Data Sources & Accuracy

Understanding where our data comes from and what to expect when comparing results.

Ranking & SERP Data

All ranking and SERP endpoints (Local Pack, Organic SERP, Maps, Local Finder, AI Overview, AI Mode, Geogrid Scan) use non-personalized Google search. This is the industry standard for SEO tools, but it means results will differ from what you see in your own browser.

Google personalizes results based on:

• Your location history and current GPS position
• Your search history and browsing behavior
• Whether you're signed into a Google account
• Your device type (mobile vs desktop)

Our data strips all of this away to give you a neutral, comparable baseline. This is what you want for tracking rankings over time and comparing against competitors, but users may notice discrepancies if they compare against their own searches.

When to expect differences:

• You searched while physically near the business (GPS bias)
• You've visited the business's website before (history bias)
• You're signed into Google (account personalization)
• You're on mobile and the business has strong mobile signals

Review Data

Review counts and ratings may lag Google's live display by a few hours. Google processes and filters reviews continuously, so the exact count can fluctuate within a small range. Our snapshots are taken at query time.

Review Velocity and Multi-Platform Reviews take 10-30 seconds to process because they aggregate data across sources. This is normal processing time, not an error.

AI Visibility Data

AI visibility results (LLM Mentions, LLM Response, LLM Scraper) are point-in-time snapshots. Large language models change their outputs frequently, even for the same prompt. Two queries minutes apart may produce different answers.

AI Keyword Data (search volume for AI platforms) is based on aggregated query logs and updated periodically, not in real-time.

Geogrid Data

Geogrid scans check rankings from a grid of geographic coordinates around a central point. Each grid point queries Google as if a user were physically at that location. Rankings can change dramatically even a few blocks apart, which is why the geogrid exists.

A 5x5 grid (25 points) gives a general picture. A 7x7 grid (49 points) is the standard. A 9x9 grid (81 points) provides the most detail but costs more credits.

General Notes

• All data is fetched live at query time (not cached from previous runs)
• Sandbox API keys (sk_test_*) return realistic mock data for development and testing
• Response times vary by endpoint complexity: simple SERP queries take 2-6 seconds, composite audits take 15-60 seconds
• If an endpoint returns no results, try using location_search (free) to verify the location format