GEO tech audit
Same shape as AEO audit but for generative engine readiness. Entity declarations, schema.org markup, semantic HTML5, knowledge graph signals.
Executive summary
Three short paragraphs explaining the feature and value.
GEO tech audit runs the same scan shape as AEO but against a different rubric, one tuned for AI summaries inside search results rather than direct AI chat responses. The rubric checks entity declarations, schema.org Organization markup, semantic HTML5 structure, knowledge graph signals, and the structural cues AI summary writers pull from at generation time.
Three tabs match the AEO audit: Score, Audit items, Brand pages. The Score tab gives the headline GEO audit number with delta and prioritised actions. Audit items breaks down per check pass rates. Brand pages drills into URL specific failings. Identical workflow makes auditors comfortable switching between AEO and GEO audits inside one session.
GEO audit matters most for brands targeting AI summary inclusion. AI summaries inside search results pull from structured signals more than from prose alone. Brands that fix the GEO audit rubric become eligible for AI summary citations even if their underlying content has not changed. The structural lift alone often moves GEO visibility scores within four to six weeks.
Key highlights
Five capability points teams should know about quickly.
- Entity declarations and schema.org markup checks
- Semantic HTML5 structure validation
- Knowledge graph signal completeness scoring
- Score, Audit items, Brand pages tabs
- Often moves GEO visibility within six weeks
Top FAQs
Five common questions answered for fast practical clarity.
What is the GEO audit rubric?
Entity declarations, schema.org Organization and Product markup, semantic HTML5 structure, knowledge graph signals, structured data validity, alt text completeness, heading hierarchy, internal link structure, and similar machine readable signals. The full list lives in the Tech audit items catalogue with weights and definitions per check for full transparency across the team.
Why does schema markup matter for GEO?
AI summary writers pull from structured signals when composing answers. Schema markup gives the model an unambiguous fingerprint of what the page is about, who the brand is, what it sells, and how the entity relates to other brands. Pages without schema markup get summarised based on inference from prose, which is less reliable for consistent citation.
How do I prioritise GEO fixes?
Sort the Audit items tab by weight, then by failing page count. The top weighted checks with the most failing pages move the score most. Schema.org Organization markup typically tops this list because it affects every page on a domain. Entity declarations come second. Specific page level fixes like alt text rank lower in initial sprints typically.
How long until GEO scores reflect the fixes?
Two to six weeks. AI summary surfaces refresh on their own schedule, often slower than direct AI chat surfaces. Schema and entity changes propagate as AI summary endpoints re index. Plan GEO sprints with the lag in mind: fix a batch, wait three to four weeks for the visibility scan to capture the lift, then iterate to the next batch.
Can I run GEO audit on a single page?
Yes. From the Brand pages tab, click any specific URL to run an on demand audit against that single page. Useful when iterating on a critical page like a homepage or a flagship product page. On demand results post within thirty seconds and update the page's row in the Brand pages tab without re running the entire workspace scan.