Meta Tag Audit: AI Summarization & LLM Visibility
Meta tags no longer just influence SEO — they now determine how AI engines see, summarize, and surface your content in real-time answers. Tools like ChatGPT, Bing Chat, Claude, and Perplexity scan your tags before ever reading the page. If your metadata is missing, messy, or vague, you’re unlikely to be cited or previewed in LLM-generated results.
This diagnostic goes beyond basic "title and description" checks. It assesses how well your metadata works for:
-AI summarization
-Answer engine previews
-Open Graph cards
-Structured page alignment
-Prompt-based retrievability
Why This Audit Matters:
Strong metadata is now your AI elevator pitch. Clear, structured, and value-driven tags make the difference between being surfaced — or skipped entirely.
Instructions
- Be honest — this isn’t a scorecard, but a diagnostic tool.
- Complete it with your SEO or content team.
- Print or save answers to track your improvements over time.
1. Meta Tag Coverage & Consistency
Focus: Presence, uniqueness, and coverage across templates and page types.
1. Do all public-facing pages have a <title> tag?
☐ Not sure — never audited
☐ Missing on many pages
☐ Generic or templated across most pages
☐ Unique for top-level and core pages
☐ All major pages have clean, unique, purpose-driven titles
2. Do all important pages have a <meta name="description"> tag?
☐ No meta descriptions present
☐ Some are autogenerated from content
☐ Some are written, others missing
☐ Most are written with intent in mind
☐ Custom-written for all pages, with user intent and summary value
3. Do your CMS templates ensure consistent title/meta output?
☐ No templating system in place
☐ CMS generates generic fallback titles/descriptions
☐ Title templates are used, but inconsistently applied
☐ Most templates use logic based on page type
☐ Title/meta rules are enforced and editable for all key content types
2. Clarity, Intent, and AI-Friendliness
Focus: Are your meta tags written for human understanding, LLM summarization, and preview clarity?
4. Do your page titles clearly communicate the audience and purpose?
☐ Titles are vague or brand-only
☐ Some titles reference a product or keyword
☐ Most titles hint at a problem or solution
☐ Titles are clear and specific to intent
☐ All major titles include audience + value in under 60 characters
5. Are your meta descriptions structured as AI-friendly summaries?
☐ No — they’re either empty or stuffed with keywords
☐ Some are readable, but many lack clarity
☐ Many are informative but inconsistent
☐ Most are phrased like short, plain-language previews
☐ All are written as human-friendly summaries of the page’s core benefit
6. Do your titles/descriptions answer the question: “Why should someone click or care?”
☐ Not at all — mostly SEO phrases or feature blurbs
☐ Some describe what the page covers
☐ Many explain what the user will learn
☐ Most clarify the why behind the page
☐ All include a clear benefit or takeaway for the intended audience
3. Open Graph & AI-Specific Signals
Focus: Do you control how your content appears in previews across social, search, and LLMs?
7. Do your pages include complete Open Graph meta tags (og:title, og:description, og:image)?
☐ No — we haven’t implemented OG tags
☐ Only on blog posts or a few landing pages
☐ Most pages have og:title and og:description
☐ OG tags are structured and consistent across key pages
☐ All major pages have OG title, description, and a branded preview image
8. Do your Open Graph and meta content differ intentionally from on-page titles?
☐ Not sure — everything is auto-generated or duplicated
☐ OG/meta mostly replicate page H1s
☐ Some OG titles are custom-written
☐ Most are adjusted for preview context (e.g. emphasis, length)
☐ All are purpose-built for feed previews and click-through
9. Do you use LLM-aware tags like data-ai-summary or <meta name="ai-summary">?
☐ Never heard of them
☐ Aware of them, haven’t used
☐ We’ve tested on a few pages
☐ Tags are added to AI-targeted pages
☐ Standardized across all key content — part of our CMS/component system
4. Meta Tag & Content Alignment
Focus: Do your titles and descriptions actually reflect the content on the page — and your structured data?
10. Do your title and description tags match the on-page content?
☐ Not really — often outdated or templated
☐ Sometimes — especially on high-priority pages
☐ Mostly aligned, but not reviewed regularly
☐ Reviewed during final QA for most content
☐ Always aligned and audited post-publish for accuracy
11. Do your meta tags reflect your schema or structured data (e.g. Article, FAQ, Product)?
☐ No schema used
☐ We add schema but don’t coordinate metas
☐ There’s partial overlap between meta and schema
☐ Usually matched — especially for blog posts and landing pages
☐ Always matched and intentionally synced for context and clarity
12. Are your tags updated when the page content changes?
☐ Rarely — tags are “set and forget”
☐ Occasionally, during major updates
☐ Sometimes during refresh cycles
☐ Usually updated by SEO or content teams
☐ Tags are part of the content update workflow and always refreshed
5. Preview Control & Prompt Testing
Focus: Are you actively testing and optimizing how your meta tags appear in AI and social preview environments?
13. Have you tested how your meta tags appear in AI platforms like ChatGPT, Bing Chat, Perplexity, or Claude?
☐ No — didn’t know that was possible
☐ We’ve checked Google or Bing search snippets
☐ We ran a few prompts in ChatGPT or Bing Chat
☐ We review how key pages summarize in AI tools
☐ We regularly test summaries and preview cards using GPT/Bing and adjust accordingly
Q14. Do you write meta tags with the goal of triggering LLM-based retrieval, not just search ranking?
☐ Only optimized for Google/SEO
☐ We loosely consider readability
☐ Some titles and descriptions are LLM-aware
☐ Most are structured to be usable in answers or summaries
☐ Every meta is written with prompt-retrieval, clarity, and AI visibility in mind
Q15. Do you control how your content appears in social and AI-generated previews using Open Graph and fallback meta tags?
☐ No control — previews are autogenerated
☐ We use OG tags on blog pages only
☐ Most pages have basic Open Graph fields
☐ OG tags are standardized and include preview-optimized images
☐ All pages include full OG tags + AI-aware fallbacks (e.g. data-ai-summary, meta previews) for consistent display across platforms