01Found
Discovery
Did your product appear when the customer described the category or problem without naming your brand?
AI visibility and recommendation testing
Get found by AI. Give it a reason to choose you.
Being mentioned is only the start. Find out what makes ChatGPT, Claude, Gemini, and Grok recommend your product—or send the customer to a competitor.
Four major AI assistantsFour realistic buying situations
02Clear
Understanding
Did the agent understand what the product does, who it is for, and where it fits?
03Credible
Trust
Which claims, sources, policies, reviews, and gaps shaped confidence in the answer?
04Chosen
Recommendation
Did the product reach the final answer, and which alternative won when it did not?
AEO and GEO
How do AEO and GEO relate to AI recommendations?
Generative engine optimization (GEO) is the work of improving how your product is discovered and represented in AI-generated answers. It includes the pages you publish, the evidence behind your claims, and the other sources an assistant consults before recommending you.
Answer engine optimization (AEO) describes making content useful and discoverable in direct answers. The terms overlap: Ahrefs includes generative assistants in AEO, and Semrush notes that AEO and GEO are often used interchangeably. The useful distinction for a study is what it measures: a mention, a citation, or a recommendation.
The buying decision continues after discovery. An assistant may find your product and still choose a competitor because the use case is unclear, independent evidence is missing, pricing is difficult to interpret, or another product looks better suited to the request.
Agentzia helps with AEO and GEO by testing how AI assistants evaluate your product, showing the evidence behind their recommendations, and identifying specific website improvements. Submit a public page, inspect the responses, revise an unclear explanation or add available evidence, then run a follow-up study.
Learn how to measure AEO outcomes, from mentions and citations to product choice. These studies use representative research workflows; they do not measure every answer engine or guarantee placement in consumer apps.
Start with the guide for your site: GEO for Shopify product pages, GEO for Framer landing pages, or GEO research for Webflow projects.
The customer situations
Test the questions people actually ask.
Each assistant receives the same situations in separate conversations. The prompt stays natural, and the agent decides what to search, read, compare, and recommend.
“I am considering this product. Is it any good?”
Measures existing perception, trust, and purchase hesitation.
“What are the best products in this category?”
Shows whether the brand enters an unprompted shortlist.
“I have this problem. What should I use to solve it?”
Tests whether the product is associated with the job it was built to do.
“Which option would you choose for this situation?”
Reveals the evidence and tradeoffs that determine the final recommendation.
Inside the report
Keep the evidence behind every decision.
Queries and sources
See what the agent searched, which sources entered the answer, and where your product first appeared.
Pages and interpretation
See which pages were reached, what the agent understood, and which claims or gaps shaped trust.
Decision and next change
See the final recommendation, the alternatives considered, and prioritized improvements tied to the evidence.
From the public Duolingo report
8/8 discovery paths found itEvery agent found Duolingo. They still disagreed on whether it was enough for serious learners.
Its brand was unmistakable. Evidence for advanced speaking and writing outcomes shaped the harder decisions.
Read the complete reportImprove a specific product decision
Use Agentzia when you need to understand why an assistant chose, rejected, or missed your product and what could change the next result.
Track market presence
Use recurring monitoring for prompt coverage, mention frequency, citations, regions, and share-of-voice trends.
Measure human behavior
Use product and web analytics to understand the visits, conversions, and customer actions that follow.
Common questions
AEO, GEO, and AI visibility, explained plainly.
What is answer engine optimization (AEO)?
Answer engine optimization is the work of making your content useful and discoverable in systems that give direct answers. For product teams, this includes how an AI assistant describes your product, cites evidence, and recommends it for a particular buyer’s needs.
Are AEO and GEO the same thing?
The terms overlap and are often used interchangeably for visibility in AI-generated answers. AEO can also encompass other direct-answer experiences, while GEO explicitly refers to generative systems. Treat them as overlapping descriptions of the work, then specify the surfaces and outcomes you actually measure.
Is Agentzia an AEO tool?
Agentzia supports AEO and GEO through on-demand product recommendation research. It tests representative ChatGPT, Claude, Gemini, and Grok workflows and preserves the answers and evidence behind proposed website changes. It does not provide continuous visibility monitoring or measure placement in every answer engine, Google AI Overview, or voice assistant.
What is generative engine optimization (GEO)?
Generative engine optimization is the work of improving how a brand, product, or source is discovered and represented in AI-generated answers. For a product page, that means helping an assistant find the relevant facts, understand who the product suits, and support a recommendation with evidence.
How is GEO different from SEO?
SEO helps people find your pages through search engines. GEO focuses on how AI-generated answers use and describe those pages and other sources. Crawlable pages, accurate product details, and useful evidence support both. GEO testing adds a way to examine the resulting AI recommendations.
What does Agentzia’s GEO testing measure?
Agentzia records discovery and recommendation outcomes in selected buying scenarios, along with the responses, sources, and alternatives behind them. These are research observations from representative AI workflows, not a census of customer conversations or a guarantee of placement in consumer AI apps. Use a follow-up study to evaluate a page change; use web analytics to measure actual leads and sales.
What is AI visibility?
AI visibility describes whether an AI assistant can discover and accurately represent a brand or product when answering a relevant question. Useful measurement includes discovery, citations, understanding, consideration, and the final recommendation.
How does Agentzia measure AI visibility?
Agentzia gives representative ChatGPT, Claude, Gemini, and Grok research paths the same realistic customer situations. The report preserves the products they considered, the sources they cited, their reported research path, and the decision each one made.
How is recommendation testing different from AI brand monitoring?
Recommendation testing studies complete buying decisions for a product across matched situations. Brand monitoring tracks mentions, citations, prompt coverage, and share of voice over time. Teams often use the two methods together.
Can Agentzia help improve AI recommendations?
The report identifies missed discovery paths, unclear positioning, trust concerns, stronger competitors, and missing evidence. Teams can improve the relevant pages and rerun the same situations to see which decisions changed.
Which AI assistants can Agentzia test?
Agentzia currently provides representative research paths for ChatGPT, Claude, Gemini, and Grok. Each assistant receives the same buying situations in a separate conversation so their behavior remains comparable.
Your first test is free