Query ladder
GSEO generates a ladder of queries — broad to intent — that mirrors how buyers find products in AI answer engines.
Motivation
Does your product appear when AI answers a buyer’s question?
GSEO measures how large language models understand, mention, and recommend your product across a structured query ladder. Baseline, then track what moves the needle.
How it works
Model panel
Each query runs across a panel of LLMs via OpenRouter. Results are compared, parsed, and stored for audit.
Evidence viewer
Raw model responses and parsed mention records are kept in full. No summaries hiding what the model actually said.
Influence tracker
When you ship content, GSEO schedules a rerun and measures whether the change moved your mention and recommendation rate.
Recommendations
Turn weak visibility into a concrete action queue
GSEO does not stop at a score. It packages the next owned-surface changes and measures the rerun.
LPWebsite
Category bridge landing page
Add buyer-language aliases around your category, use cases, and the jobs answer engines already understand.
Broad + solution queries
LLOwned evidence
llms.txt source map
Queue canonical pages, docs, and comparison evidence so grounded answers can find the right source quickly.
Entity clarity
CPDocs
Comparison brief
Create a focused alternatives page where competitors are currently mentioned and your product is absent.
Comparison queries
MRModel panel
Grounded rerun
Rerun the same query ladder after changes and compare mentions, recommendations, citations, and competitor pressure.
Validation
Get your first baseline
Connect your product URL and GSEO generates a query ladder, runs the model panel, and delivers an evidence report — usually in under five minutes.
Start measuring — free