Discover the first AI Visibility Tracker built for brand reputation.

Find out if ChatGPT, Claude and Gemini are helping or hurting the way people see you. Analyze how AI represents your brand across platforms in response to the questions that influence perception and trust across seven dimensions.

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Why does AI visibility matter for brands?

  • 90%

    B2B buyers use AI in purchasing

    Forrester

  • 75%

    Investors trust AI to support investment decisions

    BridgeWise

  • 75%

    Procurement Teams
    embed AI into their workflows

    Granicus

  • 50%

    Consumers intentionally choose AI over traditional search

    McKinsey

  • 50%

    Government Organizations use AI on a regular basis

    Procurify

Most of today’s searches start with AI.

People ask AI millions of questions every minute to speed research and support decision-making, yet most brands have no idea what those answers say about them.

If your brand isn’t mentioned, or if it’s portrayed inaccurately or unfavorably, that has serious implications for reputation and trust.

Most AI visibility tools are built for product marketers.

They can tell you if you show up, but they miss the nuance that communications and corporate affairs teams need to make strategic decisions. What does AI actually say about my brand? Is the response accurate? Is it fair? And how does it compare to my competitors?

We couldn’t find a tool to answer those questions well enough for our customers. So we built one.

3BL’s AI Visibility Tracker
is built for brand reputation.

Chart comparing two brands on each of the seven reputation pillars

A multidimensional view of AI visibility.

We score visibility against seven criteria used widely in academia and industry to measure corporate reputation and 29 thematic subtopics to reflect the range of questions people ask that shape how you’re perceived.

Ranked list of the sources AI cites, with your own network among them

Competitive benchmarking for crucial context.

Measure visibility alongside named competitors across the seven dimensions of brand reputation, from product and service quality, to innovation, corporate governance and community impact.

Chart of the share and tone of what AI says about each pillar

Questions that shape reputation.

Our prompt library includes thousands of queries tied to our seven-pillar framework for measuring AI impact on reputation and trust.

The detailed view brands need to make decisions.

Our framework measures all of the factors that add up to your overall reputation among core stakeholder groups.

The way someone rates a brand’s reputation is quietly built across a range of daily interactions—from news consumption and research to firsthand experiences and the things others say.

AI models learn from and retrieve those same public signals when they answer questions, and what they say in response influences how the user sees the brand—creating a feedback loop that is quickly transforming how brands are perceived in ways many don’t yet realize.

  • The core business

    Products
    & Service

    • Customer experience
    • Data security & privacy
    • Product & service quality
    • Product failures & recalls
    • Value for money

  • The vision

    Leadership

    • CEO & leadership reputation
    • Clear vision for the future
    • Excellent managers
    • Lobbying & political activity
    • Well-organized company

  • The books

    Financial
    Performance

    • Growth prospects
    • Profitability
    • Results vs expectations

  • The people

    Workplace

    • Compensation, benefits & pay equity
    • Diversity, inclusion & career development
    • Employee health, safety & well-being

  • The future

    Innovation

    • AI & technology use
    • First to market
    • Innovative company
    • Response to industry change

  • The standards

    Conduct &
    Governance

    • Business ethics & anti-corruption
    • Controversies & crisis response
    • Disclosure & transparency
    • Fair competition & business practices

  • The footprint

    Citizenship &
    Impact

    • Climate change
    • Community investment & giving
    • Environmental impact
    • Human rights & supply chains
    • Impact on society

The topics and questions that shape corporate reputation.

See how ChatGPT, Claude, Google Gemini, and Perplexity respond when people ask key questions about your industry and your brand’s credibility.

Dot matrix comparing Northcrest with two peers on each Products and Service subtopic
  • Discover how people find you. Analyze visibility by platform and topic to see how people find you compared to your competitors.
  • Audience tagging for a full view of how AI influences your reputation across core stakeholder groups.
  • Custom prompts to go further. Create and track your own custom prompts for maximum alignment with your goals and target audience.
  • Go beyond generic prompts. Our query library is built around real industry topics and the questions that actually influence stakeholder perception, curated by experts and informed by customer feedback.

    Every prompt is tagged by the audience most likely to ask it, such as investors, talent, consumers or media, for a comprehensive view.

Ranked list of the sources AI relies on, with Northcrest third on 313 citations

Detailed citation maps show you the sources AI relies on.

Track the sources AI platforms reference most when they talk about your brand, broken down by topic so you can see who’s driving the conversation and fill in the gaps.

  • Track the top pages on your website. See which sections of your website and other owned properties are driving the most citations on AI platforms.
  • Identify the independent sources influencing how you’re perceived. Spot the third parties cited alongside your brand across topics.
The same sentence scored two ways: 3BL’s context-aware model reads it as positive, a keyword tool flags it negative

Favorability tracking that actually works.

Most sentiment tools are keyword counters. They see a negative word near your brand and flag it as negative sentiment. That’s a blunt instrument, and for a communications team dealing with complex and high-stakes topics, it’s often just wrong.

  • Track favorability by platform and topic for a complete view of how AI portrays your brand.
  • 3BL’s AI Favorability Model doesn’t simply reflect positive or negative keywords. It’s smart enough to tell how a brand is being discussed, even when AI responses also mention problems or include words that other trackers would classify as “negative.”

Evidence behind every number.

Don’t trust a black box. Click through to see the AI responses behind every score, finding and classification in your dashboard.

Three questions asked of Anthropic, OpenAI and Google, each with the answer’s opening lines and its tone: positive, mixed, positive

We don’t just measure visibility. We drive it.

3BL puts corporate stories in front of real audiences on the trusted channels that shape reputation and drive AI visibility. When the tracker shows you a citation gap, we can help you close it.