Generic AI writes what everyone knows. Yours should cite what only you know.
Upload your research, product docs, and proprietary frameworks once. Every article, idea, and enrichment draws on them automatically — so your content says things competitors cannot copy.
Your knowledge base.
Every brand has knowledge the internet does not. Brand Data is where it lives — and the pipe that gets it into everything you publish.
- One library, every agent — Upload files, add monitored URLs, jot notes — then regenerate once. Article writing, content planning, and enrichment all read the same knowledge snapshot automatically.
- Drafts grounded by default — Once the context is generated, article generation incorporates your documents in every draft. Your facts, frameworks, and voice surface naturally — no prompting required.
- Ideas competitors cannot replicate — The "From Brand Data" mode brainstorms article angles directly from your documents — your survey findings, your methodology, your beta feedback — and files them straight into content plans.
- Quotes on demand, while writing — A Brand Data pill in the writing panel pulls the most relevant passage from your library and inserts it as a cited blockquote — at your selection or your cursor.
- No fabrication, by design — The quote tools operate strictly from your uploaded content. If your library has no relevant passage, the agent says so instead of inventing one.
- Batch sourcing with human review — Ask Editor-in-Chief to enrich an article from the library and it extracts the most relevant passages as suggested enrichments — you review and approve each one before it lands in the article.
What it looks at
- Files — PDF, text, and Markdown uploads — specs, reports, style guides, original research — extracted into the snapshot.
- Monitored URLs — Point at a page instead of uploading a file — your published docs, a partner spec — and sync it on demand.
- Notes — A textarea for the short stuff: positioning statements, key stats, taglines. Same snapshot, no file needed.
- Enrichments — Inline quote insertion while writing, or batch extraction across a whole article — every passage labeled with its source.
Content from the internet vs. content from your knowledge.
AI without your data
- Writes from public knowledge — the same well every competitor draws from
- Your research and product expertise stay locked in PDFs nobody opens
- Article ideas come from generic trend lists
- Adding a proprietary fact means hunting the document and pasting by hand
- No guarantee a "quote" was not invented on the spot
With Brand Data
- Your uploaded documents are digested into a knowledge snapshot agents read automatically
- Article generation incorporates your material in every draft — no prompt engineering
- A "From Brand Data" mode mines your documents for ideas only your brand can write
- One click pulls a relevant passage into the draft as a cited blockquote
- Strictly grounded: if the passage is not in your library, the AI says so — it never fabricates
How it works
- Upload your sources — PDFs, text, and Markdown files — plus monitored URLs and quick notes. Product specs, research reports, survey data, positioning docs.
- Regenerate context — One click reads every source and builds the combined knowledge snapshot your content agents will draw on.
- Every agent reads it — Article writing, content ideas, inline quotes, and batch enrichment all use your material automatically. No further configuration.
Included in every plan.
Brand Data is part of the content engine, not an enterprise upsell. Every workspace gets its own library, wired into every agent.
Publish what only you know.
Upload your first documents, regenerate the context, and watch your next draft cite your own data.
Frequently asked questions
How is this different from pasting documents into a chat prompt?
Pasting covers one conversation in one tool. Brand Data is persistent infrastructure: your sources are digested once into a knowledge snapshot, and every generation path — article drafts, content ideas, inline enrichment, batch sourcing — reads it automatically from then on. A document you upload today grounds a draft your team generates months from now, with nobody re-pasting anything.
What does setup involve?
Open the Brand Data page, upload your files (PDF, text, or Markdown), optionally add monitored URLs and notes, and click Regenerate context. That single step builds the snapshot; from that moment the Brand Data options light up across the editor and every agent has access. There is no fine-tuning, no vector-database project, no integration work.
How do I know the AI is not making up quotes from our material?
The quote features are strictly retrieval-based: the Brand Data pill and batch enrichment only surface passages that exist in your uploaded content, inserted as blockquotes with a Brand Data source label. If no relevant passage exists, the agent returns nothing or says so directly. And batch enrichments always pass through a review drawer — a human approves every passage before it enters the article.
What is the payoff for a content program?
Differentiation. Content written from public knowledge is a commodity — anyone with the same tools produces the same articles. Content that cites your proprietary research, your product data, and your frameworks is content only you can publish. Brand Data turns material that was sitting unread in internal folders into the substance of everything you ship.
Which organisations get the most from this?
Companies with real proprietary knowledge: original research and survey data, deep product documentation, an in-house methodology, regulated-industry expertise. If your subject-matter experts keep saying "our content does not reflect what we actually know," Brand Data is the missing pipe between what the organisation knows and what it publishes.