One approval queue for every client.

The agent works each client’s rankings on Google, Maps and AI assistants. Your team approves the work.

The bitSEO review queue. Six drafted fixes wait for approval; the open one is a robots.txt that unblocks GPTBot, with Approve and Reject beneath it.

The review queue, from a sample audit of a made-up business.

Every client, tracked in three places.

Google search
Tracked keywords and competitor gaps for each client.
Google Maps
A rank grid and a Business Profile audit for each local client.
AI assistants
What ChatGPT, Gemini, Perplexity and Claude say about each client, with the sample behind every number.
A bitSEO audit result: a count of the issues to fix, split by severity, then each issue with the fix to make.

Pitch with a finding.

Audit a prospect’s site before the call. It respects the site’s robots.txt and runs only when you ask.

Each organization’s people, websites, data and spend are separate.

Enforced in the database, on every query.

A cap on every provider.

Set a monthly limit. See the cost before a paid action runs.

70%

The monthly spend at which bitSEO raises an alert, per provider. An action that would pass the cap does not run.

Hand over a report.

A PDF
One page: score, share of voice, top gaps, ranked fixes.
A link
It expires after the number of days you set.
Every issue
Dated, and you can reopen any of them.

Try it on sample data first.

Sandbox mode returns sample answers and costs nothing.