Connect Omnipresence to Claude or Codex. Your assistant reads your live visibility data and does the optimisation work against it.
Apply nowWhich prompts am I losing, and why?
Three of five tracked prompts sit under 30%. All three lose on the same two fanouts: pricing comparison and vs-competitor. Your pricing page is cited 12 times, your comparison page zero.
Fix the comparison page.
Reading the four sources cited for that fanout, then rewriting the page against them. Marking the fanout as optimising so the before and after stays attributable.
MCP is the open standard for giving an AI assistant real tools. Connect once and your assistant can read your projects, query your presence data and log the work it does, without you pasting anything between windows.
Authorise Omnipresence from Claude or Codex. One connection covers every project on your account, and you switch between them by name.
Your tracked prompts, the fanouts they fire, the sources cited, and how the rate has moved. Not a static export, the current state.
Rewrites, briefs, and source-level fixes against the pages that actually decide the answer, then logs what it changed and when.
The methodology is not improvised per conversation. It is a maintained library of processes and skills covering retrieval, content structure, source acquisition and technical work, updated as the research finds new things.

Because the agent reads the same graph Presence records, optimisation and measurement stay in step. Mark a fanout as being worked and the timeline carries that marker, so a later lift can be traced to a specific change.

No new interface to learn and no window to keep open. If your team already works in Claude or Codex, Omnipresence shows up there.
Omnipresence measures where you stand and hands your assistant the work that changes it. Apply to see if your brand is a fit.
Apply to Omnipresence