Forecast traffic, conversions and revenue from the demand you already have. Paste your Search Console export and it builds a click-through curve from your own data, then shows what realistic ranking gains are worth. Add your AI referral numbers for a separate, clearly-labelled projection of that channel.
Search Console (required)
AI referral sessions (optional)
chatgpt.com, perplexity.ai, claude.ai, gemini.google.com, copilot.microsoft.com.month, sessions. Oldest first.Everything runs in your browser. Your traffic and revenue data never leaves this page and nothing is uploaded to us.
Your Search Console Queries export. This is the only input that is required, and it is what the whole organic forecast is built from.
Comma separated. People searching your brand click at a far higher rate than everyone else, so leaving brand queries in badly inflates the curve and overstates the whole forecast. These rows are excluded from the curve and from the opportunity list.
Your conversion numbers. Without these the forecast stops at clicks, which is still useful. With them you get conversions and revenue.
Monthly AI referral sessions from GA4, oldest first, one per line. This produces a separate projection with its own health warnings, never blended into the organic number.
Built from your own export. Nothing left your browser.
Three scenarios applied to the queries already within reach. Impressions are held flat, so this forecasts the value of better click-through at a better position, not of new demand.
Derived from your own data rather than an industry average, because AI Overviews have pushed published curves badly out of date. Positions backed by too little data fall back to a conservative published curve, and are marked so you can see which is which.
Your biggest opportunities, ranked by the clicks available if each query moves up. These are queries you already rank for, so the demand is measured rather than imagined.