TEARDOWN 88 · REVIEWED 2026-08-19
Rankscale
Rankscale tracks how a brand appears across more than a dozen AI platforms — including ChatGPT, Gemini, Perplexity, Claude, and Google's AI Overviews — scoring visibility, citations, and sentiment on a schedule the user sets. It also audits individual pages for the structural signals AI platforms tend to cite.
Rankscale's own pricing page splits the AI engines it tracks into ones it queries through an official developer API (GPT-5, Gemini, Perplexity's Sonar) and ones it reaches by browsing the platform's own consumer interface instead (Google's AI Overviews, Grok, Copilot) — no proprietary data or model on either path.
What you lose building it yourself
- ✕One dashboard checking 17+ AI engines on a schedule instead of scripting and maintaining each one
- ✕Citation source analysis, sentiment scoring, and query fan-out tracking
- ✕Credit-based scheduling (hourly to monthly) across unlimited saved search terms
Why people still pay
A four-engine script matches the shape of Rankscale's own approach, but the subscription is paying for 17+ engines — several accessed by browsing consumer interfaces that change without notice — kept working, scheduled, and rolled into one scored dashboard.
FOUR-ENGINE WEEKEND BUILD
An AI coding tool can call the OpenAI, Google Gemini, and Perplexity Sonar APIs directly for three of Rankscale's tracked engines, and drive an automated browser against Google's AI Overviews for a fourth — the same API-plus-browser split Rankscale's own pricing page describes using across its 17+ engines. Matching all of them, plus the credit-based scheduling and rollover system, is a bigger, ongoing build than a weekend.
StackOpenAI API, Google Gemini API, and Perplexity's Sonar API for the API-based engines · an automated browser tool (e.g. Playwright) to open Google Search and read the AI Overviews panel · a hosted AI model to check each response for a brand mention and citation · a small database or spreadsheet to log results by date and engine.
Build a script that queries the OpenAI, Google Gemini, and Perplexity Sonar APIs directly with a fixed list of 10 brand-relevant prompts and saves each response as text. Separately, use an automated browser tool to search Google for the same 10 prompts and save the AI Overviews panel content when one appears. Send every saved response to a hosted AI model asking whether the brand is mentioned, whether it's cited as a source, and to quote the relevant sentence. Log the date, engine, and result to a CSV file so results can be compared over time.
Similar tools
Free alternative: geo-optimizer-skill (open-source AEO/GEO toolkit) — audits and tracks whether ChatGPT, Perplexity, Gemini, and Google AI Overviews cite a site, for free via command line; it doesn't cover Rankscale's other 13+ engines, sentiment analysis, or credit-scheduled monitoring.
QUESTIONS
Does Rankscale use official APIs or scrape the AI platforms' interfaces?
Both, by its own account: its public credit calculator splits tracked engines into "API engines" (GPT-5, Gemini, Perplexity's Sonar, Mistral) queried through developer APIs, and "GUI engines" (Google's AI Overviews, Grok, Copilot) that it accesses through each platform's own consumer interface instead.
How is usage metered?
Credits — roughly a quarter-credit per engine per prompt query — with unused credits rolling over up to 2-3x the monthly allotment depending on plan.
Is there a genuinely free way to try it?
The Pro plan offers a 7-day free trial with no charge until day 7; the entry-level Essentials tier is advertised from $20/month but its exact feature limits weren't published on the pricing page.