Your agent writes the pages.
Connect the agent you already code with. It pulls the prompts where AI cites a competitor and not you, then drafts the missing pages where your site already lives.
- Claude Code
- Cursor
- Codex
- OpenClaw
Anything that speaks the same protocol. One endpoint, one token.
It reads the suggestions directly.
Ask which buying prompts name a competitor and not you. What comes back is the work, already ranked.
- A topic AI cited a competitor for outranks one that merely exists
- Nothing in the list is a content idea somebody guessed at
What comes back for each one.
Enough for your agent to write the page without asking you anything.
The topic
The answer that proves it
The page that won it
Whether you already cover it
Three steps, once.
- 1
Create a token
One screen, one click. It scopes to your workspace.
- 2
Paste it into your agent's config
One endpoint, one token, done once.
- 3
Ask it what you are missing
It pulls the suggestions and starts drafting.
Your agent reaches all of it.
One token opens the workspace your prompts are measured in, and the answers underneath the measurements.
All the stored answers
What the engine wrote, the day it wrote it, and the sources it cited when it did.
The searches behind them
The search strings the engine issued before it answered, ordered by how often it ran the same one.
Who was named instead of you
The businesses in the answer and the page each of them came from.
The prompts you track
It adds one, pauses one, retires one, or puts a retired one back.
Then your agent ships it.
The agent already open in your terminal reads the finished draft over the same connection, and writes the page where your site lives.
- No credentials leave your machine
- You review it the way you review everything else
