Managed GEO

Managed GEO Service

The free health-check tells you what's wrong. The managed service is us stepping in to fix it — engineering and content, done by us, with a backtesting platform watching whether AI engines actually name you.

  • 12-dimension deep diagnosis
  • Tested on ChatGPT · Claude · Gemini · Perplexity
  • In-house backtesting platform
Backtesting platform overview — overall AI visibility score, citation rate and a five-metric radar
Live view of the backtesting platform: overall AI visibility, citation rate and a five-metric radar.

What we do

What you get

01

Deep diagnosis & hands-on fixes

A 12-dimension deep diagnosis with both engineering and content done by us — structured data, E-E-A-T signals, AI crawler accessibility and content rewrites, fixed end to end rather than handed back as a to-do list.

02

Continuous backtesting

Using our in-house backtesting platform we pose real questions to mainstream engines like ChatGPT, Gemini and Perplexity, measuring whether your brand gets named, your citation rate, and whether perception drifts as models update.

03

Regular reports & strategy tuning

Each cycle you get a report you can actually read — how the score moved, what got fixed, what changed on the engine side, and where we tune next. Strategy moves in step with the engines' algorithms.

The backtesting platform

Inside the backtesting platform

Your brand goes into this in-house platform: the same scenario prompts are posed to each engine on a schedule — naming, citations and perception drift all quantified into numbers you can read.

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.

The five-stage backtest pipeline

  1. Parallel LLM queries — the same scenario prompts go to every engine, checking who names you
  2. Content quality & sentiment analysis
  3. Authority signals cross-checked against competitor share of voice
  4. Visibility metrics — citation rate, retrieval rate, cross-platform consistency
  5. Three-axis scoring and archiving
Scheduled backtest running — parallel LLM queries across a five-stage pipeline
A scheduled backtest in progress: multiple LLMs queried in parallel across a five-stage pipeline.

Free vs managed

Free health-check vs managed service

Free health-check

For teams that want a baseline first, are on a tight budget, and have in-house hands.

  • You enter the URL and run the 12-dimension analysis
  • You read the report and set priorities
  • You do the fixes — the tool stays free

Managed service

Managed, not taught

For brands with no time to watch AI engines, who want someone accountable for the outcome and treat GEO as a long game.

  • Diagnosis — we run the 12-dimension deep scan
  • Fixes — engineering and content, changed by us
  • Backtesting — engines re-tested on a schedule
  • Tuning — adjusted as engine algorithms move
Book a demo ↓

Next step

Book a demo

Leave your details and we'll arrange a demo showing how the backtesting platform measures your brand across engines.

Prefer another channel? Email [email protected] or add us on LINE.