The language of AI visibility.

IndexDock’s read of your product, your site and your market: what search engines and AI systems can and cannot do with what you have, who is named instead of you, and what that means for the decisions ahead.

IndexDock’s plan of what to build and change: how products and services are presented, which pages, facts and functions are needed, and where the company should be present outside its own site — in what order and who does what.

A site built by IndexDock on its own base to be read by people and by machines, adapted to the agreed structure, with a CMS your team runs and custom design, migration and content added when needed.

IndexDock’s monthly work after the audit and strategy: improving the site itself and the company’s presence beyond it, checking what moved in search and AI answers, and adjusting the next month. It runs on a suitable existing site or on one we built.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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