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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.

How entries are organised

Built to answer first, then explain.

  1. Plain-language definitions

    Explain the term directly before expanding.

  2. Question-led explanations

    Organise entries around the questions people actually ask.

  3. Connected concepts

    Link related terms so readers can move through the subject coherently.

Reference library

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29 reference entries

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1 entry

7 AEO Experts Shaping AI Search in 2026, and What B2B Teams Should Learn From Them

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

Answer Engine Optimisation Featured
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A

13 entries

AEO Strategy: Build, Measure and Improve AI Search Performance

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.

Also known as: AEO strategy, answer engine optimisation strategy, answer engine optimization strategy, GEO strategy, generative engine optimisation strategy, generative engine optimization strategy, GEO workflow, generative engine optimization workflow, AI search optimisation strategy

Answer Engine Optimisation Featured
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AEO vs GEO vs AI Visibility: Which Problem Should You Solve First?

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

Answer Engine Optimisation
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AEO/GEO Software Pricing

AEO/GEO software pricing is the cost of tools and services that monitor, diagnose, and improve how a company appears in AI-generated answers.

Also known as: AI search optimisation pricing, AEO software pricing, GEO software pricing

Answer Engine Optimisation Featured
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AI Answer Alignment

AI answer alignment is the process of reducing the gap between company reality, available public evidence and the story AI systems tell buyers.

Also known as: AI answer alignment for companies, company-facing AI answer alignment, AI brand alignment

AI Search Guides Featured
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AI SEO Service: What to Expect and How to Choose a Provider

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

AI Search Guides Featured
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AI Visibility Tools and Generative Engine Optimization Tools: What to Measure Before You Choose

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

Generative Engine Optimisation Featured
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Answer Intelligence for AI Representation: What It Means and How to Apply It

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

AI Search Guides Featured
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B

1 entry

C

4 entries

Citation Position in AI Answers

Citation position describes the observable placement of a source in an AI answer.

Also known as: citation position, AI citation position, citation rank in AI answers, AI citation rank

AI Search Guides Featured
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Content Engineering: How to Build Governed, Reusable Content Systems

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

AI Search Guides
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1 entry

H

4 entries

How AI Changes the B2B Buyer Journey

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

AI Search Guides
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How to Build Public Evidence for Claims AI Systems Miss

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

AI Search Guides
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How to Diagnose Missing Proof 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

AI Search Guides
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P

1 entry

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1 entry

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1 entry

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2 entries

Why AI Platforms Describe Your Company Differently: What to Investigate First

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

AI Search Guides
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