Company intelligence
Rankfor.AI
Take Control of How AI Sees Your Brand
About Rankfor.AI
Rankfor.AI is the marketing and communications intelligence platform that maps how AI perceives your brand, finds the gaps by persona, and tells you exactly what to create to win recommendations - faster than any content team can brainstorm. Most tools “screen-scrape” what AI said – a rear-view mirror. Rankfor.AI explains why AI says it, what’s missing in your territory, and what to change.
Verified activity
Signals from Rankfor.AI
9 published signals
People
Rankfor.AI and Helsinki Business College Oy are offering AI-ready PR and Marketing specialists with skills in building presence in AI for the autumn.
Reported by Dmitrij Żatuchin, PhD CS
Presence & Recognition
Rankfor.AI employee Dmitrij Żatuchin is meeting Lukasz Rogala in Tallinn to kick off brainstorming on partnerships.
Reported by Dmitrij Żatuchin, PhD CS
Research & Knowledge
Rankfor.AI tested the method on three datasets collected by other teams, including two studying political responses and one studying LLM stability.
Reported by Dmitrij Żatuchin, PhD CS
Research & Knowledge
Rankfor.AI tested the method on three datasets collected by other teams, including two studying political responses and one studying LLM stability, and found that the external datasets test the statistical method.
Reported by Dmitrij Żatuchin, PhD CS
Research & Knowledge
Rankfor.AI tested the method on three datasets collected by other teams, including two studying political responses and one studying LLM stability, and found that fixed repeat counts did not transfer across datasets and some drift checks needed correction.
Reported by Dmitrij Żatuchin, PhD CS
Research & Knowledge
Rankfor.AI tested the method on three datasets collected by other teams, including two studying political responses and one studying LLM stability, and found 37 out of 39 reliability prediction checks met the predefined criterion.
Reported by Dmitrij Żatuchin, PhD CS
Research & Knowledge
Rankfor.AI tested a method to answer the question of how many repeats are needed for a model to produce a reliable shortlist.
Reported by Dmitrij Żatuchin, PhD CS
Research & Knowledge
Rankfor.AI ran six models against the machine itself, asking for six numbers from 1 to 49, two hundred times each, resulting in 1,200 answers.
Reported by Dmitrij Żatuchin, PhD CS
Research & Knowledge
Rankfor.AI achieved a 58% increase in AI visits by rewriting headers as questions and adding detailed tables of contents to long pages.
Reported by Dmitrij Żatuchin, PhD CS