Notion AI is a writing assistant

Notion AI is, fundamentally, a per-page writing assistant. It drafts, rewrites, summarises, translates. It works inside a Notion page on Notion content. That's a real, useful capability if your team writes most of its long-form content in Notion.

It is not a system for reasoning about your team's history across tools. The retrieval scope is the open Notion workspace. Slack threads, PR descriptions, Linear tickets, customer support transcripts: out of scope.

Cognia is an org-scale memory layer

Cognia's job is the inverse of Notion AI's. We don't draft new content; we answer questions about content that already exists. We capture artefacts from Slack, GitHub, Linear, Jira, Drive, Notion, customer support tools, calendars, and (via the browser extension) anything you read on the web.

When someone asks 'what was decided about the Postgres migration?', we return a two-sentence answer with citations into the three artefacts that mattered, regardless of which tool they live in.

The two compose

If your team uses Notion heavily for long-form docs, run both. Notion AI for the drafting workflow inside the page. Cognia for cross-tool retrieval and the question-answer surface. They don't overlap.

Where teams sometimes get this wrong: they install Notion AI, expect it to find context from Slack and GitHub, and conclude 'AI knowledge tools don't work'. It's the wrong tool for that job.

Pricing comparison

Notion AI is USD 10 per member per month, on top of your existing Notion subscription. Cognia is free for small teams, INR 1,660 per seat per month at the Team tier, and BYOK at Business so you can route through your own LLM keys.

The right comparison isn't head-to-head price; it's value per use case. Notion AI is cheap per seat if you're already on Notion. Cognia is cheaper at scale and adds a capability Notion AI doesn't have.