- Who conducted the study?
- Websem, a Romanian digital marketing agency specialised in AEO/GEO — optimising visibility in AI engines. The study is part of a series of original research on Romanian markets; the first episode analysed the luxury jewelry market.
- Which book brands are most visible in AI engines in Romania?
- In the 18–31 July 2026 window, the top five brands by mention count were Libris (37 mentions, 20.6% of the 180 answers), Litera (30 · 16.7%), Cărturești (29 · 16.1%), BookZone (24 · 13.3%) and elefant.ro (22 · 12.2%). The order changes if we weight by position in the answer: there Editura Trei climbs from 6th to 3rd.
- How many AI answers recommend no bookstore at all?
- 105 out of 180, i.e. 58%. In those answers, the engines respond with book titles, authors or small sites, without naming any of the 21 major brands tracked. Only 75 answers (42%) contain at least one major brand, and of those only 19 recommend a single brand.
- Which sources do AI engines cite when recommending books?
- 422 distinct domains were cited across the 180 answers. The most frequent: carturesti.ro (46 answers), reddit.com, litera.ro and libris.ro (34 each), bookzone.ro (29), targulcartii.ro (18). Reddit is the market's second source, above Facebook (11), YouTube (6) and any media publication.
- What does “ghost brand” mean in this study?
- A brand whose site the AI uses as a source of information but whose name never appears in the recommendation. Librarul.ro is cited in 14 answers and mentioned once; Târgul Cărții has 18 citations and 4 mentions. Typically this indicates weak entity signals: incomplete structured data, an unconsolidated identity, a name that is hard to tie to the domain.
- Can I replicate the study?
- Yes. All 18 questions are published on this page and in the downloadable CSV, the engines are public, and the protocol is described in full in the methodology section. Individual results will differ — the models are non-deterministic and update — but the aggregate patterns should be stable.
- Where does the data come from?
- From automated monitoring of the 5 engines via the LLM Pulse platform: each question is put to each engine weekly, and the answers are archived and analysed (mentions, positions, citations, sentiment). The aggregate raw data is public, in the three CSV files downloadable from this page.
- Can a brand in the study request corrections or details?
- Yes. If you represent a mentioned brand and believe the data needs additional context, get in touch. We correct demonstrable errors and mark any change transparently.
- Will the study be updated?
- Yes, monitoring continues weekly. We publish updates when accumulated data changes the conclusions — and the next episode in the series will analyse another Romanian market.
- Does AI speak badly about any book-market brand?
- No. Across all sentiment evaluations attached to the 247 mentions, zero were negative. AI engines do not criticise book-market brands — they simply ignore them. The battle is not fought on reputation, but on coverage.