How language models shape choice
The GolOps Lab research center. We measure how AI shapes perception of companies, industries, and countries. Methodology and raw data are open.
6 models · 12+ industries

GolOps gives the company an external mechanism for managing access to choice in the language-model environment. We don't interfere with the models' internal architecture — we work with the layer of signals, sources, and market scenarios through which the first shortlist is formed.
7 AI systems · 1.2M signals per day · 2 of Russia's top-50 companies onboard

Primary commercial shortlisting is shifting into the AI environment, where vendors and solutions are compared differently than in traditional search. This environment requires its own measurement system, indices, and management practice.
of B2B procurement will be delegated to autonomous AI agents by 2028
Gartner, 2026
in traditional search traffic by 2026 in favor of AI channels
Gartner, 2025
higher conversion from AI channels than from organic search
Semrush, 2026
GolOps unifies everything needed to govern your company's position in the AI environment: indices, choice scenarios, team action, and validation of market impact.
From actions to outcomes
Shifts in the choice environment are translated into the language of commercial results, so the team sees not only the index trend but also the impact on demand, market access, and final revenue.
From big data to insights
See how AI models present your company to each customer type, across different market scenarios, and with which exact wording it enters the first shortlist.
From insights to actions
The system identifies which changes actually shift the company's position in a given choice scenario and brings decisions to the team for approval before launch.
Every decision in your business logic
The system draws on company goals, products, customer profiles, tone of voice, and brand constraints, so every action ties to the company's actual strategy — not a generic industry playbook.
Connect without exports
The system connects to corporate and external sources — CMS, CRM, and others — so measurement, action, and validation run on a single data layer, without manual exports, duplicates, or shadow copies.
Each model has its own sources, language layer, and market context. So both measurement of position and the actions that strengthen it must be multi-model and region-aware.
ChatGPT
OpenAI
Perplexity
Perplexity AI
Gemini
Claude
Anthropic
DeepSeek
DeepSeek AI
YandexGPT
Яндекс
AI Search
Every step is measurable, tied to a choice scenario, and confirmed by the team at the critical points.
Daily snapshot across scenarios
The system captures daily how language models present the company, competitors, and choice scenarios voiced as different customer types (ICPs), through AI interfaces — not as one-off API requests.
What the model relies on
Each model answer is decomposed across a set of parameters, so you see which signals strengthen the company's position, what the model actually relies on, and where the gap opens between the company's market strength and how the AI environment represents it.
What moves position most
The system ranks actions by scenario coverage, signal weight, and expected impact on the company's position. Priority is set by real market effect, not by technical weight.
What to change to move position
The system brings each decision to the team for approval before launch and forecasts the expected effect of every action on the company's position in a given choice scenario.
Pre-launch review
The system brings critical changes to the team for approval and checks them against brand rules, product constraints, and legally sensitive requirements.
From position to outcome
After every action the system re-measures the shift in the company's position and ties it to commercial effect: access to choice, demand quality, and revenue trajectory.
All teams share one data and measurement layer. Each team gets its own decision level, scoped to role and task.
A Choice Control Index for strategic decision-making. One management view shows how the company participates in choice: position trend, the comparative gap against competitors, and the zones of commercial risk in the key market scenarios.
The team sees which materials, sources, and signals strengthen the company's position in choice scenarios — and which deliver no effect. The system ranks actions by expected market impact.
The team gains control over how language models describe the company, the products, and the leadership — which signals strengthen or distort perception, and how position changes after publications and communications work.
GolOps turns the AI environment from an unmanaged risk zone into a measurable layer of choice — with indices, action logic, and a verifiable commercial effect.
Before GolOps
With GolOps
We publish results that clients have approved. Extended versions on request, under NDA.
Oil and gas · International business
3% → 41%
share of choice in the AI environment
19 days to first inclusion in choice
A top-five Russian energy holding — invisible in global AI systems. Reversed in 90 days.
Government agency · Export
×12
faster new-market assessment
95% team autonomy
A federal agency reclaimed control of its image across global AI systems.
Healthcare · Premium · B2C · 5 months
×6
growth in LLM citations
#1 · ChatGPT + Yandex AI · 40+
A federal clinic network reached #1 in AI recommendations across 40+ medical scenarios.
Case · Energy · State corporation
«In six weeks GolOps moved us from a blind zone to a governed position in the AI environment — from 14% to 58% presence in the industry's priority choice scenarios. Until then it all looked like a manual trick. For the first time we saw a system you can take apart, tune, and actually move.»
CMOState corporation in energy
Data stored in Russia, audited actions, single sign-on, and support for your information security requirements
Client data stays in Russia. DPA and document exchange follow your security team's requirements.
Single sign-on through Active Directory, Keycloak, and SAML 2.0. 2FA and SCIM provisioning supported across the whole team.
A support team and daily automated backups in protected storage. Team operations do not stop.
Granular roles — Admin, Editor, Viewer, Audit. Every action is captured in an audit log with user, timestamp, and context. SIEM export uses your protocol.
We publish research, indices, and methodology that give the market a shared system for measuring how the AI environment shapes choice across companies, industries, and countries.
The GolOps Lab research center. We measure how AI shapes perception of companies, industries, and countries. Methodology and raw data are open.
6 models · 12+ industries
A live Choice Control Index of Russian export categories in AI recommendations. Seven models, key industries, refreshed quarterly.
$47.3B/year in lost trade
Interactive map of Russia's federal districts. Where Russian brands lose ground in AI answers to foreign and unnamed competitors.
6 of 8 federal districts unrecommended
An index diagnostic shows where your company drops out of choice, how you compare against competitors, and which scenarios already create commercial risk. First snapshot — in 10 business days.
NDA — signed when private data is shared.