dee-4415-9681-ad44d52687d9","ba8d2840-e788-4905-9926-9974891c039f","7d3e5033-fa28-45e2-a502-3ddcb48b036d","52cba59f-bfc5-4ee3-877e-a7d470347e25","e4d5576b-6aff-4393-b358-d64756089fd8","6beb85cb-d3fd-490c-84b9-8e7e39f107ac","436dc3bb-d8a8-43e2-a450-c2a60676c7fb","0303699d-4736-4939-bc15-f62cedfab034","b7536789-3d77-47eb-85f8-c0b40aa7782c","8cbeea32-5cdd-4e2a-90b2-920a449dee0d","5d409bed-ed2b-480e-8801-8a6c59b55195","c843dc7a-9aca-46db-9605-f3ab8b711239","e1816bae-0611-42ba-b5fa-236c086118ad","5d5969f5-5522-49fe-8c61-4422035fc6a1","644edbf2-aca4-47c5-b14c-a5ace48c3f40","37a177d1-a26b-4263-9fe2-c464c6512855","af378e3d-abb7-4c37-bd92-eb9c947c5313","439415b8-ba5e-4e32-bea8-8a9f3cae0370","7c2aa9ca-de5d-4bd0-81e1-2dcc571fe903","116479f1-19be-4402-8450-35c41576e539","ed0d5488-d1f3-4697-98cf-d161e7be0a35","c486ad01-37e7-4820-bd37-12f83ae3a008","c75e40e5-72ad-4332-b75b-f3ee4789dbf5","36be0d42-c4f5-4986-b44f-c2b7bc97b574","d439f53d-1e39-49ac-a75b-6a2227fd91f4","360f6308-a189-4321-8e10-c4caccf29191","ae54fc3d-e86d-4cf6-835c-42698c11ed73","a79510e2-8579-4c38-abf4-15ed0f47d62d","64d77c9c-3705-4d43-9359-59e6ba2fbc07","ba9b6dae-33ac-461d-a760-b8b79de68d0d","bf825fdd-5f6f-4483-b4b1-8757df2fe9d1","eee68b3e-bacc-4e1c-bdc8-419fe110911a","7c3498f9-d188-4d7d-b8fe-78cc20a594b2"],"benchmarkVersion":"4-ai-customer-agent-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Mention coverageMention coverage · observed Oct 10, 2026, 12:00 AM UTC14.583 percent100% confidence
- Source
- Rank.ai AI Customer Agents Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"ai-customer-agent-platforms-2026-07-27","runArtifactIds":["69c998be-df2b-414e-b19a-30b5204de7e8","1b7e7115-c6de-4b89-9b11-0f7bb1936386","22f8bdd1-c5cc-4373-acd7-0ebc93432d22","e9a6c3ee-9ef1-4ba5-9d7d-990747770586","dc39eb7f-c41c-48c2-ada0-622527afa63a","edb0e199-aca8-4724-a77f-74f8ed32abe3","13150099-0a49-4a4c-85cd-eba3bfc598eb","25d70175-92b9-41b1-9945-31db0bbfdfa0","374b8716-4f53-4cf7-962c-9da4e2888493","cef518ea-18ef-4ca7-9769-4bceed41efb7","ff0b62d5-c9e0-455a-8773-fd745e8c3dfa","70956cf6-7089-4021-9a4e-bb1ee9140f2b","5a921f32-e80b-4960-839e-b690d8b1363f","5b40bb22-a993-40f9-b3eb-13034bf21bb6","4e24f6b7-24bf-46ea-ad68-e7a0031c195c","0434a3de-5dee-4415-9681-ad44d52687d9","ba8d2840-e788-4905-9926-9974891c039f","7d3e5033-fa28-45e2-a502-3ddcb48b036d","52cba59f-bfc5-4ee3-877e-a7d470347e25","e4d5576b-6aff-4393-b358-d64756089fd8","6beb85cb-d3fd-490c-84b9-8e7e39f107ac","436dc3bb-d8a8-43e2-a450-c2a60676c7fb","0303699d-4736-4939-bc15-f62cedfab034","b7536789-3d77-47eb-85f8-c0b40aa7782c","8cbeea32-5cdd-4e2a-90b2-920a449dee0d","5d409bed-ed2b-480e-8801-8a6c59b55195","c843dc7a-9aca-46db-9605-f3ab8b711239","e1816bae-0611-42ba-b5fa-236c086118ad","5d5969f5-5522-49fe-8c61-4422035fc6a1","644edbf2-aca4-47c5-b14c-a5ace48c3f40","37a177d1-a26b-4263-9fe2-c464c6512855","af378e3d-abb7-4c37-bd92-eb9c947c5313","439415b8-ba5e-4e32-bea8-8a9f3cae0370","7c2aa9ca-de5d-4bd0-81e1-2dcc571fe903","116479f1-19be-4402-8450-35c41576e539","ed0d5488-d1f3-4697-98cf-d161e7be0a35","c486ad01-37e7-4820-bd37-12f83ae3a008","c75e40e5-72ad-4332-b75b-f3ee4789dbf5","36be0d42-c4f5-4986-b44f-c2b7bc97b574","d439f53d-1e39-49ac-a75b-6a2227fd91f4","360f6308-a189-4321-8e10-c4caccf29191","ae54fc3d-e86d-4cf6-835c-42698c11ed73","a79510e2-8579-4c38-abf4-15ed0f47d62d","64d77c9c-3705-4d43-9359-59e6ba2fbc07","ba9b6dae-33ac-461d-a760-b8b79de68d0d","bf825fdd-5f6f-4483-b4b1-8757df2fe9d1","eee68b3e-bacc-4e1c-bdc8-419fe110911a","7c3498f9-d188-4d7d-b8fe-78cc20a594b2"],"benchmarkVersion":"4-ai-customer-agent-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Reviewed-brand presence shareMention share · observed Oct 10, 2026, 12:00 AM UTC21.212 percent100% confidence
- Source
- Rank.ai AI Customer Agents Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"ai-customer-agent-platforms-2026-07-27","runArtifactIds":["69c998be-df2b-414e-b19a-30b5204de7e8","1b7e7115-c6de-4b89-9b11-0f7bb1936386","22f8bdd1-c5cc-4373-acd7-0ebc93432d22","e9a6c3ee-9ef1-4ba5-9d7d-990747770586","dc39eb7f-c41c-48c2-ada0-622527afa63a","edb0e199-aca8-4724-a77f-74f8ed32abe3","13150099-0a49-4a4c-85cd-eba3bfc598eb","25d70175-92b9-41b1-9945-31db0bbfdfa0","374b8716-4f53-4cf7-962c-9da4e2888493","cef518ea-18ef-4ca7-9769-4bceed41efb7","ff0b62d5-c9e0-455a-8773-fd745e8c3dfa","70956cf6-7089-4021-9a4e-bb1ee9140f2b","5a921f32-e80b-4960-839e-b690d8b1363f","5b40bb22-a993-40f9-b3eb-13034bf21bb6","4e24f6b7-24bf-46ea-ad68-e7a0031c195c","0434a3de-5dee-4415-9681-ad44d52687d9","ba8d2840-e788-4905-9926-9974891c039f","7d3e5033-fa28-45e2-a502-3ddcb48b036d","52cba59f-bfc5-4ee3-877e-a7d470347e25","e4d5576b-6aff-4393-b358-d64756089fd8","6beb85cb-d3fd-490c-84b9-8e7e39f107ac","436dc3bb-d8a8-43e2-a450-c2a60676c7fb","0303699d-4736-4939-bc15-f62cedfab034","b7536789-3d77-47eb-85f8-c0b40aa7782c","8cbeea32-5cdd-4e2a-90b2-920a449dee0d","5d409bed-ed2b-480e-8801-8a6c59b55195","c843dc7a-9aca-46db-9605-f3ab8b711239","e1816bae-0611-42ba-b5fa-236c086118ad","5d5969f5-5522-49fe-8c61-4422035fc6a1","644edbf2-aca4-47c5-b14c-a5ace48c3f40","37a177d1-a26b-4263-9fe2-c464c6512855","af378e3d-abb7-4c37-bd92-eb9c947c5313","439415b8-ba5e-4e32-bea8-8a9f3cae0370","7c2aa9ca-de5d-4bd0-81e1-2dcc571fe903","116479f1-19be-4402-8450-35c41576e539","ed0d5488-d1f3-4697-98cf-d161e7be0a35","c486ad01-37e7-4820-bd37-12f83ae3a008","c75e40e5-72ad-4332-b75b-f3ee4789dbf5","36be0d42-c4f5-4986-b44f-c2b7bc97b574","d439f53d-1e39-49ac-a75b-6a2227fd91f4","360f6308-a189-4321-8e10-c4caccf29191","ae54fc3d-e86d-4cf6-835c-42698c11ed73","a79510e2-8579-4c38-abf4-15ed0f47d62d","64d77c9c-3705-4d43-9359-59e6ba2fbc07","ba9b6dae-33ac-461d-a760-b8b79de68d0d","bf825fdd-5f6f-4483-b4b1-8757df2fe9d1","eee68b3e-bacc-4e1c-bdc8-419fe110911a","7c3498f9-d188-4d7d-b8fe-78cc20a594b2"],"benchmarkVersion":"4-ai-customer-agent-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Recommendation-prompt presenceRecommendation presence · observed Oct 10, 2026, 12:00 AM UTC16.667 percent100% confidence
- Source
- Rank.ai AI Customer Agents Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"ai-customer-agent-platforms-2026-07-27","runArtifactIds":["69c998be-df2b-414e-b19a-30b5204de7e8","1b7e7115-c6de-4b89-9b11-0f7bb1936386","22f8bdd1-c5cc-4373-acd7-0ebc93432d22","e9a6c3ee-9ef1-4ba5-9d7d-990747770586","dc39eb7f-c41c-48c2-ada0-622527afa63a","edb0e199-aca8-4724-a77f-74f8ed32abe3","13150099-0a49-4a4c-85cd-eba3bfc598eb","25d70175-92b9-41b1-9945-31db0bbfdfa0","374b8716-4f53-4cf7-962c-9da4e2888493","cef518ea-18ef-4ca7-9769-4bceed41efb7","ff0b62d5-c9e0-455a-8773-fd745e8c3dfa","70956cf6-7089-4021-9a4e-bb1ee9140f2b","5a921f32-e80b-4960-839e-b690d8b1363f","5b40bb22-a993-40f9-b3eb-13034bf21bb6","4e24f6b7-24bf-46ea-ad68-e7a0031c195c","0434a3de-5dee-4415-9681-ad44d52687d9","ba8d2840-e788-4905-9926-9974891c039f","7d3e5033-fa28-45e2-a502-3ddcb48b036d","52cba59f-bfc5-4ee3-877e-a7d470347e25","e4d5576b-6aff-4393-b358-d64756089fd8","6beb85cb-d3fd-490c-84b9-8e7e39f107ac","436dc3bb-d8a8-43e2-a450-c2a60676c7fb","0303699d-4736-4939-bc15-f62cedfab034","b7536789-3d77-47eb-85f8-c0b40aa7782c","8cbeea32-5cdd-4e2a-90b2-920a449dee0d","5d409bed-ed2b-480e-8801-8a6c59b55195","c843dc7a-9aca-46db-9605-f3ab8b711239","e1816bae-0611-42ba-b5fa-236c086118ad","5d5969f5-5522-49fe-8c61-4422035fc6a1","644edbf2-aca4-47c5-b14c-a5ace48c3f40","37a177d1-a26b-4263-9fe2-c464c6512855","af378e3d-abb7-4c37-bd92-eb9c947c5313","439415b8-ba5e-4e32-bea8-8a9f3cae0370","7c2aa9ca-de5d-4bd0-81e1-2dcc571fe903","116479f1-19be-4402-8450-35c41576e539","ed0d5488-d1f3-4697-98cf-d161e7be0a35","c486ad01-37e7-4820-bd37-12f83ae3a008","c75e40e5-72ad-4332-b75b-f3ee4789dbf5","36be0d42-c4f5-4986-b44f-c2b7bc97b574","d439f53d-1e39-49ac-a75b-6a2227fd91f4","360f6308-a189-4321-8e10-c4caccf29191","ae54fc3d-e86d-4cf6-835c-42698c11ed73","a79510e2-8579-4c38-abf4-15ed0f47d62d","64d77c9c-3705-4d43-9359-59e6ba2fbc07","ba9b6dae-33ac-461d-a760-b8b79de68d0d","bf825fdd-5f6f-4483-b4b1-8757df2fe9d1","eee68b3e-bacc-4e1c-bdc8-419fe110911a","7c3498f9-d188-4d7d-b8fe-78cc20a594b2"],"benchmarkVersion":"4-ai-customer-agent-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Gemini citation shareGemini brand citation share · observed Oct 10, 2026, 12:00 AM UTC8.333 percent100% confidence
- Source
- Rank.ai AI Customer Agents Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"ai-customer-agent-platforms-2026-07-27","runArtifactIds":["69c998be-df2b-414e-b19a-30b5204de7e8","1b7e7115-c6de-4b89-9b11-0f7bb1936386","22f8bdd1-c5cc-4373-acd7-0ebc93432d22","e9a6c3ee-9ef1-4ba5-9d7d-990747770586","dc39eb7f-c41c-48c2-ada0-622527afa63a","edb0e199-aca8-4724-a77f-74f8ed32abe3","13150099-0a49-4a4c-85cd-eba3bfc598eb","25d70175-92b9-41b1-9945-31db0bbfdfa0","374b8716-4f53-4cf7-962c-9da4e2888493","cef518ea-18ef-4ca7-9769-4bceed41efb7","ff0b62d5-c9e0-455a-8773-fd745e8c3dfa","70956cf6-7089-4021-9a4e-bb1ee9140f2b","5a921f32-e80b-4960-839e-b690d8b1363f","5b40bb22-a993-40f9-b3eb-13034bf21bb6","4e24f6b7-24bf-46ea-ad68-e7a0031c195c","0434a3de-5dee-4415-9681-ad44d52687d9","ba8d2840-e788-4905-9926-9974891c039f","7d3e5033-fa28-45e2-a502-3ddcb48b036d","52cba59f-bfc5-4ee3-877e-a7d470347e25","e4d5576b-6aff-4393-b358-d64756089fd8","6beb85cb-d3fd-490c-84b9-8e7e39f107ac","436dc3bb-d8a8-43e2-a450-c2a60676c7fb","0303699d-4736-4939-bc15-f62cedfab034","b7536789-3d77-47eb-85f8-c0b40aa7782c","8cbeea32-5cdd-4e2a-90b2-920a449dee0d","5d409bed-ed2b-480e-8801-8a6c59b55195","c843dc7a-9aca-46db-9605-f3ab8b711239","e1816bae-0611-42ba-b5fa-236c086118ad","5d5969f5-5522-49fe-8c61-4422035fc6a1","644edbf2-aca4-47c5-b14c-a5ace48c3f40","37a177d1-a26b-4263-9fe2-c464c6512855","af378e3d-abb7-4c37-bd92-eb9c947c5313","439415b8-ba5e-4e32-bea8-8a9f3cae0370","7c2aa9ca-de5d-4bd0-81e1-2dcc571fe903","116479f1-19be-4402-8450-35c41576e539","ed0d5488-d1f3-4697-98cf-d161e7be0a35","c486ad01-37e7-4820-bd37-12f83ae3a008","c75e40e5-72ad-4332-b75b-f3ee4789dbf5","36be0d42-c4f5-4986-b44f-c2b7bc97b574","d439f53d-1e39-49ac-a75b-6a2227fd91f4","360f6308-a189-4321-8e10-c4caccf29191","ae54fc3d-e86d-4cf6-835c-42698c11ed73","a79510e2-8579-4c38-abf4-15ed0f47d62d","64d77c9c-3705-4d43-9359-59e6ba2fbc07","ba9b6dae-33ac-461d-a760-b8b79de68d0d","bf825fdd-5f6f-4483-b4b1-8757df2fe9d1","eee68b3e-bacc-4e1c-bdc8-419fe110911a","7c3498f9-d188-4d7d-b8fe-78cc20a594b2"],"benchmarkVersion":"4-ai-customer-agent-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Gemini mention coverageGemini brand mention coverage · observed Oct 10, 2026, 12:00 AM UTC18.75 percent100% confidence
- Source
- Rank.ai AI Customer Agents Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"ai-customer-agent-platforms-2026-07-27","runArtifactIds":["69c998be-df2b-414e-b19a-30b5204de7e8","1b7e7115-c6de-4b89-9b11-0f7bb1936386","22f8bdd1-c5cc-4373-acd7-0ebc93432d22","e9a6c3ee-9ef1-4ba5-9d7d-990747770586","dc39eb7f-c41c-48c2-ada0-622527afa63a","edb0e199-aca8-4724-a77f-74f8ed32abe3","13150099-0a49-4a4c-85cd-eba3bfc598eb","25d70175-92b9-41b1-9945-31db0bbfdfa0","374b8716-4f53-4cf7-962c-9da4e2888493","cef518ea-18ef-4ca7-9769-4bceed41efb7","ff0b62d5-c9e0-455a-8773-fd745e8c3dfa","70956cf6-7089-4021-9a4e-bb1ee9140f2b","5a921f32-e80b-4960-839e-b690d8b1363f","5b40bb22-a993-40f9-b3eb-13034bf21bb6","4e24f6b7-24bf-46ea-ad68-e7a0031c195c","0434a3de-5dee-4415-9681-ad44d52687d9","ba8d2840-e788-4905-9926-9974891c039f","7d3e5033-fa28-45e2-a502-3ddcb48b036d","52cba59f-bfc5-4ee3-877e-a7d470347e25","e4d5576b-6aff-4393-b358-d64756089fd8","6beb85cb-d3fd-490c-84b9-8e7e39f107ac","436dc3bb-d8a8-43e2-a450-c2a60676c7fb","0303699d-4736-4939-bc15-f62cedfab034","b7536789-3d77-47eb-85f8-c0b40aa7782c","8cbeea32-5cdd-4e2a-90b2-920a449dee0d","5d409bed-ed2b-480e-8801-8a6c59b55195","c843dc7a-9aca-46db-9605-f3ab8b711239","e1816bae-0611-42ba-b5fa-236c086118ad","5d5969f5-5522-49fe-8c61-4422035fc6a1","644edbf2-aca4-47c5-b14c-a5ace48c3f40","37a177d1-a26b-4263-9fe2-c464c6512855","af378e3d-abb7-4c37-bd92-eb9c947c5313","439415b8-ba5e-4e32-bea8-8a9f3cae0370","7c2aa9ca-de5d-4bd0-81e1-2dcc571fe903","116479f1-19be-4402-8450-35c41576e539","ed0d5488-d1f3-4697-98cf-d161e7be0a35","c486ad01-37e7-4820-bd37-12f83ae3a008","c75e40e5-72ad-4332-b75b-f3ee4789dbf5","36be0d42-c4f5-4986-b44f-c2b7bc97b574","d439f53d-1e39-49ac-a75b-6a2227fd91f4","360f6308-a189-4321-8e10-c4caccf29191","ae54fc3d-e86d-4cf6-835c-42698c11ed73","a79510e2-8579-4c38-abf4-15ed0f47d62d","64d77c9c-3705-4d43-9359-59e6ba2fbc07","ba9b6dae-33ac-461d-a760-b8b79de68d0d","bf825fdd-5f6f-4483-b4b1-8757df2fe9d1","eee68b3e-bacc-4e1c-bdc8-419fe110911a","7c3498f9-d188-4d7d-b8fe-78cc20a594b2"],"benchmarkVersion":"4-ai-customer-agent-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Gemini recommendation-prompt presenceGemini brand recommendation presence · observed Oct 10, 2026, 12:00 AM UTC25 percent100% confidence
- Source
- Rank.ai AI Customer Agents Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"ai-customer-agent-platforms-2026-07-27","runArtifactIds":["69c998be-df2b-414e-b19a-30b5204de7e8","1b7e7115-c6de-4b89-9b11-0f7bb1936386","22f8bdd1-c5cc-4373-acd7-0ebc93432d22","e9a6c3ee-9ef1-4ba5-9d7d-990747770586","dc39eb7f-c41c-48c2-ada0-622527afa63a","edb0e199-aca8-4724-a77f-74f8ed32abe3","13150099-0a49-4a4c-85cd-eba3bfc598eb","25d70175-92b9-41b1-9945-31db0bbfdfa0","374b8716-4f53-4cf7-962c-9da4e2888493","cef518ea-18ef-4ca7-9769-4bceed41efb7","ff0b62d5-c9e0-455a-8773-fd745e8c3dfa","70956cf6-7089-4021-9a4e-bb1ee9140f2b","5a921f32-e80b-4960-839e-b690d8b1363f","5b40bb22-a993-40f9-b3eb-13034bf21bb6","4e24f6b7-24bf-46ea-ad68-e7a0031c195c","0434a3de-5dee-4415-9681-ad44d52687d9","ba8d2840-e788-4905-9926-9974891c039f","7d3e5033-fa28-45e2-a502-3ddcb48b036d","52cba59f-bfc5-4ee3-877e-a7d470347e25","e4d5576b-6aff-4393-b358-d64756089fd8","6beb85cb-d3fd-490c-84b9-8e7e39f107ac","436dc3bb-d8a8-43e2-a450-c2a60676c7fb","0303699d-4736-4939-bc15-f62cedfab034","b7536789-3d77-47eb-85f8-c0b40aa7782c","8cbeea32-5cdd-4e2a-90b2-920a449dee0d","5d409bed-ed2b-480e-8801-8a6c59b55195","c843dc7a-9aca-46db-9605-f3ab8b711239","e1816bae-0611-42ba-b5fa-236c086118ad","5d5969f5-5522-49fe-8c61-4422035fc6a1","644edbf2-aca4-47c5-b14c-a5ace48c3f40","37a177d1-a26b-4263-9fe2-c464c6512855","af378e3d-abb7-4c37-bd92-eb9c947c5313","439415b8-ba5e-4e32-bea8-8a9f3cae0370","7c2aa9ca-de5d-4bd0-81e1-2dcc571fe903","116479f1-19be-4402-8450-35c41576e539","ed0d5488-d1f3-4697-98cf-d161e7be0a35","c486ad01-37e7-4820-bd37-12f83ae3a008","c75e40e5-72ad-4332-b75b-f3ee4789dbf5","36be0d42-c4f5-4986-b44f-c2b7bc97b574","d439f53d-1e39-49ac-a75b-6a2227fd91f4","360f6308-a189-4321-8e10-c4caccf29191","ae54fc3d-e86d-4cf6-835c-42698c11ed73","a79510e2-8579-4c38-abf4-15ed0f47d62d","64d77c9c-3705-4d43-9359-59e6ba2fbc07","ba9b6dae-33ac-461d-a760-b8b79de68d0d","bf825fdd-5f6f-4483-b4b1-8757df2fe9d1","eee68b3e-bacc-4e1c-bdc8-419fe110911a","7c3498f9-d188-4d7d-b8fe-78cc20a594b2"],"benchmarkVersion":"4-ai-customer-agent-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
OpenAI citation shareOpenAI brand citation share · observed Oct 10, 2026, 12:00 AM UTC33.333 percent100% confidence
- Source
- Rank.ai AI Customer Agents Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"ai-customer-agent-platforms-2026-07-27","runArtifactIds":["69c998be-df2b-414e-b19a-30b5204de7e8","1b7e7115-c6de-4b89-9b11-0f7bb1936386","22f8bdd1-c5cc-4373-acd7-0ebc93432d22","e9a6c3ee-9ef1-4ba5-9d7d-990747770586","dc39eb7f-c41c-48c2-ada0-622527afa63a","edb0e199-aca8-4724-a77f-74f8ed32abe3","13150099-0a49-4a4c-85cd-eba3bfc598eb","25d70175-92b9-41b1-9945-31db0bbfdfa0","374b8716-4f53-4cf7-962c-9da4e2888493","cef518ea-18ef-4ca7-9769-4bceed41efb7","ff0b62d5-c9e0-455a-8773-fd745e8c3dfa","70956cf6-7089-4021-9a4e-bb1ee9140f2b","5a921f32-e80b-4960-839e-b690d8b1363f","5b40bb22-a993-40f9-b3eb-13034bf21bb6","4e24f6b7-24bf-46ea-ad68-e7a0031c195c","0434a3de-5dee-4415-9681-ad44d52687d9","ba8d2840-e788-4905-9926-9974891c039f","7d3e5033-fa28-45e2-a502-3ddcb48b036d","52cba59f-bfc5-4ee3-877e-a7d470347e25","e4d5576b-6aff-4393-b358-d64756089fd8","6beb85cb-d3fd-490c-84b9-8e7e39f107ac","436dc3bb-d8a8-43e2-a450-c2a60676c7fb","0303699d-4736-4939-bc15-f62cedfab034","b7536789-3d77-47eb-85f8-c0b40aa7782c","8cbeea32-5cdd-4e2a-90b2-920a449dee0d","5d409bed-ed2b-480e-8801-8a6c59b55195","c843dc7a-9aca-46db-9605-f3ab8b711239","e1816bae-0611-42ba-b5fa-236c086118ad","5d5969f5-5522-49fe-8c61-4422035fc6a1","644edbf2-aca4-47c5-b14c-a5ace48c3f40","37a177d1-a26b-4263-9fe2-c464c6512855","af378e3d-abb7-4c37-bd92-eb9c947c5313","439415b8-ba5e-4e32-bea8-8a9f3cae0370","7c2aa9ca-de5d-4bd0-81e1-2dcc571fe903","116479f1-19be-4402-8450-35c41576e539","ed0d5488-d1f3-4697-98cf-d161e7be0a35","c486ad01-37e7-4820-bd37-12f83ae3a008","c75e40e5-72ad-4332-b75b-f3ee4789dbf5","36be0d42-c4f5-4986-b44f-c2b7bc97b574","d439f53d-1e39-49ac-a75b-6a2227fd91f4","360f6308-a189-4321-8e10-c4caccf29191","ae54fc3d-e86d-4cf6-835c-42698c11ed73","a79510e2-8579-4c38-abf4-15ed0f47d62d","64d77c9c-3705-4d43-9359-59e6ba2fbc07","ba9b6dae-33ac-461d-a760-b8b79de68d0d","bf825fdd-5f6f-4483-b4b1-8757df2fe9d1","eee68b3e-bacc-4e1c-bdc8-419fe110911a","7c3498f9-d188-4d7d-b8fe-78cc20a594b2"],"benchmarkVersion":"4-ai-customer-agent-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
OpenAI mention coverageOpenAI brand mention coverage · observed Oct 10, 2026, 12:00 AM UTC25 percent100% confidence
- Source
- Rank.ai AI Customer Agents Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"ai-customer-agent-platforms-2026-07-27","runArtifactIds":["69c998be-df2b-414e-b19a-30b5204de7e8","1b7e7115-c6de-4b89-9b11-0f7bb1936386","22f8bdd1-c5cc-4373-acd7-0ebc93432d22","e9a6c3ee-9ef1-4ba5-9d7d-990747770586","dc39eb7f-c41c-48c2-ada0-622527afa63a","edb0e199-aca8-4724-a77f-74f8ed32abe3","13150099-0a49-4a4c-85cd-eba3bfc598eb","25d70175-92b9-41b1-9945-31db0bbfdfa0","374b8716-4f53-4cf7-962c-9da4e2888493","cef518ea-18ef-4ca7-9769-4bceed41efb7","ff0b62d5-c9e0-455a-8773-fd745e8c3dfa","70956cf6-7089-4021-9a4e-bb1ee9140f2b","5a921f32-e80b-4960-839e-b690d8b1363f","5b40bb22-a993-40f9-b3eb-13034bf21bb6","4e24f6b7-24bf-46ea-ad68-e7a0031c195c","0434a3de-5dee-4415-9681-ad44d52687d9","ba8d2840-e788-4905-9926-9974891c039f","7d3e5033-fa28-45e2-a502-3ddcb48b036d","52cba59f-bfc5-4ee3-877e-a7d470347e25","e4d5576b-6aff-4393-b358-d64756089fd8","6beb85cb-d3fd-490c-84b9-8e7e39f107ac","436dc3bb-d8a8-43e2-a450-c2a60676c7fb","0303699d-4736-4939-bc15-f62cedfab034","b7536789-3d77-47eb-85f8-c0b40aa7782c","8cbeea32-5cdd-4e2a-90b2-920a449dee0d","5d409bed-ed2b-480e-8801-8a6c59b55195","c843dc7a-9aca-46db-9605-f3ab8b711239","e1816bae-0611-42ba-b5fa-236c086118ad","5d5969f5-5522-49fe-8c61-4422035fc6a1","644edbf2-aca4-47c5-b14c-a5ace48c3f40","37a177d1-a26b-4263-9fe2-c464c6512855","af378e3d-abb7-4c37-bd92-eb9c947c5313","439415b8-ba5e-4e32-bea8-8a9f3cae0370","7c2aa9ca-de5d-4bd0-81e1-2dcc571fe903","116479f1-19be-4402-8450-35c41576e539","ed0d5488-d1f3-4697-98cf-d161e7be0a35","c486ad01-37e7-4820-bd37-12f83ae3a008","c75e40e5-72ad-4332-b75b-f3ee4789dbf5","36be0d42-c4f5-4986-b44f-c2b7bc97b574","d439f53d-1e39-49ac-a75b-6a2227fd91f4","360f6308-a189-4321-8e10-c4caccf29191","ae54fc3d-e86d-4cf6-835c-42698c11ed73","a79510e2-8579-4c38-abf4-15ed0f47d62d","64d77c9c-3705-4d43-9359-59e6ba2fbc07","ba9b6dae-33ac-461d-a760-b8b79de68d0d","bf825fdd-5f6f-4483-b4b1-8757df2fe9d1","eee68b3e-bacc-4e1c-bdc8-419fe110911a","7c3498f9-d188-4d7d-b8fe-78cc20a594b2"],"benchmarkVersion":"4-ai-customer-agent-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
OpenAI recommendation-prompt presenceOpenAI brand recommendation presence · observed Oct 10, 2026, 12:00 AM UTC25 percent100% confidence
- Source
- Rank.ai AI Customer Agents Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"ai-customer-agent-platforms-2026-07-27","runArtifactIds":["69c998be-df2b-414e-b19a-30b5204de7e8","1b7e7115-c6de-4b89-9b11-0f7bb1936386","22f8bdd1-c5cc-4373-acd7-0ebc93432d22","e9a6c3ee-9ef1-4ba5-9d7d-990747770586","dc39eb7f-c41c-48c2-ada0-622527afa63a","edb0e199-aca8-4724-a77f-74f8ed32abe3","13150099-0a49-4a4c-85cd-eba3bfc598eb","25d70175-92b9-41b1-9945-31db0bbfdfa0","374b8716-4f53-4cf7-962c-9da4e2888493","cef518ea-18ef-4ca7-9769-4bceed41efb7","ff0b62d5-c9e0-455a-8773-fd745e8c3dfa","70956cf6-7089-4021-9a4e-bb1ee9140f2b","5a921f32-e80b-4960-839e-b690d8b1363f","5b40bb22-a993-40f9-b3eb-13034bf21bb6","4e24f6b7-24bf-46ea-ad68-e7a0031c195c","0434a3de-5dee-4415-9681-ad44d52687d9","ba8d2840-e788-4905-9926-9974891c039f","7d3e5033-fa28-45e2-a502-3ddcb48b036d","52cba59f-bfc5-4ee3-877e-a7d470347e25","e4d5576b-6aff-4393-b358-d64756089fd8","6beb85cb-d3fd-490c-84b9-8e7e39f107ac","436dc3bb-d8a8-43e2-a450-c2a60676c7fb","0303699d-4736-4939-bc15-f62cedfab034","b7536789-3d77-47eb-85f8-c0b40aa7782c","8cbeea32-5cdd-4e2a-90b2-920a449dee0d","5d409bed-ed2b-480e-8801-8a6c59b55195","c843dc7a-9aca-46db-9605-f3ab8b711239","e1816bae-0611-42ba-b5fa-236c086118ad","5d5969f5-5522-49fe-8c61-4422035fc6a1","644edbf2-aca4-47c5-b14c-a5ace48c3f40","37a177d1-a26b-4263-9fe2-c464c6512855","af378e3d-abb7-4c37-bd92-eb9c947c5313","439415b8-ba5e-4e32-bea8-8a9f3cae0370","7c2aa9ca-de5d-4bd0-81e1-2dcc571fe903","116479f1-19be-4402-8450-35c41576e539","ed0d5488-d1f3-4697-98cf-d161e7be0a35","c486ad01-37e7-4820-bd37-12f83ae3a008","c75e40e5-72ad-4332-b75b-f3ee4789dbf5","36be0d42-c4f5-4986-b44f-c2b7bc97b574","d439f53d-1e39-49ac-a75b-6a2227fd91f4","360f6308-a189-4321-8e10-c4caccf29191","ae54fc3d-e86d-4cf6-835c-42698c11ed73","a79510e2-8579-4c38-abf4-15ed0f47d62d","64d77c9c-3705-4d43-9359-59e6ba2fbc07","ba9b6dae-33ac-461d-a760-b8b79de68d0d","bf825fdd-5f6f-4483-b4b1-8757df2fe9d1","eee68b3e-bacc-4e1c-bdc8-419fe110911a","7c3498f9-d188-4d7d-b8fe-78cc20a594b2"],"benchmarkVersion":"4-ai-customer-agent-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
More in AI customer agents
Autonomous resolution, action safety, human handoff, voice, and digital customer-service products ranked across a fixed buying corpus.
Reviewed vendors ranked by the share of all the category's answers that name or cite them.
Reviewed vendors ranked by their share of the citations that point to vendor websites.
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.