Answer Engine Optimization Playbook
Step-by-step framework to earn citations in ChatGPT, Claude, Perplexity, and AI Overviews.
Align your teams on the tasks that make AI assistants cite your brand reliably.
Updated 9/20/2025
TL;DR
Answer engines cite sources that are structured, trustworthy, and fresh. Focus on entity clarity, structured answers, and consistent freshness signals across your product, support, and location content.
1. Audit current visibility
- Run multi-model audits targeting top commercial intents.
- Capture transcripts and screenshot evidence for leadership.
- Map gaps against the entities and intents that matter to revenue.
2. Structure the answers you want cited
- Publish TL;DR blocks with references and timestamps.
- Use FAQPage, HowTo, Product, and SoftwareApplication schema.
- Localize attributes for each priority region.
3. Govern knowledge graph accuracy
- Model people, products, locations, and policies in a first-party graph.
- Sync changes from CRM, PIM, and support systems with approvals.
- Track entity drift and hallucinations with proactive alerts.
4. Measure and iterate
- Monitor citations, mentions, and assisted conversions.
- Attribute wins to structured content updates via analytics connectors.
- Quarterly: refresh prompts, regenerate llms.txt, review workflows.
Pro tip: Treat answer engines like executive stakeholders. Send them verified, structured updates and they'll repeat your story accurately.
Continue exploring AEO playbooks and updates.
October 2025 Platform Release
New prompt library analytics, Slack review workflows, and granular llms.txt diffs.
GEO Visibility Metrics Playbook
Benchmark the signals that prove your generative engine optimization program is working.
Answer Block Governance Checklist
Keep structured answers trustworthy across generative search and copilots.