A complete overview of every criterion our AI ranking audit evaluates, organized by category. This is what AI models look for when deciding whether to recommend your business.
Our 132-point audit evaluates your website and online presence across seven major categories. Each category contains multiple individual criteria, weighted by their impact on AI recommendation likelihood. Below is an overview of each category and the types of signals we evaluate.
SSL certificate validity and configuration, page speed and Core Web Vitals (LCP, FID, CLS), mobile responsiveness, HTTP security headers, DNS configuration, robots.txt and sitemap accessibility, canonical tag implementation, HTTPS enforcement, and server response time.
Organization/LocalBusiness schema presence and completeness, service schema for each service offered, review/rating schema, FAQ schema, breadcrumb schema, WebSite and WebPage schema, industry-specific schema types, JSON-LD validation, and schema error/warning detection.
Content length and depth per page, heading hierarchy (H1-H6), meta title and description optimization, image alt text completeness, content uniqueness, topic authority signals, FAQ content presence, service/product page completeness, and readability assessment.
Google review count and average rating, review recency and consistency, owner response rate, review sentiment analysis, presence on industry-specific review platforms, BBB accreditation, and cross-platform review consistency.
Domain authority indicators, referring domain count and quality, backlink diversity, directory listing presence, industry association memberships, citation consistency, and authority content signals from external sources.
Google Business Profile completeness, social media profile presence and activity, NAP consistency across directories, industry directory presence, social engagement signals, and cross-platform information consistency.
Content crawlability for AI models, entity clarity and disambiguation, topic relevance alignment, competitive positioning signals, content freshness and update frequency, and AI platform-specific optimization factors.
You can manually evaluate some of these criteria yourself: check your Google Business Profile, count your reviews, look at your schema markup. But manually checking 132 criteria across multiple data sources would take days. Our AI ranking audit evaluates all 132 criteria in approximately a free consult using the same APIs and data sources that AI platforms themselves use.
The AI ranking audit also provides something manual checking can't: a weighted score that reflects the relative importance of each criterion, a prioritized action plan showing highest-impact fixes first, and ongoing monitoring that tracks changes over time.
No. Criteria are weighted by their impact on AI recommendation likelihood. Schema markup and review signals carry more weight than some technical factors like specific HTTP headers. The exact weights are based on our analysis of what AI models prioritize when forming business recommendations. Your audit results show both individual criterion scores and weighted category scores.
Yes. As AI platforms evolve their recommendation algorithms, we update our criteria to reflect current best practices. We regularly add new criteria, adjust weights, and remove criteria that are no longer relevant. Subscribers are notified when significant changes are made that might affect their scores.
It's theoretically possible but rare in practice. A perfect score would require flawless execution across all 132 criteria, including extensive review profiles, comprehensive schema markup, perfect technical implementation, and strong authority signals. Most high-performing businesses score in the 75-90 range. The goal isn't perfection — it's scoring higher than your competitors.