GeoScaled helps you optimize articles, validate versions with multi-model simulations, and track citation trends after publish using Bing AI import data.
GeoScaled runs inside WordPress: optimize, validate, then monitor real citation movement.
Discover relevant sources with Firecrawl and generate optimized content with better structure, factual density, and citation readiness. You can also compare against your own custom rewrite.
GeoScaled creates realistic user queries for your topic. Keep the generated list, edit it, or add your own high-intent prompts.
Multiple models score and vote on each query so you can publish the strongest version with confidence. After publish, import Bing AI reports to monitor citation trend changes over time.
Compare original, optimized, and custom versions across the same query set to reduce guesswork and choose based on consistent results.
Generate realistic prompts, then edit or expand them so your simulation reflects the intent you actually want to win.
Find and scrape relevant web/PDF sources, then use them during optimization to increase trust signals and information depth.
Run every query across multiple providers and models. Each vote is independent, giving a stronger cross-engine signal than single-model testing.
Apply the selected version back to WordPress with revision safety, so you can move quickly without losing rollback control.
Import Bing AI CSV reports, review timeline and page-level trends, and connect simulation wins to real citation outcomes.
Use your own API keys. Assign different models to optimization, analysis, and simulation tasks for a workflow tailored to your team.
Install the free WordPress plugin. Improve content with evidence before publish, then monitor citation trends after publish.