Reviewed AI research assistants ranked by how often answers to the category's recommendation questions name or cite them, across three model APIs.
AI research assistants
AI research Assistants brand visibility
12 companies ranked by how often AI answers name them.
29.2%
Elicit ranks first
Mention coverage
12
Companies ranked
Oct 3
Snapshot recorded
2026 · Rotating schedule
48
Answers behind each row
From the OpenAI, Anthropic and Google model APIs
All 12 companies by mention coverage
Elicit leads at 29.2%; the middle of the board sits at 4.2%.
- Ahead of second place
- 12.5%
- Held by the top three
- 71%
- Middle of the board
- 4.2%
- Below half the leader
- 10 of 12
Rank, name and mention coverageMiddle 4.2%
- 1Elicit29.2%
- 2Consensus16.7%
- 3Perplexity10.4%
- 4Semantic Scholar6.3%
- 5SciSpace6.3%
- 6scite4.2%
- 7OpenAI Deep Research4.2%
- 8NotebookLM2.1%
- 9Claude Research0.0%
- 10Gemini Deep Research0.0%
- 11Genspark0.0%
- 12You.com ARI0.0%
chatgpt recommends: 0 on 7 of 12 rows · chatgpt cites it: 0 on 10 of 12 rows · 48 checks behind each row.
| Rank | Name | Mention coverage | Share of names | Cited as source | Engines | Change | Why |
|---|---|---|---|---|---|---|---|
| 01 | Elicit | 29.2% | 36.84% · 14 / 38 | 35.71% · 5 / 14 | 3 | This rankMy rank | |
| 02 | Consensus | 16.7% | 21.05% · 8 / 38 | 0% · 0 / 14 | 2 | 1 | This rankMy rank |
| 03 | Perplexity | 10.4% | 13.16% · 5 / 38 | 28.57% · 4 / 14 | 3 | 1 | This rankMy rank |
| 04 | Semantic Scholar | 6.3% | 7.89% · 3 / 38 | 7.14% · 1 / 14 | 2 | 3 | This rankMy rank |
| 05 | SciSpace | 6.3% | 7.89% · 3 / 38 | 0% · 0 / 14 | 2 | ShowingMy rank | |
| 06 | scite | 4.2% | 5.26% · 2 / 38 | 14.29% · 2 / 14 | 1 | 2 | This rankMy rank |
| 07 | OpenAI Deep Research | 4.2% | 5.26% · 2 / 38 | 14.29% · 2 / 14 | 1 | 1 | This rankMy rank |
| 08 | NotebookLM | 2.1% | 2.63% · 1 / 38 | 0% · 0 / 14 | 1 | 3 | This rankMy rank |
| 09 | Claude Research | 0.0% | 0% · 0 / 38 | 0% · 0 / 14 | 0 | This rankMy rank | |
| 10 | Gemini Deep Research | 0.0% | 0% · 0 / 38 | 0% · 0 / 14 | 0 | 2 | This rankMy rank |
| 11 | Genspark | 0.0% | 0% · 0 / 38 | 0% · 0 / 14 | 0 | 1 | This rankMy rank |
| 12 | You.com ARI | 0.0% | 0% · 0 / 38 | 0% · 0 / 14 | 0 | This rankMy rank |
Why this rank
SciSpace on AI Research Assistants Brand Visibility
Snapshot of Oct 3, 2026, 12:00 AM UTC · Link to this snapshot
Ranks a reviewed AI Research Assistants brand universe using a fixed, public set of neutral commercial prompts across 3 AI providers.
5
Rank on this board
6.25 percent
Score
48
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 |
|---|---|---|
| Mention coverage | 6.25 | 6.25 |
Unchanged since the previous snapshot
No change in rankNo component moved since the previous snapshot.
Where each number comes from
14 public recordsAnthropic citation shareAnthropic brand citation share · observed Oct 3, 2026, 12:00 AM UTC0 percent100% confidence
- Source
- Rank.ai AI Research Assistants Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"ai-research-assistants-2026-07-27","runArtifactIds":["01645359-10a8-454f-8133-a53d8af9e021","cc742b03-eb12-4ca5-a0f2-a71536bfc93b","5f95efed-a452-4238-b975-6b542a6a97ab","782d1c4b-04b1-4c0e-b239-97022ae6b833","7187f0a3-6cb7-4320-8e5d-a1b65909765f","ceecbf2a-158a-4728-afa5-45c10ba0f768","585ff9de-c3de-40fe-8a11-e9006236473d","af6fffb0-21c8-489e-bbd0-f9c3bad31a35","5aa88e11-2501-4fc7-b083-5ab01b52612a","a9e09ebb-c373-4920-8752-b9622d50bc7d","e3b258f2-c7dd-4bbe-82b2-fa8ab4136fc3","95e90657-db89-4775-8487-3e00117b762a","72d0bedd-9cf9-413d-bd39-91c8a926f405","c5ceb074-17e5-4249-9114-7b97b0e976b5","09220466-f08b-4fed-836a-b5769fa7759a","b69e2046-2294-409c-8d4d-b503d2e73c4e","cb45d87f-c6f6-45aa-9e58-3125f1808060","bbe4d05b-ad7a-4874-8d00-b611405ef2c4","b058de24-fae9-41e6-9b24-9f82ee3836e5","26ad46c7-bd74-49c9-b936-c1e672e22b5b","0054f6e5-8e37-4c76-b601-f2f7ff020cad","7a9ba387-3980-420d-bb00-871e846f93f6","58e8a736-5002-46a8-b802-58d1a10207bb","bd84e39e-e24c-49d0-aa8b-63d0c45beed0","0137a8a2-71d5-4f0c-b181-945cf08fb3bb","0c307f9b-db2d-49bf-a98d-67cf9ff0f87b","c55903a4-d4c9-4a5c-880a-d15bb11cf935","e2563469-95f3-4046-85b9-c257e2f70343","752dc7cd-0192-43cf-ba91-bbe62dd7e398","b4caead9-646b-41af-84ee-cb1a565f1f8f","7e51686e-2cd2-40ea-893b-3d15050263bd","5f003b7a-ea9d-4a6b-9bf2-0beb6002499e","07857f3c-6080-4e2f-8e82-651e96809d35","825e21df-e67d-4f00-ae34-40d795315e95","9464e6e4-9334-4bd3-a3ff-880f801485e5","465795f5-d435-401a-bec9-00a26511dfb1","50c3aad7-b092-4627-b6f0-7d928c5026fe","662718f6-bc38-4b08-868d-4b273fd4e1d3","1ab8c48a-068a-48c3-bb97-4f5a3c6c5ddc","c8a4202c-46e2-4b6c-a0f1-78667dc35092","23dc48c0-6df4-4fe6-92f8-65523ea1ab2c","9b02be45-61e6-42e3-8a6f-4fe848573b14","80cc032f-4977-4af4-b4d0-958613acf26b","00c80c82-1c6c-497b-a075-fe76252f9bdd","eebf0e20-05d5-4b0e-bb68-3539bb09d813","c427a867-fe58-415d-b3b8-0510114f15f8","83eaf9f5-ef43-499b-b9e3-62490a5ee219","e1add68f-a4af-4da8-ba81-0c70adc0aaac"],"benchmarkVersion":"4-ai-research-assistants-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Anthropic mention coverageAnthropic brand mention coverage · observed Oct 3, 2026, 12:00 AM UTC0 percent100% confidence
- Source
- Rank.ai AI Research Assistants Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"ai-research-assistants-2026-07-27","runArtifactIds":["01645359-10a8-454f-8133-a53d8af9e021","cc742b03-eb12-4ca5-a0f2-a71536bfc93b","5f95efed-a452-4238-b975-6b542a6a97ab","782d1c4b-04b1-4c0e-b239-97022ae6b833","7187f0a3-6cb7-4320-8e5d-a1b65909765f","ceecbf2a-158a-4728-afa5-45c10ba0f768","585ff9de-c3de-40fe-8a11-e9006236473d","af6fffb0-21c8-489e-bbd0-f9c3bad31a35","5aa88e11-2501-4fc7-b083-5ab01b52612a","a9e09ebb-c373-4920-8752-b9622d50bc7d","e3b258f2-c7dd-4bbe-82b2-fa8ab4136fc3","95e90657-db89-4775-8487-3e00117b762a","72d0bedd-9cf9-413d-bd39-91c8a926f405","c5ceb074-17e5-4249-9114-7b97b0e976b5","09220466-f08b-4fed-836a-b5769fa7759a","b69e2046-2294-409c-8d4d-b503d2e73c4e","cb45d87f-c6f6-45aa-9e58-3125f1808060","bbe4d05b-ad7a-4874-8d00-b611405ef2c4","b058de24-fae9-41e6-9b24-9f82ee3836e5","26ad46c7-bd74-49c9-b936-c1e672e22b5b","0054f6e5-8e37-4c76-b601-f2f7ff020cad","7a9ba387-3980-420d-bb00-871e846f93f6","58e8a736-5002-46a8-b802-58d1a10207bb","bd84e39e-e24c-49d0-aa8b-63d0c45beed0","0137a8a2-71d5-4f0c-b181-945cf08fb3bb","0c307f9b-db2d-49bf-a98d-67cf9ff0f87b","c55903a4-d4c9-4a5c-880a-d15bb11cf935","e2563469-95f3-4046-85b9-c257e2f70343","752dc7cd-0192-43cf-ba91-bbe62dd7e398","b4caead9-646b-41af-84ee-cb1a565f1f8f","7e51686e-2cd2-40ea-893b-3d15050263bd","5f003b7a-ea9d-4a6b-9bf2-0beb6002499e","07857f3c-6080-4e2f-8e82-651e96809d35","825e21df-e67d-4f00-ae34-40d795315e95","9464e6e4-9334-4bd3-a3ff-880f801485e5","465795f5-d435-401a-bec9-00a26511dfb1","50c3aad7-b092-4627-b6f0-7d928c5026fe","662718f6-bc38-4b08-868d-4b273fd4e1d3","1ab8c48a-068a-48c3-bb97-4f5a3c6c5ddc","c8a4202c-46e2-4b6c-a0f1-78667dc35092","23dc48c0-6df4-4fe6-92f8-65523ea1ab2c","9b02be45-61e6-42e3-8a6f-4fe848573b14","80cc032f-4977-4af4-b4d0-958613acf26b","00c80c82-1c6c-497b-a075-fe76252f9bdd","eebf0e20-05d5-4b0e-bb68-3539bb09d813","c427a867-fe58-415d-b3b8-0510114f15f8","83eaf9f5-ef43-499b-b9e3-62490a5ee219","e1add68f-a4af-4da8-ba81-0c70adc0aaac"],"benchmarkVersion":"4-ai-research-assistants-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Anthropic recommendation-prompt presenceAnthropic brand recommendation presence · observed Oct 3, 2026, 12:00 AM UTC0 percent100% confidence
- Source
- Rank.ai AI Research Assistants Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"ai-research-assistants-2026-07-27","runArtifactIds":["01645359-10a8-454f-8133-a53d8af9e021","cc742b03-eb12-4ca5-a0f2-a71536bfc93b","5f95efed-a452-4238-b975-6b542a6a97ab","782d1c4b-04b1-4c0e-b239-97022ae6b833","7187f0a3-6cb7-4320-8e5d-a1b65909765f","ceecbf2a-158a-4728-afa5-45c10ba0f768","585ff9de-c3de-40fe-8a11-e9006236473d","af6fffb0-21c8-489e-bbd0-f9c3bad31a35","5aa88e11-2501-4fc7-b083-5ab01b52612a","a9e09ebb-c373-4920-8752-b9622d50bc7d","e3b258f2-c7dd-4bbe-82b2-fa8ab4136fc3","95e90657-db89-4775-8487-3e00117b762a","72d0bedd-9cf9-413d-bd39-91c8a926f405","c5ceb074-17e5-4249-9114-7b97b0e976b5","09220466-f08b-4fed-836a-b5769fa7759a","b69e2046-2294-409c-8d4d-b503d2e73c4e","cb45d87f-c6f6-45aa-9e58-3125f1808060","bbe4d05b-ad7a-4874-8d00-b611405ef2c4","b058de24-fae9-41e6-9b24-9f82ee3836e5","26ad46c7-bd74-49c9-b936-c1e672e22b5b","0054f6e5-8e37-4c76-b601-f2f7ff020cad","7a9ba387-3980-420d-bb00-871e846f93f6","58e8a736-5002-46a8-b802-58d1a10207bb","bd84e39e-e24c-49d0-aa8b-63d0c45beed0","0137a8a2-71d5-4f0c-b181-945cf08fb3bb","0c307f9b-db2d-49bf-a98d-67cf9ff0f87b","c55903a4-d4c9-4a5c-880a-d15bb11cf935","e2563469-95f3-4046-85b9-c257e2f70343","752dc7cd-0192-43cf-ba91-bbe62dd7e398","b4caead9-646b-41af-84ee-cb1a565f1f8f","7e51686e-2cd2-40ea-893b-3d15050263bd","5f003b7a-ea9d-4a6b-9bf2-0beb6002499e","07857f3c-6080-4e2f-8e82-651e96809d35","825e21df-e67d-4f00-ae34-40d795315e95","9464e6e4-9334-4bd3-a3ff-880f801485e5","465795f5-d435-401a-bec9-00a26511dfb1","50c3aad7-b092-4627-b6f0-7d928c5026fe","662718f6-bc38-4b08-868d-4b273fd4e1d3","1ab8c48a-068a-48c3-bb97-4f5a3c6c5ddc","c8a4202c-46e2-4b6c-a0f1-78667dc35092","23dc48c0-6df4-4fe6-92f8-65523ea1ab2c","9b02be45-61e6-42e3-8a6f-4fe848573b14","80cc032f-4977-4af4-b4d0-958613acf26b","00c80c82-1c6c-497b-a075-fe76252f9bdd","eebf0e20-05d5-4b0e-bb68-3539bb09d813","c427a867-fe58-415d-b3b8-0510114f15f8","83eaf9f5-ef43-499b-b9e3-62490a5ee219","e1add68f-a4af-4da8-ba81-0c70adc0aaac"],"benchmarkVersion":"4-ai-research-assistants-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Citation shareCitation share · observed Oct 3, 2026, 12:00 AM UTC0 percent100% confidence
- Source
- Rank.ai AI Research Assistants Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"ai-research-assistants-2026-07-27","runArtifactIds":["01645359-10a8-454f-8133-a53d8af9e021","cc742b03-eb12-4ca5-a0f2-a71536bfc93b","5f95efed-a452-4238-b975-6b542a6a97ab","782d1c4b-04b1-4c0e-b239-97022ae6b833","7187f0a3-6cb7-4320-8e5d-a1b65909765f","ceecbf2a-158a-4728-afa5-45c10ba0f768","585ff9de-c3de-40fe-8a11-e9006236473d","af6fffb0-21c8-489e-bbd0-f9c3bad31a35","5aa88e11-2501-4fc7-b083-5ab01b52612a","a9e09ebb-c373-4920-8752-b9622d50bc7d","e3b258f2-c7dd-4bbe-82b2-fa8ab4136fc3","95e90657-db89-4775-8487-3e00117b762a","72d0bedd-9cf9-413d-bd39-91c8a926f405","c5ceb074-17e5-4249-9114-7b97b0e976b5","09220466-f08b-4fed-836a-b5769fa7759a","b69e2046-2294-409c-8d4d-b503d2e73c4e","cb45d87f-c6f6-45aa-9e58-3125f1808060","bbe4d05b-ad7a-4874-8d00-b611405ef2c4","b058de24-fae9-41e6-9b24-9f82ee3836e5","26ad46c7-bd74-49c9-b936-c1e672e22b5b","0054f6e5-8e37-4c76-b601-f2f7ff020cad","7a9ba387-3980-420d-bb00-871e846f93f6","58e8a736-5002-46a8-b802-58d1a10207bb","bd84e39e-e24c-49d0-aa8b-63d0c45beed0","0137a8a2-71d5-4f0c-b181-945cf08fb3bb","0c307f9b-db2d-49bf-a98d-67cf9ff0f87b","c55903a4-d4c9-4a5c-880a-d15bb11cf935","e2563469-95f3-4046-85b9-c257e2f70343","752dc7cd-0192-43cf-ba91-bbe62dd7e398","b4caead9-646b-41af-84ee-cb1a565f1f8f","7e51686e-2cd2-40ea-893b-3d15050263bd","5f003b7a-ea9d-4a6b-9bf2-0beb6002499e","07857f3c-6080-4e2f-8e82-651e96809d35","825e21df-e67d-4f00-ae34-40d795315e95","9464e6e4-9334-4bd3-a3ff-880f801485e5","465795f5-d435-401a-bec9-00a26511dfb1","50c3aad7-b092-4627-b6f0-7d928c5026fe","662718f6-bc38-4b08-868d-4b273fd4e1d3","1ab8c48a-068a-48c3-bb97-4f5a3c6c5ddc","c8a4202c-46e2-4b6c-a0f1-78667dc35092","23dc48c0-6df4-4fe6-92f8-65523ea1ab2c","9b02be45-61e6-42e3-8a6f-4fe848573b14","80cc032f-4977-4af4-b4d0-958613acf26b","00c80c82-1c6c-497b-a075-fe76252f9bdd","eebf0e20-05d5-4b0e-bb68-3539bb09d813","c427a867-fe58-415d-b3b8-0510114f15f8","83eaf9f5-ef43-499b-b9e3-62490a5ee219","e1add68f-a4af-4da8-ba81-0c70adc0aaac"],"benchmarkVersion":"4-ai-research-assistants-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Engine breadthEngine breadth · observed Oct 3, 2026, 12:00 AM UTC2 engines100% confidence
- Source
- Rank.ai AI Research Assistants Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"ai-research-assistants-2026-07-27","runArtifactIds":["01645359-10a8-454f-8133-a53d8af9e021","cc742b03-eb12-4ca5-a0f2-a71536bfc93b","5f95efed-a452-4238-b975-6b542a6a97ab","782d1c4b-04b1-4c0e-b239-97022ae6b833","7187f0a3-6cb7-4320-8e5d-a1b65909765f","ceecbf2a-158a-4728-afa5-45c10ba0f768","585ff9de-c3de-40fe-8a11-e9006236473d","af6fffb0-21c8-489e-bbd0-f9c3bad31a35","5aa88e11-2501-4fc7-b083-5ab01b52612a","a9e09ebb-c373-4920-8752-b9622d50bc7d","e3b258f2-c7dd-4bbe-82b2-fa8ab4136fc3","95e90657-db89-4775-8487-3e00117b762a","72d0bedd-9cf9-413d-bd39-91c8a926f405","c5ceb074-17e5-4249-9114-7b97b0e976b5","09220466-f08b-4fed-836a-b5769fa7759a","b69e2046-2294-409c-8d4d-b503d2e73c4e","cb45d87f-c6f6-45aa-9e58-3125f1808060","bbe4d05b-ad7a-4874-8d00-b611405ef2c4","b058de24-fae9-41e6-9b24-9f82ee3836e5","26ad46c7-bd74-49c9-b936-c1e672e22b5b","0054f6e5-8e37-4c76-b601-f2f7ff020cad","7a9ba387-3980-420d-bb00-871e846f93f6","58e8a736-5002-46a8-b802-58d1a10207bb","bd84e39e-e24c-49d0-aa8b-63d0c45beed0","0137a8a2-71d5-4f0c-b181-945cf08fb3bb","0c307f9b-db2d-49bf-a98d-67cf9ff0f87b","c55903a4-d4c9-4a5c-880a-d15bb11cf935","e2563469-95f3-4046-85b9-c257e2f70343","752dc7cd-0192-43cf-ba91-bbe62dd7e398","b4caead9-646b-41af-84ee-cb1a565f1f8f","7e51686e-2cd2-40ea-893b-3d15050263bd","5f003b7a-ea9d-4a6b-9bf2-0beb6002499e","07857f3c-6080-4e2f-8e82-651e96809d35","825e21df-e67d-4f00-ae34-40d795315e95","9464e6e4-9334-4bd3-a3ff-880f801485e5","465795f5-d435-401a-bec9-00a26511dfb1","50c3aad7-b092-4627-b6f0-7d928c5026fe","662718f6-bc38-4b08-868d-4b273fd4e1d3","1ab8c48a-068a-48c3-bb97-4f5a3c6c5ddc","c8a4202c-46e2-4b6c-a0f1-78667dc35092","23dc48c0-6df4-4fe6-92f8-65523ea1ab2c","9b02be45-61e6-42e3-8a6f-4fe848573b14","80cc032f-4977-4af4-b4d0-958613acf26b","00c80c82-1c6c-497b-a075-fe76252f9bdd","eebf0e20-05d5-4b0e-bb68-3539bb09d813","c427a867-fe58-415d-b3b8-0510114f15f8","83eaf9f5-ef43-499b-b9e3-62490a5ee219","e1add68f-a4af-4da8-ba81-0c70adc0aaac"],"benchmarkVersion":"4-ai-research-assistants-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Mention coverageMention coverage · observed Oct 3, 2026, 12:00 AM UTC6.25 percent100% confidence
- Source
- Rank.ai AI Research Assistants Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Reviewed-brand presence shareMention share · observed Oct 3, 2026, 12:00 AM UTC7.895 percent100% confidence
- Source
- Rank.ai AI Research Assistants Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Recommendation-prompt presenceRecommendation presence · observed Oct 3, 2026, 12:00 AM UTC8.333 percent100% confidence
- Source
- Rank.ai AI Research Assistants Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Gemini citation shareGemini brand citation share · observed Oct 3, 2026, 12:00 AM UTC0 percent100% confidence
- Source
- Rank.ai AI Research Assistants Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Gemini mention coverageGemini brand mention coverage · observed Oct 3, 2026, 12:00 AM UTC6.25 percent100% confidence
- Source
- Rank.ai AI Research Assistants Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"ai-research-assistants-2026-07-27","runArtifactIds":["01645359-10a8-454f-8133-a53d8af9e021","cc742b03-eb12-4ca5-a0f2-a71536bfc93b","5f95efed-a452-4238-b975-6b542a6a97ab","782d1c4b-04b1-4c0e-b239-97022ae6b833","7187f0a3-6cb7-4320-8e5d-a1b65909765f","ceecbf2a-158a-4728-afa5-45c10ba0f768","585ff9de-c3de-40fe-8a11-e9006236473d","af6fffb0-21c8-489e-bbd0-f9c3bad31a35","5aa88e11-2501-4fc7-b083-5ab01b52612a","a9e09ebb-c373-4920-8752-b9622d50bc7d","e3b258f2-c7dd-4bbe-82b2-fa8ab4136fc3","95e90657-db89-4775-8487-3e00117b762a","72d0bedd-9cf9-413d-bd39-91c8a926f405","c5ceb074-17e5-4249-9114-7b97b0e976b5","09220466-f08b-4fed-836a-b5769fa7759a","b69e2046-2294-409c-8d4d-b503d2e73c4e","cb45d87f-c6f6-45aa-9e58-3125f1808060","bbe4d05b-ad7a-4874-8d00-b611405ef2c4","b058de24-fae9-41e6-9b24-9f82ee3836e5","26ad46c7-bd74-49c9-b936-c1e672e22b5b","0054f6e5-8e37-4c76-b601-f2f7ff020cad","7a9ba387-3980-420d-bb00-871e846f93f6","58e8a736-5002-46a8-b802-58d1a10207bb","bd84e39e-e24c-49d0-aa8b-63d0c45beed0","0137a8a2-71d5-4f0c-b181-945cf08fb3bb","0c307f9b-db2d-49bf-a98d-67cf9ff0f87b","c55903a4-d4c9-4a5c-880a-d15bb11cf935","e2563469-95f3-4046-85b9-c257e2f70343","752dc7cd-0192-43cf-ba91-bbe62dd7e398","b4caead9-646b-41af-84ee-cb1a565f1f8f","7e51686e-2cd2-40ea-893b-3d15050263bd","5f003b7a-ea9d-4a6b-9bf2-0beb6002499e","07857f3c-6080-4e2f-8e82-651e96809d35","825e21df-e67d-4f00-ae34-40d795315e95","9464e6e4-9334-4bd3-a3ff-880f801485e5","465795f5-d435-401a-bec9-00a26511dfb1","50c3aad7-b092-4627-b6f0-7d928c5026fe","662718f6-bc38-4b08-868d-4b273fd4e1d3","1ab8c48a-068a-48c3-bb97-4f5a3c6c5ddc","c8a4202c-46e2-4b6c-a0f1-78667dc35092","23dc48c0-6df4-4fe6-92f8-65523ea1ab2c","9b02be45-61e6-42e3-8a6f-4fe848573b14","80cc032f-4977-4af4-b4d0-958613acf26b","00c80c82-1c6c-497b-a075-fe76252f9bdd","eebf0e20-05d5-4b0e-bb68-3539bb09d813","c427a867-fe58-415d-b3b8-0510114f15f8","83eaf9f5-ef43-499b-b9e3-62490a5ee219","e1add68f-a4af-4da8-ba81-0c70adc0aaac"],"benchmarkVersion":"4-ai-research-assistants-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Gemini recommendation-prompt presenceGemini brand recommendation presence · observed Oct 3, 2026, 12:00 AM UTC12.5 percent100% confidence
- Source
- Rank.ai AI Research Assistants Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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OpenAI citation shareOpenAI brand citation share · observed Oct 3, 2026, 12:00 AM UTC0 percent100% confidence
- Source
- Rank.ai AI Research Assistants Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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OpenAI mention coverageOpenAI brand mention coverage · observed Oct 3, 2026, 12:00 AM UTC12.5 percent100% confidence
- Source
- Rank.ai AI Research Assistants Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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OpenAI recommendation-prompt presenceOpenAI brand recommendation presence · observed Oct 3, 2026, 12:00 AM UTC12.5 percent100% confidence
- Source
- Rank.ai AI Research Assistants Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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More in AI research assistants
Web, scientific, diligence, and enterprise research products ranked across a fixed evidence-seeking corpus.
Reviewed vendors ranked by their share of the citations that point to vendor websites.
Reviewed vendors ranked by how many of the three model APIs name or cite them.
See how often AI names you.
Enter your website. In about two minutes, Rank.ai asks ChatGPT, Claude and Gemini 12 questions your customers ask and grades how often they name you.
- Your grade out of 100How often AI names you, cites your site, and how high it ranks you.
- Who gets namedEvery competitor in the answers, most named first.
- The pages AI readsThe sources behind each answer.
- Three fixesWhat to fix first, with a brief for the first article.