GolOps

Infrastructure for governing choice in the AI environment

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

GolOps platform interface

AI channels are the new layer of commercial choice

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.

90%

of B2B procurement will be delegated to autonomous AI agents by 2028

Gartner, 2026

−25%

in traditional search traffic by 2026 in favor of AI channels

Gartner, 2025

×4.4

higher conversion from AI channels than from organic search

Semrush, 2026

A measurement, action, and control system for the AI environment

GolOps unifies everything needed to govern your company's position in the AI environment: indices, choice scenarios, team action, and validation of market impact.

Tied to commercial outcomes

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.

Scenarios by customer profile

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.

An open action and decision surface

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.

Company knowledge base

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.

An open integration surface

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.

Seven AI systems — one choice environment.

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

Google

Claude

Anthropic

DeepSeek

DeepSeek AI

YandexGPT

Яндекс

AI Search

Google

How GolOps turns choice scenarios into business outcomes

Every step is measurable, tied to a choice scenario, and confirmed by the team at the critical points.

01

Snapshot

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.

02

Attribution

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.

03

Prioritization

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.

04

Action

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.

05

Quality

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.

06

Effect validation

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.

One system — different levels of decisions

All teams share one data and measurement layer. Each team gets its own decision level, scoped to role and task.

CMO and the board

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.

Content and marketing teams

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.

PR and communications

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.

What changes when choice becomes governable

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

Choice in the AI environment stays unmanaged

  • The company's position in the AI environment stays unmanaged.
  • It is unclear which sources and signals actually shape choice.
  • The effect of publications and actions is not confirmed by measurement.
  • The team runs manual checks instead of a managed decision cycle.
  • Commercial losses start at the first shortlist, when the AI environment routes the customer to a competitor.

With GolOps

Choice in the AI environment becomes governable

  • The company's position in the key choice scenarios is captured daily.
  • Which sources shape choice — and which are priority for strengthening position — is known.
  • The effect of every publication shows up in the next model measurement.
  • Competitive position lives in one control center — no manual summaries, no scattered spreadsheets.
  • The team owns strategy and oversight; GolOps owns execution against the approved choice 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

Security, compliance, and infrastructure readiness

Data stored in Russia, audited actions, single sign-on, and support for your information security requirements

152-FZ compliance

Client data stays in Russia. DPA and document exchange follow your security team's requirements.

Enterprise SSO

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.

Role-Based Access Control

Granular roles — Admin, Editor, Viewer, Audit. Every action is captured in an audit log with user, timestamp, and context. SIEM export uses your protocol.

See how your company shows up in the AI choice layer

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.