How to Track Your AEO: Measuring Whether AI Engines Actually Cite You

The short version:

• An AEO check is a snapshot: can AI reach, read, and cite your site today. AEO tracking is the habit that answers the question that actually matters: do the assistants name you, on which questions, and is that going up or down.
• You need tracking because AI answers are volatile. The same question can name different businesses from one session to the next, so a single check is a data point, not a verdict.
• The method is simple and you can start it free: fix a list of your real buyer questions, run them through the major assistants on a schedule from a clean logged-out session, and record whether you appear, where, and who beats you.
• We run exactly this every month as our Toronto AI Citation Tracker, 50 frozen questions across four engines, so we are describing a method we actually operate, not a theory.

If you have already run our AEO checker and fixed the gaps, this is the next move. The checker tells you whether you are eligible to be cited. Tracking tells you whether it is working.

How do I track my AEO?

Pick a fixed set of the questions your customers actually ask, run them through the major AI assistants on a regular schedule, and record whether each answer names you, where you land, and which competitors show up instead. Keep the questions and the method identical every time so the numbers stay comparable. That repeated, frozen measurement is the whole discipline.

The reason it has to be a fixed list is that comparability is the entire value. If you change the questions each month, you cannot tell whether a change in your visibility is real or just a different sample. We freeze our 50 questions for exactly this reason, and we would rather add new questions as a separate set than quietly swap the ones we track.

What is an AEO tracker?

An AEO tracker, sometimes called an AI visibility or AI search monitoring tool, runs a set of prompts through AI engines on a schedule and logs whether your brand is mentioned, whether it is cited with a link, and how often you appear versus competitors. The category has grown quickly, with tools like Otterly, Profound, Peec AI, and others measuring mention rate, citations, and share of voice across ChatGPT, Perplexity, Google AI Mode, and Gemini.

You do not need one to start, and we would not lead with buying software. A spreadsheet and a monthly hour will teach you most of what a tool would, and it forces you to read the actual answers, which is where the useful detail lives. Tools earn their price when you need scale, many prompts across many engines and competitors, or when you want the tracking to run without you remembering to do it.

How do I measure AEO success? What should I track?

Track four things per question, per engine, per month: whether you were named at all, where you appeared in the answer, which competitors were named, and whether the citation carried a link back to you. Roll those up into a simple mention rate and watch the trend, not the single reading. Success is a rising share of your buyer questions that return your name, on the engines your customers actually use.

The metric that matters most is the plainest one: on the questions that lead to money, does the assistant say your name. Everything else is texture. A useful scorecard looks like this:

• Mention rate. The share of your tracked questions that named you this month.
• Engine split. The same rate broken out by assistant, because they disagree more than people expect.
• Share of voice. How often you appear versus the two or three competitors you care about.
• Movement. The change from last month, which is the only number that tells you whether your work is landing.

Does my website need AEO tracking?

If AI search sends, or could send, customers to your category, yes. If your buyers are asking ChatGPT, Perplexity, or Google's AI answers for recommendations in your space, then those answers are a channel whether you measure it or not, and the only question is whether you find out what they say before or after a competitor does. If your category genuinely has no AI-answer demand yet, tracking can wait, but that list is shrinking fast.

The honest test is to run five of your own buyer questions through ChatGPT right now. If it names businesses like yours, you have a channel to track. In our own monthly measurement across Toronto categories, assistants named a specific local business in 97% of answers in August, so for most local and commercial categories the answer to "does this apply to me" is already yes.

Is one AEO check enough, or do AI answers keep changing?

One check is not enough, because AI answers are genuinely volatile. The same question can return different businesses from one session to the next, shift when the model updates, and change based on whether you are signed in. A single result tells you what happened once, not what your customers generally see. That volatility is the reason tracking exists as a discipline rather than a one-time audit.

We see this in our own data every month, which is what keeps us honest about it. One caution we learned the hard way: if you check your visibility on an AI assistant you are signed into, the answer can be shaped by your own account history rather than what a stranger sees. Track from a clean, logged-out session, or an account with no history in your industry, or you will measure your own reflection.

How often should I track it?

Monthly is the right default for most businesses. It is frequent enough to catch real movement and a model update, and slow enough that you are measuring a trend rather than session noise. Weekly is overkill for most local and mid-market companies and mostly measures churn. Quarterly is too slow to react when a category heats up.

There is one nuance worth building in from the start. Because any single run is a snapshot, we sample each question more than once and take the union, so a business that rotates in and out does not get scored as absent on a coin-flip. If you are doing this by hand, running your list twice on different days each month is a cheap way to average out the noise.

Can I track AEO myself, or do I need a tool?

You can absolutely do it yourself, and we recommend starting there. Pick ten of your highest-intent buyer questions, run them through ChatGPT, Perplexity, Google AI Mode, and Claude once a month from a logged-out session, and log the four metrics in a spreadsheet. That single habit will teach you more about your AI visibility than any dashboard, because you are reading the real answers.

Move to a tool when the manual version stops scaling: more questions than you will run by hand, more engines, more competitors, or a need for history you did not start collecting. The order that works is check, fix, then track. Run the AEO checker to fix the structural gaps first, because tracking a site AI cannot read just measures zero every month, then start the monthly log.

What does good look like month over month?

Good is a mention rate that climbs and then holds near the top on the engines your customers use, with your name appearing early in the answer rather than buried. A realistic path is invisible, then named occasionally, then named consistently on your core questions, then named ahead of competitors. You are looking for a trend line that goes up and stays up, not a single perfect month.

Two months is a direction, not a verdict, so resist reading too much into your first comparison. In our own tracker, one engine jumped eighteen points in a single month, and we deliberately refused to call it a trend until we had more readings. Hold yourself to the same standard: measure repeatedly, change one thing at a time, and let the trend, not a lucky session, tell you whether your AEO work is paying off.

Where to start

Do the boring version first. Run the free AEO checker to make sure AI can actually read your site, fix whatever it flags, then pick ten buyer questions and start a monthly log. Watch our Toronto AI Citation Tracker for the citywide trend and the exact method we use, and read how to check your AEO score if you have not run the snapshot yet. The businesses that start tracking early are the ones that notice a category heating up while their competitors are still guessing.

Sources

1. Stratezik Toronto AI Citation Tracker, August 2026: 50 frozen high-intent Toronto and GTA buyer questions across four AI engines (Google AI Mode 100%, ChatGPT 100%, Claude 96%, Perplexity 92%; 97% overall), collected August 8, 2026, using a fixed monthly method with multi-sampling. Available at stratezik.com/blog/toronto-ai-citation-tracker-august-2026.
2. AI visibility and search monitoring tool category (mention rate, citations, and share of voice across ChatGPT, Perplexity, Google AI Mode, and Gemini): Otterly.ai, AI Search Monitoring; LLM Pulse, "Best AI Visibility Tools 2026".
3. Stratezik Toronto Startup Website Audit 2026: 50 funded Toronto and GTA startups on a machine-verified 20-point AEO test. Dataset available on request.

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About Stratezik: Stratezik is a Toronto-based marketing agency that runs on its own AI agent system. We specialise in AEO-first content strategy, founder-led brand building, and full-funnel paid media for startups and local businesses. We publish our data and our tools for free because we would rather earn trust by showing the work.

Contact: dave@stratezik.com

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