GolOps
Decision journey study

How Russian oil and gas pipe makers appear in the algorithmic choice of Indian buyers

Buyer at a national oil and gas company · pipe products tender

14/ 100

14 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

Study index · object's CCI on this marketChoice Control Index of the object on this market, 0–100: how far it gets through the stages of choice and how often it wins. Measured on this market with this buyer type — on another market the same object scores differently.
-5 vs Q4 2025India · Q1 2026 · AI systems: 7
Photo: Joshua Doubek · CC BY-SA 3.0

The choice happens right here.

On a specific scenario and in the relevant languages we show where the company holds a strong position and where it starts to lose it.

Pick a company and find out why it loses the position, who takes its place, what the economic effect is and what can be changed.

AI systems: 7
AI systemThe measurement runs in every AI system at once. The combined result is shown by default. Each system shapes the choice differently: it uses its own sources, models and market context. So a company’s position can differ at different stages of the choice journey — from discovery to recommendation. Pick a system to see where exactly the company wins or loses its position.

Choice scenarios

The scenario is the economic task being measured. It sits below the market: each market has its own scenarios. Switching it recomputes the stages of choice, the point of maximum loss, the journey comparison, and the forecast under “Points of intervention”. The key finding, the loss factors, and the competitors belong to the measurement as a whole.

Language is a run condition, not a separate scenario: the same economic task is asked in the local language and in English. The gap between them is visible in the raw observations at the bottom of the page.

Compare the scenarios across journeys →
Choice journey

Passing the stages of choice

Share of AI-system answers where the object passes each stage of choice and stays in the buyer's consideration field. The early stages make up the Participation Index, the shortlist and recommendation — the Win Index.

Measured

Measurement conditions: S1 «A national company's tender for pipe products» · journey «Problem-first» · India · languages HI, EN · AI systems: 7 · Q1 2026

01DiscoveryDoes the object appear in the answer space at all?
TMKRU
69%
Jindal SAW
89%
Tenaris
91%
Welspun Corp
84%
02ConsiderationDoes the AI present it as a real alternative worth considering?
TMKRU
55%
Jindal SAW
83%
Tenaris
85%
Welspun Corp
77%
03EvaluationDoes it enter a substantive comparison against the choice criteria?
TMKRU
29%
Jindal SAW
74%
Tenaris
76%
Welspun Corp
67%
04ShortlistDoes it enter the final set of candidates?
TMKRU
10%
Jindal SAW
61%
Tenaris
62%
Welspun Corp
52%
05RecommendationDoes the AI recommend it outright as a preferred option?
TMKRU
3%
Jindal SAW
44%
Tenaris
45%
Welspun Corp
35%
Where the choice is lostTMK
−14
−26largest loss
−19
−7

Height of a column is the share of answers where the object passes the stage. The narrowing between columns is the loss.

Participation index51first three stages
Win index7shortlist and recommendation

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

Russian pipe enters consideration on price, but in their recommendations the AI systems favour local producers with confirmed qualification against Indian standards.

Point of maximum loss

The largest loss occurs between the stages «Consideration» and «Evaluation» −26 pp for TMK on the selected journey.

Why the position is lost

Choice factors that keep the object out of the final recommendation.

Tender preferences for local producers
66%
No confirmed qualification against Indian standards
54%
Restrictions on settlements and delivery times
49%
A weak evidence base on premium grades
40%
Few Hindi- and English-language technical materials
31%

Position depends on the journey and on the scenario

Probability of a final recommendation for TMK for each decision journey, in both scenarios.

S1S2

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

In AI recommendations (60–100)
Medium (30–59)
Low (10–29)
Critical (0–9)
Luxembourg · Italy#1 · leader
The premium segment and service.
Tenaris
54

Tile area and colour show the win index on this market — shortlist and recommendation. The participation index is in the table view.

For companies · from findings to action

What implementation givessample analysis

Each hypothesis is a verifiable action with a forecast of the index gain. Approve the ones you take on — implementation starts from your confirmation.

  1. 01loss factor · 66% of answers

    Confirmed compliance with Indian standards will close the key objection at the evaluation stage.

    Tender preferences for local producers

    Forecast+10pts to the index
  2. 02loss factor · 54% of answers

    A local warehousing and service partnership will reduce the loss on the transition into the shortlist.

    No confirmed qualification against Indian standards

    Forecast+8pts to the index
  3. 03loss factor · 49% of answers

    Publishing grades and parameters in machine-readable form will raise passage through the consideration stage.

    Restrictions on settlements and delivery times

    Forecast+8pts to the index
How the forecast is calculatedforecast · model

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.

Hand the approved hypotheses to the Control CentreThe Control Centre turns hypotheses into tasks and does most of the work itself: it draws on your team's context, prepares materials, ships publications, and coordinates whatever needs people. Control and the key decisions stay with you.
Full plan potential+26pts to the index1440index 14 → 40forecast · model
For researchers · verification and authorship
Verifiability · for researchers

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 · HI, EN
Q1 2026
measurement
Sample data rows
IDQueryModelLangAnswer (fragment)
023भारत में तेल और गैस परियोजना के लिए OCTG पाइप के सर्वश्रेष्ठ आपूर्तिकर्ता कौन हैं?GeminiHI…Jindal SAW और Welspun घरेलू निविदाओं में सबसे आगे हैं, Tenaris प्रीमियम खंड में। रूसी आपूर्तिकर्ता मूल्य के आधार पर आते हैं, पर योग्यता प्रमाणन की कमी बताई जाती है…
057Shortlist OCTG suppliers for an Indian NOC tender with sour service requirements.PerplexityEN…domestic mills such as Jindal SAW and Welspun benefit from local content rules, with Tenaris for premium grades. Russian mills are price-competitive but flagged on qualification and payment routes…
001भारत के लिए प्रमुख OCTG आपूर्तिकर्ता कौन हैं?PerplexityHI…पहले Jindal SAW और Tenaris का उल्लेख होता है; TMK बड़े उत्पादक के रूप में जाना जाता है पर योग्यता सूची में कम आता है…
002Who are the leading OCTG suppliers for India?GeminiEN…Jindal SAW and Tenaris are named first; TMK is known as a large producer but rarely appears in the qualification lists…
003भारत में OCTG उपलब्ध कराने वाली कंपनियाँ कौन सी हैं?ClaudeHI…शॉर्टलिस्ट Jindal SAW और Tenaris के इर्द-गिर्द बनती है। TMK का उल्लेख तभी होता है जब विकल्प पूछे जाएँ…
A place for you
Open study · GolOps Research

Oil and gas pipe (OCTG) × India

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.

2choice scenarios
7AI systems measured
5objects compared
Authorship · share in commercial projects · Terms of participation are fixed before the study starts
Paid tasks · India

TMK loses the choice at the stage «Shortlist»

TMK — 10% · Tenaris — 62%. In 66% of observations one of the reasons is tender preferences for local producers.

  • GEO · India

    Grades and parameters, machine-readable

    Publish grades and parameters in machine-readable form.

    Expected effect+8 pts to the index1 contractor

Photo: Aciarium (CC BY-SA 4.0), Vyacheslav Bukharov (CC BY-SA 4.0)