Answer Engine Optimization
11 checks · Weight: 7% of overall score
Checks in this category
FAQ sections present
AI answer engines like Perplexity extract FAQ-structured content with higher confidence for direct answers. FAQ sections with clear question headings are the top extraction target for "People Also Ask" results and conversational AI responses.
Why This Matters
FAQ sections with clear question headings are the highest-priority extraction target for AI-generated answers and "People Also Ask" results. Without them, your content misses the most direct path to appearing in AI answer snippets.
How to Fix
Add a "Frequently Asked Questions" section with question-formatted H3 headings, each followed immediately by a concise answer paragraph.
Example
<h2>Frequently Asked Questions</h2>
<h3>What is your return policy?</h3>
<p>We offer a 30-day money-back guarantee on all products.</p>
<h3>How long does shipping take?</h3>
<p>Standard shipping takes 3-5 business days within the US.</p>Question-formatted headings
AI answer engines directly match user questions to heading text. Question-formatted headings (ending with "?") are the primary signal AI systems use to identify which section answers a specific query.
Why This Matters
AI answer engines directly match user questions to heading text. Question-formatted headings are the primary signal for identifying which section answers a specific query. Without them, agents must guess which section is relevant, reducing your content's match rate.
How to Fix
Reformat H2/H3 headings as questions that end with "?" to match the natural language patterns users ask AI agents. Follow each question heading immediately with a direct answer paragraph.
Example
<h2>What is unified content preparation?</h2>
<p>Unified content preparation is the process of structuring your site content for consumption by both humans and AI agents.</p>First paragraph answers primary question
AI search engines score the first paragraph highest for extractive QA. Preamble text like "In this article" or "Welcome" wastes this prime position, causing agents to extract low-value content as your page's representative answer.
Why This Matters
AI search engines score the first paragraph highest for extractive QA. Preamble text like "In this article" or "Welcome" wastes this prime position, causing agents to extract low-value filler as your page's representative answer.
How to Fix
Rewrite the first paragraph in <main> as a direct, declarative answer to the page's primary question. Remove preamble phrases like "In this article", "Welcome", or rhetorical questions.
Example
<main>
<p>Unified content preparation optimizes your site for AI agents by structuring content with semantic HTML, JSON-LD, and machine-readable metadata.</p>
</main>Direct definitions for key terms
AI engines extract term-definition pairs to generate direct-answer snippets for "what is X?" queries. Use <dfn>, <dl>, or bold-colon patterns to mark up key terms.
Why This Matters
AI engines extract term-definition pairs to generate direct-answer snippets for "what is X?" queries. Without explicit definition markup, agents must infer definitions from surrounding text, reducing your chances of being selected as a direct answer.
How to Fix
Use <dfn>, <dl>/<dt>/<dd>, or bold-colon patterns ("<strong>Term:</strong> definition") to mark up key terms and their definitions throughout your content.
Example
<dl>
<dt><dfn>Unified Content Preparation</dfn></dt>
<dd>The process of structuring site content for consumption by both humans and AI agents.</dd>
</dl>Comparison tables present
AI answer engines extract structured table data to generate comparison answers. Add HTML tables to your content where appropriate.
Why This Matters
AI answer engines extract structured table data to generate comparison answers for queries like "What is the difference between X and Y?" Without HTML tables, your comparison content is harder for agents to parse and less likely to appear as a structured answer.
How to Fix
Add HTML <table> elements with proper <thead> and <th> headers for any comparative content on your pages. Ensure each column has a descriptive header.
Example
<table>
<thead>
<tr><th>Feature</th><th>Plan A</th><th>Plan B</th></tr>
</thead>
<tbody>
<tr><td>Price</td><td>$10/mo</td><td>$20/mo</td></tr>
<tr><td>Storage</td><td>10 GB</td><td>50 GB</td></tr>
</tbody>
</table>Numbered steps for processes
AI engines extract <ol> lists for "how to" answer snippets. Use ordered lists for step-by-step content to improve your visibility in procedural AI-generated answers.
Why This Matters
AI answer engines extract <ol> ordered lists for "how to" answer snippets, preserving step order in generated responses. Processes described in paragraph form are harder for agents to parse and less likely to appear as structured step-by-step answers.
How to Fix
Convert any step-by-step or procedural content from paragraphs to <ol> ordered lists. Each <li> should describe one clear step.
Example
<h2>How to Get Started</h2>
<ol>
<li>Create an account at yoursite.com/signup</li>
<li>Configure your API key in the dashboard</li>
<li>Make your first API call using the quickstart guide</li>
</ol>Specific numbers and data points
AI engines prefer answers with concrete data points over vague statements. Include specific numbers, percentages, and metrics in your content.
Why This Matters
AI answer engines strongly prefer content with concrete data points over vague claims. Pages with specific numbers, percentages, and metrics are ranked higher for data-driven queries because agents can cite exact figures in generated answers.
How to Fix
Add specific numbers, percentages, dollar amounts, and measurable metrics throughout your content. Replace vague claims ("significant improvement") with concrete data ("65% improvement").
Example
<p>Our platform processes 50,000 requests per second with 99.9% uptime, reducing average response time by 65% compared to alternatives.</p>Dates on content pages
AI engines use dates to assess content freshness. Undated content is deprioritized in AI answers because agents cannot verify its recency.
Why This Matters
AI answer engines use publication dates to assess content freshness for recency-weighted ranking. Undated content is deprioritized because agents cannot verify whether the information is current, especially for queries where timeliness matters.
How to Fix
Add a visible date using the <time> element with a machine-readable datetime attribute on every content page. Place it near the article title or byline.
Example
<p>Published: <time datetime="2025-01-15">January 15, 2025</time></p>Content answers without click-through
AI answer engines skip teaser content that gates answers behind sign-ups or downloads. Provide substantive answers directly on the page.
Why This Matters
AI answer engines skip pages dominated by teaser content ("click to read more", "sign up to access"). These pages provide no extractable answers, so agents will never surface your content in AI-generated responses, costing you visibility in AI search.
How to Fix
Replace gated teasers with substantive, self-contained answers directly on the page. Move lead-generation CTAs to secondary positions after the main content.
Example
<!-- Instead of: "Download our guide to learn more" -->
<h2>How It Works</h2>
<p>Our API supports REST and GraphQL endpoints with OAuth 2.0 authentication, processing up to 50,000 requests per second.</p>Visible "Last updated" indicator
AI engines use freshness signals like "Last updated" dates to rank answers. Content without freshness indicators is deprioritized for time-sensitive queries.
Why This Matters
AI answer engines use "Last updated" indicators as freshness signals when ranking competing answers. Content without freshness indicators is deprioritized for time-sensitive queries, meaning your content may rank below older but dated content from competitors.
How to Fix
Add a visible "Last updated" or "Modified" indicator with a machine-readable <time> element near the top of your content. Update the date whenever you revise the page.
Example
<p>Last updated: <time datetime="2025-01-15">January 15, 2025</time></p>Meta description follows AEO formula
AI engines use meta descriptions as answer candidates. An action/result formula ("Learn how to X to achieve Y") matches more user queries than generic marketing language.
Why This Matters
AI engines use meta descriptions as answer candidates when generating responses. Generic marketing language ("Discover our solutions") provides no specific answer content and gets deprioritized. An action/result formula directly matches the queries AI agents are answering.
How to Fix
Rewrite your meta description using an action/result formula: "Learn how to [action] to [achieve result]." Avoid generic openers like "Welcome to", "Discover", or "Explore".
Example
<meta name="description" content="Learn how to optimize your site for AI engines to increase visibility in answer results and drive qualified traffic.">