Subcategory · AI Citation Index
Wiki & Docs
Wiki & docs is a two-brand race in AI discovery, with Notion and Built each surfacing in more than 85% of buyer queries across all four engines. Microsoft 365 follows at 60% share, visible on every engine but clearly a tier behind. The consensus pick is Microsoft 365 — it wins more head-to-head comparisons than it loses, while Notion appears in more discovery prompts but barely participates in evaluation-stage queries. Nuclino is the absent giant: wins most head-to-heads it enters but only surfaces on two of the engines we track, leaving fragile visibility. This is a contested category — AI engines agree on a shortlist but split on who to pick when buyers ask direct matchup questions.
50 discovery queries · 385 head-to-heads · refreshed May 1, 2026
Discovery stage
The shortlist
Across 50 buyer-style "Wiki & Docs" queries
Notion and Built trade AI discovery share within two percentage points of each other, both visible across ChatGPT, Claude, Gemini, and Perplexity. Microsoft 365 shows up in 60% of buyer queries and surfaces on every engine, while coda.io and Google Workspace each land in just over half of queries with full-engine coverage. Tettra and readme.com surface on only three of the four engines, leaving single-engine blind spots.
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Signal by intent
By topic
Top 5 most-cited brands per intent cluster. Brands with zero citations in a topic are not shown.
Evaluation stage
Head-to-head
How often AI cites each brand across uniform category evaluation prompts · median 50/100
Microsoft 365 wins more head-to-head comparisons than it loses — averaging above the category median across ten matchups. Nuclino and Seismic Knowledge both score above the median as well, each across a dozen or more comparison queries. Document360, Archbee, and Glean lose more head-to-heads than they win, landing below the median despite meaningful comparison volume.
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Each brand's score is the share of category evaluation prompts where AI cited them across all four engines — the same prompt pool for every brand. Brands above the median citation rate have stronger presence in evaluation-stage queries.
Brands to know
In this category
Microsoft 365
Consensus pickEnterprise collaboration suite with SharePoint docs
Read brand profile →Notion
KingmakerAll-in-one workspace for docs and wikis
Read brand profile →Nuclino
Absent giantLightweight real-time collaborative wiki
Read brand profile →Seismic Knowledge
RiserSales knowledge management for revenue teams
Read brand profile →Document360
Self-service knowledge base for support teams
Read brand profile →Citation sources
Where AI pulls citations from
726 citations captured across Wiki & Docs prompt runs.
Vendor pages
220Product, help, and marketing pages from tracked vendors
Independent sources
175Reviews, encyclopedias, forums, press — not vendor-owned
Buyer questions
What AI cites for top Wiki & Docs questions
Every query in the prompt set is top-of-funnel exploration — buyers ask AI for the best wiki or documentation tool by role and use case. Sample phrasings include 'As a compliance officer, what is the most effective tool for policy documentation?' and 'As a software engineer, what is the best tool for documenting API specifications?' No head-to-head comparison queries or pricing questions appear in the mix.
Discovery
Buyers exploring the categoryEvaluation
Buyers comparing options- Enterprise-ready Wiki for Teams | Docmostdocmost.com
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