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These are the instruments we use on paid engagements. Everything runs in your browser — no account, no email wall, and nothing leaves your machine.
Generates the exact prompt set we use for a paid baseline, for your markets and treatments. Copy it, or download a tracking sheet with a row per prompt, engine and run.
This is our method, given away. Running it yourself is tedious, not difficult.
Paste your live robots.txt and see whether GPTBot, ClaudeBot, PerplexityBot, Google-Extended or Bingbot are blocked — including managed rules a CDN may have prepended above your own.
We found this exact problem on our own domain in week one. The origin file was fine; the served file was not.
Work out how many reviews per location per month you need to clear the threshold where engines start naming you, and how long it takes at your current pace.
Review volume and recency are the heaviest-weighted inputs, and the least glamorous work.
A directional model of the revenue not reached each month while engines name someone else. Rough by design — the point is the order of magnitude.
Useful for sizing the problem before anyone spends money on it.
Because the hard part was never knowing what to do. It is doing it consistently across every location, every month, while the signals shift underneath you.
If these tools tell you your score is already strong, you have saved yourself a retainer and we would rather you knew.
Fifty prompts, four engines, your markets. You will see your score and exactly who is being named instead — before you commit to anything.
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