Every week we test how AI platforms read, rank and recommend — then publish exactly what moved the needle and what didn't. Real prompts, real data, no vibes.
We placed 40 authentic reviews across forums and review sites, then tracked how AI described the brand before and after.
Testing comparison tables vs narrative vs bullet answers across live ChatGPT ad placements.
A production support agent handles live tickets end to end; we track auto-resolution and escalations.
Mapping how phrasing, intent and specificity shift which brands an AI names in its answer.
Two identical articles, one with rich structured data. We asked AI to answer questions each was written to own.
We published a new authoritative source and polled the same prompt daily until the brand appeared.
Same offer, same budget, run in parallel for 30 days. We compared qualified pipeline, not clicks.
A research agent and an analyst tackle the same brief. We score depth, accuracy and turnaround.
Every experiment follows the same loop, so the findings are repeatable — and so you can run them yourself.
We start with a specific, testable claim about how AI reads or ranks — not a vague theme.
We isolate one variable and run identical prompts across every major AI platform.
We score visibility, citations and share of voice with the same rubric every time, so results compare.
Win or lose, we write it up — method, data and what we’d do next. You can replicate it.