Agency Rank Tracker
Track Google, Local & AI rankings in one dashboard
What it does
Agency Rank Tracker brings Google rankings, Local Pack positions, and AI visibility across ChatGPT, Gemini, Perplexity, and Google AI Overview into one dashboard. Built for SEO agencies and consultants who manage multiple clients and need white-label reports fast.
Track Google rankings, AI visibility, Search Console traffic, and site health. Share automated white-label reports and live links with clients.
Track organic and local Google rankings, Search Console traffic, and AI visibility. Share clear reports with your own branding. Track keyword positions, Search Console traffic, AI mentions, and website health from one dashboard. See positions, ranking pages, search volume, movement, and history for every keyword. Track Google Local Pack positions by city or postal code. New keywords are checked immediately, then every week. Review brand mentions, citations, and complete answers across ChatGPT, Gemini, Perplexity, and Google AI Overview. Find keywords close to page one, missed Search Console queries, and pages that can attract more traffic. Upload your logo and share a white-label live…from agencyranktracker.io
Does the same job
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More growth this month
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AstraPixels▲267A pixel-art solar system at its real current positions.
Growth · 29d ago · astrapixels.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com