Overall score 62/100. Findings below are the buyer-facing issue cards included with the audit report.
Why it matters: AI systems prefer attributed entities. Missing Person/Organization markup weakens citation confidence.
Fix: Add JSON-LD Organization on the homepage and Person on author bios with sameAs profiles.
Why it matters: AI Overviews extract short, self-contained answers. Long marketing copy without a clear definition reduces inclusion odds.
Fix: Add a 40–60 word “What is…” answer block near the top of pricing and product pages.
Why it matters: 14 posts are unreachable from hub pages, limiting crawl and topical reinforcement.
Fix: Link each orphan from a relevant hub/category and add 2 contextual in-body links.
Why it matters: FAQ structure is highly reusable by AI answers; HTML-only FAQs are harder to quote cleanly.
Fix: Implement FAQPage JSON-LD matching visible Q&A on /faq and support pages.
Why it matters: “Best of / vs” queries are heavily cited by AI tools; a 320-word page underperforms.
Fix: Expand /vs/tableau with criteria table, methodology, and dated last-updated note.
Why it matters: Mixed hosts confuse entity consolidation for search and AI crawlers.
Fix: Standardize on https://www… in canonical, OG, and sitemap.
Why it matters: E-E-A-T for AI citations improves when authors show role, experience, and links.
Fix: Add role + LinkedIn sameAs on every byline component.
Why it matters: Discovery gaps delay indexing of new product docs used as citation sources.
Fix: Regenerate sitemap from CMS routes; submit in Search Console.