AI-Assisted SEO/GEO Auditing
A Living Workflow for Continuous Optimization
Last updated: January 2026
The Problem: Traditional SEO audits are point-in-time snapshots. By the time you implement findings, best practices have changed — especially for AI discoverability.
“The AI crawler landscape changes faster than documentation can keep up. Your audit workflow needs to be self-updating.”
Why AI-Assisted Auditing
Traditional Audits
- • Point-in-time snapshots
- • Manual checklist updates
- • Outdated by publication
- • No research verification
AI-Assisted Audits
- • Continuous, research-backed updates
- • Self-updating best practices
- • Verifies against current sources
- • Implements findings directly
The Tool Stack
Three tools working together: one orchestrates, one researches, one documents.
Claude Code
OrchestratorRuns the workflow, executes commands, edits files. The command center.
Firecrawl MCP
ResearchSearches the web for current best practices, scrapes authoritative sources.
Context7 MCP
DocumentationLooks up library documentation for technical SEO implementations.
Workflow
The Framework: 7 Checkpoints
A systematic audit covering both traditional SEO and AI discoverability (GEO):
AI Discoverability
critical- • llms.txt (summary)
- • llms-full.txt (comprehensive)
Open Graph Images
important- • Dynamic OG images
- • Social preview cards
robots.txt
critical- • AI crawler allowances
- • Current crawler names (2026)
Sitemap
important- • sitemap.xml coverage
- • Priority settings
Meta Configuration
important- • Title/description tags
- • Canonical URLs
Schema.org
important- • JSON-LD structured data
- • Article/Person schemas
Analytics
optional- • Privacy-first tracking
- • Core Web Vitals
Case Study: daveliew.com (January 2026)
Key Discovery: Outdated Crawler Names
During an audit, Firecrawl searched for “AI crawler robots.txt 2026” and discovered that several crawler names had changed since mid-2025. The robots.txt was using outdated names.
| Old Name | Current Name | Changed |
|---|---|---|
| Claude-Web | ClaudeBot | Late 2025 |
| GPTBot | ChatGPT-User, OAI-SearchBot | 2024-2025 |
| PerplexityBot | PerplexityBot (unchanged) | N/A |
| Google-Extended | Google-Extended (deprecated) | 2025 |
Before
# AI Crawlers
User-agent: GPTBot
Allow: /
User-agent: Claude-Web
Allow: /
User-agent: Google-Extended
Disallow: /Grade: B+ (outdated names)
After
# AI Crawlers (2026)
User-agent: ClaudeBot
Allow: /
User-agent: ChatGPT-User
Allow: /
User-agent: OAI-SearchBot
Allow: /Grade: A- (current + llms-full.txt added)
The Living Workflow
1. Run Audit
Use an /seo-geo-audit skill or ask Claude Code to audit your site.
"Run an SEO/GEO audit on this site"2. Research Current Best Practices
Firecrawl searches for the latest information on any findings that seem potentially outdated.
firecrawl_search: "AI crawler robots.txt best practices 2026"3. Verify Against Sources
Scrape authoritative sources to confirm findings before implementing changes.
Trusted sources: Search Engine Journal, Rankability, FirstPageSage, official documentation
4. Implement & Update
Claude Code implements the changes directly. If you're using a skill, update the skill itself so future audits benefit from the new knowledge.
Meta-Improvement
The workflow improves itself. When you discover outdated information during an audit, update both your site AND the audit skill/checklist. Next time, the audit catches it automatically.
Key Takeaways
For SEO Practitioners
- • AI crawlers change frequently — verify quarterly
- • llms.txt is becoming standard (see llmstxt.org)
- • GEO ≠ SEO (treat AI discoverability as separate channel)
- • Privacy-first analytics don't compromise rankings
For Claude Code Users
- • MCP tools extend Claude's capabilities significantly
- • Research tools + implementation = a closed loop
- • Skills can be self-improving (update as you learn)
- • Document your workflow for future sessions
Resources
Start Your Own Living Audit
The best time to audit your SEO/GEO infrastructure is now. The second best time is before your next deployment.
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