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ai-cmo.dev

GEO is real. We measure it.

ai-cmo.dev scores how ChatGPT, Claude, Gemini, Perplexity and Grok present your product — then runs the fixes from inside your repo. One install, first score in 60 seconds.

Start free

didit.me sign-in — private beta

Install the MCP server

GEO score

First measurement in progress

ai-cmo.dev
Visibility
Pending
Share of voice
Pending
Position
Pending
Sentiment
Pending
  • ChatGPT
  • Claude
  • Gemini
  • Perplexity
  • Grok
  • Google
Our own workspace, measured 2026-08-10
  • ChatGPT
  • Claude
  • Gemini
  • Perplexity
  • Grok
  • Google
score components
4
prompts per standard run
150
engines covered
6

How it works

One loop, tied to the work in your repo.

ai-cmo.dev measures how engines present your product, finds the gaps, and turns the next fix into reviewable work.

  1. Measure
  2. Extract
  3. Score
  4. Recommend
  5. Execute
See your score in 60 seconds
ai-cmo.dev score, engine scoreboard, and visibility history

Measure

See the answer engines as a measurable channel.

Each run records where your product appears, how competitors rank, which sources get cited, and how the result changes over time.

Read how scoring works

Act

Turn the next recommendation into a measured change.

The operator moves from evidence to a draft, waits for review, and measures again after the change ships.

“A recommendation is not done until the change is reviewed and the next run shows what moved.”
ai-cmo.dev operating principle

Recommendation board

Prioritized work is tied to evidence from the latest measurement.

ai-cmo.dev recommendation board with prioritized work

Draft in the repo

The operator prepares a reviewable change where the source content lives.

docs/quickstart.md
− vague setup title
+ install and measure in 60 seconds

Verify the result

Approved work queues a fresh run so the next score records what moved.

Re-measurement

Queued after the reviewed change

Compared with the prior run when complete

Start free

First 60 seconds

Install, approve, measure.

01

Install

Add the MCP server from the terminal where you use your coding agent.

Terminal

claude mcp add ai-cmo -- npx -y ai-cmo-mcp

02

Approve the workspace

A browser window opens for didit.me sign-in and workspace approval.

MCP authorization

ai-cmo.dev MCP is requesting access

Choose the workspace the server may measure and approve the connection.

03

First score lands

The checked-in score shape handles the run-in-progress state and updates when measurement completes.

GEO score

First measurement in progress

ai-cmo.dev
Our own workspace, measured 2026-08-10

Works with Claude Code, Cursor, and Codex.

Pricing

Free to start. $5 minimum top-up. Pay for measurement, not seats.

See pricing

Measure what the engines say. Ship the work that changes it.

ai-cmo.dev — the AI CMO for developers