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The language of AI visibility.

Plain definitions of the terms behind SEO, GEO, and AEO — so every word on the rest of the site means exactly one thing.

37 terms

AI Visibility Blueprint

IndexDock

Our strategy package: evidence baseline, new architecture and site map, safe migration and redirect plan, schema roadmap and lead model, and an execution plan with release gates. The plan everything else is built from.

Rebuild

IndexDock

The full implementation stage — not just code: structure, business entities, structured data and answer-ready content, all built straight from the Blueprint and migrated safely.

Index Control

IndexDock

The ongoing stage: your site connects to the IndexDock platform for continuous monitoring and analytics-driven fixes, so visibility stays stable after launch.

Monitor / Managed

IndexDock

The two levels of Index Control. Monitor (from €150/mo) — your team acts on the data. Managed (from €2,700/mo) — we ship the fixes for you.

Screening

IndexDock

A free, two-minute snapshot across eight report sections showing how AI and search read your site today — the no-cost starting point.

Source of Truth

IndexDock

The set of entities and facts your brand should own and be recognised for. Defining it is the strategic core of the Blueprint.

Release gates

IndexDock

Defined checkpoints in delivery where work must pass quality and acceptance criteria before it ships — keeping the rebuild engineering-led and under control.

Trust signals

IndexDock

The proof and credibility markers — schema, consistency, citations, authority — engines weigh when deciding whether to surface and recommend you.

Answer visibility

IndexDock

Whether and how often your business shows up inside AI answers, not just traditional results. What screening measures and Index Control protects.

AI visibility

Core

How easily search engines and AI answer systems can find, understand, cite, and recommend your business. The outcome IndexDock optimises for.

SEO

Core

Getting ranked in traditional search results. The root layer — necessary, but on its own it gets you links, not answers.

GEO

Core

Optimising so generative AI engines surface and reference your business inside the content they create.

AEO

Core

Being the answer AI systems give, not just a link in a list — structured so engines can read, cite, and recommend you.

Answer engine

AI answers

A system that responds to a question with a direct answer rather than a list of links — e.g. ChatGPT, Perplexity, Google AI overviews.

Generative engine

AI answers

An AI model that produces new text in response to a prompt, often pulling from and citing external sources.

LLM

AI answers

The model behind tools like ChatGPT and Claude. It predicts text and can cite sources it was given or retrieved.

RAG

AI answers

When an AI fetches relevant documents before answering. Well-structured pages are more likely to be retrieved and cited.

Citation

AI answers

When an AI answer references your site as a source. The clearest proof your content is trusted and machine-readable.

Hallucination

AI answers

When an AI states something false or invented. Strong structured data and clear facts reduce the chance an engine misreads you.

Structured data

Technical

Machine-readable markup that tells engines what your content means — who you are, what you offer, your FAQs and more.

Schema.org

Technical

The shared vocabulary for structured data (Organization, Service, FAQPage, etc.) understood by search and AI engines.

JSON-LD

Technical

The recommended format for adding Schema.org structured data to a page, embedded as a script block.

Entity

Technical

A distinct thing an engine recognises — your company, a product, a person — that it can link to facts and relationships.

Knowledge graph

Technical

A network of entities and their relationships that engines use to understand and answer questions about the world.

Crawlability

Technical

How easily a bot can reach and read your pages. If it can’t crawl you, it can’t index, cite, or recommend you.

Indexation

Technical

Whether your pages are stored in an engine’s index and therefore eligible to appear in results and answers.

Canonical

Technical

A tag that tells engines which URL is the primary version of a page, preventing duplicate-content confusion.

hreflang

Technical

Markup that tells engines which language and region a page targets — essential for multi-locale sites.

Sitemap

Technical

A file listing your important URLs so engines can discover and crawl them efficiently.

Page model

Structure

The deliberate structure of a page — headings, answer blocks, schema — designed so engines extract meaning cleanly.

Answer block

Structure

A concise, self-contained passage that directly answers a question, formatted so engines can lift it as an answer.

Information architecture

Structure

How a site’s content is organised and linked. Good IA helps both people and engines navigate and understand you.

E-E-A-T

Structure

The trust signals engines weigh when deciding whether to surface and recommend your content.

Share of Answer

Metrics

How often your business appears in AI answers for the questions that matter to you. The AEO equivalent of share of voice.

Technical AI readiness

Metrics

A score for how well your site is built for AI to read and cite it. Ventall moved from 39 to 99 after a rebuild.

Discovery score

Metrics

A screening measure of how findable and understandable your site is to search and AI engines today.

Indexation coverage

Metrics

The share of your important pages that engines have actually indexed and can serve.

See where your site stands.

A free screening turns these terms into a concrete readout for your own site.