What is BrandWise — AI Brand Visibility Monitoring

Why track your brand in AI responses

People increasingly turn to ChatGPT, Claude, Gemini, and other AI models with questions like "which service should I choose", "what's best for X", or "recommend a solution for Y." AI models don't just list options — they provide specific recommendations with reasoning, compare products, and shape user opinions before anyone visits your website.

This is a fundamentally new channel for brand perception. In search results you control snippets and ads; in AI responses you have no control. You don't know where your brand ranks, what's being said about competitors, or whether the description matches your positioning.

BrandWise solves this problem. The platform measures AI brand visibility and gives your team actionable data instead of guesswork.

How BrandWise works

The brand evaluation process in AI models consists of several steps:

1. Create a scenario — a set of questions (intents) that real users ask AI models. For example: "What's the best CRM for small business?", "Compare Notion and Coda", or "Recommend a restaurant in downtown London."

2. Select AI models for testing: OpenAI (GPT-4o, o3-mini), Anthropic (Claude), Google (Gemini), DeepSeek, Yandex (YandexGPT), GigaChat, Mistral, and more.

3. Run an evaluation — the platform sends each intent to the selected models, collects responses, and analyzes each one across 6 metrics.

4. Review the report with scores for each metric, a model heatmap, and evidence quotes — verbatim excerpts from the model's response that justify every score.

BrandWise supports two operating modes:

• Basic — single-turn queries where each intent is sent as a standalone question.
• History — multi-turn conversations with a persona, simulating real user behavior (e.g., follow-up questions after the initial response).

Results are compared across models, scenarios, and time periods — you see not only the current picture but also trends: how your brand presence in ChatGPT, Claude, and other models changes over time.

6 metrics for evaluating brand presence in AI responses

Each metric is scored on a 0–100 scale and backed by evidence quotes — verbatim excerpts from the model's response. Together they provide a complete picture of how AI represents your brand.

Visibility — brand prominence

How prominently the brand appears in the response. Two factors are considered:

• Mention position (70% weight): recommended first (1.0), in the top list (0.8), in the middle (0.5), near the end (0.2)
• Detail level (30% weight): name only (0.2) → one reason (0.5) → multiple reasons (0.8) → dedicated section (1.0)

Formula: Visibility = 100 × (0.7 × position + 0.3 × detail)

Relevance — contextual fit

How well the brand mention matches the user's query. Evaluated across several components:

• Eligibility — Eligible, Unclear, or Not Eligible
• Intent alignment (0–2) — does the mention address the user's question
• Constraint alignment (0–2) — are budget, geography, and requirements addressed
• Justification quality (0–1) — is the mention backed by reasoning

Positioning Match — brand message accuracy

Whether the model's response reflects the brand's intended positioning. In the brand profile you specify desired attributes with weights from 1 to 5 (e.g., "premium service" — weight 5, "fast delivery" — weight 3). Each attribute in the model's response is evaluated as supported, contradicted, or not mentioned.

Formula: PM = 100 × (supported_ratio − 0.7 × contradicted_ratio)

Usefulness — recommendation quality

Whether the brand mention helps the user make a decision. A rubric of five components:

• Specificity (0–2) — how detailed the product description is
• Actionability (0–2) — can the user act on the recommendation immediately
• Selection criteria (0–2) — does the response help compare options
• Clarity (0–1) — how clearly the information is presented
• Trade-offs (0–1) — are limitations and compromises mentioned

Formula: Usefulness = 100 × (sum / 8)

Top of Mind — recall priority

Whether the model recalls your brand before competitors. The metric considers:

• Brand position: 1st → 1.0, 2nd → 0.75, 3rd → 0.55, 4th+ → 0.35
• Competitor penalty: −0.05 per mentioned competitor (maximum −0.20)

Consideration — shortlist inclusion

Whether the brand makes the shortlist for evaluation. Two components:

• Shortlist presence (60% weight) — is the brand mentioned among recommended options
• Advantage detail (40% weight) — how thoroughly the reasons for choosing it are described

Key BrandWise concepts

Who is BrandWise for

Brand teams and digital marketers

• Brand monitoring in ChatGPT and other models — how AI represents your brand right now
• Model comparison — which model recommends your brand better, where you lose ground
• Trend tracking — how AI brand visibility changes over time
• Competitive analysis — who models recommend instead of you and why

Agencies

• Separate projects for each client with independent billing
• Team access with roles (admin / user)
• Structured reports for comparing representation patterns across accounts

How BrandWise differs from mention monitoring

Get started now

Create your first project, set up a brand, and run an evaluation — the entire process takes about 10 minutes.

Step-by-step guide: your first project in 10 minutes

Create an account and start