Will AI Summarize Your Page Correctly — Or Ignore It?
Your meta tags are the first thing AI systems see. Before GPT-4, Bing Chat, Claude, or Perplexity read your page, they scan your <title>, <meta>, and Open Graph tags to decide if it's worth showing, citing, or summarizing.
If your tags are vague, missing, or off-message, your content may never be included in LLM answers or previews — even if it ranks in Google.
Request Evaluation
Why Your Meta Tags Matter More Than Ever
Traditional SEO Era
Meta tags helped you rank in search results. They influenced click-through rates and provided context to crawlers. Success meant appearing on page one of Google.
  • Keyword optimization
  • Search engine rankings
  • Human click-through rates
  • Traditional SERP display
AI-First Era
Meta tags now shape how your pages are interpreted, summarized, and shown inside AI-generated answers. Success means being cited and quoted by LLMs across multiple platforms.
  • AI interpretation & citation
  • Summary generation
  • Preview card appearance
  • Multi-platform visibility
This fundamental shift requires a new approach to metadata. Your tags must now serve both human searchers and AI systems that generate answers on the fly.
What This Evaluation Covers
Meta Coverage & Completeness
Verify that all critical meta tags exist across your public-facing pages, from title tags to descriptions.
Clarity, Intent & AI Preview Readiness
Assess whether your tags communicate clear value and purpose in language AI can understand and reuse.
Open Graph & AI-Specific Signals
Review social and AI-oriented tags that control how your content appears in previews and summaries.
Meta–Content Alignment
Ensure your tags accurately reflect actual page content and structured data signals.
Retrievability & Prompt Testing
Test how your pages perform in real AI tools like ChatGPT, Bing Chat, and Perplexity.
Meta Coverage: The Foundation
Title Tag Coverage
Every public-facing page needs a unique <title> tag. This is what shows up in search results, browser tabs, and AI previews.
Meta Description
Your 1-2 sentence pitch that AI tools often quote directly in summaries and preview cards.
Open Graph Tags
Define how content appears when shared or previewed by AI and social platforms.

Critical Reality: Missing or duplicate tags confuse bots and weaken your retrievability. If LLMs can't find a clear title, they're less likely to cite your page or understand the content hierarchy.
Best Practices for Complete Coverage
  • Use one unique title tag per page — avoid generic titles like "Home" or "Page Title"
  • Ensure all major pages have a <meta name="description"> tag under 155 characters
  • Make sure each template populates fields correctly across your site
  • Audit regularly with tools like Screaming Frog, Ahrefs, or site crawlers
  • Test how titles appear in AI-generated answers and snippets
Clarity & Intent: Speaking AI's Language
Communicate Who and What
LLMs and users rely on your title to understand the purpose of a page before they read a word. Vague or branded-only titles don't tell AI systems anything useful. Your titles must communicate both audience and value.
AI doesn't "figure it out" — it scans the title to determine intent and match it to a question or query. The more specific and structured your titles are, the more likely your content is to be cited or summarized.
✅ Clear & Specific
"Expense Automation for Healthcare CFOs"
Immediately communicates audience (Healthcare CFOs) and value (Expense Automation)
🚫 Vague & Generic
"Solutions | Company Name"
Provides no context about who it's for or what problem it solves
Write Meta Descriptions as AI Preview Snippets
Meta descriptions are often quoted verbatim by LLMs like ChatGPT, Bing Chat, and Perplexity. Write in plain language as if explaining the page to a human. Include the outcome or benefit of reading the page, and speak to the user's intent rather than just the brand's features.
"Learn how IT leaders reduce SaaS waste by 30% using automated license management."
— Example of a benefit-driven, AI-friendly meta description
Open Graph & AI-Specific Signals
Open Graph: Not Just for Social Anymore
Open Graph (OG) tags were originally created for social sharing, but today LLMs like Bing Chat, Perplexity, and ChatGPT also use these tags to generate previews, cards, and link summaries. Without OG tags, AI tools and social platforms guess how to preview your content — often resulting in mismatched images, generic headlines, or irrelevant descriptions.
01
Include Complete OG Tags
Add og:title, og:description, and og:image on every major page
02
Make Titles Human-Readable
Write audience-specific titles that work standalone without context
03
Keep Descriptions Outcome-Driven
Short, clear summaries that explain the value proposition
04
Use Branded Images
800×418 recommended — not logos alone, but branded visuals
05
Preview Your Cards
Test using LinkedIn Inspector, Twitter Validator, or Bing tools
Give Bots the Summary You Want Them to Use
AI tools now generate summaries without visiting your page — they pull structured tags from the <head> section. If you provide clear, plain-language summaries using tags like data-ai-summary, you control how your page is described and cited.
Without AI-Specific Tags
LLMs default to whatever's nearby — often meta descriptions or random paragraphs. Your first impression may be incomplete, inaccurate, or uninspiring.
With AI-Specific Tags
You proactively provide structured summaries that LLMs can trust and quote, ensuring accurate representation across AI platforms.

Pro Tip: Write your data-ai-summary like you're answering a prompt — "Who's this for? What does it help with?" Make it a template element so your whole site scales LLM-readiness by default.
Meta-Content Alignment: Don't Bait and Switch
Match Your Tags to Reality
AI models rely on titles and descriptions to understand context before they scan your actual content. If there's a mismatch — like a "Guide" label on a sales page or a vague product name with no clear benefit — your page gets skipped, misunderstood, or misrepresented in AI answers.
Align Schema with Meta
Meta tags and schema (like @type: Article, Product, or FAQ) are two channels that communicate what your content is about. If they don't line up, LLMs and search engines don't know which signal to trust.
Why Alignment Matters
LLMs favor precision and cross-reference your meta tags with your structured data. When these signals align, trust builds and your content is more likely to appear in AI-generated responses. Misalignment results in skipped citations, lower visibility, or worse — inaccurate summaries that misrepresent your brand.
The data shows that alignment dramatically improves your chances of being cited. When meta tags and schema tell the same story, AI systems gain confidence in your content.
1
Review Schema Type
Ask: "Does this match the purpose and promise of the meta description?"
2
Check Title Consistency
Ensure your <title> tag aligns with schema name fields
3
Validate Description Match
Confirm meta description reflects schema description content
4
Test with Validators
Use Google's Rich Results Test or Schema.org validator
Retrievability: From Rank to Recall
Write for Retrieval, Not Just Ranking
Traditional SEO prioritizes ranking in Google's search results. But AI systems like ChatGPT, Claude, Bing Chat, and Perplexity prioritize retrieval — pulling your tag content directly into answers, cards, and summaries.
Your tags need to go beyond keywords. They must clearly communicate who it's for, what it offers, and why it matters — in language designed for reuse by AI systems.
1
Traditional Ranking
Your page appears as a blue link in search results. Success = high position on SERP.
2
AI Retrieval
Your content is extracted and quoted. Success = being cited in AI-generated answers.
3
Preview Generation
Your meta tags become the preview card. Success = accurate representation in summaries.
How to Optimize for Retrieval
Lead with clarity over cleverness
Use straightforward language that can be quoted directly in an answer
Combine persona + problem + promise
Answer "who, what, why" in 1-2 lines of your meta description
Avoid duplicate or vague titles
Every page needs a distinct, descriptive title that stands alone
Write descriptions as answers
Structure your meta like you're responding to a user's question
"If I only read this tag, would I trust and cite this page?"
This is the question AI models ask. Make sure your answer is yes.
Prompt Testing: Verify Your AI Visibility
Test the Mirror: See What AI Actually Does
It's no longer enough to just add meta tags — you need to see how they perform in LLM-driven environments. Tools like Bing Chat, Perplexity, and GPT will often generate a summary, citation, or preview based on your tags. If you haven't tested how they're being interpreted, you're flying blind.
01
Prompt ChatGPT or Claude
Ask: "What is [your page URL] about?" or "Summarize [yourdomain.com/page] in 2 sentences."
02
Use Bing Chat
Paste your URL and see if your summary appears in the generated answer
03
Check Perplexity
Search for your content and observe how it's cited and summarized
04
Compare Results
Match AI responses against your intended meta description
05
Refine Based on Output
Update tags for clarity, brevity, and value based on what AI actually pulls

Testing reveals truth: AI models now generate the search result, not just link to your page. Testing helps you see how clearly your value is conveyed, identify outdated or vague metas, and tune summaries for relevance and retrieval.
What Good AI Output Looks Like
❌ Poor AI Summary
"This page is about solutions for businesses. The company offers various tools and services to help organizations succeed."
Generic, vague, no clear value proposition
✅ Strong AI Summary
"This expense automation platform helps healthcare CFOs reduce manual processing time by 70% and cut SaaS waste by up to 30%."
Specific, benefit-driven, clear audience
Make testing part of your publishing or optimization workflow. The best meta tags aren't just written for SEO crawlers — they're written for AI output windows.
Ready to Optimize Your Meta Tags for AI?
Request a Meta Tag Evaluation
Want to know if your meta tags are helping or hurting AI visibility? Get a comprehensive assessment to see how clearly your content is labeled for ChatGPT, Bing Chat, Claude, and Perplexity. We'll evaluate whether your pages are optimized for AI answers — or being overlooked because of vague or outdated tags.
🎯 AI Summarization Scorecard
See how well your tags perform across major LLM platforms with detailed scoring
🔍 Meta Tag Alignment Review
Comprehensive audit of title, description, OG tags, and schema consistency
✍️ LLM-Specific Rewrite Recommendations
Actionable guidance to optimize your tags for maximum AI retrieval and citation
What You'll Learn
  • Which pages are most vulnerable to AI misrepresentation
  • How your current tags appear in ChatGPT, Bing, and Perplexity results
  • Specific rewrites that improve clarity, retrievability, and citation rates
  • Schema and OG tag gaps that limit your preview quality
  • Priority fixes that deliver the biggest impact on AI visibility
The shift from ranking to retrieval is here. Your meta tags are no longer just metadata — they're your introduction to every AI system deciding whether to cite, quote, or skip your content.
Made with