To track your AI visibility, check regularly whether engines like ChatGPT, Perplexity, Gemini, Google AI Overviews and Claude name your business for the questions your buyers ask. Record which engines mention you, for which queries, and who they cite instead. A free AI visibility checker automates this so you can see progress over time.
The short version: To track your AI visibility, you check, on a regular schedule, whether ChatGPT, Perplexity, Google AI Overviews, Gemini and Claude name your business for the questions your buyers ask, who they name instead, and which sources they pull from. Then you watch those numbers move as you do the work. I check mine monthly. Here is how to do it without it eating your week, and you can run your first check now, free, with my AI visibility tool.
Why you have to track it, not set it and forget it
Here is the thing nobody tells you. AI answers move. The engines update, your competitors publish, a new source gets trusted, and the name in the answer changes. So a single check is a snapshot, not the truth. I learned this watching my own results swing month to month for the same question. If you are not tracking, you are guessing, and guessing is how you slip out of the answer without noticing.
The good news is that tracking is cheap and quick once you set it up. It is the cheapest insurance you can buy on the work you are putting in.
What to track
Do not drown yourself in numbers. Three things matter.
Whether you are named
For each topic you care about, are you in the answer, yes or no, on each engine. That is your headline number.
Who is named instead
The names that come up in your place are your real competitors for AI attention, and they are often not the ones you expected. This list is gold.
Which sources the engines pull from
This is the one most people miss. The engines lean on specific sources for each topic. Tracking which ones tells you exactly where to get featured next. It turns tracking from a scoreboard into a to-do list.
How to track your AI visibility without it taking over
1. Pick your handful of topics. The questions a buyer would ask before choosing someone like you. Five is plenty to start. 2. Run them through an AI visibility checker across all five engines and save the result. 3. Note three things: are you named, who is named instead, what sources came up. 4. Do the work for a month. Fix the foundations, publish, earn a mention or two. 5. Re-check the same topics and compare. Watch the movement.
That is the whole loop. Fifteen minutes a month once it is set up.
How often should you check?
Monthly is the sweet spot for most businesses. Often enough to catch a slip, not so often that you are reacting to noise. If you are in a fast-moving space or actively pushing hard, every two weeks. Daily checking is a waste of your time, the answers do not move that fast.
What I do with the numbers
I am honest with myself about them. If a competitor keeps showing up where I do not, I do not sulk, I go and find out which source is naming them and get myself onto it. Tracking only works if it changes what you do next. A number you look at and ignore is just anxiety with extra steps.
How this fits the bigger picture
Tracking is the feedback loop on the whole job. The work itself is generative engine optimisation, and if you want the full picture start with what generative engine optimisation is. If your tracking shows AI naming everyone but you, read why your business is not showing up in AI.
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FAQ
How do I track my AI visibility? Pick your key topics, run them through an AI visibility checker across the major engines on a regular schedule, and track whether you are named, who is named instead, and which sources the engines use. Start with a free check.
How often should I check my AI visibility? Monthly suits most businesses. Every two weeks if you are pushing hard. Daily is overkill, the answers do not move that fast.
What should I measure? Three things: whether AI names you, who it names instead, and which sources it pulls from. The last one tells you where to get featured next.
Can I track AI visibility for free? Yes. My free checker runs your topics across all five big engines so you can see where you stand and track it over time.
Start here
Run your first AI visibility check, free. If you would rather I track and work it for you, that is what I do.
Keep reading on GEO and AEO
- What is Generative Engine Optimization (GEO)?
- Why isn't my business showing up in AI?
- How to optimise for Google AI Overviews
- Work with me on GEO and AEO
Related reading: How to Get Featured on the Sources AI Trusts and ChatGPT vs Perplexity vs Gemini, Which AI Engines Matter for Your Business.
The "Cited But Wrong" Problem Nobody Warns You About
One pattern I kept running into when auditing my own AI visibility was this: ChatGPT and Perplexity were citing my content, but paraphrasing it inaccurately. A post I wrote in 2022 about email list growth quoted a benchmark of 2.1% average click-through rates for segmented campaigns in a specific B2B software niche. AI tools were surfacing that number stripped of all context, presenting it as a universal email marketing standard. My name, my credibility, wrong takeaway. Tracking whether you are mentioned is only half the job.
To catch this, I added a second layer to my monitoring routine. Once a week I run five to eight test prompts directly in ChatGPT, Perplexity, and Claude that are closely tied to the specific claims, statistics, or frameworks in my highest-traffic posts. I am not just checking if I am cited. I am reading the full response and asking: is the point being made here the point I made? I keep a simple Google Sheet with three columns: the prompt, the AI response, and a verdict of "accurate," "stripped of context," or "inverted meaning." Over three months I found that roughly 30% of citations where my name appeared fell into one of the last two categories.
What reduces this distortion is adding explicit context sentences directly into your original content, written as if you are pre-empting a summarisation tool. Instead of writing "the average CTR was 2.1%," write "in this specific study of 47 B2B SaaS companies between January and June 2022, the segmented list CTR averaged 2.1%, which is not representative of e-commerce or consumer audiences." That extra sentence survives chunking and RAG retrieval far better than a standalone statistic does. I went back and updated the top 12 posts on my site with these framing sentences, and within six weeks the proportion of "accurate" citations in my weekly checks rose from 70% to 89%.
This matters for brand reputation in a way that traditional SEO tracking completely misses. When someone asks an AI about email marketing and receives a misrepresented stat attributed to you, they may never visit your site at all. The damage happens invisibly. Building a "citation accuracy audit" into your AI visibility workflow, even a rough manual one, gives you something most creators and marketers are not yet measuring, which is not just whether AI knows your name but whether it knows what you said.
