How to Evaluate AEO and GEO Tools Using Real AI Answers
Short answer
To evaluate an AEO or GEO tool, test it on real AI answers, not on its dashboard score. Pick the questions your buyers actually ask, collect the full answers and the pages each engine cites, measure visibility, share of voice, sentiment, position and citations, then check the same questions again later to see what changed. Xtrusio is built to run this whole method for you: it asks 7 AI engines your buyers' questions, keeps every full answer and cited page, and shows you when an engine cites the exact page you published. AEO means answer engine optimization and GEO means generative engine optimization. Both mean getting your brand named, recommended and cited in AI answers. The labels say little about what a tool does, so test what it shows you from real answers.

Step 1: Pick the questions your buyers really ask
Start with 10 to 20 questions a buyer types before choosing a product like yours. Mix three kinds:
- Category questions: "What are the best tools for X?"
- Comparison questions: "Is Brand A a good alternative to Brand B?"
- Problem questions: "How do I fix Y without hiring an agency?" Write them the way a buyer would, not the way your marketing team would. Use the same list for every tool you test, so you compare like with like.
Step 2: Collect full answers and cited pages across engines
A score is a summary. You need the evidence behind it. For each question and each engine, the tool should keep:
- the complete answer text, including the sentence that tells the buyer what to do
- every brand the answer names, in order
- every page the answer cites, as a full URL
- the date the answer was collected Cover more than one engine. Each engine decides differently when to search the web, so the same question can produce very different brands and sources from one engine to the next. Xtrusio asks ChatGPT, Claude, Gemini, Perplexity, Grok, Google AI Overviews and Google AI Mode, and keeps every full answer, every brand named and every cited page. It also records the searches ChatGPT, Claude, Gemini and Grok run before they answer, so you can see what the engine was looking for, not only what it ended up saying.
Step 3: Measure the five numbers that matter
Once you have the answers, five measures tell you where you stand. Ask every tool to show each one, broken down by engine and by question.
Metric | What it tells you | How to check it |
|---|---|---|
Visibility | How often your brand appears in answers to your buyer questions | Count the answers that name you, out of all answers collected for those questions |
Share of voice | How much of the conversation you own compared with competitors | Compare how often you are named against each competitor across the same answers |
Sentiment | Whether answers describe you favorably, neutrally or with doubts | Read the sentence that mentions you and note whether it recommends you, hedges or steers elsewhere |
Average position | How early you appear when an answer lists several brands | Note your place in the list in each answer, then average it across answers |
Citations | Which pages the engine trusts enough to link as its source | List every cited URL and check whether any of them are yours |
Xtrusio reports all five, by engine, by topic and by buyer persona, so you can see, for example, that you lead on Perplexity for finance buyers but trail on ChatGPT for IT buyers.
Step 4: Read the answer, not only the score
Numbers hide detail that changes what you should do next. During a demo, open a few saved answers and check three things. Does a mention mean a recommendation? An answer can name your brand and still tell the buyer to choose someone else. A tool that counts that as a win is overstating your position. Sentiment should come from the actual sentence, and you should be able to click through to it. Our guide to mentions, recommendations, rankings and citations explains the difference. Does the answer describe your product correctly? Compare what the engine says you sell with what you actually sell today. Old pricing, a retired feature or a wrong category tells you which pages need fixing. Are the citations really separate sources? Open each cited page and find the passage that supports the claim. Watch for repeats: some answers add a tracking tag, such as utm_source=openai, to the links they cite, so the same page can show up twice. Count each page once. Also note whether a source is your own page or an independent one, since engines tend to trust third-party coverage for recommendations.
Step 5: Check the same question later
AI answers change between runs, between days and between engines. Research on measuring visibility in AI search makes the same point: one snapshot is not enough, and answers need repeated observation over time. So the real test of any tool is what happens after you act. Ask the same question again later and compare:
- Did your visibility, position or sentiment move?
- Did a new source appear in the citations?
- Is that source the exact page you published or placed? That last check matters most. A list of 50 cited websites does not tell you whether the article you paid for is working. Xtrusio counts a page as a win only when an engine's answer to the question it targets cites that exact URL in a later scan. Its Link Strategy view tracks each guest post, PR placement and published piece through to its live URL and shows whether an engine cites the live URL for the question it targets. For more on this, see AI citation tracking tools for exact URLs.
Compare price on the same workload
Plans that look alike can cover very different amounts of work. A prompt is a question you track. An answer is one result for that question on one engine on one occasion. For example, 50 questions across three engines once a day for 30 days is 4,500 answers. Add a second country or more engines and the number grows fast. Before comparing prices, write down the engines, the number of questions, how often they are checked, how long history is kept and what you can export. Then price the work that comes after the data: deciding what to fix, writing the pages, winning outside coverage and checking the result. A tool that only tracks leaves all of that to your team. For a side-by-side on plans and allowances, see our AEO tools cost comparison.
How Xtrusio runs this method for you
Most tools stop at Step 3. Xtrusio is built to carry a finding through to a result.
- It plans from what AI actually searches. For each buyer question, Xtrusio drafts a content plan from the searches the engines ran and the sites they cite, with the right channel for each piece: your blog, LinkedIn, Medium, Reddit, YouTube, guest posts or PR. You approve the plan.
- It writes and checks the work. It writes and scores articles, checks every link before approval, and publishes to your blog where it is connected. It also drafts LinkedIn posts, YouTube scripts, Medium essays and press releases from each article.
- It proves the result on the exact page. A page counts only when an engine cites that URL in a later scan for the question it targets.
- It protects what you already have. Xtrusio connects to Google Search Console and flags pages losing position, demand or freshness, with the reason in plain words. You can start on the free self-serve plan, or use the managed service with a free trial, then tiered plans (details on request).
How will you know a tool works?
Bring 10 real buyer questions to every demo and ask the vendor to:
- Show the full answers and cited pages for each engine, not just a score.
- Open one answer that mentions you and explain whether it actually recommends you.
- Show what you should fix or publish next, and who does it.
- Show how you will see, on the same question, that an engine now cites that exact page. If a vendor can only do the first two, you are buying a tracker. Xtrusio is built around all four.
See how Xtrusio works and start with your own buyer questions.
Frequently asked questions
What is the best way to measure AI visibility?
Track a fixed set of real buyer questions across several AI engines, keep the full answers and cited pages, and measure visibility, share of voice, sentiment, average position and citations. Then ask the same questions again later to see what changed.
What is the difference between a mention and a citation?
A mention is when an answer names your brand. A citation is when the answer links to a page as its source. You can be mentioned without being cited, and an engine can cite your page while recommending a competitor.
Which AI engines should an AEO tool cover?
At least the ones your buyers use. Xtrusio covers ChatGPT, Claude, Gemini, Perplexity, Grok, Google AI Overviews and Google AI Mode, because each engine can name different brands and cite different sources for the same question.
Can any tool guarantee that ChatGPT will cite my page?
No. The engine decides what to cite. What a good tool can do is show you which pages engines trust, help you publish and place content there, and prove when an engine starts citing your exact page.
Topics
- AEO tools
- GEO tools
- AI visibility tool evaluation
- AI answer evidence
Xtrusio
AI visibility research
Xtrusio is the Perception Engine for B2B brands.
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