AI visibility measurement
Aplo measures how ChatGPT, Claude, Perplexity and Gemini describe your product against your competitors and shows you where their answers came from.
Online Search is turning into a single answer with a short recommendation list. If you are not on that list, you are not in the consideration, and no amount of ranking work will tell you why.
Why your existing tools can't see this
Your page can sit at position one and the Gen AI model can still recommend a competitor first, drawing on a review site you have never audited.
Ask the same question twice and you get two different answers. Without repeated sampling against a fixed question set, you have stories rather than a measurement.
Answer engines reward being the clearest source of specific information. That is why a two-year-old forum thread routinely outranks a well-optimized product page in a synthesized answer.
The four metrics
Four numbers, defined once and used the same way everywhere — so a metric means the same thing on every page, in every report.
How often an engine names your product when buyers ask category questions.
Where you sit in the list when you are mentioned — first, or fifth.
Which domains the answer drew on, and whether your content is among them.
How much the answer changes across repeated samples of the same prompt.
How Aplo works
The reporting is the easy half. What matters is knowing why you lost and whether your fix worked.
A fixed panel of buyer-intent prompts for your category, sampled repeatedly across engines on a schedule, with every response kept.
For every answer that recommended someone else: the sources it drew on, and the information your content is missing relative to them.
A specification of what to publish or restructure. Aplo does not write it for you — that is deliberate.
After you ship, your movement measured against competitors in the same panel over matched windows, with the uncertainty shown.
Who it's for
You need to know which sources feed the answer and how entity authority actually accrues.
You want clean data, change tracking, and eventually an API.
You need to appear in category recommendations without ten years of backlinks.
How we measure
We would rather state the limits up front than have you discover them in a report. This note appears everywhere our numbers do.
Aplo is pre-alpha. The measurement pipeline is being built now, starting with Perplexity, and there is no self-serve product yet. We are working with a small number of early teams while the panel infrastructure comes online. If you want your category prioritized, join the waitlist and tell us what it is.
FAQ
No. Rank tracking tells you where a page sits in a list of links. Answer engines synthesize a single response with a short recommendation list — position one doesn't help you if the model recommends someone else. The inputs that matter are different too: being the clearest source of specific information, not the most linked page.
You can, and you'll get an anecdote. Ask the same question twice and you get two different answers. Measurement means repeated sampling of a fixed question set, on a schedule, with every response kept — that's what turns stories into data you can act on.
No. Aplo specifies what to publish or restructure; writing it is your job. That's deliberate — a measurement tool that also sells the fix has a conflict of interest, and you would never know whether a recommendation was right or just billable.
The panel covers ChatGPT, Perplexity, Claude, and Gemini. The pipeline is being built starting with Perplexity, and each additional engine comes online as its sampling stabilizes — we don't report numbers we can't stand behind.
Aplo is pre-alpha with no self-serve product yet. We're working with a small number of early teams while the panel infrastructure comes online. Join the waitlist and tell us your category — it directly affects what we prioritize.
Join the waitlist and tell us your category, we'll prioritize it as the panel comes online.
