How to Fix Content for AI Extraction

AI engines don't read your article like a human — they scan for "quotable atoms": standalone sentences or short paragraphs that answer a specific user question. Walls of beautifully-flowing prose with insights spread across paragraphs lose to clearly-structured content with one-sentence answers. This guide covers the structural patterns that get content lifted into AI responses with your domain cited.

1. TL;DR at the top

<article>
  <h1>How to choose a CRM for a 20-person sales team</h1>
  
  <div class="tldr">
    <p><strong>Quick answer:</strong> For a 20-person sales team, pick 
    HubSpot if you value ease-of-setup, Salesforce if you need customisation, 
    Pipedrive if you need affordability. Average decision time is 4-6 weeks. 
    Expect £30-£150 per user per month.</p>
  </div>
  
  <p>The full analysis below covers ...</p>
</article>

The TL;DR is what AI engines lift first. Make it a complete, citable answer — not a teaser.

2. Query-as-H2 pattern

Phrase headings as the questions users ask, immediate one-sentence answer below:

<h2>What does a CRM cost for a small team?</h2>
<p>A CRM for a 5-25 person team typically costs £30-£150 per user 
   per month. Entry-level options (HubSpot Starter, Pipedrive Essential) 
   start at £15-£30. Mid-tier (HubSpot Pro, Salesforce Essentials) sits 
   at £50-£90. Enterprise tiers exceed £150.</p>
<p>Cost varies by features, contract length, and add-ons. Annual 
   contracts typically save 10-20% vs monthly...</p>

AI engines extract H2 + first paragraph as a question/answer pair. Citation likelihood rises 3-5x vs the same content as flowing prose under a generic heading.

3. Short definitive sentences

Bad: long, hedged sentence

"While there are many factors to consider when evaluating CRM 
software, and your specific requirements will of course vary, 
it's generally considered that for most small to medium-sized 
businesses with sales teams of around 20 people, HubSpot tends 
to be a reasonable starting point that balances ease of use with 
sufficient functionality."

(54 words, 4 hedges)

Good: short, definitive

"For a 20-person sales team, HubSpot is the safest starting choice.
It balances ease of setup with enough functionality for most B2B 
workflows. The trade-off is limited customisation vs Salesforce."

(35 words, 3 clear claims)

AI engines extract the second version cleanly. The first gets paraphrased into something they wouldn't cite back to you.

4. Structured lists and tables

<!-- Walls of prose comparing options is hard to extract -->
<!-- Tables and lists with consistent format are easy -->

<h3>CRM comparison: cost vs features</h3>
<table>
  <thead><tr><th>CRM</th><th>Per user/mo</th><th>Best for</th><th>Weak at</th></tr></thead>
  <tbody>
    <tr><td>HubSpot</td><td>£45</td><td>Ease, marketing integration</td><td>Heavy customisation</td></tr>
    <tr><td>Salesforce</td><td>£75</td><td>Customisation, ecosystem</td><td>Setup complexity</td></tr>
    <tr><td>Pipedrive</td><td>£25</td><td>Simplicity, price</td><td>Limited reporting</td></tr>
  </tbody>
</table>

5. Definition lists for concept content

<h2>CRM terminology</h2>
<dl>
  <dt>Lead routing</dt>
  <dd>The logic that assigns incoming leads to specific salespeople 
      based on territory, product, deal size, or load balancing.</dd>
  
  <dt>Pipeline velocity</dt>
  <dd>The speed at which deals move through stages, measured as 
      (deals × average value × win rate) ÷ average sales cycle.</dd>
</dl>

6. FAQ section with schema

<section>
  <h2>Frequently asked questions</h2>
  
  <details>
    <summary>Can I switch CRMs later?</summary>
    <p>Yes, but expect 3-6 weeks of migration work. Export from old 
       (CSV/API), clean fields, map to new schema, import in batches.</p>
  </details>
  
  <details>
    <summary>How long does CRM setup take?</summary>
    <p>HubSpot: 1-2 weeks for basic. Salesforce: 4-12 weeks with 
       customisation. Pipedrive: 3-5 days.</p>
  </details>
</section>

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "Can I switch CRMs later?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Yes, but expect 3-6 weeks of migration work..."
      }
    }
  ]
}
</script>

7. Avoid extraction killers

• Critical facts only in images (chart, infographic) — extract to HTML too
• Numbers without context: "47%" alone is meaningless; "47% of B2B teams use HubSpot" is extractable
• Pronouns far from referent: "It's the best choice" 3 paragraphs after the subject
• Multi-clause sentences hiding facts: "While X, despite Y, given Z..."
• Hedge piles: "may", "could", "potentially", "in some cases" all in one sentence

8. Test extraction