How We at SaidTrue Approach AEO Tracking
We build AEO tracking from the position that visibility in AI answers is a distinct form of online presence. SaidTrue gives visibility reports for a website's presence in AI search by asking ChatGPT, Gemini, Perplexity and Claude the questions customers already ask, then showing what was said, what was sourced, and where the truth diverges. That practical focus shapes how we diagnose problems, run scans, and present outcomes to business owners.
Common problems we see are consistent: AI systems misidentify a business or fail to identify it at all; answers rely on stale or incorrect third‑party citations; recommendations omit key services or local details; and different engines produce conflicting portrayals. For local businesses these gaps matter because customers increasingly ask AI who to use and whether a business is reputable.
Our method is stepwise and reproducible. We start with a public free scan that generates a scorecard showing engine-by-engine results and our scoring notes (see “How SaidTrue Scores AI Answers”). We then assemble a broad prompt set that samples the buyer journey rather than a handful of tests—this reduces noise and gives a stable signal over time. Industry guidance recommends longitudinal tracking and a sufficiently large prompt set; for example, LLM Pulse notes weekly cadence as a practical sweet spot and warns that ten prompts are usually insufficient, with many categories needing 50–150 prompts to cover the question space (Best AEO Tools in 2026: 11 Answer Engine Optimization Platforms Compared - LLM Pulse Blog - https://llmpulse.ai/blog/best-aeo-tools/).
After baseline scanning we deliver a visibility report that separates direct citations from indirect inference, flags factual divergences, and identifies which engines name a competitor instead of you. For customers who opt in, we run ongoing monitoring—the site supports monthly AI monitoring and a verified AI profile—so changes are tracked and a public scorecard is kept up to date.
The outcomes clients can reasonably expect are clarity and an operational map: a clear report of where AI mentions the business, the sources behind those mentions, a prioritized list of factual errors or omissions, and an ongoing record of changes in AI representation. We do not promise algorithmic outcomes; we provide the measurement, evidence, and repeatable cadence that organisations need to decide content, citation, or profile fixes and to measure whether those interventions change how AIs describe them.