How it works

A working loop, not a dashboard.

Four stages, one loop: find out whether AI cites you, learn why not, ship the fix, and prove it worked.

The four-stage loop
Stage 1 of 4

Detect

Find out whether the engines cite you at all.

You see what ChatGPT, Gemini, Claude, Perplexity and Copilot say about you, week by week: whether you're mentioned, whether you're cited as a source, and who gets recommended instead. Over time you can tell a real change from a bad day.

Stage 2 of 4

Diagnose

Work out why you were skipped.

Being left out of an answer is rarely a mystery. GEOquoted tells you, page by page, what's holding you back and what a competitor is doing better — in plain findings you can act on, not a generic score.

Stage 3 of 4

Improve

Ship the fix, with the artifact already written.

Every finding becomes a job with the fix already drafted, ready to hand to whoever owns the page. Work is only counted as done once it's live.

Stage 4 of 4

Prove

Show what the work changed.

Every change gets its own before-and-after, so you can show exactly what a piece of work achieved — and share it with stakeholders who never need to log in.

Glossary

The terms, without the jargon.

GEO (Generative Engine Optimisation)
Making your content easy for AI assistants to quote and cite. Related to SEO, but the prize is being named in the answer rather than ranked in a list of links.
AEO (Answer Engine Optimisation)
Similar to GEO, usually emphasising direct question-and-answer formats. In practice the two terms describe the same work.
AI visibility
How often, and how favourably, AI assistants surface your brand when people ask questions in your category. Measured by mentions and citations, not impressions.
llms.txt
A plain-text file at the root of your site that gives AI systems a curated shortlist of your most important pages and what they cover — a readable index rather than a crawl directive.
JSON-LD / schema
Structured data embedded in a page that states plainly what the page is: an article, an FAQ, a product, an organisation. Machines read it directly instead of inferring from layout.
Share of Voice
Across a set of tracked prompts, the proportion of answers that cite you versus the competitors you're measured against. The headline number for AI visibility.
Coming soon

In development.

In development

MCP server support

An MCP (Model Context Protocol) server so AI tools and assistants your team already uses can query your GEOquoted data directly — Share of Voice, open jobs, audit findings — without copy-paste.

In development

Software integrations

Two-way sync with ticketing and project tools, so a GEOquoted job can become a ticket in your existing workflow and close out on both sides when it ships.