Suggested Tags: AI-Ready Metadata for Smarter Summaries
Structured meta tags like data-ai-summary, data-ai-type, or embedded AI summaries are rapidly becoming a cornerstone of LLM visibility. These tags don’t just help you show up — they help AI understand, summarize, and quote you correctly.
This audit helps you identify whether your content includes direct signals to AI systems, and how well your summary-style metadata communicates:
-Who the page is for
-What the value is
-Why it matters
Why This Matters Now:
For the first time in digital history, you can literally write what you want AI to say about you. Search engines rank pages. But AI tools like GPT-4, Bing Chat, Claude, and Perplexity generate answers — and they pull those answers from tags, not just copy.
Tags like data-ai-summary let you “preload” your message into the model’s brain — so it can quote you clearly, rank you intelligently, or prioritize your content for answers.
It’s not SEO. It’s not social. It’s AI-ready structure — and it’s your new edge.
You're no longer at the mercy of crawling, scraping, or hope.
Now, you get to hand AI the exact sentence you want it to reuse.
🏷️ 1. AI Summary Tag Usage
1. Do you currently include any AI-specific meta tags like data-ai-summary or ai-summary?
☐ No — never heard of them
☐ Tried them once, not in use now
☐ Only on a few test pages
☐ Used on high-value or evergreen pages
☐ Used systematically across key content types
2. What type of summary do you currently provide in your metadata?
☐ None
☐ Abstract or vague marketing language
☐ Product- or service-level description
☐ Clear, benefit-focused one-liner
☐ Direct, plain-language summary of audience + value
Do your summary tags speak in your own words or rely on AI guesses?
☐ We leave it up to the engine
☐ Some pages have inferred summaries
☐ Mostly structured, but inconsistent
☐ Most pages “quote” themselves in meta
☐ We write what we want AI to repeat, clearly
2. Content Purpose & Page Intent
4. How clearly do your current tags explain who the page is for?
☐ Not at all — we focus on product names
☐ Some pages imply the audience
☐ Most describe use case but not persona
☐ Pages often specify role or industry
☐ Tags always include “who it’s for” directly
5. Do you explain what the page helps someone do?
☐ Not really
☐ Sometimes in the body, but not metadata
☐ Occasionally in the description tag
☐ Most pages express “what you’ll learn / get”
☐ Every summary includes a specific outcome
6. Are your summaries understandable at a glance by a non-expert?
☐ No — they’re jargon-heavy or vague
☐ Somewhat — depends on the writer
☐ Clear but technical
☐ Most pages are plain-language
☐ Fully clear and beginner-friendly across all summaries
📦 3. Structured Tag Planning
7. If asked to generate data-ai-summary, could you write one for each page?
☐ No — we’d be guessing
☐ Maybe for some blog posts
☐ Yes for a few landing pages
☐ Yes for every main page, but not automated
☐ Yes — we use tools or frameworks to generate them consistently
8. Do your summary tags match your tone and site purpose?
☐ No — they sound robotic or over-optimized
☐ Somewhat — but tone is inconsistent
☐ Mostly — but lacks brand voice
☐ Yes — clear, concise, and branded
☐ Yes — and we test them for clarity in LLMs
9. Are your tags consistent across templates, blog posts, and product pages?
☐ Not at all — case-by-case
☐ Only product or core pages use them
☐ Inconsistent across formats
☐ Mostly consistent with gaps
☐ Fully systematized across page types
🔍 4. Preview Testing & AI Retrieval
10. Have you tested how GPT/Claude summarizes your page as-is?
☐ No — didn’t know that was possible
☐ Tried once, no results
☐ Some test prompts run occasionally
☐ We review summaries monthly
☐ We A/B prompt-test summary tags across AI tools
11. Do your summary tags help your content appear in LLM responses?
☐ Unsure
☐ Not seeing results
☐ Some mentions in Perplexity/Bing
☐ We’ve seen some use in AI-generated answers
☐ We monitor prompt-triggered visibility actively
12. Do your summaries quote exact sentences from your page?
☐ Not intentionally
☐ A few do
☐ Some pages copy intro lines
☐ Most are 1:1 with body copy
☐ Tags explicitly quote the best lines
13. Have you validated your summary tag structure across tools?
☐ Never checked
☐ Only tested Open Graph
☐ Validated with GPT/Claude copy-paste
☐ Previewed with plugins or manual prompts
☐ Validated through structured test harness
📐5. Quality & Optimization Depth
14. How long are your summary tags on average?
☐ No idea
☐ Usually too long or too short
☐ Most are under 160 characters
☐ We follow SEO guidance
☐ All are optimized for clarity within 110–160 characters
15. Do your summary tags evolve as your messaging changes?
☐ No — set and forget
☐ Rarely — only after redesigns
☐ Updated during blog refreshes
☐ Reviewed quarterly
☐ Part of our messaging QA process
📄 Footer Note
Print this audit and use it as a launchpad to write or update your AI meta tags. Once completed, generate HTML snippets with clear, structured summaries that teach LLMs what to say about your content — in your own words.
**If you don’t write your summary, AI will — and it may not get it right.**