Draft:Rankfor.AI


Rankfor.AI
TypePrivate
IndustryArtificial intelligence, Digital marketing
FounderDmitrij Żatuchin
HeadquartersTallinn, Estonia and Wrocław, Poland
Key people
Dmitrij Żatuchin (CEO), Marzena Ferguson (co-founder)
ProductsAI visibility analytics platform
Websiterankfor.ai

Rankfor.AI is an Estonian and Polish software company that develops a platform for measuring and improving how brands are represented by large language models such as ChatGPT and Google Gemini.[1][2] Its work is in the field of Generative engine optimization, also called answer engine optimization (AEO) or AI visibility.[3] The company was founded by Dmitrij Żatuchin, later joined by Marzena Ferguson as co-founder, and operates from Tallinn, Estonia, and Wrocław, Poland.[1]

History

Rankfor.AI was founded in 2025.[4] It is operated through two legal entities: Rankfor.AI OÜ, registered in Estonia,[5] and RANKFOR.AI sp. z o.o., registered in Wrocław, Poland.[6] The company describes itself as operating from Estonia and Poland,[1] and by 2026 was in an early growth stage with a team of eight.[4]

In 2025 the company raised an undisclosed amount of venture funding from Simpact Ventures, a Warsaw-based impact-driven venture capital fund.[1][2] Announcing the investment, chief executive Dmitrij Żatuchin said, "AI has become the new discovery layer. Brands spend millions on storytelling, but AI decides what the world hears."[1]

The name "Rankfor" is a registered trademark in the European Union, protected as an European Union trade mark recorded with the European Union Intellectual Property Office since February 2026.[7]

Product

The Rankfor.AI platform analyses how AI systems describe a brand, its products and its attributes across multiple models and personas. According to the company it "scans a client's digital presence, simulates customer journeys, tracks the client's visibility among AI search platforms, and delivers content plans and briefs prioritizing action."[1] The product structures company information into knowledge graphs and ontologies to make it machine-readable for language models, and identifies "blind spots", queries for which a brand does not appear in AI-generated answers.[2][3] It has also described building a tracking "pixel" for AI-driven discovery and a bank of AI personas that simulate how different users query AI systems.[4] The company publishes a metric it calls the Rankfor Index, a composite score of how AI models describe brands across languages, combining sentiment, recommendation share, citation-source quality, cross-language consistency and response stability.[8]

Research

The founders publish working papers on AI-generated brand reputation as preprints and open datasets; the studies have not appeared in peer-reviewed journals. Studies posted to arXiv include an analysis of 167,551 citations reporting that AI systems ground brand answers overwhelmingly (85.7%) in third-party sources rather than a brand's own website,[9] an examination of how query language and brand-recognition tier shape AI-constructed brand reputation across twelve European languages,[10] and a multi-industry map of brand category ownership across language models.[11] Preprints posted to Research Square include a standardized "Dice Roll" protocol for measuring stochastic variation in language-model outputs[12] and a three-study analysis of gender bias in AI product recommendations.[13] Associated datasets are published on Zenodo and Hugging Face.[14][15]

Reception

In the Spring–Summer 2026 issue of the business magazine Baltic Business Quarterly, journalist Anda Asere profiled Rankfor.AI among the "Baltic AI companies to watch".[4] The Estonian marketing publication Best Marketing has also reported on the company's research; in March 2026 it covered a Rankfor.AI survey of 170 Estonian marketers, of whom 62% said that AI systems never mentioned their brand.[16]

References

  1. ^ a b c d e f "Funds for AI Search Ranking Firm". Daily Research News Online. MrWeb. 8 December 2025. Retrieved 9 July 2026.
  2. ^ a b c "Rankfor.AI". Simpact Ventures. Retrieved 9 July 2026.
  3. ^ a b "Rankfor.ai Secures Funding to Shape the Future of AI-Driven Brand Visibility". piraiee.com. Retrieved 9 July 2026.
  4. ^ a b c d Asere, Anda (Spring–Summer 2026). "Rankfor.ai helps brands speak the language AI understands". Baltic AI Companies to Watch. Baltic Business Quarterly. German-Baltic Chamber of Commerce (AHK). p. 48.
  5. ^ "Rankfor.AI OÜ". e-Business Register (Republic of Estonia). Retrieved 9 July 2026.
  6. ^ "RANKFOR.AI sp. z o.o., Wrocław". ALEO / Krajowy Rejestr Sądowy. Retrieved 9 July 2026.
  7. ^ "Rankfor — European Union trade mark no. 019276053". European Union Intellectual Property Office. Retrieved 10 July 2026.
  8. ^ "The Rankfor Index 2026 (Nordic-Baltic + CEE Edition)". Rankfor.AI. Retrieved 10 July 2026.
  9. ^ Żatuchin, Dmitrij (2026). "How Large Language Models Source Brand Reputation Across Languages and Markets". arXiv:2606.25787 [cs.CL].
  10. ^ Żatuchin, Dmitrij (2026). "The Language Blind Spot: How Query Language and Brand Recognition Tier Shape AI-Constructed Brand Reputation Across Twelve European Languages". arXiv:2606.23165 [cs.CL].
  11. ^ Żatuchin, Dmitrij (2026). "Who Owns the AI Recommendation? A Multi-Industry Empirical Map of Brand Category Ownership Across Large Language Models". arXiv:2606.23057 [cs.CL].
  12. ^ Żatuchin, Dmitrij. "The Dice Roll Method: A Standardized Protocol for Measuring Stochastic Bias in Large Language Model Outputs". Research Square. Retrieved 9 July 2026.
  13. ^ "Gender bias in AI product recommendations (preprint)". Research Square. doi:10.21203/rs.3.rs-8883056/v1. Retrieved 9 July 2026.
  14. ^ "Rankfor.AI research datasets". Zenodo. doi:10.5281/zenodo.20788142. Retrieved 10 July 2026.
  15. ^ "Rankfor.AI datasets". Hugging Face. Retrieved 10 July 2026.
  16. ^ "Värske audit: enamik Eesti brände on tehisintellektile nähtamatud" [Fresh audit: most Estonian brands are invisible to AI]. Best Marketing (in Estonian). 30 March 2026. Retrieved 9 July 2026.


Category:Companies of Estonia Category:Companies of Poland Category:Artificial intelligence companies Category:Marketing companies

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