Product

Topic Engine Content Engine AEO Rank Autopilot Visibility Tracking Website & Migration Audits Rankings Pricing

Resources

Browse all resources → Case Studies Blog FAQ Knowledge Base Research Docs

Content Engine

Content AI can't get anywhere else. Every claim, sourced.

We research your market across the live web, weave in your own proprietary data, and write block-by-block where every fact links to where it came from - then auto-score it citation-ready before you ever see it.

See your AI-visibility gaps Step 03-04 of how we get you named

It researches across 7 live platforms

Reddit YouTube Google News Apple Podcasts Substack Medium Hacker News + your own proprietary data & first-party knowledge

How it works

Great content isn't written - it's researched, sourced, and graded

01

Gathers real intelligence

21 targeted queries across 7 platforms per topic - real Reddit threads, YouTube transcripts, news, podcasts and long-form writing. Not a rewritten search result.

21 queries · 7 platforms · ~10 sources per article

02

Builds a sourced fact library

Every finding becomes a cited evidence card: a claim, a quotable line, and a live source URL. Your own proprietary data and first-party knowledge feed the same library.

5 feeds incl. your proprietary data

03

Writes block-by-block, cited

Each section must declare which evidence it used before it is written. If a claim has no source URL behind it, the claim doesn't get made.

No URL, no claim - the server enforces it

04

Auto-grades to the bar

Every draft is scored on 5 pillars across 17 checks and rewritten up to 3 times until it clears the bar - so what reaches you is already engineered to be cited.

AEO Rank 5 pillars / 17 checks · 80+ before review

Inside the Content Engine

Every fact logged to its source

Before a single sentence is written, the research is ranked into evidence cards and each card is assigned to a specific block. This is the ledger behind one article.

Evidence Ledger sample · feeding one article
Article "24-Hour Home Care: What Families Actually Ask Before Signing"
Reddit

"Families ask about overnight coverage first - not price. We rebuilt our intake script around it."

reddit.com/r/homecare Block B-07
YouTube

"The 3am fall is the moment adult children start searching." - transcript 4:12

youtube.com/watch Block B-11
News

New 2026 CMS rule ties home-health reimbursement to documented care-plan reviews.

news.google.com Block B-04
The rule: Every claim carries a live source URL Every card is routed to a named block No URL, no claim

The "remove the brand name" test

Generic Not original

"Virtual assistants reduce costs by up to 70%."

Could be anyone's. Strip the brand name and it fits every competitor's page word for word - so AI has no reason to name you.

Original AI cites this

"Across 1,200 support conversations we handled last quarter, live chat resolved 71% with no human handoff - median first reply 19 seconds."

Your unfair advantage: a number with a sample size that AI can't find anywhere else - so it quotes it and names you.

"If you remove the brand name, could this paragraph appear on a competitor's website? If yes, it's not original data."

Format example only - illustrates the shape of an original stat, not a real client result.

Why it works

AI has a trust hierarchy - and original data sits at the top

Proprietary data and first-hand expertise sit at the top; rewritten Wikipedia sits at the bottom. Give AI a number it can't find anywhere else, and it cites you by name.

01
Your proprietary data & first-hand expertise A number no one else has
Cited most
02
Named frameworks & original analysis A lens the web doesn't offer
03
Cited third-party research & primary sources Verifiable, attributed
04
Rewritten Wikipedia & generic listicles What everyone already published

See the content AI is citing without you

A free audit shows the exact prompts where AI names a competitor instead of you - the gaps the Content Engine fills with sourced, original data. Named in AI answers in 90 days, or we work free until you are.