A decade of search, inside your own AI
Connect Omnipresence to Claude, Codex, or any agent via MCP. Your agent reads your live visibility data and does the optimisation work against it.
Which 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.
Connect it once and your agent can use the whole product
MCP is the open standard for giving an agent real tools. So you connect once, and your agent can read your projects, pull your presence data and log the work it does. No pasting things between windows.
Connect once
Authorise Omnipresence from Claude, Codex, or any agent that speaks MCP. One connection covers every project on your account, and you just switch between them by name.
Reads your live data
Your tracked prompts, the fanouts they fire, the sources getting cited, and how the rate has moved. It’s the current state, not a static export.
Does the work
Rewrites, briefs and source-level fixes against the pages that actually decide the answer. Then it logs what it changed and when.
Pick a fanout and the skills come with it
You pass a target to your agent and it turns up with everything it needs to act on it. You’re not writing prompts or pasting context, and it isn’t guessing at method.
Update your site
Rewrite the pages that should already be winning the query, against the ones that actually are.
Target existing sources
Go after the third-party pages the model keeps reading, and get your brand into them.
Create competing sources
Where there’s no good source yet, build the one the model cites next.
Fourteen years of search, kept current
The methodology isn’t made up fresh each conversation. It’s a maintained library of processes covering retrieval, content structure, source acquisition and technical work, and it gets updated as the research turns up new things.
- Methodology served over MCP, refreshed without a redeploy
- The same processes behind the published research
- Grounded in your project’s own data, not generic advice
Every action logged, with the page and the date
The agent records what it changed, when, and which target it was aimed at. So your team can see what’s in flight, and the same connection will pull whatever you need for a client report.
- Work logged with page, date and target
- Optimisation markers on the same timeline as the rate
- Control prompts stay untouched by design
- Reporting data pulled through the same connection
Works in the tool you already use
There’s no new interface to learn and no extra window to keep open. If your team already works in Claude, Codex, or any agent that speaks MCP, Omnipresence just shows up there.