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876 impressions/week to 15,273. One AI agent. 11 weeks.

A real case from r/openclaw: automated SEO with weekly Ahrefs reports, GitHub PRs, and human review.

The Problem

Manual SEO work is time-consuming and inconsistent. Most small businesses can't afford dedicated SEO resources.

The Solution

An AI agent running weekly SEO audits, generating content, and raising GitHub PRs for human review — fully automated, minimal oversight.

An r/openclaw user shared something remarkable: they used an AI agent to grow their HVAC company's website from 876 impressions per week to 15,273 — a 17x increase — in just 11 weeks. No SEO agency. No dedicated content team. Just an agent running on autopilot.

The setup: a sub-agent with SEO skills connected to Ahrefs. Every week, it runs a full SEO report, identifies opportunities, adds tasks to a file, and uses those tasks on every heartbeat. The website code lives in GitHub and is hosted on Vercel, so the agent can make changes directly and raise PRs for human review.

The growth curve tells the story: flat for the first three weeks, then the first blog wave hit and impressions jumped 197%. By week 11, they were at 1,644% above baseline. The compounding effect of consistent, automated content publishing is real.

The key insight: the human is in the loop for review, not for execution. The agent does the research, writes the content, and raises the PR. The human approves or rejects. This is the right division of labor — AI handles the repetitive execution, humans handle the judgment calls.

Talking Claw's Automation Claw engine is built for exactly this pattern. Connect your GitHub Skill, set up a weekly SEO automation, and let it run. You review the PRs. The agent handles everything else.

Skip the setup. Start in 2 minutes.

Talking Claw gives you the same AI agent power without the DevOps overhead.

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