Perplexity Playbook: Citations, Collections, and Sources — A Practical How-To
A step-by-step guide to earning Perplexity citations, organizing Pages/Collections, and consolidating sources for AI search. Includes quotable formatting, schema, internal linking, and workflow tips for AEO/GEO.

AI search is “citation-first.” If your answers are quotable, sourced, and easy to attribute, Perplexity and other engines are far more likely to reference you. This playbook shows exactly how to format content, organize Perplexity Pages/Collections, and consolidate sources—so your site becomes the canonical answer for your topic.
If you want a done-for-you setup of AEO/GEO and technical structure, explore Agenxus AI Search Optimization or contact us.
Format for Quotability
- Answer first: Start each section with a 1–3 sentence “TL;DR” that could stand alone as the quote.
- Add a source immediately: Link to a primary or canonical resource (docs, standards, government, vendor help centers).
- Expand with detail: Provide concise steps, examples, and exceptions that add depth beyond the pull-quote.
- Structure for extraction: Use H2/H3s, short paragraphs, bullets, tables, and
id
anchors so engines can deep-link to the exact passage. - Show freshness: Include “Last updated” and a brief changelog when standards/policies change.
Perplexity Pages & Collections: Source Consolidation
Build a “single source of truth” Page per topic. Include your pillar article, key subpages, data sources, definitions, and FAQs. Keep the Page clean, cite primary references, and link back to your on-site canonical hub (pillar + cluster).
- Pick a topic hub: e.g., “AI search optimization”, “Email deliverability”, “Technical SEO basics”.
- Curate 6–12 references: Official docs and widely trusted sources; avoid thin/duplicative links.
- Publish & maintain: Update the Page when your article or external references change; keep it citation-worthy.
Tip: Cross-link your Perplexity Page from your pillar article and vice versa to reinforce canonicals and discovery signals.
AEO + GEO Workflow
1) Research & Outline
- List questions users actually ask (Who/What/How/When/Why).
- Map to a pillar + cluster (definitions → steps → comparisons → FAQs).
- Assign a primary source per section for immediate citing.
2) Draft for Extraction
- Answer-first, then details. Keep paragraphs tight.
- Use bullets, numbered steps, and comparison tables.
- Add anchor IDs to key claims for precise deep-links.
3) Cite & Mark Up
- Link primary docs near the claim (not just in a footnote).
- Add
Article
andFAQPage
schema. - Stamp “Last updated” and keep a mini changelog.
4) Consolidate Sources
- Create/refresh your Perplexity Page for the topic.
- Link the Page ↔ your on-site pillar and cluster pages.
- Remove duplicate/thin posts; redirect to the best resource.
Technical Setup for AI Search
- Schema: Article for long-form; FAQPage for Q&A sections. Ensure schema matches on-page content.
- Information architecture: Pillar → cluster pages; breadcrumbs; consistent internal links; short, stable URLs.
- Performance: Fast mobile load, minimal JS/CSS, and visible CTAs above the fold.
- Freshness: Regular updates to reflect new docs, features, and policy changes in AI search.
High-Value Keywords to Target
Primary
- perplexity citations
- perplexity sources
- perplexity pages
- answer engine optimization
- generative engine optimization
- ai search optimization
Secondary / Long-tail
- how to get cited in perplexity
- perplexity collections setup
- faqpage schema for ai search
- article schema markup guide
- ai overviews seo strategy
- source consolidation for ai
Reusable Section Pattern
H2: Direct Question (e.g., What is [X]?) TL;DR: 1–3 sentence answer with a source link. Details: 2–3 short paragraphs with steps or bullets. Callouts: Exceptions, edge cases, definitions. Source: Link to the primary doc near the claim (not just at the bottom). Anchors: <h3 id="what-is-x">...</h3> for deep-linking.
Helpful Resources
- Service overview: AI Search Optimization
- Talk to an expert: Contact Agenxus
Authoritative Sources & Docs
- Perplexity: Introducing Perplexity Pages
- Perplexity Help: How Perplexity works
- Google: AI Overviews announcement & FAQPage structured data / Article structured data
- Schema.org: FAQPage / Article
- Google guidance on AI content: AI-generated content & Search