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How to Optimize Content for Google AI Overviews

The exact templates, formatting patterns and before/after examples that make content AI-extractable, and citation-ready.

13 min read · By the Recometric team

Most content fails AI Overview citation not because it's wrong, but because it's unextractable. The information is there: buried in marketing prose, scattered across paragraphs, missing the structural cues AI systems use to lift answers cleanly. This is the formatting framework that fixes it.

1. The citation-ready section pattern

  1. H2 as the question: phrase it the way users ask. "How much does Invisalign cost in Austin?" not "Pricing".
  2. One-sentence direct answer: 40-80 chars. "Invisalign at Bright Dental costs $3,800-$5,200."
  3. Supporting paragraph: 60-120 words. Specifics, context, qualifiers.
  4. Bulleted list of facts: price, duration, included, excluded, financing.
  5. Optional comparison row: when relevant ("vs traditional braces").

2. Before / after example

Before (zero citation)

"At Bright Dental, we believe everyone deserves a confident smile. Our experienced orthodontic team uses cutting-edge Invisalign technology to deliver beautiful results in a comfortable, modern environment. Whether you're considering treatment for yourself or your teenager, we're here to make the process simple and stress-free."

After (cited within 6 weeks)

How much does Invisalign cost in Austin?

Invisalign at Bright Dental Austin costs $3,800-$5,200, depending on case complexity. Treatment averages 12-18 months. Most PPO plans cover $1,500-$2,000. We offer 0% financing over 24 months and free 3D scan consultations Mon-Fri.

  • Mild cases: $3,800-$4,200, 8-12 months
  • Moderate: $4,200-$4,800, 12-18 months
  • Complex: $4,800-$5,200, 18-24 months
  • Insurance: Most PPO plans cover $1,500-$2,000
  • Financing: 0% over 24 months

3. The FAQ block template

Every commercial page should end with a 5-8 question FAQ block, wrapped in FAQPage schema. Source the questions from:

  • Google "People also ask" for the target query
  • Real customer questions (sales, support, intake forms)
  • Reddit / Quora threads in your category
  • Competitor FAQ sections (don't copy: augment)

4. Semantic hierarchy

AI extraction respects HTML structure. Use it correctly:

  • One H1 per page (the page title)
  • H2 for major sections (each phrased as a question where commercial)
  • H3 for sub-sections inside H2
  • Lists for any enumeration (services, pricing tiers, steps)
  • Tables for comparisons

5. Entity reinforcement inside content

  • Use the canonical brand string consistently: never abbreviate.
  • Name the city / neighborhood explicitly in the intro and at least once per major section.
  • Link out to your About, Locations and key Service pages with descriptive anchor text.

6. Chunking for extraction

AI systems chunk content into ~200-token segments for retrieval. Make every chunk self-contained:

  • Avoid pronouns at the start of sections ("It costs..." vs "Invisalign costs...").
  • Repeat the entity name in each major section.
  • Don't bury the key fact 4 paragraphs into a section: lead with it.

7. Comparison content

Comparison pages punch above their weight in AI Overview citation. Ship them for:

  • Service A vs Service B (Invisalign vs braces, tankless vs tank water heater)
  • Your business vs competitor (handled tactfully and factually)
  • DIY vs professional
  • Tier comparison (basic vs premium service tiers)

8. Content templates

Service page template

  • H1: Service name + city
  • Intro: 1-sentence answer + 60-word supporting paragraph
  • H2: How much does [service] cost in [city]?
  • H2: How long does [service] take?
  • H2: What's included in [service]?
  • H2: How does [service] compare to [alternative]?
  • H2: How to book [service]
  • FAQ block (FAQPage schema)

Location page template

  • H1: [Service] in [neighborhood], [city]
  • Intro: 1-sentence answer + neighborhood-specific paragraph
  • H2: Why [neighborhood] customers choose [business]
  • H2: Services offered in [neighborhood]
  • H2: Hours, parking, access
  • H2: Reviews from [neighborhood] customers
  • FAQ block

9. Optimization checklist

  1. Every commercial page has FAQPage schema
  2. Every H2 on commercial pages is phrased as a question
  3. Every section opens with a one-sentence direct answer
  4. Every page names the city / neighborhood at least 3x
  5. Every page uses the canonical brand string consistently
  6. Every service has its own page (not lumped into a "services" page)
  7. Every page updated within 90 days

10. The compounding effect

Citation-ready content compounds. Each page becomes eligible for more prompts. Each citation reinforces entity authority. Within 90 days of full implementation, most local businesses see citation share 2-4x baseline.

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