How to Run a GEO Content Audit on Your WordPress Site

6 min read
GEOWordPressStrategy

What Is a GEO Content Audit?

A GEO content audit evaluates your existing content through the lens of AI search optimization. Unlike a traditional SEO audit that focuses on keywords, backlinks, and technical crawlability for Google, a GEO audit asks: "Is this content structured and presented in a way that AI search engines can effectively discover, understand, and cite?"

Most WordPress sites have years of content that was optimized for traditional search. A GEO audit identifies which pages have the highest potential for AI citations and what specific changes would unlock that potential.

Before You Start: Gather Your Data

You'll need these inputs for an effective GEO audit:

  • Server access logs (to identify AI crawler activity)
  • List of all published posts and pages (WordPress export or sitemap)
  • Current robots.txt configuration
  • Existing schema markup (if any)
  • Google Search Console data (to identify high-traffic pages)
  • Analytics data showing which pages already receive AI referral traffic

If you're using Arvo GEO, the plugin provides most of this data through its dashboard, including AI crawler activity, content scoring, and crawl patterns.

Phase 1: Crawlability Assessment

Check AI Crawler Access

The first question: can AI crawlers even reach your content?

  1. Review robots.txt — Are GPTBot, ClaudeBot, PerplexityBot, and other AI crawlers explicitly allowed?
  2. Check for meta tags — Are any pages using noai or noimageai meta tags?
  3. Verify sitemap accessibility — Can AI crawlers access your XML sitemap?
  4. Test rendered content — Some WordPress themes load content via JavaScript that crawlers may not execute

Analyze AI Crawler Logs

Look at your access logs for the past 30-90 days:

  • Which AI crawlers are visiting your site?
  • How frequently do they crawl?
  • Which pages do they visit most?
  • Are there pages they should visit but don't?

Key insight: If AI crawlers are only visiting your homepage and top-level pages, your internal linking or sitemap may not be guiding them to deeper content.

Crawl Budget Assessment

AI crawlers have limited crawl budgets for each site. If you have thousands of pages, they won't crawl everything. Prioritize:

  • Remove or noindex thin content that wastes crawl budget
  • Ensure your highest-value pages are discoverable within 2-3 clicks from the homepage
  • Check that your sitemap only includes pages you actually want AI crawlers to index

Phase 2: Content Structure Evaluation

For each page in your audit, evaluate these structural elements:

Heading Hierarchy

Score each page on:

  • Does it have a clear H1 that describes the topic?
  • Are H2s descriptive and question-based where appropriate?
  • Is the heading hierarchy logical (no skipped levels)?
  • Do headings cover the key aspects of the topic?

Information Density

AI models prefer content that is information-rich. For each section, ask:

  • Does this section contain a specific, citable fact or recommendation?
  • Is the key information in the first 1-2 sentences of the section?
  • Are there concrete numbers, dates, or data points?

Self-Containment

Can individual sections stand alone as answers? Review each H2 section:

  • Would this make sense if quoted without surrounding context?
  • Does it answer a specific question completely?
  • Is it between 50-200 words (the typical citation length)?

Scoring Rubric

Rate each page 1-5 on structure:

  • 1: Wall of text, no headings, no formatting
  • 2: Basic headings but generic ("Introduction," "Conclusion")
  • 3: Descriptive headings, some structured content
  • 4: Question-based headings, front-loaded information, good formatting
  • 5: Fully optimized: self-contained sections, tables, lists, clear definitions

Phase 3: Schema Markup Review

Audit your existing structured data and identify gaps:

Check Current Schema

Use Google's Rich Results Test or Schema Markup Validator to see what structured data each page currently has. Common issues:

  • Missing Article schema on blog posts
  • No FAQ schema on pages that answer common questions
  • Incomplete Product schema on e-commerce pages
  • Missing Organization schema on the site level
  • No BreadcrumbList schema for navigation

Schema Opportunities

For each content type on your site, identify the appropriate schema:

| Content Type | Recommended Schema | |---|---| | Blog posts | Article, FAQ (if applicable) | | Product pages | Product, Review, FAQ | | Service pages | Service, FAQ, HowTo | | How-to guides | HowTo, Article | | Documentation | TechArticle, FAQ | | Local business | LocalBusiness, FAQ |

Implementation Priority

Prioritize schema additions based on:

  1. Pages that already receive AI crawler visits
  2. Pages targeting high-volume question-based queries
  3. Pages with existing rich content that just needs markup

Phase 4: Content Quality Assessment

Uniqueness Check

AI models deprioritize duplicate or near-duplicate content. Check for:

  • Manufacturer descriptions copied from other sites
  • Boilerplate text repeated across multiple pages
  • Thin content that adds no unique value

Authority Signals

AI models prefer authoritative sources. Evaluate:

  • Does the content include original data, research, or expert opinions?
  • Are claims supported with specifics (numbers, dates, sources)?
  • Is the content comprehensive for its topic?
  • Is the author identified and credible?

Freshness

Outdated content is less likely to be cited. Flag pages with:

  • Prices, statistics, or data more than 12 months old
  • References to discontinued products or services
  • Broken links or outdated recommendations

Phase 5: Prioritization Matrix

After scoring all pages, create a prioritization matrix:

High Priority (Fix First)

  • Pages that already receive AI crawler visits but have poor structure
  • High-traffic pages with no schema markup
  • Pages targeting question-based queries with thin answers

Medium Priority

  • Pages with good content but poor formatting
  • Pages missing FAQ schema where FAQs would be natural
  • Category/archive pages with no introductory content

Low Priority

  • Old content that gets minimal traffic
  • Pages that are already well-structured
  • Content types not typically cited by AI (legal pages, privacy policies)

Creating Your Action Plan

Based on your audit, create a prioritized task list:

  1. Week 1-2: Fix robots.txt and crawlability issues (immediate impact)
  2. Week 3-4: Restructure your top 10 highest-potential pages
  3. Week 5-6: Add schema markup to priority pages
  4. Week 7-8: Update and expand thin content on medium-priority pages
  5. Ongoing: Monitor AI crawler activity and citation metrics to measure impact

Tools for GEO Content Auditing

  • Arvo GEO plugin: Automated GEO scoring, AI crawler tracking, and content recommendations
  • Screaming Frog: Technical crawl to check heading structure, schema, and internal links
  • Google Search Console: Query data to identify question-based traffic
  • Server logs: Raw AI crawler activity data
  • Schema Markup Validator: Verify structured data implementation

Measuring Audit Impact

After implementing changes, track:

  • AI crawler visit frequency (should increase for restructured pages)
  • GEO content scores (if using Arvo GEO)
  • AI referral traffic from Perplexity, ChatGPT, etc.
  • New citations appearing in AI search responses for your target queries

A GEO content audit isn't a one-time exercise. AI search is evolving rapidly, and your content optimization should evolve with it. Plan to re-audit quarterly, focusing on new content and pages where metrics have changed significantly.