BrandWise

BrandWise

Evidence-backed AI visibility tracking

Understand how AI models represent your brand before the market absorbs the narrative.

BrandWise helps brand and digital teams measure brand presence in LLM answers, compare results across models, and review reports grounded in real evidence quotes.

Why this matters

AI answers are shaping perception, but most teams still lack measurement.

Brand visibility is becoming a blind spot

Teams know customers ask LLMs for recommendations, yet cannot see where the brand is shown, omitted, or displaced.

Mentions alone are not enough

You need to understand whether the answer reflects your intended positioning, not just whether the name appears.

Different models produce different narratives

Without scenario-based comparison, it is difficult to know which models elevate your brand and which favor competitors.

How it works

A simple operating flow for recurring AI brand checks.

01

Create a project

Set up a workspace for a brand or client account.

02

Define the brand

Add naming variations, positioning, tone of voice, attributes, and competitors.

03

Configure scenarios

Build intents, choose models, and add personas for multi-turn history runs when needed.

04

Run and review reports

Compare outputs across models and inspect evidence-backed metrics at scenario, model, and item level.

Metric framework

Six metrics built for brand decisions, not vanity dashboards.

Visibility

How prominently the brand appears in the answer.

Relevance

How well the mention matches the user intent and context.

Positioning Match

How closely the answer reflects your intended positioning.

Usefulness

Whether the mention helps the user act on the recommendation.

Top of Mind

Whether the brand is recalled ahead of competitors.

Consideration

Whether the brand makes the shortlist for evaluation.

Why teams trust the output

Scores backed by evidence, model comparison, and report depth.

BrandWise is designed to produce usable reporting: compare models side by side, inspect the exact evidence behind a score, and move from scenario overview to detailed run items without losing context.

Model comparison

OpenAI

Strong visibility, weaker consideration

84

score

Anthropic

Balanced profile, stronger positioning

79

score

Google

Lower mention rate, late placement

61

score

Report depth

Scenario, model, item, competitor item, and brand Top of Mind views

Evidence quotes tied to the dialog text

Saved views, filters, sorting, and flexible report columns

Who it is for

Built for teams that need repeatable AI brand measurement.

Brand and digital teams

Monitor how AI systems describe the brand, compare models, and track movement in visibility or positioning quality.

Agencies managing multiple brands

Run separate projects for clients, keep reporting structured, and compare representation patterns across accounts.

Team readiness

Structured for operational use, not just one-off screenshots.

Projects and roles

Separate workspaces, project access, and invite flows for distributed teams.

Billing control

Account-level AI Credits, project linkage, and run-level billing guardrails.

Run lifecycle visibility

Track completed, partial, failed, and billing-stopped runs with email notifications.

Start measuring

See how AI already talks about your brand.

Create a project, define your brand profile, run a scenario, and review a report with concrete evidence instead of guesswork.