AEOTracker: Multi-Sample LLM Citation Tracking & Testing Suite for SaaS

New pages do not get cited on their own. Models pull from sources other sources already point at, so edits to pages you already have traffic on move faster than anything you publish this month. Pick your ten buyer questions, run them once a month, log whether your product gets named. Everything else is guessing.

AEO isn't really a separate playbook, it's citability inside content you're already making. the LLMs pull passages that answer a question in the first paragraph with a number and a date attached, same page structure that ranks on google but graded harder on specificity. "optimize your posts" gets ignored, "tiktok videos drop off at second 2" gets quoted because it's a fact someone can check. what moved the needle for me, tracked through GA4 referrers on my own product: chatgpt became the single biggest source of new signups, ahead of google organic and every social channel combined, once articles started answering one exact question per page instead of covering a topic broadly. the product name still has to show up by name at least once, these models won't attribute a mechanism to something they can't name. no secret beyond that: find the exact question people type into a chatbot, answer it in the first two sentences, cite a real number.

i actually ran this, 41 brands, 20 buyer questions, three engines, five samples each. thing i didnt expect is you have to ask the same question more than once. repeated one prompt three times identically and got six different brands across the runs, only two showed up in all three. the own site vs third party source split flipped completely between two of them. so checking once and writing down the result is mostly logging noise. ask five times and track the hit rate instead. also 24 of 100 google ai overview prompts returned nothing at all. worth deciding early whether that counts as a zero or gets excluded, it changes every number you report.