The exact playbook for earning AI citations
A field course for turning crawler access, buyer questions, citable content, original evidence and trusted mentions into measurable AI visibility. Follow the examples, complete the assignments and run the same operating loop on your own site.
Start the courseAI visibility is not a page tweak. It is a decision journey.
People now ask AI before they ever reach your site. They ask what to buy, who to compare, what risks to avoid and whether a brand is credible. The point of AEO is to show up inside that decision path with pages and sources an answer engine can confidently use.
This academy teaches the work in that order: understand the journey, prove access, choose the right questions, build citable answers, create proof, earn source coverage and measure the result.
Start here: buyers now ask AI first
Understand what changed in the buyer journey, then use CiteTrack to see the prompts, answers, sources and reputation signals shaping those decisions.
Choose the win
Turn “we should do AEO” into a prompt set, competitor set and baseline you can measure.
Make the site retrievable
Prove the right bots can reach the right pages before rewriting a word.
Find the real questions
Move beyond head terms into the sub-queries, personas and constraints an answer engine synthesizes.
Build citable answer assets
Rewrite sections for extraction, add defensible information gain, and make every claim easy to verify.
Create proof competitors lack
Turn customer data, experiments and expert knowledge into original sources answer engines can cite.
Win the source ecosystem
Find the domains shaping AI answers and earn inclusion where the engines already place trust.
Run the 30-day operating loop
Prioritize opportunities, ship controlled changes, and prove whether visibility and business outcomes moved.
Measure the playbook on your own site
CiteTrack AI records the crawls, citations, competitors, reputation changes and revenue that show whether your work moved the result.
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