Sayanskkhimplast
PVC · Irkutsk region
By our model, competitors take {pct}% of the primary choice in the category.
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 sits below the universe median ({median}). The gap is structural: the mechanics of getting into the primary choice are not worked out across the whole group of Russian objects in the category.
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 by market and buyer type
A model projection: {markets} priority markets against {icps} types of decision maker. A cell is the estimated share of scenarios where an AI assistant names the company in the primary shortlist. The buyer-type breakdown is derived from market values rather than measured.
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 «Packaging manufacturer» in the Turkey market: CCI 7. 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 {score} 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.
+0.25 pp correspond to ≈ $79 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
The scale of the market opportunity
How much of the market turns into revenue
The path from the total capacity of the sector's categories to the market reachable by the company: the frame is set by the product profile, the available geography and the sales channels; the share inside the frame — by the competitive position and the presence in the AI choice.
The annual capacity of the sector's researched categories at the upper bound of independent estimates
Capacity inside the company's frame: the sector, the measured markets available to it, the product profile
The CCI, the distribution across markets and the choice scenarios are measured. The capacity and the reachable-market range are a scenario projection from sources and assumptions, not a measurement; they are not a guarantee of a financial result.
Analytical summary
Key findings of the study
Measurement
Measured: the Choice Control Index inside the sector universe.
Projection
Projected: the participation and win indices, the distribution across markets and buyer types, the reachable market and the sensitivity of category share. 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: Sayanskkhimplast. 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 {cells} cells and a plan for the priority markets.
Request a diagnosticProfile and inclusion criterion
Sayanskkhimplast
PVC · Irkutsk region
The company is measured inside the universe of the «{sector}» sector: {size} players, one methodology, one wave.
In classic search and industry rankings the company is represented evenly. The gap appears on the layer where an AI assistant forms the primary shortlist of suppliers before any contact with the sales team.
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.
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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.