Built for Notion users: PMs, content teams, ops, students. Paste any Notion page into TextSight and get an Authenticity Score with sentence-level highlights in under six seconds. Paragraphs, headings, callouts, and toggles carry over cleanly on paste. No native Notion API integration yet; the workflow today is copy-paste from Notion into app.textsight.ai. Free to try. No card.
Notion is where a lot of teams draft in 2026. PRDs, blog posts, internal docs, marketing briefs, customer comms, team wikis. The pre-publish pattern is the same across all of them: paste, scan, fix the flagged blocks, ship.
Notion is the default writing surface for a generation of teams. Product managers draft PRDs in Notion, content teams plan blog posts in Notion, ops teams write playbooks in Notion, students keep coursework in Notion. The Notion AI sidebar and inline writing assistant are part of the standard workflow now. The realistic 2026 pattern is to use Notion AI while drafting and to run a pre-publish scan on the final text before sharing or publishing.
Notion is the most common PRD home outside Confluence. Specs that read templated land badly with engineering. Paste the PRD into TextSight before the spec review, fix the flagged sentences with real product reasoning, then share with the build team. The scan adds about five minutes per spec and pays for itself the first time an engineer reads substance instead of stock phrasing.
Editorial teams plan and draft blog posts inside Notion before pushing to a CMS. A typical workflow uses Notion AI for outlines and section openings, then the writer fills in the body. Paste the final draft into TextSight, confirm the Authenticity Score sits above 75, then publish. Multi-author Notion pages scan the same as solo pages.
Customer success replies, sales playbooks, onboarding emails, support templates often live as long-text properties in a Notion database. Open the row, copy the body field, paste into TextSight. Same flow as a page, just one step deeper. Useful for ops teams keeping canonical content inside a database rather than free-floating pages.
A growing number of students manage research notes, essay drafts, and dissertation chapters in Notion before submission. Paste the draft thirty minutes before the deadline, edit the red sentences, re-scan, submit. The free tier covers a typical week of coursework.
No native Notion API integration yet (the plugin is on the 2026 Business-tier roadmap). The paste flow takes under thirty seconds end to end and returns the same Authenticity Score the future plugin will surface inline.
Open your Notion page, click into the body, press Ctrl+A (Cmd+A on Mac) to select all visible blocks, then Ctrl+C (Cmd+C) to copy. Notion's block model flattens on paste: paragraphs become paragraphs, headings stay headings, bulleted and numbered lists ride along, callouts and quotes paste as plain text. Toggle blocks contribute only the visible toggle label by default; expand any toggles you want included before selecting.
Open app.textsight.ai in another tab. The detector tab is the default landing surface, so the text box is ready. No signup needed for the first scan; the free tier allows three scans a day before signup is required. The 5,000-character per-scan ceiling covers roughly three Notion blog-post sections.
Paste into the text box with Ctrl+V (Cmd+V), click Scan. Results stream back in three to six seconds for a 1,500-word page. The Authenticity Score appears at the top, sentence-level highlights render below, and the per-sentence reasons (vocabulary tell, rhythm pattern, perplexity, structural symmetry) populate on hover. Embeds and database UI chrome are ignored; only prose is scored.
Switch back to Notion, rewrite the flagged blocks in place, then paste the revised page back into TextSight for a second scan. Most pages go from red to green in two or three iteration cycles. If a sentence flags on every pass, run it through the integrated AI rewriter (Light, Balanced, or Maximum) and paste the rewritten line back into Notion.
Free covers casual scanning. Pro is the right fit for regular Notion writers. Business is for multi-seat Notion teams. Full details on the pricing page.
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Notion AI writes prose inside Notion but does not score prose. TextSight is the audit layer on the other side of that pipeline. Both tools, used together, are the realistic 2026 workflow.
Notion AI is a drafting assistant. It expands bullets into paragraphs, summarises pages, rewrites for tone, and produces Q&A blocks inline. It does not give you a number for how AI-shaped its own output is. TextSight is the inverse: it does not generate text, it scores text. Use Notion AI for first drafts and section openings, then run the page through TextSight before share.
Notion AI tends to produce a templated Q&A or bullet-point style that scans recognise quickly. The default outputs lean on short hedging phrases, parallel sentence structures, and a polite explanatory cadence. The classifier picks these patterns up cleanly. Sentence-level highlights show exactly which lines triggered, so the writer rewrites only the templated passages instead of rebuilding the whole page.
Notion AI and ChatGPT use different underlying model families with different default prompts and different post-processing. Notion AI tends to produce shorter sentences and lighter hedging when used inline. ChatGPT outputs lean toward longer, more structured paragraphs by default. Both flag as AI in TextSight when generated, but the exact band can shift by five to fifteen points depending on prompt, model version, and writer edits.
PRD writing, customer comms, blog drafts, knowledge base articles, team wiki content. All five share the same paste-then-scan loop; the differences are in cadence and tier.
Product specs read templated when AI-drafted, and engineering reads templated specs as a signal the PM did not think the problem through. Paste the PRD into TextSight before the spec review, rewrite the flagged sections with real product reasoning, then share. Pro at $14.99 a month on yearly fits the daily PRD cadence.
Customer success replies, onboarding emails, sales playbooks. Customers read templated comms as a generic team. Pre-scan the response template, fix the AI-shaped sentences, then save the reply. Works for both one-off replies and reusable template libraries kept as database rows.
Editorial teams plan and write blog posts in Notion before pushing to CMS. The pre-publish workflow pastes the final draft into TextSight, confirms the Authenticity Score above 75, then promotes to CMS. The free tier covers casual blogging; Pro at $14.99 a month on yearly fits regular publishing cadence.
Public knowledge bases and help centres often run on Notion Sites. AI-drafted help articles read as templated, and visitors trust them less. Scan each article before flipping the publish toggle. If the page is a high-traffic landing surface, the score predicts how robotic the live version will read once readers land on it.
Company memos, all-hands updates, leadership messages, onboarding wikis. AI-drafted versions feel robotic to employees, and AI score is a proxy for how robotic. Same workflow as marketing content: paste, scan, edit, re-scan, share.
A workspace audit is a different workflow from a single-page scan. Three patterns that work today without a native plugin.
Pull the highest-traffic pages from your Notion workspace, batch them through TextSight one at a time, and keep a private log of which docs scored above 60 on the Authenticity Score. That single audit usually finds three or four pages that need a rewrite before the next republish cycle. Two hours of audit work covers a small marketing site or a public knowledge base.
Notion stores content as blocks (paragraph, heading, callout, toggle, database row), not as a continuous text stream. The block model flattens on paste: paragraphs become paragraphs, headings stay headings, lists ride along, callouts and quotes paste as plain text. Toggle blocks contribute only the visible label by default. Database row chrome and embeds are stripped, which is what you want for prose scoring.
A lot of Notion content lives inside database rows. Marketing CMS rows, support reply templates, sales playbooks. Open a row, copy the long-text property, paste, scan. Same flow as a page, just one step deeper. Useful for teams keeping canonical content inside a database rather than free-floating pages. Short text properties under fifty characters are usually too small for the detector to score reliably.
Honest scope: there is no native Notion API integration yet. The paste workflow returns the same score the future plugin will surface inline.
The planned Notion plugin will add a right-click action on any Notion page that calls TextSight via the Notion API, render flagged passages as inline Notion comments on the relevant blocks, and offer a one-click Rewrite that creates a suggested edit in a comment thread. The underlying scan and the Authenticity Score model are identical to the web app.
Three reasons Notion is harder than Word or Docs to integrate. First, block-based structure: a scan-this-page feature has to walk the block tree, extract prose in document order, and ignore database UI chrome. Second, database fields: a lot of Notion content lives inside database rows with rich-text properties, which needs different API logic from page content. Third, API quotas: Notion's API has rate limits that make passive background scanning impractical, so any integration has to be explicitly triggered.
Realistic timing on the native plugin: not before 2027 unless we see strong Business-tier demand. The Word add-in and the Google Docs Workspace add-on are higher priority because the audiences are larger. If a native Notion plugin would meaningfully change your workflow, tell us on the contact page. Demand signal directly affects roadmap priority.
PRDs, specs, release notes, and customer comms scanned for AI flavour before share.
For PMs →The Docs paste flow, multi-author scanning, and the Workspace add-on roadmap.
For Docs →Right-click to scan on any site, including Notion in the browser.
See the extension →Full tier breakdown for Free, Starter, Pro, and Business. Annual billing saves 25%.
See pricing →Free to try. No card. Your first scan in about six seconds.