◆Domain Domain Stable

AI Visibility

Managing how - and how favourably - AI systems represent your brand across the decision journey.

ID
SS-DM-007
Version
1.0
Confidence
Established · 74
Evidence
Emerging
Updated
2026-07-08
Review
2026-09-08

Purpose

Overview

AI Visibility treats the way AI systems talk about your brand as a managed surface. It spans the AI Visibility Score (brand-safe, decision-stage citation weighted by sentiment, position and provenance), the levers that move it, and the ongoing work of correcting how models describe you. Where GEO wins the citation, AI Visibility governs the whole representation.

Business problem

The brand is mentioned by AI, but inconsistently, incompletely or less favourably than competitors - and no one owns fixing it.

KPIs for this domain

  • AI Visibility Score
  • Visibility Confidence Score
  • Share of model vs competitors
  • Sentiment of AI mentions

Inside this domain

Capabilities 1

◈Capability 73 AI Visibility Optimisation Improve how often, how prominently and how favourably AI systems represent your brand across the buyer journey.

Frameworks 2

▤Framework 73 AI Visibility Framework A programme for moving the AI Visibility Score across engines through citation, authority and monitoring. ▤Framework 74 AI Answer Monitoring Framework A structured method for tracking how AI answer engines describe, cite and recommend a brand over time.

Decisions 2

⌥Decision 75 Should I optimise for AI visibility? When to invest specifically in being cited by AI answer engines. ⌥Decision 76 Should I optimise for Perplexity specifically? When you are weighing engine-specific GEO work for one AI answer engine over broad citability.

Guides 2

▶Guide 74 How to grow your share of model in AI answers Increase how often AI models name and recommend your brand across the buyer questions that matter. ▶Guide 75 How to build entity signals so AI models recognise your brand Establish consistent entity signals so AI models reliably recognise, resolve and trust your brand.

Definitions 9

§Definition 81 ChatGPT OpenAI's conversational AI assistant, one of the most widely used answer engines and a major source of AI-driven brand discovery. §Definition 78 Google Gemini Google's family of multimodal large language models, powering its Gemini assistant and AI Overviews in Search. §Definition 77 Microsoft Copilot Microsoft's AI assistant, grounded in Bing search and embedded across Windows, Edge and Microsoft 365. §Definition 77 Claude Anthropic's AI assistant, known for careful reasoning and long-context comprehension, increasingly used with live web search. §Definition 72 Grok xAI's conversational assistant, integrated with X and able to draw on real-time posts as well as web sources. §Definition 80 Hallucination When an AI model states something false or fabricated with apparent confidence, as if it were fact. §Definition 79 Share of Model The proportion of relevant AI answers in which your brand is mentioned, relative to competitors. §Definition 76 Model Training Data The large corpus of text an AI model learned from, which shapes what it knows and how it describes brands. §Definition 78 Knowledge Cutoff The date after which an AI model has no built-in knowledge, unless it retrieves current information at query time.

Recommended next steps

    See the wider capability AI Visibility Optimisation Capability → Apply the method AI Answer Monitoring Framework Framework → Follow the step-by-step How to build entity signals so AI models recognise your brand Guide →