Find your citation gaps. Get cited.

Score how well AI answer engines can cite your page, and get the paste-ready fixes to close the gap.

2×more likely to appear in LLM answers
Tested across 12 industries
Add to ClaudeAdd to ChatGPT
Citation Gap example report

What it is

Citation Gap is an AI-powered AEO/GEO audit system for SEOs and digital marketing teams. Give it a page, a target query and the competitors already succeeding, and it analyses technical SEO, content quality and answer-engine readiness before returning prioritised, implementation-ready fixes.

Citation Gap, automating AEO/GEO analysis

AEO / GEO AUTOMATION

The audit in practice

Give Citation Gap a page, a target query and successful competitors. It analyses the page, compares it with what is already working, scores the gaps and returns prioritised recommendations with implementation-ready fixes.

Built to automate analysis that would otherwise require an experienced SEO to review manually.

Citation Gap AEO/GEO audit running inside Claude
Also available where SEO teams work
Citation Gap running inside ChatGPT, showing the audit form and executive summary
OpenAI

Citation Gap for ChatGPT

The same engine for teams who work in ChatGPT rather than Claude. Built on the OpenAI API so it drops into an existing custom GPT or an internal assistant, and returns the identical report rather than a second opinion on the same page.

Live now. The same audit and identical report, inside ChatGPT.

Add to ChatGPT →
The Citation Gap web app showing the audit form and executive summary
Web app

Citation Gap on the web

The hosted surface, for when there is no AI assistant in the loop at all. Run an audit straight from the browser, keep every report you have ever run in one place, and send a client or a developer a link to the fix list without handing them a seat.

In development, early access on request.

The Citation Gap Chrome extension auditing a page in a side panel
Browser extension

Citation Gap for Chrome

The audit on whatever page is already open. Yours or a competitor's, one click, no crawl to configure, the same heading, structured-data, direct-answer and citation checks, scored in the tab you are standing in.

In development, early access on request.

Built on evidence, not a static checklist

01

Analyse

Analyse the page across technical SEO, content quality and AEO/GEO readiness

02

Compare

Compare it with successful competitors to identify what is working now

03

Validate

Validate Citation Gap scores against observed visibility in LLM answers

04

Prioritise

Use that evidence to prioritise the changes most associated with stronger visibility

Testing the methodology

Citation Gap scores have been tested against observed visibility in LLM answers. Higher-scoring pages closely correlate with stronger LLM visibility.Observed correlation data
The correlation data feeds back into the ranking methodology, helping Citation Gap prioritise the factors most associated with AEO/GEO success.Evidence-informed scoring

View a sample report

Click on the [Open sample report] button to view a report based on the query "best running shoes for flat feet" for the url "https://runrepeat.com/guides/best-flat-feet-running-shoes" with competitors, showing overall score, technical findings, competitor gaps, recommended fixes and a prioritised action plan.

Open sample report

What you get

  • An overall Citation Gap score out of 100
  • Technical SEO and answer-readiness checks
  • Content opportunity analysis
  • Competitor-by-competitor comparisons
  • Structured-data and entity recommendations
  • A prioritised Action Plan
  • Paste-ready wording, JSON-LD and technical fixes
  • A styled, shareable report with downloadable PDF

Who it is for

  • SEO teams adding AEO/GEO to existing search workflows
  • Agencies auditing client pages for AI search visibility
  • Content teams deciding what to improve and what to prioritise
  • Technical SEOs looking for implementation-ready recommendations
  • Teams that want competitor evidence rather than another generic checklist
John Lawson

About me

Twenty-six years in enterprise digital marketing, working across SEO, technology, teams and large-scale delivery. That experience taught me that the real value is rarely in the tool itself, but in the process behind it: how problems are analysed, priorities are set and outcomes are measured. I now use AI to turn more of those repeatable processes into scalable systems, while keeping strategy and judgement with the people who understand the business.