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In-house backtesting platform

Backtesting Platform

GEO results shouldn't rest on anyone's word. This platform poses real scenario prompts to the mainstream AI engines on a schedule, logging prompt by prompt whether your brand gets named and your content cited.

Book a demo About the managed service
Backtesting platform overview — overall AI visibility score, citation rate and a five-metric radar
The instrument behind the managed service — our in-house backtesting platform: 1,000+ concurrent queries a minute across ChatGPT, Gemini, Claude, Perplexity, DeepSeek and Meta AI, every raw answer collected and quantified into naming rate, citation rate and perception drift.

Step 1 · Setup

Decide how to test

A backtest starts from the questions your customers actually ask. Engines, models, prompt mode and question count are all set here.

Backtest setup — engine and model selection across ChatGPT, Claude, Gemini and Perplexity, standard/grounded/compare modes, up to 40 scenario prompts with PAA-grounded generation
Setting up a backtest: pick engines and models, choose standard / grounded / compare mode, and load up to 40 scenario prompts — AI-generated and PAA-grounded if you like.

Step 2 · Run

The five-stage backtest pipeline

Once submitted, multiple LLMs answer concurrently while the five-stage pipeline runs. This is the live progress view:

Parallel LLM queries — ChatGPT, Gemini, Claude, Perplexity, DeepSeek and Meta AI get the same scenario prompts, answers checked for whether your brand is named; Content quality & sentiment analysis — sentiment, technical and structured-data signals scored together; Authority signals cross-checked against competitor share of voice; Visibility metrics — each engine's answers converge into comparable AI-visibility metrics; Three-axis scoring — final scores consolidated and archived.

Step 3 · Results

Who named you, at a glance

Every raw answer from every engine is collected per prompt and checked for naming and citations — good or bad, it's all on the table.

Cross-engine testing — actual naming results from ChatGPT, Gemini and Perplexity on scenario prompts such as 'managed GEO vendors in Taiwan'
Cross-engine testing: the same scenario prompts posed to different engines, showing which ones actually name you. Third-party brands blurred.

Next step

How do I get access?

The backtesting platform is a VIP feature and the verification instrument behind the managed service — the results in every managed-client report come from here. To see it run on your own brand, book a demo.

Book a demo Run the free check first