How Russian oil and gas pipe appears in the algorithmic choice of domestic buyers
Buyer at an oil and gas company · OCTG supplier qualification
73 out of 100 — this is how much the object influences the choice in this scenario0 — the buyer never sees you, 100 — you are recommended first
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.
TMKRussia
H17 moSettle the main question about premium connections.
Shortlist7278AI answers out of 100 that name TMK+8%to revenue from the buyer's decision journeyScenario estimateTMKRussia
H27 moWin the comparison on corrosion resistance.
Shortlist7276AI answers out of 100 that name TMK+6%to revenue from the buyer's decision journeyScenario estimateTMKRussia
H36 moEnter the shortlist through field service.
Shortlist7274AI answers out of 100 that name TMK+3%to revenue from the buyer's decision journeyScenario estimate- OMKNot assessed
The market is measured, but there is no report or growth hypotheses for OMK. We build them to order.
What task is the buyer solving?
Pick a choice scenario — a specific task of the buyer.
See which options AI systems consider, whom they recommend and how the participants' positions change across the stages.
Language shapes the choice
We study the same task in Russian and English to see how language affects AI-system recommendations and companies’ positions.
Why does TMK appear in 93% of answers but get only 60% of recommendations?
We traced how TMK passes the five stages of choice in AI-system answers. See where its position weakens most and how competitors perform.
Measurement conditions: S1 «Qualifying suppliers for a new production project» · journey «Problem-first» · Russia · languages RU, EN · AI systems: 7 · Q1 2026
Height of a column is the share of answers where the object passes the stage. The narrowing between columns is the loss.
A stage is analytical markup of a step, not a required order of conversation: a journey may start with a recommendation and come back to comparison.
Key finding
TMK and OMK are named first and reach the recommendation: the open questions concern premium threaded connections for demanding wells.
Point of maximum loss
The largest loss occurs between the stages «Shortlist» and «Recommendation»
TMK · journey «Problem-first»
Why the position is lost
Choice factors that keep the object out of the final recommendation.
Position depends on the journey and on the scenario
Probability of a final recommendation for TMK for each decision journey, in both scenarios.
The scenarios are different economic tasks. Their levels may be set side by side but not subtracted: the gap between scenarios is not a deficit to be closed.
Who takes the place
Tile area and colour show the win index on this market — shortlist and recommendation. The participation index is in the table view.
What to change to be chosen more often?
We identified what keeps the company from winning against competitors and proposed concrete actions to strengthen its position in the market.
Choose the solutions you want to implement. GolOps will help organise the work and check the result.
- 01
Show buyers how your connections performed in testing
Publish test reports for your premium threaded connections so buyers can see the results.
Forecast+6pts to the index - 02
Let buyers compare your pipes' corrosion resistance
Disclose full corrosion-resistance data so buyers can compare you with competitors more easily.
Forecast+4pts to the index - 03
Prove you can support your customers' oilfields
Describe your confirmed oilfield service network: where you operate and what services you provide.
Forecast+2pts to the index
Every solution you add raises the plan’s potential
How the forecast is calculatedforecast · model
- 01 addresses the loss factor “The premium threaded connection range is presented more narrowly than competitors'” · 51% of answers
- 02 addresses the loss factor “Corrosion-resistance data is only partly disclosed” · 41% of answers
- 03 addresses the loss factor “Field service is thinly described” · 18% of answers
This is a sample analysis for an object that entered the universe of this measurement. The universe is assembled anew at every scan of the category: its composition and the positions within it may change. Forecast, not a measurement. The upper bound is the loss at the narrowest transition, distributed across the weights of the loss factors; stage-passing points are carried into index points one to one, and the conversion coefficient is not yet established by the methodology. The money figure uses a working calibration: CCI is measured inside the category universe rather than against the whole market, so 25 index points are taken as roughly 2 percentage points of market share. The actual gain is obtained empirically only — by repeating the same benchmark after the intervention.
Check the conclusions against the raw observations
Study the data, reproduce the conclusions or find what we missed.
How the measurement works- 170
- observations
- 7
- AI systems
- 2
- languages · RU, EN
- Q1 2026
- measurement
Oil and gas pipe (OCTG) × Russia
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