The pipeline
One pipeline runs the whole job — probe what AI says today, score the gap, ship the optimisation, measure the lift. Automation keeps it fast; review keeps it grounded.
Live buyer-grade questions — recommendation, comparison, trust — asked in your market and your category, then scored for naming and accuracy.
Every answer is scored on visibility, accuracy, structure and authority. One number per engine, one combined index for your brand.
A ranked roadmap of content, structure, citation and on-site moves — reviewed before delivery, so the engines start naming you next.
Thirty days on, the exact same probe runs — and shows, prompt by prompt, where the engines now place your name.
Inside the probe
The probe is how we learn what AI says about you today. We don't ask the engines what we want to hear — we ask them what your buyers type: recommendation, comparison, trust. Then we score whether you're named, and whether the facts are right.
Prompts mirror intent. Comparison, recommendation, troubleshooting, pricing — the questions a real buyer asks before they choose.
Diversity is designed in. Long-tail, branded, unbranded, locale-specific — so one weak slot can't fake a strong score.
Fresh every probe. Engines change their answers often; we refresh the prompt pack on every run.
Inside the re-scan
Engines need time to read the work, re-crawl citations and re-rank answers. Thirty days is long enough to measure, short enough to act on.
Identical prompt pack. The same questions and locales. The delta is honest because the test is the same.
Engine-by-engine breakdown. See exactly where you climbed across every assistant.
The answers, side by side. Before and after on every prompt that matters — so the lift is a paragraph, not just a chart.