1. 1Draft
  2. 2Score
  3. 3Live check
  4. 4Advice
  5. 5Polish
  6. 6Rivals
How citeablenot scored yet

LLMagnet

Article editing for LLM citation

If AI answers the question,
make it quote you.

Score citeability. Pressure-test the news cycle. Edit for machines without killing the story.

Two editors in every stepThe Human Edge and the SEO Specialist Editor — side by side, always.
One draft, whole journeyScore → live check → advice → polish → rivals. No re-pasting.
Context carries forwardScore, live signals, and advice feed the next prompt — not a fresh start each time.

How editing works here

Three beats. You’re done before the next stand-up.

1

Open with your draft

Paste or import a URL. That article becomes the single working copy for the whole flow.

2

Score it, then pressure-test it

Get a citability score, then check Google and X so you know if you’re behind the news cycle.

3

Polish, then close the gaps

Accept the rewrite, then see what rival coverage still has on you — and fix it.

Why not just ChatGPT?

LLMagnet vs OpenAI vs Claude

OpenAI and Claude are excellent general models. LLMagnet is a specialized editorial product for making news articles more citeable — often powered by those same models under the hood.

CapabilityLLMagnetOpenAI ChatGPTClaude
Built for newsroom article editingYes — draft → score → live → advice → polish → rivalsBlank chatBlank chat
Citeability score for answer enginesLive probe + E-E-A-T matrixNo product scoreNo product score (rarely cites)
Live news / X / Reddit pressure-testBuilt into Live checkNeeds custom toolingNeeds custom tooling
Context carries across editsScore + live + advice feed the next promptManual re-pasteManual re-paste
Rival coverage gap analysisScrapes other outlets vs your draftDIY researchDIY research

FAQ

Questions editors ask first

Whether an answer engine would lift a sentence from your piece when answering a user — denser claims, named entities, attribution, and extractable structure.