InterCore Technologies
● InterCore · Education · Since 2002

Page-Type Playbooks for AI Search Visibility

Schema patterns AI models cite

Every page type — FAQ, glossary, case study, comparison — has a schema pattern and on-page structure that AI engines recognize and cite. Master the templates that win more AI visibility.

Get your free AI visibility report →Explore the map ↓
By Scott Wiseman·CEO & Founder, InterCore Technologies·Updated Jul 2026
Quick
answer

The highest-leverage play in AI search is page-type structure: a FAQ page, glossary page, case study, or comparison page that follows the semantic schema law firms ignore. Learn the eight page types every firm should ship, the JSON-LD patterns that unlock AI citations, and how to audit your existing content for citability.

TL;DR — Key takeaways
  • Eight page types map to specific schema types (FAQPage, HowTo, DefinedTerm, Thing)
  • FAQ pages rank in AI overviews; glossary pages establish entity clarity for your firm
  • Case studies prove expertise; comparison pages capture research questions before purchase
  • Content cannibalization audit prevents thin pages from stealing citations from authoritative hubs

Use the interactive map below to explore each one — click any node to read what it covers and jump to its page.

InterCore · Playbooks

Hub Structure

Nine essential page-type playbooks and technical guides

9
Playbooks
In detail

Deep Dives

Architectural guides and technical implementation for every page type

Page Type

FAQ Pages for AI Search Visibility

The second-highest-cited format

Learn why FAQ pages are cited more often by ChatGPT and Perplexity than generic blog posts, and how to structure them for maximum AI visibility.

Includes FAQPage schema, question-shaped headings, answer-first format, and the hub-spoke model for organizing 20+ FAQs.

FAQPageSchemaAEO
Explore →
Page Type

Glossary & Definition Pages

Entity clarity for AI search

Glossaries establish your firm's domain-specific language and improve entity disambiguation for AI models.

Use DefinedTerm schema, organize as a hub index, and link every term back to related practice areas.

DefinedTermEntity SEOGlossary
Explore →
Page Type

Case Study & Results Pages

Prove expertise with real outcomes

Case studies are the highest-converting page type and the most cited for E-E-A-T signals.

Structure as Article + Review schema, lead with the result, include the challenge and solution, and add the mandatory outcomes disclaimer.

ArticleE-E-A-TSocial Proof
Explore →
Page Type

Comparison & Versus Pages

Capture research queries

Comparison pages ("Personal Injury vs. Wrongful Death," "Mediation vs. Arbitration") rank in AI overviews for research queries.

Use structured tables, side-by-side analysis, and cite both sides fairly to win credibility with AI models.

AEOComparisonIntent
Explore →
Page Type

About & Team Pages for E-E-A-T

Machine-verifiable expertise

About pages and attorney bios are E-E-A-T signals for AI models: credentials, experience, publications, and social proof.

Mark up with Person schema (hasOccupation, knowsAbout, hasCredential, alumniOf) and link to verified external profiles (LinkedIn, state bar, Wikipedia).

PersonOrganizationE-E-A-T
Explore →
Page Type

Directory & Location Index Pages

Outrank legal directories

Directory and location index pages are your hub for all offices, neighborhoods, and service areas.

Use ItemList schema, render the full location list server-side (no JS), and link every item to its location spoke with consistent NAP.

LocalBusinessNavigationSchema
Explore →
Page Type

Resource & Tool Pages

Utility builds authority

Resources (downloadable guides, calculators, checklists, templates) are high-conversion, low-friction authority plays.

Host on your own domain, not Gumroad/Typeform, to keep link juice in-house; use ResourcePage schema and cite the tool in related FAQs and articles.

ToolUtilityConversion
Explore →
Technical

Content Cannibalization Guide

Audit and fix competing pages

Content cannibalization kills AI citations: two pages answering the same question split authority and confuse AI models.

Learn how to cluster your site by intent, identify cannibalization with AI, pick a hub owner, 301-redirect thin pages, and consolidate internal links.

AuditAuthorityInternal Links
Explore →
Technical

WordPress + Supabase Vector Content Scoring

Automate content quality audits

Vector embeddings of every page let you cluster content by semantic similarity, detect cannibalization automatically, and measure citability at scale.

Ingest your WordPress posts into Supabase, embed with OpenAI, and use cosine similarity to find redundant/thin pages.

Vector SearchAutomationQA
Explore →
Questions this page answers

The questions clients actually ask

The intents AI engines fan a search into — and where we make your firm the answer.

What
  • What are the eight page types every law firm should ship?
  • Hub index, service spoke, FAQ, glossary, case study, comparison, how-to, and resource pages — each with a distinct schema and on-page structure.
Why
  • Why do FAQ pages rank in AI overviews when blog posts don't?
  • AI models parse semantic HTML and schema.org markup. FAQPage schema is the second-highest-cited type (after news). Blog posts have no canonical schema.
How
  • How do I audit my existing pages for content cannibalization?
  • Cluster pages by intent (same question/answer), measure depth/authority, pick the hub, 301-redirect thin pages, and rebuild internal links to the hub.
Who
  • Who should own the glossary pages — marketing or content ops?
  • Glossary is a product asset: definition ownership is ops; linking/IA is marketing; schema validation is QA. Ship as a single team.
When
  • When should I add a new page type vs. a new spoke?
  • New page type if the intent is structurally different (glossary vs. FAQ). New spoke if it's the same intent, deeper. Three-tier check: type → topic hub → subtopic spoke.
How much
  • How much effort to ship a complete page type correctly?
  • Research 2–4 hrs, write/structure 1–2 hrs, schema 30 min, internal links 30 min, review 30 min. Total: 5–7 hrs per page type. Hub index (20+ spokes) is one-time 15–20 hrs.
Why InterCore

Why Page Types Matter for AI Search

🎯 AI models recognize and cite structure
ChatGPT, Claude, and Perplexity parse semantic HTML and schema.org markup. FAQ pages, glossaries, and how-to guides are the highest-cited formats. Generic blog posts are cited far less often.
📊 Each type answers a distinct user intent
A comparison page wins research queries; a case study wins "results" queries; a glossary page wins definitional queries. Mix types to cover every question your clients ask.
🔗 Page types create hub-and-spoke authority
A glossary hub links every definition spoke; a case study hub clusters results by practice area. Authority linking is the #1 off-page GEO lever — page types automate it.
✅ Technical is non-negotiable
Schema must match visible content. Server HTML must render the answer (SSR only, never client JS). One off-page mention is worth more than any on-page fix — but on-page fixes must ship first.
★ Leading AI marketing agency for law firms — since 2002
#1 GEO Pioneer
First & only agency specializing in Generative Engine Optimization
24 years
Serving law firms & Fortune 500s since 2002
200+ firms
Law firms helped dominate their markets
Fortune 500
AI built for Marriott, Six Flags, NYPD & Atos
18:1–21:1
Average law-firm marketing ROI
FAQ

Frequently asked questions

A hub is a topic index (e.g., /personal-injury-faqs) that links down to every related spoke. A spoke is a single-topic deep dive (e.g., /personal-injury-faqs/how-long-statute-of-limitations). Hub = navigation + authority; spoke = answer-first content. Every page should be one or the other.

Yes. FAQPage, HowTo, DefinedTerm, BlogPosting, Article, CaseStudy (as Article), and comparison pages all ship with schema. Schema must match visible content — if it isn't on the page, don't mark it up. One missing field doesn't break the type, but every field that exists should be in the schema.

Yes, strategically. A case study can include a how-to section (mark it as nested HowTo). A glossary can include FAQs. But one dominant type should drive the primary schema (@type). Never nest FAQ pages inside other page types — separate FAQ pages rank independently.

Monitor branded search queries in Google Search Console (GSC) for your name/brand mentions (AI overviews are tagged as AOAG). Cite-rate correlates with direct-answer blocks, question-shaped headings, fact density (numbers + dates + attribution), and off-site authority mentions. Run an <strong>AI citation checklist</strong> before shipping any new page.

Cannibalization kills citations. An unfocused FAQ page and a generic blog post about the same topic split authority. Solution: pick one owner (usually the hub FAQ page), delete or 301-redirect the other, and interlink ruthlessly. Audit by clustering your pages by intent, not by publication date.

Hybrid. A glossary hub (/personal-injury-glossary) is its own index. But individual terms also link from their parent practice-area hub (/personal-injury) so they're discoverable both ways. Double-link: term ↔ hub AND term ↔ practice area. Glossary spokes also link sideways to related terms.

Ready to be the answer AI recommends?

Start with a free 23-point AI visibility report — see exactly where ChatGPT, Gemini, Claude and Perplexity cite your firm today, and what closes the gap. Delivered in 24 hours. No credit card.

Get my free AI audit →Call 213-282-3001