AI search, AEO and answer alignment reference library
Plain-language definitions and question-led explanations for the connected concepts shaping AI-mediated discovery and how companies are represented in AI systems.
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Built to answer first, then explain.
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Plain-language definitions
Explain the term directly before expanding.
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Question-led explanations
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Connected concepts
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AEO experts are practitioners who develop, test or explain methods for improving how information is discovered, understood and represented in answer-oriented search experiences.
Also known as: AEO experts, Answer Engine Optimisation experts, Answer Engine Optimization experts, AEO practitioners, AEO experts to follow, AEO and GEO experts
An AEO strategy is an operating plan for improving how a company is represented in relevant AI-mediated answers by connecting baseline monitoring, evidence-led diagnosis, justified improvements and comparable retesting.
AEO vs GEO compares overlapping optimisation terms for improving performance in answer and generative-search environments. AI visibility measures whether a company appears, while AI answer alignment asks whether that representation matches verified company reality and available evidence.
Also known as: AEO vs GEO, GEO vs AEO, AEO vs GEO vs AI visibility, Answer Engine Optimisation vs Generative Engine Optimisation, Answer Engine Optimization vs Generative Engine Optimization
An AI search engine is a search experience that uses AI to interpret a question and can combine that interpretation with information retrieval to produce a synthesised answer.
Also known as: AI search engine, AI search, artificial intelligence search engine, AI-powered search
AI search marketing is the discipline of managing how a company is discovered and represented when AI systems participate in buyer research, alongside established search and marketing channels.
Also known as: AI search marketing, AI search marketing strategy, marketing for AI search, B2B AI search marketing
An AI SEO service is external specialist support for improving a company's performance across AI-mediated search and answer environments alongside relevant conventional SEO work.
Also known as: AI SEO services, AI SEO agency, AI search optimisation service, AEO service, Answer Engine Optimisation service, Generative Engine Optimisation service, LLM SEO service
An AI SEO strategy is a governed plan for deciding where AI should assist, automate, plan or execute SEO work while adapting search strategy and measurement to AI-mediated discovery.
Also known as: AI SEO strategy, AI for SEO strategy, AI-assisted SEO strategy, AI SEO framework, SEO with AI
AI visibility, generative engine optimisation (GEO) and answer engine optimisation (AEO) tools are software platforms that measure how companies appear across AI-generated search and answer environments.
Also known as: AI visibility tools, GEO tools, generative engine optimisation tools, AEO tools, answer engine optimisation tools, AI search monitoring tools, LLM visibility tools
Answer Intelligence is Kojable's diagnostic capability within Diagnose. It analyses observable AI answers, citations, source patterns, competitor framing and evidence gaps to separate what is known from what is inferred and prioritise justified action.
Also known as: Answer Intelligence, AI Answer Intelligence, Answer Intelligence for AI representation
B2B content strategy is the system of decisions governing which information and evidence a company creates, maintains and distributes to help business buyers make progress towards a defined decision.
Also known as: B2B content strategy, B2B content strategy for AI search, AI search content strategy, B2B AI search content strategy
Content engineering is the systems discipline of structuring, modelling, governing and operationalising content so that it can be maintained, validated, reused and published reliably across contexts and channels.
Also known as: content engineering, content engineering framework, content engineering process, content hub, content hub architecture
A content strategy example is a completed, annotated application of a content strategy framework showing how context, constraints, evidence and measurement shape the final decisions.
Also known as: content strategy example, sample content strategy, worked content strategy example, content strategy document example, B2B content strategy example
A ghost citation, in AI-search usage, is a visible citation to a real source where the company or brand associated with that source is not named in the generated answer.
Also known as: ghost citation, ghost citations, AI ghost citation, citation without brand mention, AI citation without company mention, cited but not mentioned
The B2B buyer journey is the sequence of decisions a business buyer makes while researching, comparing, validating and shortlisting companies; AI adds another information environment to that process rather than proving a universal new funnel.
Also known as: B2B buyer journey, AI-mediated B2B buyer journey, B2B AI buyer journey, AI buyer journey
Public evidence for AI answers is current, accessible and appropriately substantiated information that allows a material company claim to be checked in the public information environment, using evidence appropriate to that particular claim.
Also known as: public evidence for AI answers, AI answer evidence remediation, AI evidence building, evidence for wrong AI answers, correcting outdated company information in AI answers
Missing proof in AI answers is a diagnostic condition where a material claim lacks clear, current, and substantiated public evidence in the audited information environment. An omission or citation miss alone does not prove missing proof or explain why an AI system produced the answer.
Also known as: missing proof in AI answers, missing evidence in AI answers, AI answer evidence gap
Topic-level AI visibility measures a company's presence or prominence within a defined subject or buyer-question cluster under an explicit prompt set, platform or surface, eligibility rule, run design and time window.
Also known as: AI visibility by topic, topic visibility measurement, AI topic visibility
AI visibility is the degree to which a company appears and is prominent in relevant AI-generated answers across a defined set of prompts, platforms, runs and time periods.
Also known as: AI visibility, AI search visibility, AI brand visibility, LLM visibility
Cross-platform AI representation divergence is a difference in how AI systems describe, categorise, compare, cite or recommend the same company under comparable buyer questions. It becomes operationally material when the difference could change buyer understanding or conflicts with verified company reality.
Also known as: cross-platform AI representation divergence, AI representation differences across platforms, different AI answers about a company, cross-model company representation differences, AI brand representation differences