CiteTrack SEO/AEO/GEO Toolkit

Short summary Page SEO/AEO/GEO, agentic browsing, LLM readability, robots/schema lint, links, screenshots, assets, and workflows. Detailed description CiteTrack SEO/AEO/GEO Toolkit helps you audit the page you are viewing and turn the findings into practical next steps. It combines on-page SEO, technical checks, AI visibility signals, agentic browsing readiness, structured data review, content guidance, accessibility checks, responsive QA, screenshot evidence, and exportable workflows in one Chrome extension. It is built for consultants, agencies, content teams, developers, founders, SaaS marketers, WordPress site owners, and QA teams who need fast page-level insight while browsing. Most checks run locally in your browser and do not require a CiteTrack account or API key. Optional workflows such as header checks, same-origin link status, PageSpeed pulls, RDAP lookup, cache clearing, Internet Archive lookup, competitor URL comparison, SERP evidence capture, and screen capture run only when you choose to use them. What you can audit CiteTrack creates a structured report for the current page. It checks the page signals that affect search visibility, crawlability, accessibility, AI readability, agent usability, and client or developer handoff. Core checks include: - Page title and meta description - Canonical URL - Meta robots and X-Robots-Tag - HTTP status, redirects, final URL, server, and cache headers - Viewport, language, and author signals - Word count, paragraph count, sentence count, and readability - H1 through H6 heading outline - Multiple H1 and heading-order issues - Hreflang discovery - Open Graph and social preview metadata - Structured data summary - Image alt coverage and missing image dimensions - Internal and external link counts - Anchor text usage - Priority findings and recommendations Technical SEO and crawlability The technical section helps you understand whether the page can be reached, crawled, parsed, and trusted. Technical features include: - Status and redirect review - Header review - robots.txt and llms.txt discovery - Sitemap discovery and confirmed sitemap reporting - Raw HTML vs rendered DOM comparison - JavaScript visibility checks - Content hidden behind client-side rendering - CMS, framework, analytics, CDN, plugin, generator, and loaded asset clues - RDAP/domain registration evidence when available - Lookup shortcuts for external validation tools AI visibility and LLM readability CiteTrack includes AI-focused diagnostics for pages that need to be understood, summarized, quoted, or cited by answer systems. AI visibility features include: - AEO/GEO readiness score - LLM Readability Score - Citation-readability signals - Raw HTML coverage - Hidden-content risk - Exact robots.txt tester for the audited page path - Crawler access summary for major search and AI crawler groups - Matching robots.txt rule and line number when a page is blocked - Entity clarity signals - Freshness signals - sameAs schema and social profile signals - E-E-A-T style page evidence based on visible content - Manual AI evidence workflow for checking how assistants answer buyer-style prompts - On-device AI review when Chrome exposes a local model to extensions The LLM Readability Score is not a ranking guarantee. It is a practical page-level score that explains whether the page has visible copy, clear questions, extractable answers, useful structured data, readable sentences, and crawlable/indexable signals. Agentic browsing readiness The Agentic tab reviews whether a browser-based agent could reasonably reach, understand, navigate, and use the current page from observable browser evidence. Agentic checks include: - Official access: HTTP status, redirects, robots rules for this page path, noindex signals, sitemap or llms.txt clues, and raw HTML availability - Material gaps: content depth, question and answer material, raw HTML coverage, hidden-content risk, freshness, proof, contact, docs, and pricing clues - Agent navigation: landmarks, internal paths, anchor clarity, JavaScript-only links, and visible task language - Task completion: action links, named buttons, forms, search controls, and blocker language such as consent, verification, or login walls - Structured actions: action-ready schema, entity schema, breadcrumb signals, answer-oriented schema, schema lint health, and visible API or docs hints - Reliability: speed clues, render-blocking resources, third-party script load, link issues, and receipts The Agentic score is not a claim about what any specific AI product will do. It is a local page audit that shows whether the page exposes the kinds of surfaces browser agents usually need. Structured data CiteTrack detects and displays structured data directly in the extension. Schema features include: - JSON-LD, microdata, and RDFa detection - Schema type summary - Valid and invalid JSON-LD counts - Full schema explorer - Schema block and property details - Schema JSON export - Schema CSV export - Schema linter - Checks for invalid JSON, missing types, unusual dates, rating issues, breadcrumb problems, and canonical mismatches - Plain-language fix notes where a local fix can be inferred Content optimization The content section helps you understand whether the page is structured for search results, answer engines, and human readers. Content features include: - Readability grade and reading ease - Long sentence and long paragraph detection - Question-led heading detection - Extractable answer-block detection - Featured snippet style readiness - Voice-search and conversational structure signals - People Also Ask style content analysis - Keyword cloud - Entity candidates - Local term-gap analysis - Competitor URL comparison The local term-gap workflow looks for missing commercial, trust, comparison, implementation, security, pricing, feature, audience, and how-it-works language. It does not use ranking data, search volume, paid keyword credits, or third-party SE…