AI
AI Visibility service

AIV: visibility analytics for LLM answers and AI search

People increasingly ask ChatGPT, Gemini or Perplexity for advice instead of a search engine. In those answers your brand is either present or not. AIV measures brand visibility in AI answers and AI search and helps you grow it.

AI Visibility is a new discipline at the intersection of AEO and GEO: brand visibility in generative answers, knowledge sources and model recommendations.

Fill out the briefSee the methodology
AIV / 15

Metrics pyramid

Fifteen metrics do not collapse into a single score. Each answers a different management question, from baseline presence to the ability to manage AI visibility systematically.

Choose a metric to open its method, reference points and the practical next step.

L5

TRANSFORMATION

Strategic transformation

Key questionAre we ready for an AI-first world?
L4

OPTIMIZATION

Fine-tuning and optimization

Key questionHow do we maximize each channel and intent segment?
L3

DIFFERENTIATION

Differentiation and positioning

Key questionHow are we different, and how are we positioned against competitors?
L2

STABILIZATION

Quality characteristics of presence

Key questionHow strong, stable and influential is our presence?
L1

FOUNDATION

Baseline characteristics of AI-answer visibility

Key questionDo we exist in AI space, and which sources does that knowledge rely on?
AIV / OPERATING SYSTEM

Operating stack

From a model answer to a clear change plan. Every stage leaves a verifiable artefact, not just a set of observations.

  1. 01
    Output

    Measurement

    We capture metrics across 7 models on real queries and record where the brand appears, disappears or gets distorted.

    a presence snapshot
  2. 02
    Output

    Benchmarking and Win Rate

    We compare answers against competitors, calculate AI Win Rate and see which scenarios make models choose someone else.

    a comparison map
  3. 03
    Output

    INTENT mapping

    We split queries by intent: category research, comparison, purchase, support and local choice.

    priority scenarios
  4. 04
    Output

    Sources

    We identify authoritative and influential sources that shape model answers about your category and brand.

    a list of influential sources
  5. 05
    Output

    GEO growth

    We prepare content, technical signals and external sources so models rely on accurate brand data more often.

    a GEO growth plan
AIV / ROUTE

Visibility snapshot → priorities → action plan → regular monitoring

AIV / SUITE

Modules

This is not a linear package: start with an audit, GEO work or monitoring, depending on the question that matters most now.

01
research

AIV Research

A deep audit: how 7 models see your brand across 300+ real queries. Tone, factual accuracy, competitor comparison, the sources models rely on. You get a map of opportunities with priorities.

What it givesa clear opportunity map
02
geo

AIV GEO

A unified AIV/GEO track: technical content preparation for AI crawlers, source reinforcement, answer-ready content and runwai service delivery for visibility growth.

What it givesaccurate signals for models
03
flow

AIV Flow

A live dashboard: metric dynamics, alerts when answers change, reports without manual assembly.

What it giveschange control without manual reporting
AIV / CHECKER · Engineering tool

AI Visibility Checker. Does your website let AI in the door?

Before managing model answers, check the basics: can AI crawlers see your website at all. Checker visits your site as the real bots of OpenAI, Anthropic, Perplexity, DeepSeek and Google, and shows who gets the content and who hits the wall.

A hands-on tool of the RW+ and Runway AI ecosystem. Born from our own GEO audit practice.

Start the checkaicheck.runwai.ru
What it checks
  • Server responses to every bot: statuses, redirects, headers, TLS
  • robots.txt rules versus the site's actual behaviour
  • WAF, captchas, geo-blocks and anti-bot filters that eat AI traffic
  • How much text is available without executing JavaScript
  • Control measurements with a regular browser profile

The result: a reproducible bot × domain matrix with raw data, plus a report on what to fix first.

AIV / CONTACT

Check how AI models see your brand

We will review the category, competitors and first queries. If a full AIV audit is not needed, we will say so directly.

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