Here's how we lift
your AI citation rate
One cycle: measure to find the gaps, publish content, then measure again. Here are examples of how citation rates move across different industries.
Example scenarios by industry
These examples show how measure → publish → re-measure plays out. They aren't specific customers.
A money-transfer app turns its citation rate around
When people asked for "the safest money-transfer app," only competitors showed up in the answers. After publishing weekly articles grounded in security certifications and fraud-detection evidence, the citation rate climbed from 41% to 68% in six weeks.
Outranking competitors in citation share
Starting with the 30 questions buyers ask right before purchase, they measured which competitors got cited first. By publishing content only for the topics where they were losing, they reached #1 in citation share across AI answers.
From zero to citations across every engine
This was a young SaaS company too new for any AI to cite. By consistently publishing articles with clear brand information, all 9 engines started mentioning the brand in their answers within four weeks.
More examples
A subscription media brand wins on AI citations
It lifted its citation rate by 31pp on content-recommendation questions in a single quarter.
A clinic-booking app expands its citations
It grew its citation share 3.4× across symptom and treatment questions.
A beauty brand shows up in AI recommendations
It auto-published content to consistently appear in AI product-recommendation answers.
A loan-comparison service
It reversed a citation ranking it was losing to competitors and took #1 on its core questions.
A collaboration tool grabs answer share
It significantly increased its citation share in answers to "the best collaboration tool."
A newsletter platform
With multilingual content, it got cited in answers across multiple languages alike.
This could be your brand
See right now whether 9 AI engines are citing your brand.