Paul AI GEO Analyzer

Analyzes web pages for Generative Engine Optimization (GEO) with score tracking, trend analysis and history - geo.mauch.rocks

Paul AI GEO Analyzer 4.0 — Optimize Your Content for AI Search and Classic SEO Is your website ready for the age of AI-powered search? As tools like ChatGPT, Perplexity, Google AI Overviews, and other generative engines become the primary way people discover information, your content needs to be structured so AI systems can understand, cite, and surface it effectively — while still nailing the classic on-page SEO fundamentals. Paul AI GEO Analyzer is a privacy-first Chrome extension that instantly analyzes any web page across six dimensions (five GEO + on-page SEO). Get a detailed score, copy-paste fix snippets for every issue, in-page highlighting that marks problems right where they are, a domain dashboard that compares every page you've analyzed, and a polished side-panel UI that stays open while you edit. Built and maintained by the team behind geo.mauch.rocks. --- NEW IN VERSION 4.0 — ANALYZE WHOLE SITES, NOT JUST PAGES - Sitemap Batch Analysis: One click reads the site's sitemap.xml and analyzes up to 10 pages of the domain in the background — with live progress and, at the end, the domain dashboard opening automatically with all results. Still no host permissions: the batch runs entirely through same-origin requests on the site you're already analyzing. - Domain Overview: A dashboard with every analyzed page of the current domain — clickable path, latest score, rating badge, trend arrow, date, and analysis count. Sorted worst-first, so the pages that need work are always on top, with page count and average score in the header. Perfect for working through a whole site or preparing a client review. Entries can be removed per row when a project is done. - Page-Type Detection: The analyzer now recognizes whether a page is a homepage, an article, or a product page — and adjusts its expectations. Homepages are no longer penalized for missing author bylines, publication dates, FAQ sections, or definition sentences; those checks show as "not relevant for this page type" instead of failing. Fewer false alarms, fairer scores. - Internal Linking Check: New Machine Readability sub-check for the paths AI agents and crawlers actually follow — enough internal links, with descriptive anchor texts instead of "click here" (generic anchors are detected in six languages). - Action First: Recommendations now sit directly below the score, and a focus line ("Biggest lever: Machine Readability (1.3/5)") names the one category where improvements pay off most. - Canonical Tag Check: The On-Page SEO category now validates `<link rel="canonical">` — missing canonicals get a ready-to-paste snippet, canonicals pointing to a different URL get a contextual warning. Smart comparison: a canonical that strips tracking parameters counts as correct. - Friendlier Page Switching: If you switch tabs while the panel is open, the extension shows its icon with a clear "click the extension icon to analyze this page" instruction — instead of a technical error message. --- NEW IN VERSION 3.1 — SEE YOUR ISSUES RIGHT ON THE PAGE - In-Page Issue Highlighting: Recommendations that point to visible elements now come with a "Show on page (n)" button. One click outlines the affected elements directly on the page you are analyzing, scrolls to the first one, and attaches a plain-language badge to every marker that explains exactly what is wrong — and what to do: - "This H4 follows an H2 and should be an H3" on heading-hierarchy breaks, plus duplicate H1s (red) - "H1 too short (3 chars, min. 5)" on weak main headings (red) - "Missing alt text" on images — decorative `alt=""` is correctly left alone (amber) - "Paragraph too long (873 chars)" on walls of text that hurt scannability (amber) - "Hard to read (68 LIX)" on overly complex paragraphs, using the same Flesch/LIX formula as the score (amber) - "Factual claim without a source link" on statistics and claims that AI systems can't verify (amber) - A dashed blue marker showing WHERE your key statement belongs when the first paragraphs bury the point — the only marker that flags a place, not a broken element Click again to hide the markers, or jump straight to the next finding. Re-analyzing cleans the page automatically. Badges are localized in all six languages. - Clearer recommendations: Every recommendation is now a self-contained card — text, plain-language tip, and its action buttons grouped unmistakably together. Developer jargon like "No code snippet" has been replaced by actionable tips. - Still permission-free: In-page highlighting runs entirely through the existing click-to-analyze model. No new permissions, no warnings at install or after the update. - Smarter caching: Adding alt texts to images now correctly invalidates the cached result, so your score and markers always reflect the current page. --- HOW IT WORKS 1. Navigate to any web page you want to analyze 2. Click the Paul AI GEO Analyzer icon in your toolbar — the side panel opens and analyzes the active tab automatically 3. Get an instant GEO + SEO score (0–30) with a detailed breakdown across six key categories 4. Follow the prioritized recommendations — copy fix snippets directly from each issue, or click "Show on page" to see the affected elements highlighted right on the page 5. Edit your page, click the icon again to re-analyze, and track your progress with built-in trend comparison 6. Run the sitemap batch analysis to score up to 10 pages of the site at once, then open the domain overview to see which pages need work first --- THE SIX ANALYSIS CATEGORIES Paul AI GEO Analyzer evaluates your content across six critical dimensions. The first five are GEO-focused (how AI systems understand and cite your content); the sixth covers the on-page SEO essentials that complement AI visibility. Content Clarity & Structure (0–5 points) AI systems rely on clear content hierarchy to identify the main topic of a page and extract key information. This category checks: - H1 heading presence and quality (is there exactly one, well-written H1?) - Heading hierarchy (H1 → H2 → H3 without skipping levels) - Scannability (paragraph length, use of subheadings, list usage, content-to-heading ratio) - Readability (Flesch Reading Ease for most languages, LIX for German — flags overly complex sentences) Answerability (0–5 points) Generative engines are designed to answer questions. Content that directly answers common questions is far more likely to be cited: - Direct answers and definitions (does the content contain clear "What is...?" style definitions?) - Lists and enumerations (are key points structured as scannable lists?) - Structured sections (is the content organized into clearly separated thematic blocks?) Multilingual pattern detection (German, English, French, Spanish, Portuguese, Italian) makes it ideal for international content strategies. Trust & Sources (0–5 points) AI systems prioritize content from trustworthy, authoritative sources. Google's E-E-A-T principles apply even more strongly in the AI era: - Author or organization identity (clearly identified via Schema.org, meta tags, or visible DOM elements) - Timeliness (publication or modification date, content freshness) - External quality links (trustworthy references that back up your claims) Machine Readability (0–5 points) Beyond human-readable content, AI crawlers rely on structured data and semantic markup. Arguably the most important technical category for GEO: - Schema.org structured data presence (Article, FAQPage, HowTo, Product, Organization, and more) - Schema.org completeness — required fields per type are validated, so empty markup no longer slips through - Named entity recognition (people, organizations, products clearly identified) - Semantic HTML (proper use of `article`, `main`, `nav`, `section`, `header`, `footer`, `aside`) - Internal linking (enough contextual links, descriptive anchor texts instead of "click here") - llms.txt file (does the site provide one in the root directory to give LLMs context?) - AI crawler access in robots.txt (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, CCBot — are any blocked?) AI Citation Readiness (0–5 points) Being machine-readable is one thing; being actually citable by AI assistants is another. This category evaluates how directly your content can be quoted: - Citable fact statements (concrete numbers, percentages, statistics, "according to"-patterns) - FAQ and Q&A sections (FAQPage schema plus question-answer heading patterns) - Sourced claims (citation patterns, external references backing up statements) - Key information upfront (definition and key facts in the first 150 words) Content that scores high here is much more likely to be quoted verbatim by ChatGPT, Perplexity, and Google AI Overviews. On-Page SEO (0–5 points) Classic search-engine fundamentals — the basics that AI engines also respect: - Page title quality (30–60 characters, present, non-generic) - Meta description quality (120–160 characters, present, useful as a SERP snippet) - Image alt-text coverage (with proper handling of decorative `alt=""`) - Indexability — accidental `noindex` is flagged with the highest priority of any recommendation - Mobile viewport (`width=device-width` for Google's mobile-first index) - Open Graph & Twitter Cards for rich social-media previews - Canonical tag — missing or pointing to a different URL (tracking-parameter-stripping canonicals correctly count as self-referencing) --- SCORING SYSTEM Your total score ranges from 0 to 30, with four rating levels: - Excellent (25–30): Your content is highly optimized for AI discovery and search - Good (19–24): Solid foundation with room for targeted improvements - Needs Improvement (12–18): Significant gaps that limit AI discoverability or search visibility - Critical (0–11): Major structural and technical issues need immediate attention Each category is scored individually (0–5), so you can see exactly where to focus your optimization efforts. --- TOP RECOMMENDATIONS WITH ONE-CLICK FIXES After every analysis, Paul AI GEO Analyzer surfaces the highest-priority improvements based on what is missing from your page. Recommendations are ranked by impact — the most critical issues (an accidental `noindex`, missing Schema.org, missing H1) appear first. For every fixable issue, a "Show snippet" button reveals a ready-to-paste code example (JSON-LD, HTML, llms.txt, robots.txt, meta-tag block) and a "Copy" button drops it into your clipboard. No more guessing what to write — just paste into your CMS or template. And where the issue lives in your content rather than your code, the "Show on page" button takes you straight to it: outlined on the page, explained by a badge, one click away from being fixed. --- SCORE TRACKING & HISTORY Track your optimization progress over time: - Score Badge: After analysis, your GEO+SEO score appears directly on the extension icon as a color-coded badge. - Trend Indicator: When you re-analyze a page, a trend arrow shows whether your score improved or declined (e.g. "↑ +2.3 since 3h ago"). - Analysis History: A chronological list of all past analyses for the current page, with a mini sparkline chart showing the trend visually. Up to 50 analyses are stored per URL. - Smart Caching: If the page hasn't changed, the cached result is shown instantly — no unnecessary re-analysis and no duplicate entries in your history. A refresh button forces a fresh analysis when needed. - Clear History: One-click deletion of all entries for the current URL. - Domain Overview: A dashboard listing every analyzed page of the current domain with score, rating, trend and date — sorted worst-first. Entries are removable per row. --- EXPORT & SHARE - HTML Report: Export any analysis as a standalone, professionally designed HTML page. Opens in a new tab with all scores, criteria, detailed explanations, fix snippets, and top recommendations — perfect for sharing with clients or archiving. - Save as PDF: The report includes a "Save as PDF" button that opens the browser's print dialog. No extra tools needed. --- PRIVACY & SECURITY Paul AI GEO Analyzer is designed with privacy at its core: - 100% local analysis: All processing happens in your browser. - No persistent host permissions: The extension uses Chrome's `activeTab` model — access is granted for one tab at a time, only when you click the toolbar icon. No "Read your data on all websites" warning at install or after updates. - No tracking of your browsing: URLs and page contents never leave your browser — not even hashed. Optional anonymous usage statistics (scores and check results only) help improve the tool; a one-time notice explains this and you can disable it anytime in the panel footer. - No account required: Install and use immediately — no sign-up, no subscription. - Open and transparent: Per analysis the extension makes at most two requests to the site you are analyzing (`llms.txt`, `robots.txt`) plus, unless disabled, one anonymous, URL-free statistics ping. --- WHO IS THIS FOR? - Content creators & copywriters who want to ensure their articles are discoverable and citable by AI search tools - SEO professionals expanding their practice into Generative Engine Optimization while keeping classic on-page SEO covered - Digital marketing agencies who need a quick audit tool for client websites and professional reports to share - Web developers who want to verify Schema.org markup, semantic HTML, indexability, mobile-readiness, and AI-citability best practices in one pass - Business owners who want to understand how AI-ready and search-ready their website is --- WHAT IS GEO? Generative Engine Optimization (GEO) is the practice of optimizing web content so that AI-powered search engines and large language models (LLMs) can effectively understand, reference, and cite it. As more users turn to AI tools for answers instead of traditional search results, GEO is becoming essential for online visibility. Key GEO factors include: - Clear, well-structured content that AI can parse and summarize - Direct answers to common questions in your niche - Trustworthy authorship signals and up-to-date content - Schema.org structured data — complete, not just present - Semantic HTML that helps AI distinguish navigation from main content - Citable facts, FAQ sections, and sourced claims - An llms.txt file that gives AI crawlers explicit context about your site And because AI engines still rely on traditional crawling and indexing signals, classic on-page SEO (titles, meta descriptions, indexability, mobile viewport, alt texts, social cards) matters just as much. Paul AI GEO Analyzer checks all of these factors in seconds. --- SUPPORT & FEEDBACK Paul AI GEO Analyzer is built and maintained by the team behind geo.mauch.rocks. - Website: https://geo.mauch.rocks - Contact: via geo.mauch.rocks We welcome your feedback and feature suggestions. If you find Paul AI GEO Analyzer useful, please leave a rating on the Chrome Web Store — it helps others discover the tool.