The Complete Guide to GEO
What generative engine optimization is, how it developed, how the major AI search systems differ, and the principles and tactics that follow — content, technical, authority, and entity clarity.
Read the guide →
Research / Four papers
Understanding AI search, in depth.
Longer-form research on how generative engines answer, how that differs from classic search, and what it means for a business that wants to be found. Written in early 2026 and cited to their sources; measured client evidence lives on the homepage and in the Rankovi Labs case studies.
SEO vs GEO — The Full Breakdown
A comparative analysis of search engine optimization and generative engine optimization: what each does, how they differ, where they overlap, and how to plan for both.
Read the breakdown →How AI Systems Decide Who to Cite
The mechanisms behind AI-generated citations — training data, retrieval, authority signals, and platform-by-platform differences — and the optimization framework that follows from them.
Read the analysis →The State of Search 2026
A report on the search landscape in 2026 drawn from published third-party research: platform growth, traffic shifts, industry impact, the citation economy, budget trends, and projections through 2028. Section 06 (an internal citation study) was withdrawn in the October 2026 review.
Read the report →These papers were written in March 2026 and reviewed on October 20, 2026: the figures they retain are quoted from the linked third-party sources, and statistics that could not be traced to a published source — including an earlier internal citation study in the State of Search report — have been withdrawn. Rankovi.ai client measurements are always shown with their date, denominators, and method.
From reading to measuring
See where your business stands.
A quick check gives an initial snapshot of whether your business appears in the answers tested. A Rankovi Labs engagement adds a repeatable baseline, interpretation, and an implementation plan.