How Russian liquefaction technology appears in the algorithmic choice of LNG project operators in Russia
LNG project operator · localising the liquefaction technology
64 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.
NovatekRussia
H17 moRemove doubts about technology maturity.
Shortlist5662AI answers out of 100 that name Novatek+11%to revenue from the buyer's decision journeyScenario estimateNovatekRussia
H27 moEnter direct comparison with foreign processes.
Shortlist5661AI answers out of 100 that name Novatek+9%to revenue from the buyer's decision journeyScenario estimateNovatekRussia
H37 moRemove the delivery-time risk.
Shortlist5660AI answers out of 100 that name Novatek+7%to revenue from the buyer's decision journeyScenario estimate- CryogenmashNot assessed
The market is measured, but there is no report or growth hypotheses for Cryogenmash. 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 Novatek appear in 88% of answers but get only 42% of recommendations?
We traced how Novatek passes the five stages of choice in AI-system answers. See where its position weakens most and how competitors perform.
Measurement conditions: S1 «Choosing a liquefaction technology for a new train» · 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
“Arctic Cascade” is named as a domestic alternative, but at the evaluation stage the AI systems point to its smaller number of operating trains compared with foreign processes.
Point of maximum loss
The largest loss occurs between the stages «Evaluation» and «Shortlist»
Novatek · 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 Novatek 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 your technology is proven in operation
Publish data on your operating liquefaction lines so buyers can see real operating experience.
Forecast+6pts to the index - 02
Let buyers compare you with foreign alternatives
Disclose your process's unit performance figures so buyers can compare it directly with foreign technologies.
Forecast+5pts to the index - 03
Show you can deliver equipment on time
Confirm delivery times for key components so buyers can plan their projects with confidence.
Forecast+4pts to the index
Every solution you add raises the plan’s potential
How the forecast is calculatedforecast · model
- 01 addresses the loss factor “Fewer operating trains than the foreign processes” · 55% of answers
- 02 addresses the loss factor “Specific-consumption figures are only partly disclosed” · 43% of answers
- 03 addresses the loss factor “Delivery times for long-lead equipment are unconfirmed” · 35% 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
Natural gas liquefaction technology × Russia
Take this study under your name. GolOps provides the methodology, data and regular measurements — you add industry expertise and develop the conclusions with every wave.
Authorship stays with you. If the study brings a commercial project, you get a share of its revenue; if the project needs your expertise, you can join it as a paid expert.
