OpenClaw agent automates SEO for HVAC website with GitHub integration

An HVAC company using OpenClaw has automated their SEO workflow with a sub-agent that manages website optimization through GitHub and Vercel. The agent runs weekly Ahrefs reports and automatically creates tasks based on the findings.
Setup and workflow
The company's website started from scratch this year and uses GitHub for code hosting with Vercel for deployment. The OpenClaw sub-agent has SEO skills and connects to Ahrefs to generate weekly reports. After each report, the agent adds tasks to a file that it processes on every heartbeat.
The agent can make direct changes to the website code, with the developer reviewing pull requests before deployment. This creates an automated feedback loop where SEO improvements are continuously implemented based on data from Ahrefs.
Results
The company tracked search impressions over 11 weeks, starting from a baseline of 876 impressions per week. After implementing the automated SEO workflow, impressions grew to 15,273 per week, representing 17x growth. Key milestones included:
- Week of Dec 29: 876 impressions (baseline)
- Week of Jan 26: 2,600 impressions (+197% from baseline) – first blog wave
- Week of Feb 2: 4,203 impressions (+380%)
- Week of Feb 9: 4,575 impressions (+422%)
- Week of Feb 16: 8,647 impressions (+887%)
- Week of Feb 23: 9,722 impressions (+1,010%)
- Week of Mar 2: 11,679 impressions (+1,233%)
- Week of Mar 9: 12,711 impressions (+1,352%)
- Week of Mar 16: 15,273 impressions (+1,644%)
The growth pattern shows steady increases with significant jumps after the first blog content wave and continued optimization.
This approach demonstrates how AI coding agents can handle repetitive SEO tasks like content optimization, technical SEO improvements, and performance tracking, freeing developers to focus on higher-level strategy.
📖 Read the full source: r/openclaw
👀 See Also

Developer builds flight comparison tool with Claude Code using BDMA approach
A non-developer built easyscape.eu using Claude Code with a BDMA (build/debug/measure/adjust) loop approach. The tool compares multiple departure airports, integrates real costs like road tolls and parking, and shows the most economical departure option, not just the cheapest ticket.

VibecodedHub: A Discovery Platform Built Entirely with Claude Code
A developer built VibecodedHub, a discovery and launch platform for AI-built projects, using Claude Code as the primary engineer across multiple focused sessions. The platform includes landing page, authentication, feed, project submissions, Stripe integrations, admin panel, SEO, and OG images.

From Zero Code to 25M Game Plays: A Non-Engineer's Journey Building with Claude + Cursor
A developer with no coding experience built three browser games (25M total plays, 200K daily) using Claude via Cursor. Two games are single 8,000-line HTML files. Total tool cost: ~$2K/month.
Local vs VPS OpenClaw deployment: practical differences for AI coding agents
Running OpenClaw locally provides real browser access with existing login sessions and local file access, while VPS deployment limits functionality to basic tasks and faces website restrictions.