SEO Agent AI
Sign in Book a demo
How it works

The autonomous loop: monitor → analyze → act

SEO Agent behaves like a senior SEO executive. It watches your site, surfaces what matters, recommends fixes, and executes the approved ones end-to-end — every step logged and reversible.

The five-step loop

Five steps, repeated automatically

1

Monitor

Continuously ingests data from Search Console, analytics, crawlers, behavior tools and SEO data feeds.

2

Analyze

Deterministic rules run first; AI then interprets the context to find what actually matters.

3

Recommend

Generates specific fixes — meta tags, schema, redirect plans, briefs, outreach emails.

4

Approve

Sensitive changes pause at a human approval gate via Slack or email before anything ships.

5

Act

Approved actions become tasks and changes — then the page is re-verified, and the loop continues.

Workflow pipeline from monitor to act
The differentiator · SOPs

Standard Operating Procedures do the heavy lifting

An SOP packages a multi-step SEO playbook into a repeatable, automated workflow. Each one chains data pulls → AI analysis → recommended actions → tasks, and can run on demand or on a schedule.

  • Approval gates — content rewrites and disavows pause for sign-off
  • Stop / resume — pause a run and resume without losing completed work
  • Slack notifications on completion and at every gate
  • Audit logging — every automated decision is tracked and reversible
Built-in playbooks

Seven SOPs, ready on day one

All include approval gates, Slack notifications and audit logging. Run them manually or on a schedule.

On-Page Optimization Playbook Manual

Crawl → analyze → generate fixes → create tasks → notify.

Technical SEO Health Check Manual

Crawl → Core Web Vitals → redirects → fix plan → email report.

Competitor Response Playbook Manual

Scan rankings → detect new keywords → analyze gaps → briefs → alert team.

Content Decay Prevention Manual

Detect declining pages → SERP analysis → refresh plans → schedule follow-up.

Link Building Outreach Tue 08:00

Gap analysis → prospects → personalized outreach emails → campaign tasks.

UX Optimization from Behavior Wed 07:00

Behavior snapshot → anomalies → UX fixes → developer tasks.

Weekly SEO Executive Report Mon 09:00

Aggregate data → detect anomalies → write summary → create investigation tasks → email stakeholders.

Cost & efficiency by design

Powerful automation, predictable spend

Deliberate engineering keeps AI and third-party API costs low — without sacrificing depth.

One AI call per cycle

Wherever possible, a single structured AI call per analysis cycle keeps spend predictable.

Aggressive caching

Third-party responses are cached and shared across projects — cutting external API calls ~60–70%.

Deterministic first

Rules and validation run in code before involving paid AI — improving reliability and reducing cost.

GSC metrics cache
1h / 24h
DataForSEO rankings
6h
Entity lookups
30 days
API call reduction
~65%

Watch the automation layer run live

See a scheduled SOP go from data pull to approved, executed action — with your own site.

Book a live demo Explore features