SIBUR
Russia · Packaging manufacturer · feedstock purchase for the production cycle
By our model, the company leads the primary choice in this segment; all other players take 6%.
What to change to be chosen
We found three possible directions for growth. We estimated how each of them could affect the buyer's choice and potential revenue.
Together ≈ $0.4 mn a year
- SIBURRussiaH17 mo
Pass technical evaluation.
Shortlist7681AI answers out of 100 that name SIBUR≈1 every 6 yearsnew annual contracts with converters≈ $0.2 mn a year in these contractsScenario estimate - SIBURRussiaH27 mo
Win the comparison with foreign grades.
Shortlist7680AI answers out of 100 that name SIBUR≈1 every 7 yearsnew annual contracts with converters≈ $0.2 mn a year in these contractsScenario estimate - SIBURRussiaH36 mo
Enter converters' shortlist.
Shortlist7678AI answers out of 100 that name SIBUR+3%to revenue from the buyer's decision journeyScenario estimate
Category universe
Petrochemicals · Wave Q1 2026Who takes part in the primary choice
The index measures the category's players by one methodology in a single wave. A single object's position only means something relative to this universe.
The release universe — the category's players measured in this wave by one methodology.
The company leads the segment universe; the gap to second place is 61 points.
CCI and competitors
25 CCI points ≈ 2 percentage points of market share — a working calibration.
More about the CCI methodology — more
A point-in-time measurement: a slice on a date, without smoothing or trends.
Presence map
Choice Control Index Packaging manufacturer
A model projection by buyer type on the Russia market: a cell estimates the share of scenarios in which the AI assistant puts the company on the primary shortlist. The study's buyer is measured; other types are derived from it.
Empty cells are markets where the measurement has not been collected yet.
The largest gap is on the priority export markets with the highest capacity: the larger the demand, the denser it is taken by competitors.
Buyer type «Procurement buyer» in the Russia market: CCI 63. The primary choice is formed mostly between competitors.
Choice scenarios in the cell
The key scenarios are shown; the full list is in the analysis.
Request an analysisInterpretation
What this means
The company enters the primary AI choice with an index of 63 out of 100. This is not an assessment of the product — it is an assessment of how machine-readably the company is present in the sources AI systems rely on.
This is manageable. The cells with the highest index show that, given a structured argument, the systems readily put the company into the shortlist. The task is to extend that to the remaining cells.
Index sensitivity
Wave Q1 2026What a higher position can change
Change the target CCI and source coverage to see the model's sensitivity. The calculation shows a possible change of position inside the model and is not a revenue forecast.
Move the target index level — the model recalculates what share of the category is redistributed.
+0.38 pp correspond to ≈ $0.8 mn of category capacity. This is not the company's potential revenue. The realisable commercial opportunity depends on the product, price, capacity, sales channels, contract structure and the constraints of the particular market.
Model assumptions
Analytical summary
Key findings of the study
Measurement
Measured: the Choice Control Index, the participation and win indices, the composition of shortlists in the choice scenarios.
Projection
Projected: the distribution across buyer types, the reachable market and the sensitivity of category share to the index. These are model estimates, not a measurement.
Wave Q1 2026 · CCI methodology v1.0 · measurement systems: ChatGPT · Perplexity · Google AI · Gemini · Claude · Yandex
Citation
CCI methodology v1.0How to cite the index
The release data is open for citation in media, analytical materials and academic work with a reference to the source.
Permanent link
GolOps. Choice Control Index: SIBUR. Wave Q1 2026, CCI methodology v1.0. GolOps Research, 2026.
For media
The release charts are available for publication. A comment from the research group is provided on request.
Request a commentData correction
Companies mentioned in the release can submit corrections. Justified discrepancies are taken into the next wave.
Submit a correctionManageability
This can bechanged.
The index can be changed: it is built out of sources, and sources are manageable.
Start with a diagnostic — an analysis of 5 cells and a plan for the priority markets.
Request a diagnosticProfile and inclusion criterion
SIBUR
SIBUR is named first on commodity grades, but on specialty grades the AI systems still point to foreign ranges.
Choice question: Choosing a polypropylene supplier for a packaging plant's production cycle in Russia
Universe of the “Polypropylene × Russia” study: 4 objects in the choice funnel, one methodology, one wave.
This is a managerial gap, not a reputational one: the sources AI systems rely on do not carry structured data about the company in the form they quote for its competitors.
Spotted an inaccuracy in the data on this page?
Report an errorFound an error in the company data?
If you represent the company, spotted an error or have a primary source, propose a correction. A change is accepted only with a source; each one has an author, a date and a status.