Every tool runs real deterministic checks. Several share the same crawler engine, but each page focuses the report on a distinct job.
Start with a combined crawl and prioritized SEO, AEO, GEO and AI-search readiness report.
Crawl a public website and inspect technical SEO, on-page SEO, answer readiness, generative search readiness, entity signals, citation readiness, crawler access, schema, internal links and topical coverage.
Open tool →Technical, on-page, crawlability and structured-data checks grounded in public-page evidence.
Audit core technical and on-page SEO signals across a small crawl of a public website.
Open tool →Check HTTPS, indexability, canonicals, response status, mobile viewport, language, robots, sitemap and structured data.
Open tool →Review titles, descriptions, headings, images, page copy and content structure across crawled pages.
Open tool →Fetch and inspect robots.txt for blocking rules, sitemap references and common crawler directives.
Open tool →Fetch the root XML sitemap, validate its basic structure and inspect declared URLs.
Open tool →Parse JSON-LD blocks, report schema types and identify invalid JSON-LD or missing entity-focused structured data.
Open tool →Find missing, unusually short/long and duplicated title elements across the bounded crawl.
Open tool →Find missing, unusually short/long and duplicated meta descriptions across crawled pages.
Open tool →Review H1 counts and whether substantial pages provide useful secondary heading structure.
Open tool →Inspect canonical targets, noindex directives and cross-host canonical signals across crawled pages.
Open tool →Summarize crawled image counts and missing alt attributes without treating decorative empty alt text as automatically wrong.
Open tool →Check Open Graph title/description and Twitter card signals that help shared pages present clearly.
Open tool →Compare URLs declared in the root sitemap with URLs observed in the bounded crawl and explain the sampling limitation.
Open tool →Answer-engine optimization checks for extractable, concise, well-structured answers and supporting context.
Check whether important content is structured so search and answer systems can extract concise answers and supporting context.
Open tool →Analyze headings, concise answer blocks, lists, tables and semantic article structure for machine-readable answers.
Open tool →Look for concise definitional answer patterns that can make explanatory content easier to extract.
Open tool →Measure question-style headings and direct-answer coverage across crawled pages.
Open tool →Check whether content uses lists and tables where structured extraction may be useful.
Open tool →Generative and AI-search readiness checks focused on discoverability, entity clarity, evidence and citation-worthiness.
Measure evidence-based generative-engine readiness signals such as source support, entity clarity, content structure and citation-worthiness.
Open tool →Check crawlability, answer structure, entity clarity, evidence, citations and public-page signals relevant to modern AI search discovery.
Open tool →Inspect robots.txt directives for OAI-SearchBot, GPTBot and general crawling without claiming that crawler access guarantees ranking or citation.
Open tool →Inspect Organization, Person, WebSite and sameAs signals that help make the site and publisher identity explicit.
Open tool →Analyze source links, named authorship, dates, evidence language and reference structure that can make content easier to verify and cite.
Open tool →Measure source diversity, HTTPS source links and evidence language without pretending to know a source's authority from URL alone.
Open tool →Compare numeric/factual-looking claims with visible evidence and source-link support.
Open tool →Review Organization/Person schema, sameAs identity links and optional brand-name consistency across pages.
Open tool →Inspect sameAs structured-data links used to declare external identity profiles.
Open tool →Use the optional brand field to check whether the brand is represented consistently across key crawled page signals.
Open tool →Review semantic main/article structure, concise paragraphs, questions, lists and tables as observable extraction signals.
Open tool →Look for concise statements supported by visible sources, authorship and update signals.
Open tool →Summarize unique external source domains, HTTPS use and anchor-label quality across crawled pages.
Open tool →Deterministic content structure, internal linking, trust and topical coverage tools.
Inspect H1/H2/H3 hierarchy, paragraph size, lists, tables and semantic main/article structure.
Open tool →Map internal links within the crawl, identify weakly linked pages and summarize crawl connectivity.
Open tool →Use deterministic term and page-coverage analysis to summarize topical focus and thin coverage across the crawled pages.
Open tool →Review visible published/updated signals across crawled content without guessing actual freshness from dates we cannot verify.
Open tool →Check visible author/reviewer wording and Person/Article-related structured-data signals.
Open tool →Review observable authorship, source support, about/contact paths, entity markup and update signals; this is not a Google E-E-A-T score.
Open tool →Measure deterministic title/heading term coverage across crawled pages without claiming keyword volume.
Open tool →Build a bounded internal-link graph and identify crawled pages receiving weak internal-link support.
Open tool →Map prominent deterministic terms to the crawled pages where those terms appear in titles and headings.
Open tool →Compare two public sites using exactly the same bounded readiness methodology.
Compare two public websites using the same SEO, AEO, GEO and AI-search readiness methodology and show category-level gaps.
Open tool →Crawl two public sites and compare prominent title/heading topics using the same bounded methodology.
Open tool →Compare two public sites across technical, AEO, GEO, trust, entities, citations, internal linking and topical coverage to expose measurable gaps.
Open tool →Analyze user-supplied Search Console, GA4, server-log and observed AI-answer data locally on the server without paid APIs.
Paste or upload a Search Console performance CSV to find high-impression low-CTR and near-page-one query opportunities.
Open tool →Paste or upload GA4 traffic-source CSV data and summarize rows that contain common AI assistant/search referral domains.
Open tool →Paste Apache/Nginx access logs and summarize observed AI-related crawler user-agent tokens and status patterns.
Open tool →Paste an answer from an AI/search system and extract cited URLs, domains and visible brand/domain mentions without querying that system.
Open tool →Paste two observed AI/search answers and compare brand, competitor, URL and citation-domain mentions side by side.
Open tool →Turn observed website findings into prioritized implementation work.
Run the broad readiness audit and generate deterministic priority areas from the observed public-site signals.
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