Cite-able content architecture
We rebuild your top pages around the answer shape AI surfaces actually pull from: clear claims, sources, definitions, and structured Q&A.
When buyers ask ChatGPT, Perplexity, Gemini, or Claude about your category, your brand should be the answer — and the citation should link back to you. We make that happen on purpose, not by accident.
Not a checklist of deliverables. Things that show up because we work the way we work.
We rebuild your top pages around the answer shape AI surfaces actually pull from: clear claims, sources, definitions, and structured Q&A.
A llms.txt that names your canonical pages, plus JSON-LD schema for Articles, FAQs, HowTos, and Products. Machines stop guessing what your pages mean.
We run prompt-based probes weekly across the four major answer engines and report which queries surface you, where you sit in the citation list, and what moved.
We get you cited by the sources that get cited by the AI: G2, Wikipedia, industry reports, the right Reddit threads. Earned, not bought.
We map the 200 prompts your buyers will actually type, then prioritise the 30 where being the answer changes pipeline. The rest can wait.
Once the engine is running, your team can drive it. We document the playbook so the cadence doesn't die when our retainer ends.
Every engagement varies. The shape stays the same.
Current visibility in ChatGPT, Perplexity, Gemini, Claude. Citation gap analysis. Content + schema teardown. Priority map of prompts that move pipeline.
llms.txt, schema rollout, top-20 pages rebuilt around answer shapes, source authority outreach plan.
Weekly: new answer pages, prompt-coverage tracking, source outreach, citation pickup. Monthly: written report tied to pipeline.
AI surfaces change fast. We re-audit each quarter and re-prioritise the prompts. The playbook evolves with the engines.
A real-shaped excerpt. Names changed. Numbers honest.
engagement aeo.retainer = {
outcome: 'be the cited answer in our category',
surfaces: ['ChatGPT', 'Perplexity', 'Gemini', 'Claude'],
team: ['@maya (lead)', '@dev', '@arjun (writer)'],
cadence: 'monthly · 30-day notice',
output: '4 answer pages/mo · weekly probes · monthly report',
price: '$14,000 / month',
} Saving us both a bad-fit call.
Overlapping but distinct. SEO optimises for ten blue links; AEO optimises for being the cited answer inside a generated response. We do both — together is usually best.
Citation share-of-voice per prompt, qualified pipeline attribution, and (where the engines support it) referral traffic from AI surfaces.
90 days to see real movement in citations. 6 months to see pipeline. Anyone selling you faster is selling you something else.
A 30-minute call. A written discovery doc in a week. Fixed-price SOW by day 10.