The AI SEO agent that fixes your site and proves the fix worked

A useful AI SEO agent does three things: it finds what is wrong, changes the code or content that causes it, and confirms the change worked where Google sees it. Most tools sold as SEO agents stop after the first step and hand you a report.

The gap is the middle step. A missing canonical on 400 pages is one line in a layout template, but only something with access to your repo can make that change. Coding agents like Claude Code and Codex already have that access. LogNorm gives them the findings, the evidence and a way to check the result. For a wider look at the category, read Best AI SEO Agents in 2026.

Each failing audit rule becomes one move that covers every affected page, so one fix in a template closes one ticket. Your agent claims it, fixes the cause, and LogNorm re-checks only the affected pages.

1. 1
   Audit

   LogNorm crawls your site and runs the SEO audit and the GEO audit. Critical and warning rules become fix moves automatically after every audit.

2. 2
   Claim

   Your agent reads this week's plan, claims a fix move and reads its evidence: the rule, why it matters, how to fix it and every affected URL.

3. 3
   Fix the cause

   It edits the template, metadata, robots.txt, sitemap or llms.txt in your repo and comments the files it changed and the pull request link on the move.

4. 4
   Deploy and validate

   Once the change is live, the agent marks the move published and runs validate_fix. LogNorm re-fetches the affected pages and re-runs that rule.

5. 5
   Close or narrow

   When every page passes, the move closes and measurement starts. Otherwise the move is updated to what is left.

Validation costs a few credits and skips the full re-crawl. Robots and sitemap rules re-check the file. Orphan pages and click depth depend on the whole link graph, so those need a new crawl and audit.

Anything whose cause lives in your code or content files is in reach: metadata, headings, indexability, links, structured data and the files AI crawlers read. Issues that depend on hosting, a CDN rule or a third-party plugin may need a person.

The audit reports only what it checked. Where LogNorm could not verify something, the rule is listed as not checked instead of passing, and AI-judged rules such as thin content carry a confidence so the agent can tell measured facts from calls.

It gets everything a careful developer would ask for before touching the code: the rule, why it matters, how to fix it and every affected URL, plus the evidence LogNorm collected for each page.

For broken internal links and links pointing at redirects, the finding names the URLs behind most of the failures, such as one broken link in a footer that appears on every page. That turns thousands of findings into one edit. Each finding also says how it was checked: Measured, or AI-judged with a confidence, so the agent knows when to look at the page itself before changing it.

The agent reads all of this through LogNorm's read-only API in a sandbox, filtered to what it needs, and comments its plan on the move before it starts. Your team sees the plan, the changed files and the pull request link in the move's discussion.

Because a merged pull request is not a fixed page. Build caches, a CDN, a missed template or a deploy that never ran can all leave the old HTML in place, and only a fresh fetch of the live URL shows what Google will see.

LogNorm's check reports how many findings were fixed, how many remain and how many pages could not be reached. Fixed findings drop out of the audit, the CSV export and the move. A fix that passes then enters results measurement: LogNorm takes a Search Console baseline and measures clicks, impressions and position at 28 and 90 days.

Same agent, narrower job. An AI marketing agent works the whole growth plan, from research and content to competitors and reviews. The SEO agent role is the technical loop: findings in, code changes out, verified on the live site.

Many teams run both as sub-agents of one connection. A fixer takes audit moves in the repo while a writer takes content moves in LogNorm, and each appears under its parent on the dashboard.

You need a site built from a repository, a coding agent that can open it, and a LogNorm workspace with that website added. The GEO audit is on paid plans; the SEO audit runs from the first analysis.

• Start Claude Code, Codex or Cursor in the repo that builds your site.
• Connect it with one sentence and click Allow. See Agents and MCP.
• Paste the Fix audit issues starter prompt, or run the fix_audit slash command in Claude Code.
• Review the agent's pull requests like any teammate's, then deploy.