Analyse SSR vs CSR rendering, GEO/LLM readiness, SEO signals and above-the-fold metrics.
Users
170
+22 in 30 days
Rating
5.0 / 5
unchanged in 30 days
Ratings
2
0 in 30 days
Store rank
#69K
#58K among extensions
Version
2.0
updated 27 Feb 2026
Users
monthly, 8 months
Latest, 18 Oct 2026:170 usersMove the mouse over the chart for any month
Ratings count
monthly, 8 months
Latest, 18 Oct 2026:2 ratingsMove the mouse over the chart for any month
The Chrome Web Store rounds user counts down to the leading digit, so the user line moves in steps. The ratings count is exact and is the better signal of real adoption.
About SSR vs CSR + GEO Analyser
SSR vs CSR + GEO Analyser is a professional-grade inspection tool for UX designers, SEO specialists, and frontend developers who need to understand exactly how a webpage is rendered — and how visible it is to search engines and AI systems like ChatGPT, Gemini, Perplexity, Copilot, and Claude.
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🟢 RENDER ANALYSIS
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Instantly highlights every element on the page:
• Green = Server-Side Rendered (SSR) — present in the original HTML the server sent
• Red = Client-Side Rendered (CSR) — injected by JavaScript after load
Measures the SSR vs CSR split as a percentage across the full page AND separately for above-the-fold content only — the area that matters most for performance and first impressions.
Automatically detects the frontend framework in use.
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🔍 SEO SIGNAL AUDIT
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Checks whether your most critical SEO elements are present in the server HTML — not just injected by JavaScript where crawlers may miss them:
• Title tag (SSR vs CSR)
• Meta description
• Canonical URL
• H1 tag
• Open Graph tags (og:title, og:description)
• JSON-LD / Structured Data blocks
CSR-injected meta tags and titles are flagged as warnings — a common cause of poor search indexing that's easy to miss without this tool.
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🤖 GEO / LLM READINESS (NEW)
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Generative Engine Optimisation (GEO) is the emerging discipline of making your content readable and citable by AI-powered search engines. This tool audits your page against the signals that matter most to large language models:
• Text-to-HTML ratio — how much clean, extractable content exists vs markup noise
• Heading hierarchy (H1–H6) — structural clarity for LLM parsing
• LLM-friendly schema types: Article, FAQPage, HowTo, Product, Organization, NewsArticle, BreadcrumbList
• FAQPage schema — the highest-value markup for AI answer snippets
• Robots / AI indexing signals — noindex, noai, noimageai detection
• llms.txt — checks for the emerging AI crawler guidance standard
• Publish date signals — LLMs prioritise fresh, dated content
• Author entity markup — E-E-A-T signals for AI trust scoring
A GEO Readiness Score (0–100) summarises your page's overall AI-readiness at a glance.
Per-LLM compatibility breakdown shows whether your page is likely readable by:
✅ Perplexity ✅ ChatGPT Search ✅ Gemini ✅ Copilot ✅ Claude
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📸 FULL-PAGE ANNOTATED SNAPSHOT
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Capture a full-page screenshot with all SSR/CSR highlights already applied — perfect for reports, presentations, and handoffs. The tool automatically scrolls the entire page, re-applies highlights to any lazy-loaded content discovered along the way, and stitches all slices into a single downloadable PNG.
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👥 BUILT FOR THREE TEAMS
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• UX Teams — understand what users see before JavaScript loads; export annotated visuals for design reviews
• SEO Teams — audit crawlability of meta tags, structured data, and headings directly in the browser
• Dev Teams — verify SSR hydration, detect CSR regressions, and identify above-the-fold rendering issues before they ship
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🔒 PRIVACY
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All analysis runs entirely in your browser. No data is sent to any server. No tracking. No account required.