AI Brand Visibility by Traclux

AI visibility,made measurable

When consumers ask ChatGPT, Claude, Gemini, or Perplexity about your category, Traclux measures AI visibility, mention rate, and recommendation rate so brand asset work can be backed by evidence.

Brand Signals

How is your brand
being answered by AI?

01

Fragmented answers

For the same brand query, one AI may recommend Brand A, another may recommend Brand B, and a third may not mention you at all. Brand answers are no longer decided by a single search result.

02

No early warning for risk

AI answers can attach outdated information, misunderstandings, or negative context to your brand name. By the time a user sends a screenshot, the issue has often been live for a while.

03

Unclear content ROI

After PR, creator, and SEO campaigns, it used to be hard to verify whether those assets entered AI source material or changed recommendation behavior.

AB
04

Competitor position is hidden

When consumers ask which brands to choose, teams need to see who enters the Top 3, who is missing, and which sources support each recommendation in one view.

Three KPIs

Three numbers
quantify your AI mindshare position.

metric.card
1AI visibility
2
3Probability of entering model answers
4Coverage: brand / category / scenario terms
5Value: judge whether mindshare is stable
Traceable
Methodology

Every number
can be traced down.

Every KPI is more than a standalone number. It can return to the original probe, expose the calculation logic, and become part of the brand's long-term knowledge asset layer.

Origin
Return to probes and run batches
Formula
See how metrics are aggregated
Memory
Enter the knowledge asset layer
Trace ChainEvidence ready
Prompt
Real consumer-intent question
01
Answer
Complete model answer
02
Source
Cited source and URL
03
Brand
Brand mention and recommendation position
04
Competitor
Same-field competitor comparison
05
Trend
Long-term trend record
06
Action Loop

Finding data
is only the start.

Actionable|--:--:--
Gap
Find gaps

See which topics do not mention you and which recommendation scenarios are occupied by competitors over time.

Source
Locate sources

Find which web pages, media, Q&A, and content assets AI mainly uses to understand the category.

Rival
Compare rivals

Place leading brands and direct competitors in the same result set to see where the gap comes from.

Asset
Build assets

Return to your website, PR, Q&A, and case content to add brand evidence where AI systems are likely to look.

Model Coverage

Cover the AI entry points
consumers actually use.

Start with the AI assistants and answer engines your overseas customers already use. Sampling the same probes across surfaces reveals where your brand is visible, missing, or misread.

ChatGPT
OpenAI answer engine
Claude
Anthropic assistant
Gemini
Google AI assistant
Perplexity
AI search engine
Microsoft Copilot
Bing-connected assistant
Google AI Overviews
Search answer surface
Meta AI
Consumer assistant
Grok
Real-time answer surface
Industry terms
Category questions
Scenario terms
Consumer intent
Competitor terms
Comparison analysis
Brand terms
Reputation tracking
ChatGPT
OpenAI answer engine
Claude
Anthropic assistant
Gemini
Google AI assistant
Perplexity
AI search engine
Microsoft Copilot
Bing-connected assistant
Google AI Overviews
Search answer surface
Meta AI
Consumer assistant
Grok
Real-time answer surface
Industry terms
Category questions
Scenario terms
Consumer intent
Competitor terms
Comparison analysis
Brand terms
Reputation tracking
Brand terms
Reputation tracking
Competitor terms
Comparison analysis
Scenario terms
Consumer intent
Industry terms
Category questions
Grok
Real-time answer surface
Meta AI
Consumer assistant
Google AI Overviews
Search answer surface
Microsoft Copilot
Bing-connected assistant
Perplexity
AI search engine
Gemini
Google AI assistant
Claude
Anthropic assistant
ChatGPT
OpenAI answer engine
Brand terms
Reputation tracking
Competitor terms
Comparison analysis
Scenario terms
Consumer intent
Industry terms
Category questions
Grok
Real-time answer surface
Meta AI
Consumer assistant
Google AI Overviews
Search answer surface
Microsoft Copilot
Bing-connected assistant
Perplexity
AI search engine
Gemini
Google AI assistant
Claude
Anthropic assistant
ChatGPT
OpenAI answer engine
Trust

Not guesswork.
A reviewable evidence chain.

Traclux does not stop at a single score. It breaks out the questions, answers, citations, and competitor positions behind the score so brand teams can review, explain, and act.

PromptAnswerSourceCompetitorTrend

Compliant data collection

Generate probes from real consumer intent and call public APIs without scraping or bypassing platform rules.

In-house simulation engine

Organize brands, categories, scenarios, and competitors into repeatable question spaces.

Large-scale sampling

Generate probe sets by brand, category, and topic, then monitor them across models against industry baselines.

Traceable output

Every KPI can drill down to prompts, answers, and citation paths, reducing black-box anxiety.

Product Demo

Real platform,
real data.

The landing page keeps three screenshot slots: overview, source tracing, and competitor comparison. Once product screens stabilize, these placeholders can be replaced directly.

Real product screenshots

Use placeholder cards first, then replace them with stable 5.0.3/5.0.4 product screens.

Data lineage cards

Every number can return to probes and answers.

Competitor comparison

Compare your brand and competitors in the same model result set.

Demo access available

Useful for first evaluation and business conversations.

[Screenshot placeholder: AI visibility overview]
KPI cards
7-day trend line
Model performance comparison
Current brand status summary
Scenario Proof
01 / 04

"After the first run, we realized leading brands had already taken most AI recommendation slots in high-potential scenario terms."

H

Home commerce group

Brand growth team, Kitchen and bathroom category

Key finding

Found 3 high-potential scenario groups

Proven across these scenarios

Home commerceEducationB2B SaaSCross-border DTCLocal servicesDealer groupsBrand agenciesContent teams
Home commerceEducationB2B SaaSCross-border DTCLocal servicesDealer groupsBrand agenciesContent teams
Pricing

Transparent pricing,
metered by probes

Plans include monthly credits and support add-ons when credits run out. Every consumption record can return to probes, run batches, and result evidence.

Core tracking service
01

Starter

For small and mid-sized brands testing the water

¥299/mo
  • 1,500 included credits / month
  • 1 brand space
  • Coverage for 3 models
  • 2 account seats
  • 3 months of history
  • Credit add-ons supported
Start Starter
Recommended
02

Standard

Recommended for mid-sized brands

¥999/mo
  • 6,000 included credits / month
  • 3 brand spaces
  • Coverage for 5 models
  • 5 account seats
  • 12 months of history
  • Credit add-ons supportedExtra 5% off
Start Standard
03

Pro

For larger customers and multi-brand teams

¥2999/mo
  • 20,000 included credits / month
  • 10 brand spaces
  • Coverage for 5-8 models
  • 10 account seats
  • 24 months of history
  • Credit add-ons supportedExtra 15% off
Start Pro

Add-on pack: ¥99 = 300 credits. Enterprise plans support 50,000+ credits, white label, API, SSO, and SLA. Contact sales

See what your brand
looks like in AI.

Start with one brand space and run real probes to see how AI mentions, recommends, and misreads you.

Public beta plans and custom business packages supported