Meta Tag Analyzer
Live-edit every meta tag with pixel-accurate truncation, inline SERP and social previews, AI search visibility checks and a copy-ready fix snippet. No signup.
How this meta tag analyzer works
Paste a URL, click Analyze. The tool fetches the page through my own proxy, parses every tag in the head, and runs about 30 checks across SEO, social cards, indexing, hreflang, schema, AI search visibility and accessibility. Title and description get pixel-accurate truncation verdicts for Google desktop AND mobile separately, because wide letters like W and M cut earlier than narrow letters at the same character count.
The new live-edit mode is the part most other tools don't have. After analysis, the title, meta description, og:title and og:description become editable. Type a fix and the pixel bars plus the inline Google SERP preview update on every keystroke. No round-trip to the server, no waiting. JS-heavy sites (React, Vue, Angular) get a headless browser fallback automatically.
What the verdict numbers mean
Old version showed a 0-100 score. New version shows three honest counts: Critical (something is genuinely broken — missing title, noindex on a page you want indexed, HTTP 4xx/5xx, etc), Warnings (works but suboptimal — truncation, missing og:image, hreflang without x-default), Passing (the check ran and there is nothing to fix). A composite score hides which checks failed. Three counts let you see the shape of the problem at a glance — "2 critical, 5 warnings" means the page has 2 things that block performance and 5 things to polish.
AI search visibility: what it actually checks
The AI Search Visibility section fetches the site's robots.txt and reports the access state of GPTBot (OpenAI training), ClaudeBot (Anthropic training), Claude-SearchBot (Anthropic retrieval), PerplexityBot, GoogleOther and Google-Extended (Google AI training). Many sites block training bots but forget to allow retrieval bots, breaking citations in ChatGPT Search and AI Overviews. The tool also probes for an llms.txt file. Results are informational only — no major AI engine has documented a ranking effect from llms.txt as of April 2026, so it is shown as a presence flag, not a scored factor.
Twitter Card type-aware validation
Most meta tag checkers list whatever twitter: tags exist on the page. The Twitter Cards spec defines four card types (summary, summary_large_image, app, player), and each has different required fields. A summary_large_image card needs twitter:image; a player card needs twitter:player and twitter:player:width plus twitter:player:height; an app card needs twitter:app:id:iphone and twitter:app:id:googleplay. This tool reads the declared twitter:card value and validates the matching required fields, so a "valid" card is actually valid for its declared type.
Meta Tag Analyzer vs. a full site crawler
One page at a time, that is what this tool does. A site crawler (Screaming Frog, Sitebulb, Semrush Site Audit, Ahrefs Site Audit) processes thousands of URLs and reports meta tags, internal links, response codes, schema and rendering behavior across the whole site. They are complementary. Use this analyzer when debugging one page you just changed. Use a crawler when onboarding a new site or shipping a redesign.
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