GGK Technologies: from unreadable
to machine-readable.
GGK Technologies is an early-stage incident-reporting SaaS company competing in a category full of household names. Like most young companies, GGK had rightly focused on building the business first and its machine-readable footprint second - so when GGK ran its first GenSight audit, it surfaced the gap almost every early-stage brand shares: AI engines struggled to resolve who GGK was. Entity Strength came in at 10 out of 100, with no structured data, knowledge-graph entry or llms.txt in place yet - the invisible plumbing that established brands have accumulated over decades.
Same engine, same 35 signals, same weights on every run. The score moved because the inputs did.
Where the points came from
What GGK shipped
Seven roadmap items, actioned entirely in-house between audits. No agency, no ad budget - every one is a structural fix the engine re-verified on the next run:
The honest part
Is GGK now the answer when someone asks ChatGPT for incident reporting software? Not yet - and no honest tool would claim otherwise for a startup in a competitive category. AI visibility happens in three stages: first a model has to be able to read you, then it has to know who you are, and only then can it recommend you.
Fourteen weeks ago GGK failed at stage one. Today its retrieval surface scores 90/100 and it exists in the knowledge graph AI engines resolve entities against - the foundations household names take for granted, built in-house by a lean startup team. Stage three is the compounding long game, and the audit now measures exactly where that frontier sits: Citation Worthiness, 38 and climbing. GGK is no longer invisible to the machines. It is in the race.
"I was very impressed with the report GenSight provided through its interface. It immediately showed us where we needed to make changes, and we're very pleased to see that, after only a few months, those changes are starting to pay off."
"I would recommend GenSight to any company. The way AI and large language models recommend products is completely different from traditional search engines, and GenSight has helped us understand this change."