SEO + AI Visibility Audit
A full-site technical audit tool built to validate Remodel Atlas as it scales, covering crawlability, sitemaps, metadata, structured data, internal links and AI discoverability.
Remodel Atlas was built to grow into hundreds of public URLs, which made manual technical QA increasingly unreliable.
We built a dedicated SEO + AI Visibility Audit inside the ConsultEvo Interactive Lab to crawl the complete public site and inspect the signals search engines and AI systems actually receive.
A new audit begins with site discovery through the homepage, robots.txt and XML sitemaps. It then crawls the discovered URLs and evaluates HTTP behavior, indexability, titles, descriptions, canonicals, heading structure, structured data, breadcrumbs, FAQ visibility, internal linking, images, Open Graph and Twitter metadata, sitemap consistency and AI-facing discovery files.
Site-level checks and cross-page collision analysis identify problems that cannot be evaluated correctly one page at a time, including duplicate metadata, canonical conflicts, missing internal references and sitemap inconsistencies.
The auditor uses fresh per-run HTTP fetching so each audit evaluates the current public representation rather than a cached snapshot. Results are grouped by severity and category, individual URLs can be inspected, and completed audits can be exported as PDF, CSV or JSON.
The tool was initially created to support Remodel Atlas, but was designed as a reusable ConsultEvo Lab product that can audit other public websites as well. Public access uses work-email verification, while internal access supports unrestricted testing and QA.