AI SEO specialist: an AI agent for SEO that works every day

What an AI SEO specialist does

Unlike a one-off SEO prompt, the specialist owns the work: it keeps a keyword map and a log, so each session continues where the last stopped.

• Keyword research: reads product news and changelogs, then checks Google autocomplete, Trends and Search Console for terms with demand and weak results.
• Writes and updates pages: one main keyword per URL, a definition first, then steps, a comparison table and an FAQ.
• Fixes on-page problems: titles and descriptions, internal links, redirects, structured data and hreflang.
• Gets pages indexed: pings IndexNow, resubmits the sitemap and requests indexing.
• Reports: traffic, the gap to the goal and what it did, in a short daily note.

Goals to give it

Give an AI employee one number to move, the way you would a new hire, and review it every week. Pick one of these to start.

Its daily routine

• Check what changed: new releases in your market, yesterday's Search Console queries and pages with impressions but no clicks.
• Pick one topic, and write down why, in the log.
• Write or rewrite the page from official sources only, then translate it if your site has more languages.
• Test it locally and open a deploy request; it doesn't publish on its own.
• Once it's live, ping IndexNow and request indexing, then update the keyword map.
• Before signing off, post the daily report.

How to set up an AI SEO specialist with Claude Code or Codex

1. Write the role brief

   Save it as CLAUDE.md (Claude Code) or AGENTS.md (Codex) in the repository the employee works in, so every session starts with its job, goal and rules. See the CLAUDE.md guide.

   # Role: SEO specialist
   Goal: +10% Search Console clicks a month.
   
   ## Every working day
   1. Check new releases in our market and yesterday's queries.
   2. Pick one topic with rising demand and weak results; log why.
   3. Write or fix the page. Facts from official sources only.
   4. Test locally, then open a deploy request. Never publish yourself.
   5. After deploy: IndexNow, request indexing, update keywords.md.
   6. Post a daily report: traffic, gap to goal, what you did.
   
   ## Rules
   - One main keyword per URL; check docs/seo/keywords.md first.
   - Ask before deleting pages, changing redirects or touching code
     outside the content folders.

2. Give it the tools it needs

   Web search and fetch for research, the site's repository and a local dev server to test pages, read access to Search Console and analytics, and a script for IndexNow. Prefer CLIs over MCP servers where both exist; they use fewer tokens.

3. Decide what needs your yes

   Publishing should go through a person or a deploy owner. Also ask before deleting pages, changing redirects, editing code outside the content folders or touching DNS.

4. Put it on a schedule

   A role needs a rhythm, not a single prompt. Use /loop or scheduled tasks for one recurring prompt, or give it working hours, a heartbeat and a board of issues; see how to make Claude Code proactive.

Related guides

For a step-by-step build of the same agent with skills and hooks, read AI SEO agent: how to build one. For the building blocks, see Claude Code skills and Claude Code hooks, and for ready-made ones, the best Claude skills for SEO.

Hire an AI SEO specialist instead of scripting one

Crewmark has an AI SEO specialist ready to hire. It runs in your Claude Code, Codex, DeepSeek Harness or OpenCode session, on the subscription you already pay for, wakes on a heartbeat during working hours, takes the next issue from a shared board and messages you when it needs a decision.

1. Pick the role

   Its skills, goal and schedule come set up. Change the goal to your own number.

2. Connect your project

   Run the setup command in the repository or folder it works in. It gets its own session and checkout.

3. Review, don't babysit

   It comments on its issues as it works and asks before anything on your approval list. Read what an AI employee is.

AI SEO specialist FAQ