Documentation
AEO and GEO learning center
Answer-engine and generative-engine optimisation, explained in plain language.
1
What is AEO and GEO?
Answer-engine and generative-engine optimisation, defined plainly, with an honest note on the unsettled terms.
2
How AI engines build answers
The two-stage process AI engines use to form an answer, why it matters for your brand, and where each stage creates a lever you can pull.
3
How to get cited by AI engines
The practical content and structural moves that make AI engines more likely to cite your pages and name your brand in answers.
4
Schema and structured data for AI
How structured data on your pages helps AI engines extract precise facts, and which schema types matter most for AI visibility.
5
The llms.txt file
What the llms.txt convention is, what it does and does not do, and how to decide whether publishing one is worth the effort for your brand.
6
AEO for regulated industries
How to make financial, health, and legal content citable by AI while meeting disclosure requirements - the two goals are compatible when the approach is precise.
7
AI search in India
How AI answer engines are being used in India, what is distinct about the Indian market for AI visibility, and the practical actions that matter most here.
8
AEO and SEO: complements, not rivals
How classic search optimisation and AI visibility work relate, where they diverge, and how to manage both without doubling your workload.
9
Comparison pages and listicles
How to earn presence in third-party comparison guides and build honest first-party comparison pages that AI engines actually cite.
10
Reddit, Quora, and review sites
How earned presence on user-generated content platforms shapes AI answers, and the legitimate participation principles that govern this work.
11
Wikipedia, Wikidata, and entity presence
How structured entity records on Wikipedia and Wikidata shape an AI engine's understanding of your brand, and what you can actually do about it.
12
Measuring AEO success
The metrics that tell you whether AI visibility work is moving, how to read mention rate and recommendation rate separately, and how to run before-and-after measurement that proves a change worked.
13
Common AEO mistakes
The patterns that consistently produce no result or negative results in AI visibility work, and what to do instead.
14
Freshness and update cadence
How content age affects AI visibility, which content types decay fastest, and how to set a realistic maintenance cadence for your highest-value pages.
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