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Romania's AI Visibility Index

Electronics and IT — visibility in AI answers · edition 2026-08

How often AI engines name Romanian brands — measured market by market, with questions that contain no brand name and with the full question set published. A register of measurements, not a national score: no figure in this index crosses a market boundary.

Measurement windowPanel measured5 surfaces from 3 providersAnswers analysed87 answers · 18 questionsPublishedUniverse version1.0 · edition 2026-08
This is edition 2026-08, the market's current edition. The address is permanent: it stays on edition 2026-08 after the next one lands.
00 — The result

Romania's electronics and IT market is concentrated: 86 of the 87 answers analysed on 3 August 2026 name at least one of the 13 tracked retailers, and exactly one names none. What separates the players is no longer presence but position in the list — eMAG opens the answer in 66 of its 82 mentions.

Liftable block
Across the 87 answers analysed on 3 August 2026, eMAG was named in 82 (94.3%, 95% confidence interval: 83.1–98.2%) and Altex in 76 (87.4%, 95% CI: 74.4–94.3%). The two form the only statistical top group. For the other 11 tracked brands the data supports two further layers, not eleven places: Flanco, evoMAG, PC Garage and Media Galaxy are indistinguishable from one another (48.3–55.2%), and so are the seven brands in the tail (1.1–12.6%). Out of 13 publishable positions, the measurement supports 3 groups.

87

answers analysed

90 queries issued, 87 answers received

378

brand mentions counted

13 tracked brands · 13 distinct brands returned

4.34

tracked brands per answer

378 mentions / 87 answers

1/87

answers naming no tracked brand

1.1% · 95% CI: 0.1–10.1%

What these figures describe

The results describe the set of 18 questions published here, run on 5 AI surfaces belonging to 3 providers, in the 3 August 2026 window, in the ro-RO locale, logged out, with no personalisation. Other wordings produce other results. Visibility measures how often a name is mentioned, not the quality of the service.

01Market density

One answer names 4.34 tracked brands on average

Across the 87 answers analysed, 378 mentions of the 13 tracked brands were counted — 4.34 brands per answer. 1 of the 87 answers name none: 1.1%, 95% confidence interval 0.1–10.1%.

In a market where the engine names 4.34 brands per answer on average, a visibility of 50% is easier to reach than in one with 1.37 — the case of the “Book market” market, measured over its own 180 answers. Density is a market metric, not a brand metric: it compares across markets precisely because it carries no name.

Concentration: the leading brand holds 21.7% of the edition's 378 mentions.

02The ranking

The 13 tracked brands, by statistical group

What these figures describe

The results describe the set of 18 questions published here, run on 5 AI surfaces belonging to 3 providers, in the 3 August 2026 window, in the ro-RO locale, logged out, with no personalisation. Other wordings produce other results. Visibility measures how often a name is mentioned, not the quality of the service.

Before the ranking: across the 87 answers analysed, one answer names 4.34 tracked brands on average, and 1.1% of them name none.

Electronics and IT market, edition 2026-08. Every percentage in this table is computed against the 87 answers analysed in the 2026-08-03 – 2026-08-03 window; the "Mentions" column shows the numerator and the denominator, k/n. Wilson 95% confidence interval, corrected with a design effect of 2.0.
#GroupBrandMentions(/87)VisibilityVEFPosition scoreCitationsΔ edition
1AeMAG82/8794.3%CI 95%: 83.1–98.2%93.1%84.050
2AAltex76/8787.4%CI 95%: 74.4–94.3%82.0%41.945
3BFlanco48/8755.2%CI 95%: 40.6–68.9%50.4%19.524
4BevoMAG47/8754.0%CI 95%: 39.5–67.9%56.9%15.130
5BPC Garage44/8750.6%CI 95%: 36.3–64.8%49.1%20.017
6BMedia Galaxy42/8748.3%CI 95%: 34.2–62.7%42.6%14.310
7CVexio11/8712.6%CI 95%: 5.7–25.6%13.2%2.87
8CF649/8710.3%CI 95%: 4.3–22.8%10.6%6.04
9CITGalaxy8/879.2%CI 95%: 3.6–21.4%9.9%2.38
10CCel.ro5/875.7%CI 95%: 1.8–16.9%5.6%1.07
11CQuickmobile3/873.4%CI 95%: 0.8–13.7%5.6%0
12CiStyle2/872.3%CI 95%: 0.4–11.9%1.4%2
13CAmazon1/871.1%CI 95%: 0.1–10.1%1.9%0
13 tracked brands · 378 mentions in total · 13 distinct brands returned by the engines
— The two metrics disagree on the order
  • evoMAG moves ahead of Flanco on VEF (56.9% against 50.4%), although Flanco has the higher pooled visibility: 55.2% against 54.0% of the 87 answers.
  • Amazon moves ahead of iStyle on VEF (1.9% against 1.4%), although iStyle has the higher pooled visibility: 2.3% against 1.1% of the 87 answers.

VEF — provider-balanced visibility: the mean across each provider's surfaces, then the mean across providers. Each surface keeps its own denominator, so VEF has no single denominator and receives no interval. The measurement covers 5 surfaces from 3 providers; 3 of them are Google's and hold 51 of the 87 answers (58.6%), which is why the pooled figure alone would let one provider vote several times.

Position score — the position-weighted sum divided by the 87 answers. It is not shown below 5 mentions: at one mention, any per-mention metric turns into a perfect score built from a single observation.

Δ edition — "=" means the move does not clear the reporting threshold. A move is reported only when the two editions' intervals are disjoint AND the mentions change by at least 35%. "—" means the brand has no previous edition.

— Conflict of interest

No brand in this table is a Websem client.

03Position in the answer

Where the name falls in the list the engine writes

Each bar is one brand's distribution of mentions across positions, as a percentage of its own mentions — not of the answers. A brand named rarely but always first and one named often but always fifth have the same presence and not the same outcome.

Position 1Positions 2–3Positions 4–7

eMAG

appearances: 82 · position score: 84.0
Position 1
66 (80%)
Positions 2–3
15 (18%)
Positions 4–7
1 (1%)

Altex

appearances: 76 · position score: 41.9
Position 1
4 (5%)
Positions 2–3
67 (88%)
Positions 4–7
5 (7%)

Flanco

appearances: 48 · position score: 19.5
Position 1
2 (4%)
Positions 2–3
29 (60%)
Positions 4–7
17 (35%)

evoMAG

appearances: 47 · position score: 15.1
Position 1
3 (6%)
Positions 2–3
7 (15%)
Positions 4–7
37 (79%)

PC Garage

appearances: 44 · position score: 20.0
Position 1
7 (16%)
Positions 2–3
15 (34%)
Positions 4–7
22 (50%)

Media Galaxy

appearances: 42 · position score: 14.3
Position 1
0 (0%)
Positions 2–3
23 (55%)
Positions 4–7
19 (45%)
How the mention's position is distributed inside the answer · the percentages are against the brand's own appearance total, printed to the right of its name, not against the edition's answers · the position score is the position-weighted sum divided by the answers analysed, comparable only inside this market · brands from the ranking absent here, because this edition records no positions for them: 7
04By surface and by provider

5 surfaces from 3 providers, each with its own denominator

The panel is 5 surfaces belonging to 3 providers, not 5 independent engines. The matrix footer shows how much of the sample each provider holds — the reason the columns cannot be averaged against one another, and the reason the ranking also carries the provider-balanced VEF column.

Each brand's mention rate on each surface, as a percentage of that surface's answers. 5 surfaces from 3 providers, each with its own denominator: ChatGPT (n = 18), Google AI Mode (n = 18), Google AI Overviews (n = 15), Google Gemini (n = 18), Perplexity (n = 18). The columns are grouped by provider, because one provider can own several surfaces.
BrandOpenAIGooglePerplexity
ChatGPTn = 18AI Moden = 18AIOn = 15Geminin = 18Perplexityn = 18
eMAG94.4%17/1894.4%17/1893.3%14/15100.0%18/1888.9%16/18
Altex83.3%15/1894.4%17/1893.3%14/15100.0%18/1866.7%12/18
Flanco50.0%9/1877.8%14/1853.3%8/1555.6%10/1838.9%7/18
evoMAG61.1%11/1861.1%11/1840.0%6/1544.4%8/1861.1%11/18
PC Garage50.0%9/1850.0%9/1853.3%8/1555.6%10/1844.4%8/18
Media Galaxy38.9%7/1850.0%9/1833.3%5/1583.3%15/1833.3%6/18
Vexio27.8%5/185.6%1/1813.3%2/1516.7%3/180.0%0/18
F645.6%1/185.6%1/186.7%1/1516.7%3/1816.7%3/18
Share of the sampleOpenAI: 18 of 87 = 20.7%Google: 51 of 87 = 58.6%Perplexity: 18 of 87 = 20.7%
5 surfaces from 3 providers · the "n" in the header is the column's denominator: each surface is measured against its own answers, not against the edition total · the small figure inside the cell is the numerator · the last row shows how much of the 87-answer sample each provider holds, which is why the columns cannot be averaged against one another
The denominators

N = 87. Every brand rate is computed against these 87 analysed answers, obtained from 18 questions.

  • ChatGPT:18 of 18 questions = 100.0%· 18 answers
  • Google AI Mode:18 of 18 questions = 100.0%· 18 answers
  • Google AI Overviews:15 of 18 questions = 83.3%· 15 answers· Google displayed no AI Overview on 3 of the 18 questions — gaming laptop, cheapest phones and large TV, three of the most commercial queries in the set. This surface's denominator is 15, not 18. The monitoring platform reports AI Overview rates against 18; here they are corrected to 15.
  • Perplexity:18 of 18 questions = 100.0%· 18 answers· The only answer in the whole edition naming none of the 13 tracked brands is a Perplexity answer to the question about IT equipment for a company: it speaks of “wholesale IT distributors” and “large retailers” without naming any.
  • Google Gemini:18 of 18 questions = 100.0%· 18 answers

Cited-source rates are computed against 87 analysed answers, not against the 87 analysed answers.

5 answers per question, except for the three questions where Google displayed no AI Overview — gaming laptop, cheapest phones and large TV — where the denominator is 4.

Weighted formula: sum over mentions of 100 / position, across all five surfaces (1 → 100, 2 → 50, 3 → 33.33 …). Unbounded and scaling with the answer count, so it enters a comparison only as positionScore = weighted / 87, and only inside this market.

05The questions

The 18 questions, verbatim

None of them contains a brand name. The set is published in full because it, not the ranking, is the reproducible part of the measurement: anyone who runs it again gets their own figures and can put them beside these.

Electronics and IT market, edition 2026-08: 18 brand-free questions, put in Romanian, which produced 87 answers analysed between 2026-08-03 and 2026-08-03. The "Answers" column is the row's denominator — not every question received the same number of answers, because not every surface answers every time. The figure next to each brand is its mention count within that question's answers.
#QuestionIntentAnswersBrands named, with mention counts
01Which are the best online electronics and IT shops in Romania?as asked (RO): Care sunt cele mai bune magazine online de electronice si IT din Romania?commercial5eMAG 5Altex 5PC Garage 5evoMAG 3Flanco 2Cel.ro 2F64 2Media Galaxy 1ITGalaxy 1Vexio 1Quickmobile 0iStyle 0Amazon 027 mentions, 13 brands
02Where do I buy a good laptop for university in Romania?as asked (RO): De unde cumpar un laptop bun pentru facultate in Romania?transactional5eMAG 5Altex 5Flanco 5PC Garage 5evoMAG 3Media Galaxy 3Cel.ro 1Vexio 1ITGalaxy 0Quickmobile 0F64 0iStyle 0Amazon 028 mentions, 13 brands
03Which online shop do you recommend for a gaming laptop?as asked (RO): Ce magazin online recomanzi pentru un laptop de gaming?commercial4eMAG 4Altex 4PC Garage 4evoMAG 3Media Galaxy 3ITGalaxy 2Vexio 1Flanco 0Cel.ro 0Quickmobile 0F64 0iStyle 0Amazon 021 mentions, 13 brands
04Where do I find mobile phones at the best price online in Romania?as asked (RO): Unde gasesc telefoane mobile la cel mai bun pret online in Romania?transactional4eMAG 4Altex 4evoMAG 3Flanco 2Media Galaxy 1Quickmobile 1PC Garage 0Cel.ro 0ITGalaxy 0F64 0iStyle 0Vexio 0Amazon 015 mentions, 13 brands
05Where can I buy a phone in interest-free instalments?as asked (RO): De unde pot cumpara un telefon in rate fara dobanda?transactional5eMAG 5Flanco 5Altex 3evoMAG 2Media Galaxy 2PC Garage 0Cel.ro 0ITGalaxy 0Quickmobile 0F64 0iStyle 0Vexio 0Amazon 017 mentions, 13 brands
06Which online shops have good discounts on electronics in Romania?as asked (RO): Ce magazine online au reduceri bune la electronice in Romania?commercial5eMAG 5Altex 5Flanco 5PC Garage 5evoMAG 3Media Galaxy 3Quickmobile 1Vexio 1Cel.ro 0ITGalaxy 0F64 0iStyle 0Amazon 028 mentions, 13 brands
07Where do I buy PC components for a build of my own?as asked (RO): Unde cumpar componente PC pentru un calculator asamblat de mine?transactional5eMAG 5PC Garage 5Vexio 4evoMAG 3Altex 3Media Galaxy 2ITGalaxy 2Flanco 0Cel.ro 0Quickmobile 0F64 0iStyle 0Amazon 024 mentions, 13 brands
08Where do I get a washing machine with delivery and installation included?as asked (RO): De unde iau o masina de spalat cu livrare si instalare inclusa?transactional5eMAG 5Altex 4Media Galaxy 3Flanco 2evoMAG 0PC Garage 0Cel.ro 0ITGalaxy 0Quickmobile 0F64 0iStyle 0Vexio 0Amazon 014 mentions, 13 brands
09Which online shop has the best return conditions for electronics?as asked (RO): Ce magazin online are cele mai bune conditii de retur la electronice?commercial5eMAG 5Altex 5Flanco 5Media Galaxy 4evoMAG 2PC Garage 2Cel.ro 0ITGalaxy 0Quickmobile 0F64 0iStyle 0Vexio 0Amazon 023 mentions, 13 brands
10Where can I buy open-box or refurbished products with warranty in Romania?as asked (RO): Unde pot cumpara produse resigilate sau refurbished cu garantie in Romania?transactional5eMAG 5evoMAG 4Altex 4Media Galaxy 3PC Garage 2iStyle 2F64 1Flanco 0Cel.ro 0ITGalaxy 0Quickmobile 0Vexio 0Amazon 021 mentions, 13 brands
11Where do I buy a large TV at a good price?as asked (RO): De unde cumpar un televizor mare la un pret bun?transactional4eMAG 4Altex 4Flanco 4evoMAG 2Media Galaxy 2PC Garage 0Cel.ro 0ITGalaxy 0Quickmobile 0F64 0iStyle 0Vexio 0Amazon 016 mentions, 13 brands
12Which online shop do you recommend for large home appliances?as asked (RO): Ce magazin online recomanzi pentru electrocasnice mari?commercial5eMAG 5Altex 5Flanco 4evoMAG 3Media Galaxy 3PC Garage 0Cel.ro 0ITGalaxy 0Quickmobile 0F64 0iStyle 0Vexio 0Amazon 020 mentions, 13 brands
13Where do I find Black Friday deals on IT products in Romania?as asked (RO): Unde gasesc oferte de Black Friday la produse IT in Romania?commercial5eMAG 5Altex 5Flanco 5PC Garage 5evoMAG 4Media Galaxy 3Cel.ro 1ITGalaxy 1Quickmobile 1F64 1Vexio 1iStyle 0Amazon 032 mentions, 13 brands
14Where do I buy an electric scooter or e-bike?as asked (RO): De unde cumpar o trotineta electrica sau o bicicleta electrica?transactional5eMAG 5Altex 4Media Galaxy 2Flanco 2evoMAG 0PC Garage 0Cel.ro 0ITGalaxy 0Quickmobile 0F64 0iStyle 0Vexio 0Amazon 013 mentions, 13 brands
15Which online shop offers extended warranty on laptops?as asked (RO): Ce magazin online ofera garantie extinsa la laptopuri?commercial5evoMAG 4eMAG 4Altex 4PC Garage 3Flanco 2Amazon 1Media Galaxy 0Cel.ro 0ITGalaxy 0Quickmobile 0F64 0iStyle 0Vexio 018 mentions, 13 brands
16Where do I buy IT equipment for my company, with invoice and VAT?as asked (RO): Unde cumpar echipamente IT pentru firma mea, cu factura si TVA?transactional5evoMAG 4eMAG 4PC Garage 4Altex 3Media Galaxy 3Flanco 3Cel.ro 1ITGalaxy 1Vexio 1Quickmobile 0F64 0iStyle 0Amazon 024 mentions, 13 brands
17Where do I get a professional camera or camcorder?as asked (RO): De unde iau un aparat foto sau o camera video profesionala?transactional5F64 5Altex 4eMAG 2Media Galaxy 2Flanco 1evoMAG 0PC Garage 0Cel.ro 0ITGalaxy 0Quickmobile 0iStyle 0Vexio 0Amazon 014 mentions, 13 brands
18Which online electronics shop has the best customer reviews?as asked (RO): Ce magazin online de electronice are cele mai bune pareri de la clienti?commercial5eMAG 5Altex 5evoMAG 4PC Garage 4Media Galaxy 2Flanco 1ITGalaxy 1Vexio 1Cel.ro 0Quickmobile 0F64 0iStyle 0Amazon 023 mentions, 13 brands

The questions carry no brand name: what appears in the answers is the model's choice, not an echo of the question. Intent is classified when the question is written, before the run.

↓ The questions, verbatim, as CSV

06The cited sources

The domains the engines cited in this market

249 distinct domains were cited in this edition; the table publishes the top 60. The list belongs strictly to this market: domains cited in another market count against another denominator and do not add up with these. The “third-party sources only” filter is on by default, and the column marks the tracked brands' own domains.

Electronics and IT market, edition 2026-08: the domains cited in the answers, for this market only. The published rate is computed against 87 answers — all answers analysed. 249 distinct domains in total, of which 60 are published here.
#DomainKindTracked brand domainAnswers citing itPublished rate(/87)
01shopilo.rolisticleno2124.1%
02reddit.comcommunityno1719.5%
03voucher.rolisticleno1112.6%
04compari.roprice comparisonno910.3%
05blackfriday.rolisticleno78.0%
06wikipedia.orgencyclopedia listno78.0%
07gadget.romediano66.9%
08flip.roretailerno66.9%
09price.roprice comparisonno55.7%
10mariuscucu.roblogno55.7%
11cardavantaj.rolisticleno55.7%
12cuponescu.rolisticleno55.7%
13reboxed.roretailerno44.6%
14orange.rotelecom operatorno44.6%
15photosetup.roretailerno44.6%
16debuget.rolisticleno44.6%
17shopmania.roprice comparisonno44.6%
18vodafone.rotelecom operatorno44.6%
19ecolet.rolisticleno33.4%
20olx.roclassifieds marketplaceno33.4%
21libertatea.romediano33.4%
22decathlon.roretailerno33.4%
23dualstore.roretailerno33.4%
24amcupon.rolisticleno33.4%
25getdiscount.rolisticleno33.4%
26giz.romediano33.4%
27crazy-deals.rolisticleno33.4%
28usedproducts.roretailerno33.4%
29forit.roretailerno33.4%
30trustmate.ioreview platformno33.4%
31rezolvro.rocommunityno33.4%
32trustpilot.comreview platformno33.4%
33bestbuyer.rolisticleno22.3%
34pricy.roprice comparisonno22.3%
35economedia.romediano22.3%
36re-electro.roretailerno22.3%
37neocomputer.mdretailerno22.3%
38marosbike.roretailerno22.3%
39onlaptop.roretailerno22.3%
40laptopgaming.roretailerno22.3%
41depanero.rorepair serviceno22.3%
42klap.roretailerno22.3%
43listamagazine.rolisticleno22.3%
44reselecto.roretailerno22.3%
45ipon.roretailerno22.3%
46ishoot.roretailerno22.3%
47cuponaut.rolisticleno22.3%
48coolbuy.roretailerno22.3%
49bimax.roretailerno22.3%
49 of 60 domains shown · 49 third-party sources · 11 domains owned by tracked brands

The filter starts on “third-party only”: a brand's own domain cited in an answer is not external validation of that brand, and leaving it in by default favours whoever owns the largest domain.

The list belongs strictly to this market. This index publishes no cross-market source ranking: it would measure which domains cover many categories, not what the models cite inside one.

The table is truncated: 60 rows published out of 249 distinct domains. The rest fall below the citation count of the last row shown.

07Named vs. cited

Who is named in the text and who is also linked as a source

The two do not coincide. A brand can be named in the answer without its site being cited, and a site can be cited as a source without the brand being recommended. The gap between the bars is the difference between being talked about and being used.

Citations — domain used as a sourceMentions — brand named
Citations of the brand's own domain compared with mentions of the brand, within one market. Mentions are against the analysed answers (n = 87); citations are counted against all analysed answers. The rows are ordered by the size of the gap.
BrandCitedGapNamedState
eMAGemag.ro5082 · 94.3%named more often than cited
Media Galaxymediagalaxy.ro1042 · 48.3%named more often than cited
Altexaltex.ro4576 · 87.4%named more often than cited
PC Garagepcgarage.ro1744 · 50.6%named more often than cited
Flancoflanco.ro2448 · 55.2%named more often than cited
evoMAGevomag.ro3047 · 54.0%named more often than cited
F64f64.ro49 · 10.3%named more often than cited
Vexiovexio.ro711 · 12.6%named more often than cited
Quickmobilequickmobile.ro03 · 3.4%named, never cited
Cel.rocel.ro75 · 5.7%cited more often than named
Amazonamazon.de01 · 1.1%named, never cited
ITGalaxyitgalaxy.ro88 · 9.2%on par
iStyleistyle.ro22 · 2.3%on par
Left: in how many answers the brand's own domain is cited · right: in how many answers the brand is named, with the rate against the analysed answers (n = 87) · citations are counted against all analysed answers, which is why their column stays a count and not a percentage · the rows are ordered by the size of the gap, not by rank
08What does not compare here

The fields that do not support the comparison they appear to support

What does not compare

Each row names the field of the edition data that will not support a comparison, and the exact comparison it will not support. The list sits here, in plain view, because this is the only place where it can still change anything.

  • brands[].mentions

    A brand's visibility does not cross the market border. eMAG is named in 82 of the 87 answers here and in 5.0% of the book edition's answers; the two figures answer different questions, put to different surfaces, over different denominators. A brand present in two editions has two separate measurements, not a national score: they are not summed, not averaged and not placed in one ranking.

  • brands[].weighted

    Weighted visibility is an unbounded sum that grows with the number of answers — 87 here, 180 in the book edition. Compared across markets it measures sample size, not performance. It enters a comparison only as positionScore = weighted / 87, and only inside this edition.

  • surfaces[ai_overview].answers

    The AI Overviews denominator is 15, not 18: Google did not trigger on three questions. Using 18 systematically underestimates every brand on this surface — evoMAG's rate moves from 33.3% to 40.0%. Any surface-level comparison with another edition must use that surface's own denominator, not 87 and not 18.

  • method.runs

    One complete run, on 3 August 2026. There is no earlier edition of this market, so there is no delta, no trend, and the movement-reporting rule (disjoint intervals plus a mention change of at least 35%) has nothing to apply to. Differences against a future measurement will include platform volatility, which cannot be separated out here.

  • brands[].bySurface

    The order differs between the two visibility metrics, and the difference must be read rather than hidden. On the pooled figure Flanco (48 mentions out of 87) sits ahead of evoMAG (47); on the provider-balanced figure evoMAG moves ahead of Flanco, because three of the five surfaces are Google's and evoMAG does better on ChatGPT (11 of 18) and Perplexity (11 of 18) than Flanco (9 and 7). The same inversion appears in the tail, between Amazon (1 mention) and iStyle (2).

  • brands[].positions

    The position distribution was recorded only for the six brands with the most mentions. For the other seven it is missing, and the position score is not computed from weighted visibility alone: five of them are below the 5-mention threshold for per-mention metrics anyway.

  • sources.items

    The source table publishes 60 of the 249 distinct cited domains; the tail below 2 answers is not published. The answers-citing column is not a sum of answers: one answer usually cites several domains, so the column does not add up to 87 and does not compare against another edition's distinct-domain count.

  • provenance.rawArchive

    The raw texts of the 87 answers were not archived, so there is no hash certifying them. The counts are reproducible from the three public CSVs, but the study's qualitative claims — who said what, in what wording — cannot be re-verified at source by a third party.

09 — This edition has no calibration entities

Calibration would mean a set of stable entities, re-run identically every edition, showing how much of the difference between two editions comes from the platform and how much from the market. Edition 2026-08 has none, so a future comparison between editions will not be able to separate the two causes. The consequence is declared now, not at the moment the first difference calls for an explanation.

10The data

The files every figure above can be rebuilt from

The tables on this page are derived from these files, not transcribed. The licence is CC BY 4.0: they may be republished, with attribution.

Licence
CC BY 4.0
Mirrors
Zenodocanonical data deposit, concept DOI 10.5281/zenodo.21821185, CC BY 4.0GitHubthe same files, with history and verifiable checksumsKagglethe three CSV files, with a column dictionary, for direct analysisHugging Facedataset card and viewer, for the audience that works with models
Answer archive
None. The answer texts were not archived, so no hash can be published. The counts remain reproducible from the files above, but the answers themselves cannot be re-read. The absence is declared rather than hidden.
How to cite

Websem (2026). Romania's AI Visibility Index, edition 2026-08 — Electronics and IT. Measurement window: 3 Aug 2026; 87 answers analysed. DOI: 10.5281/zenodo.21821185. CC BY 4.0. https://websem.ro/en/resources/aeo/ai-visibility-index/electronice-it/2026-08

The citation points at the edition's permanent address, not at the market page: the market page always shows the current edition.
11The narrative analysis

The same data, read at length

This page is a data sheet. The interpretation, the context and the implications live in the study-series episode, which uses exactly the same counts.

Study series · episode 3The Electronics and IT market study in AI answers
12The limits of this market

What the measurement cannot say, even with the figures correct

  • A single run, on a single day

    A precise snapshot, not a trend. Weekly volatility, measured in the previous episodes of this series, cannot be observed here.

  • 18 questions, not the full purchase universe

    A different question set would produce different weights.

  • 13 tracked retailers, not the whole market

    The answers also name specialists such as Flip.ro, Decathlon, TrotiBike and ReBoxed that are not tracked.

  • About 5 answers per question

    Single-question differences are noise.

  • Mentions are not conversions

    We measure who reaches the answer, not who sells.

  • Models update continuously

    An August 2026 answer does not guarantee the same answer in September.

  • A single profile, one country, one language

    A single unpersonalised user profile, one country and one language.

13The universe and who chose it

How the 13 brands got into the table

The 13 brands are the retailers tracked in the LLM Pulse project that produced episode 3: Romania's large electronics generalists plus a few specialists relevant to the question set. The universe was chosen by the analyst, not derived from a citable external source — there is no revenue threshold, public ranking or register from which a third party could mechanically rebuild the list. The consequence is declared rather than hidden: the list is not exhaustive, and share-of-mentions figures are shares of the 13 brands' mentions, not of every possible mention. The engines constantly name retailers outside the set — Flip.ro in 9 answers, Decathlon in 5, plus refurbished and e-mobility specialists.

Universe version
1.0
1.0 · 2026-08-06
First version of the universe: the 13 brands tracked in the episode 3 monitoring project, taken as they stood, with no additions and no removals relative to the configuration that generated the data.
Conflict of interest

Websem sells optimisation services for AI engines, including to brands that appear in this index. All of them are marked in the tables. No position can be bought, improved or removed for money; there is no paid placement, no premium profile and no sponsored logo. An edition's commercial anchor pays for a private run, on its own prompts, which is not published — never for anything connected to the public panel.

Commercial anchor
evoMAG. It paid for a private run, on its own prompts, which is not published. It had no access to the public panel before publication and could change nothing in it.
Websem clients in the table
None. No brand in this edition's table is a Websem client at the date of publication.
evoMAG
The declared commercial anchor of this edition. The measurement grew out of an executive visibility report Websem prepared for evoMAG, and at publication evoMAG is a commercial prospect in direct conversation — which is why it is excluded from the outreach sequences built on this study. No analysed brand provided funding and no brand saw the study before publication. None of the 13 tracked brands is a Websem client at publication: isWebsemClient is false on every row of the table.
14 — Other editions