Use cases

Whoever the AI recommends wins the customer

ChatGPT, Claude, Gemini and Perplexity are becoming the first place buyers ask for recommendations. Here's how teams of every size use GlassKoala to become the answer. Examples below are illustrative.

RAG Dependency Graph

Find the exact pages the AIs are reading

We trace the citation trees behind an AI answer and pinpoint the URLs where showing up would change it.

Small business

A 6-person booking tool

Found two G2 pages and a Reddit thread feeding the answer. Three contributions later, they were cited.

Enterprise

An enterprise martech suite

Mapped 1,200 trust anchors across four engines, found 60% of citation weight in nine domains.

Semantic Volatility Matrix

Know which phrasings you win, and which you lose

Real customers ask fifty different versions of the same question. We fire all of them and show you where a competitor's lead cracks.

Small business

A boutique espresso roaster

Won on “best specialty coffee subscription,” lost on “coffee subscription worth it.” One FAQ rewrite closed the gap.

Enterprise

A B2B cybersecurity vendor

Owned practitioner phrasing but lost every procurement-style query, reshaping a quarter of content strategy.

llms.txt Payload Compiler

Ship machine-readable answers, not guesses

We diff what the AIs know about you against what you need them to know, then compile validated llms.txt and JSON-LD for your site root.

Small business

A two-founder analytics startup

Generated a full llms.txt and JSON-LD set in one click, with no schema.org expertise on the team.

Enterprise

A multi-brand retail group

Standardized entity data across 14 storefronts, with schema updates now shipping through normal CI review.

Hallucination Interception

Catch the AIs getting it wrong before your customers do

We re-scan your tracked queries on a schedule and alert you the moment an engine states something false.

Small business

A local legal practice

Caught an engine claiming the firm had closed, a mix-up with a similarly named business. Corrected within weeks.

Enterprise

A fintech platform

Caught a false compliance claim that would have killed deals in procurement, and responded the same week.

Find out what the AIs say about you