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AI research assistants

AI research assistant rank

12 companies ranked by how often answers to recommendation questions name or cite them.
Recorded Oct 3, 2026Rotating scheduleSource: Rank.ai's prompt benchmark: fixed buying questions put to the OpenAI, Anthropic and Google model APIs, with Rank.ai's web searchHow this board is measuredCSV / JSON

41.7%

Elicit ranks first

Recommendation prompt presence

12

Companies ranked

Oct 3

Snapshot recorded

2026 · Rotating schedule

24

Answers behind each row

From the OpenAI, Anthropic and Google model APIs

Follow changes

All 12 companies by recommendation prompt presence

Elicit leads at 41.7%; the middle of the board sits at 6.3%.

Ahead of second place
25%
Held by the top three
68%
Middle of the board
6.3%
Below half the leader
11 of 12
Rank, name and recommendation prompt presenceMiddle 6.3%
  1. 1Elicit41.7%
  2. 2Perplexity16.7%
  3. 3Consensus12.5%
  4. 4Semantic Scholar8.3%
  5. 5SciSpace8.3%
  6. 6scite8.3%
  7. 7OpenAI Deep Research4.2%
  8. 8NotebookLM4.2%
  9. 9Claude Research0.0%
  10. 10Gemini Deep Research0.0%
  11. 11Genspark0.0%
  12. 12You.com ARI0.0%

chatgpt recommends: 0 on 7 of 12 rows · 24 checks behind each row · 100% confidence across rows.

AI research assistant rank current rankings
RankNameRecommendation prompt presenceMention coverageShare of namesCited as sourceChangeWhy
01Elicit41.7%29.17% · 14 / 4836.84% · 14 / 3835.71% · 5 / 14 This rankMy rank
02Perplexity16.7%10.42% · 5 / 4813.16% · 5 / 3828.57% · 4 / 14 This rankMy rank
03Consensus12.5%16.67% · 8 / 4821.05% · 8 / 380% · 0 / 14 This rankMy rank
04Semantic Scholar8.3%6.25% · 3 / 487.89% · 3 / 387.14% · 1 / 14 3This rankMy rank
05SciSpace8.3%6.25% · 3 / 487.89% · 3 / 380% · 0 / 14 This rankMy rank
06scite8.3%4.17% · 2 / 485.26% · 2 / 3814.29% · 2 / 14 2This rankMy rank
07OpenAI Deep Research4.2%4.17% · 2 / 485.26% · 2 / 3814.29% · 2 / 14 1This rankMy rank
08NotebookLM4.2%2.08% · 1 / 482.63% · 1 / 380% · 0 / 14 3ShowingMy rank
09Claude Research0.0%0% · 0 / 480% · 0 / 380% · 0 / 14 This rankMy rank
10Gemini Deep Research0.0%0% · 0 / 480% · 0 / 380% · 0 / 14 2This rankMy rank
11Genspark0.0%0% · 0 / 480% · 0 / 380% · 0 / 14 1This rankMy rank
12You.com ARI0.0%0% · 0 / 480% · 0 / 380% · 0 / 14 This rankMy rank

Why this rank

NotebookLM on AI Research Assistant Rank

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

8

Rank on this board

4.167 percent

Score

24

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 NotebookLM's score
ComponentValueContribution
Recommendation presence4.1666674.167

Moved up since the previous snapshot

+3 places
  1. Gemini brand recommendation presence0 to 12.5
    +12.5
  2. Gemini brand mention coverage0 to 6.25
    +6.25
  3. Recommendation presence0 to 4.167
    +4.167
  4. Mention share0 to 2.632
    +2.632
  5. Mention coverage0 to 2.083
    +2.083
  6. Engine breadth0 to 1
    +1
  7. Anthropic brand mention coverage0 to 0
    0
  8. Anthropic brand recommendation presence0 to 0
    0
  9. Citation share0 to 0
    0
  10. Gemini brand citation share0 to 0
    0
  11. OpenAI brand citation share0 to 0
    0
  12. OpenAI brand mention coverage0 to 0
    0
  13. OpenAI brand recommendation presence0 to 0
    0

Where each number comes from

14 public records
  • Anthropic 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"}
    Open the source
  • 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"}
    Open the source
  • 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"}
    Open the source
  • 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"}
    Open the source
  • Engine breadthEngine breadth · observed Oct 3, 2026, 12:00 AM UTC1 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"}
    Open the source
  • Mention coverageMention coverage · observed Oct 3, 2026, 12:00 AM UTC2.083 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"}
    Open the source
  • Reviewed-brand presence shareMention share · observed Oct 3, 2026, 12:00 AM UTC2.632 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"}
    Open the source
  • Recommendation-prompt presenceRecommendation presence · observed Oct 3, 2026, 12:00 AM UTC4.167 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"}
    Open the source
  • 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
    {"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"}
    Open the source
  • 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"}
    Open the source
  • 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
    {"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"}
    Open the source
  • 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
    {"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"}
    Open the source
  • OpenAI mention coverageOpenAI 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"}
    Open the source
  • OpenAI recommendation-prompt presenceOpenAI 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"}
    Open the source
Public AI Research Assistants brand benchmark, version 4-ai-research-assistants-2026-07-27-models-64232fd32583168 observations · 1 source · quality passed
Snapshot
764b7769-1e62-441d-8be5-5d6425d2fc22
Data hash
9cf7d6de682a1f3bd3e387793b03965d5091484a67a86b7466f0919a7c992e41
Method hash
479550f7f60387cb360d3cae6ada8ae4dff89823f1577ce73a2d4c4f9e801beb

More in AI research assistants

Web, scientific, diligence, and enterprise research products ranked across a fixed evidence-seeking corpus.

3 boards

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.