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
Most cited pages in AI research Assistants answers
14.6%
youtube.com/watch ranks first
Cited answer coverage
133
Source pages ranked
Oct 3
Snapshot recorded
2026 · Rotating schedule
48
Answers behind each row
From the OpenAI, Anthropic and Google model APIs
All 133 source pages by cited answer coverage
youtube.com/watch leads at 14.6%; the middle of the board sits at 2.1%.
- Ahead of second place
- 2.1%
- Held by the top three
- 9%
- Middle of the board
- 2.1%
- Below half the leader
- 127 of 133
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.
page cited answer: 1 on 103 of 133 rows · page engine breadth: 1 on 115 of 133 rows · 48 checks behind each row.
Compare brands
One brand against up to three competitors, answer by answer
10.4%
of these answers name or cite Perplexity
5 of 48 answers
17.2%
Its share of the compared brands' appearances
1
Answers citing its own site
4 links to its domains
3 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 |
|---|---|---|---|---|---|---|---|
| Elicitelicit.com | 29.2%14 of 48 | +18.8 pts | 48.3% | 19 | 4 | 5 | 3 of 3 |
| Consensusconsensus.app | 16.7%8 of 48 | +6.2 pts | 27.6% | 10 | 0 | 0 | 2 of 3 |
| Perplexityperplexity.ai | 10.4%5 of 48 | Primary | 17.2% | 7 | 1 | 4 | 3 of 3 |
| scitescite.ai | 4.2%2 of 48 | -6.3 pts | 6.9% | 0 | 2 | 2 | 1 of 3 |
Every answer
Which compared brands each answer names
| Question | OpenAIopenai/gpt-4o-mini | Anthropicanthropic/claude-haiku-4-5 | Geminigoogle/gemini-2.5-flash |
|---|---|---|---|
| 01Which AI research assistants are best for finding, synthesizing, and citing reliable sources across complex questions?Recommendation | Elicit 5 sources 73c3f24b | None named 0 sources d26e1ce5 | scite, cited 1 7 sources 4c68425d |
| 02Recommend an AI research assistant for scientific literature search, paper screening, evidence extraction, synthesis, and traceable citations.Recommendation | Elicit, cited 1Consensus 4 sources 33db4046 | Elicit 0 sources 1729b232 | Elicit, cited 1scite, cited 1 9 sources 38467e98 |
| 03Which AI research assistants are strongest for a systematic review with reproducible queries, inclusion criteria, data extraction, and audit trails?Recommendation | Elicit, cited 1 7 sources 93f1aaa3 | Elicit 0 sources ec8a193b | Elicit 6 sources f5de6ab5 |
| 04Recommend an AI research assistant for company, market, competitor, and industry research using current public sources with citations.Recommendation | Perplexity 7 sources a895bd8a | None named 0 sources 58a6b419 | Perplexity 7 sources 6c84834d |
| 05Which AI research assistants are best for commercial due diligence that must distinguish filings, company claims, estimates, and third-party evidence?Recommendation | None named 2 sources d0b15930 | None named 0 sources 6232087f | Perplexity 9 sources 1f170fcd |
| 06Recommend an enterprise AI research assistant with private-data controls, team workspaces, source permissions, administration, and compliance.Recommendation | None named 7 sources ee5a326d | Perplexity, cited 4 8 sources b85d7feb | None named 8 sources c6d3f6b3 |
| 07Which AI research assistants are strongest for current web research that requires broad retrieval, source diversity, recency, and cited synthesis?Recommendation | Elicit, cited 2Consensus 5 sources ea1f28b6 | None named 0 sources 61a42cc8 | ElicitConsensus 8 sources be2142dc |
| 08Recommend an affordable AI research assistant for a student who needs source discovery, paper explanations, citation checking, and note organization.Recommendation | Elicit 6 sources 9d61f75b | None named 0 sources 50768f9d | None named 6 sources 11ab622b |
| 09Compare AI research assistants on retrieval coverage, source quality, citation accuracy, synthesis, exports, collaboration, privacy, and price.Commercial comparison | ElicitConsensus 7 sources 7326c20c | None named 0 sources 7a3b59c9 | ElicitConsensus 7 sources 425646a1 |
| 10Create a reproducible citation-accuracy test for AI research assistants covering source existence, claim support, quotation, attribution, and recency.Commercial comparison | None named 0 sources 93d21f18 | None named 0 sources 8c2262a3 | None named 0 sources 3feb0af0 |
| 11Design a retrieval benchmark for AI research assistants using known-item search, long-tail evidence, conflicting sources, dates, and paywalled material.Commercial comparison | None named 0 sources e6ff00ff | None named 0 sources 4e4518a8 | None named 0 sources 066f678c |
| 12How should buyers compare AI research assistants on completeness, uncertainty, contradiction handling, evidence weighting, and unsupported claims?Commercial comparison | None named 8 sources 5a266b7f | None named 0 sources 72d27b80 | ElicitConsensus 8 sources 766fffac |
| 13Compare AI research assistant pricing across seats, searches, reports, document uploads, premium sources, exports, APIs, and enterprise controls.Commercial comparison | None named 6 sources a28571bf | None named 0 sources 4b8d5e2b | None named 4 sources de69abed |
| 14Compare AI research assistants on uploaded-document privacy, model training, retention, permissions, encryption, residency, audit logs, and deletion.Commercial comparison | None named 5 sources efb6999a | None named 0 sources 72c4c670 | None named 7 sources 43a3f0aa |
| 15Which criteria expose library, annotation, citation, report, workspace, source-access, export, and API lock-in in an AI research assistant?Commercial comparison | None named 4 sources 6bd45676 | None named 0 sources 202825f5 | None named 1 sources 810ce222 |
| 16Create a shortlist of AI research assistant vendors for an evidence-heavy organization replacing ad hoc search and manual research briefs.Commercial comparison | PerplexityElicitConsensus 7 sources e35e8ca0 | None named 0 sources fa5bdf76 | Consensus 9 sources 4b0c6291 |
Sources
The sites these answers cite
| Site | Answers citing it | Distinct pages | Model APIs | Best position |
|---|---|---|---|---|
| paperguide.ai | 13 | 4 | 2 | 1 |
| reddit.com | 8 | 10 | 2 | 1 |
| youtube.com | 7 | 5 | 2 | 1 |
| atlasworkspace.ai | 7 | 4 | 2 | 2 |
| rank.ai | 5 | 4 | 2 | 1 |
| answerthis.io | 4 | 2 | 2 | 1 |
| elicit.com | 4 | 2 | 2 | 1 |
| simular.ai | 4 | 2 | 2 | 2 |
| clarivate.com | 4 | 1 | 1 | 2 |
| inra.ai | 4 | 1 | 2 | 2 |
| editage.us | 3 | 1 | 2 | 2 |
| libguides.kcl.ac.uk | 3 | 1 | 2 | 2 |
| vellum.ai | 2 | 2 | 1 | 2 |
| cybernews.com | 2 | 1 | 2 | 1 |
| hebbia.com | 2 | 1 | 2 | 1 |
| microsoft.com | 2 | 1 | 1 | 1 |
| grata.com | 2 | 1 | 2 | 2 |
| openai.com | 2 | 1 | 1 | 2 |
| jenni.ai | 2 | 1 | 1 | 3 |
| thesify.ai | 2 | 1 | 1 | 3 |
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-research-assistants-2026-07-27 / 4-ai-research-assistants-2026-07-27-models-64232fd32583
Why this rank
scite.ai/ on Most-cited pages in AI Research Assistants answers
Some explanation inputs are unavailable. Not published: the evidence frozen with this snapshot.
Ranks privacy-safe canonical citation pages in the complete public prompt benchmark without additional provider calls.
29
Rank on this board
4.167 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 |
|---|---|---|
| Page answer coverage | 4.166667 | 4.167 |
Moved down since the previous snapshot
-8 places- Position numerator8 to 13+5
- Page best position3 to 6+3
- Page mean position4 to 6.5+2.5
- Page median position4 to 6.5+2.5
- Answer denominator48 to 480
- Engine denominator3 to 30
- Position denominator2 to 20
- Prompt denominator16 to 160
- Page answer coverage4.167 to 4.1670
- Page cited answer2 to 20
- Page engine breadth1 to 10
- Page prompt breadth2 to 20
Where each number comes from
7 public recordsCited-answer coveragePage answer coverage · observed Oct 3, 2026, 12:00 AM UTC4.167 percent100% confidence
- Source
- Rank.ai AI Research Assistants Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Best citation positionPage best position · observed Oct 3, 2026, 12:00 AM UTC6 position100% confidence
- Source
- Rank.ai AI Research Assistants Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Cited answersPage cited answer · observed Oct 3, 2026, 12:00 AM UTC2 answers100% 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 breadthPage engine 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"}
Mean citation positionPage mean position · observed Oct 3, 2026, 12:00 AM UTC6.5 position100% confidence
- Source
- Rank.ai AI Research Assistants Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Median citation positionPage median position · observed Oct 3, 2026, 12:00 AM UTC6.5 position100% confidence
- Source
- Rank.ai AI Research Assistants Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Prompt breadthPage prompt breadth · observed Oct 3, 2026, 12:00 AM UTC2 prompts100% confidence
- Source
- Rank.ai AI Research Assistants Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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See how often AI names you.
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