How it works

A working loop, not a dashboard.

GEOquoted runs the same four stages every month: find out whether AI cites you, work out why not, ship the fix, and prove it moved.

Why GEO How to choose a GEO tool
The four-stage loop
Stage 1 of 4

Detect

Find out whether the engines cite you at all.

Every week we run your buyers' real questions through the major AI assistants — ChatGPT, Gemini, Claude, Perplexity and Copilot — and record what came back: whether you were mentioned, whether you were cited as a source, and who was cited instead. Repeated on a schedule, that becomes a trend line rather than a one-off snapshot, which is the only way to tell a real change from a bad day.

Stage 2 of 4

Diagnose

Work out why you were skipped.

Absence from an answer is rarely mysterious. Usually the page has no direct answer near the top, no structured data the engine can parse, no FAQ block matching the question, or a competitor simply covers the topic more completely. Diagnosis compares the pages that did get cited against yours and turns the difference into specific, named findings — not a generic score.

Stage 3 of 4

Improve

Ship the fix, with the artifact already written.

Each finding becomes a job with the change drafted: the JSON-LD block, the FAQ section, the content brief. Jobs move through To do → In progress → Completed and can be assigned to whoever owns the page. When someone marks a job done, GEOquoted fetches the live URL and independently checks the change is actually present before it counts as complete.

Stage 4 of 4

Prove

Show what the work changed.

Every verified fix anchors a before/after window. We compare Share of Voice, citation counts and AI-referred sessions across the period either side of the change, so improvement is attached to a specific action rather than claimed in general. The result is a shareable snapshot a stakeholder can read without needing the tool.

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)
A near-synonym for 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.