Resources
Understand the decision.
Know what to change.
AEO and GEO guides with worked examples to understand AI recommendations, improve your product pages and choose the right approach.
For the site you’re working on
Choose what to test, inspect a real finding, and turn it into a page revision in Shopify, Framer, or Webflow.
GEO testing for Shopify
Improve GEO for your Shopify store with AI recommendation testing. Find buying objections, inspect competitor choices, and plan product-page edits. No app needed.
Explore resource ↗GEO testing for Framer
Test GEO and AI visibility for your Framer landing page. Find unclear product claims and missing proof, then use the research to guide your next edit.
Explore resource ↗GEO testing for Webflow
Bring GEO research into your Webflow projects. Test AI recommendations, turn findings into a client revision brief, and evaluate the published changes.
Explore resource ↗Understand AI recommendations
Learn how products get discovered, evaluated and chosen.
AEO and GEO testing: from discovery to recommendation
Understand answer engine and generative engine optimization, and use research to decide which product pages to improve.
Explore resource ↗How AI agent testing works
Explore the buying situations and evidence that reveal what shapes a recommendation.
Explore resource ↗See what AI agents think of your product
Find out whether agents discover, understand and trust your product, and why they choose an alternative.
Explore resource ↗How to measure AEO: mentions, citations, and product recommendations
Separate brand mentions, source citations, trial recommendations, and product choice. Use a real Duolingo study to build an AEO measurement plan.
Explore resource ↗Why does ChatGPT recommend my competitors but not my business?
Work out whether AI missed your business, misunderstood it, could not verify a claim, or found a better fit. Then choose the right page change.
Explore resource ↗Test and improve
Run useful tests and turn the findings into specific page changes.
GEO case study: how AI evaluates Duolingo
Follow the buying questions, recommendations, and evidence behind a proposed page revision.
Explore resource ↗Check whether ChatGPT recommends your product
Test named-product questions and unprompted discovery with a repeatable process.
Explore resource ↗Build, test and improve with your agent
Use your coding agent to inspect findings, change your website and retest through MCP.
Explore resource ↗How to run a GEO audit: a worked example and checklist
A practical GEO and AEO audit for product teams: choose buying questions, inspect AI responses, identify evidence gaps, and write a revision you can retest.
Explore resource ↗GEO before and after: clearer pricing, unchanged selection
We added pricing, research evidence, and setup docs to Agentzia. In two early six-scenario runs, selection stayed at 1 of 6. Here is what the comparison can tell us.
Explore resource ↗How to improve AI product recommendations
Find where the buying decision breaks down, make a specific website change and check whether the next answer addresses the same concern.
Explore resource ↗From an AI concern to a concrete page change
A real Duolingo report finding, an implementation-ready content proposal and the checks needed to evaluate a retest.
Explore resource ↗Compare approaches
Choose the right kind of research for the decision you need to make.
Compare Agentzia and other tools
Explore recommendation testing, visibility monitoring and synthetic conversion research tools.
Explore resource ↗Choosing AEO tools: recommendation testing vs. monitoring
Compare AEO tools by the job you need done: tracking AI mentions over time or investigating why a buyer would choose a competitor.
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