AI Discoverability: A New Way to Control What AIs Say About You

In the new era of conversational computing, your stakeholders’ first touchpoint is no longer a search engine, it’s an AI. When your investors, customers, policymakers, or future employees ask ChatGPT, Gemini, or Copilot a question about you, what do they hear?

The AI’s best guess… or your verifiable truth?

AI Discoverability Isn’t Just Marketing. It’s Enterprise-Wide Strategy.

Because our methodology is integrated across our entire agency, it delivers value far beyond the marketing department.

• For Crisis: You don’t want an AI “guessing” your side of the story. Our framework ensures your verified truth is the foundational data set.
• For Public Affairs: When a policymaker asks an AI to summarize a complex issue, your nuanced position is what it finds.
• For Management Consulting: The “Conversational Journey” audit reveals what your market truly thinks, providing invaluable data for your next business strategy.

This is why AI Discoverability matters now across your C-suite.

Don’t React to AI. Teach it.

Right now, your brand, reputation, and core value proposition are being defined for you by a black box. It’s time to take control.

The “Platform-First” Trap: Why GEO and AIO Aren’t Enough

Other agencies are now selling “Generative Engine Optimization” (GEO) or “AI Optimization” (AIO). These are tactical, “platform-first” approaches.

They start by auditing what an AI gets wrong and then react to it, scrambling to fix errors with a flurry of PR hits or basic schema recommendations. This is a reactive game of ‘whack-a-mole’ you will never win, because you are always one step behind the algorithm.

Reacting to the bot is a losing strategy. Teaching the bot is the only way to win.

The Tunheim Solution: A Stakeholder-First Approach

We’ve built a different, more powerful methodology. We don’t start with the platform; we start with your stakeholders.

We believe you cannot influence a machine until you deeply understand the human who is using it.

Our AI Discoverability service is a strategic, C-suite process that architects your company’s foundational truth. We’ve mastered this approach by developing a unique, proprietary process: The “Stakeholder-to-Syntax” Pipeline.

1. Stakeholder Intelligence: We begin with the deep, human-centric research that defines our agency. We build robust personas and map the entire conversational journey of your key stakeholders, from buyers and investors to policymakers and potential hires.
2. Concept Optimization: We use that intelligence to build the foundational “Knowledge Graph” for your brand. This is your conceptual truth, your expertise, your executive voices, and your position in the market. It becomes the official “answer key” for the AI.
3. Technical Execution: We translate this strategic blueprint into the native, machine-readable language of AI (Schema.org / JSON-LD) and deploy it directly onto your owned properties. We don’t just “recommend” schema; we architect it.
4. Ecosystem Validation: Finally, we use our full-service media, digital, and public affairs expertise to validate this truth across the entire digital ecosystem—from the high-authority earned media that AIs trust to the critical databases like Wikidata that form their training data.

This Isn’t Our First Algorithm

For 30 years, Tunheim has guided the world’s leading organizations through the algorithms that control information flow.

• We mastered email spam filters to get your message delivered.
• We mastered Google’s search rankings to get your brand seen.
• We mastered social media feeds to get your story told.

Generative AI is just the next, most complex, evolution. We provide Algorithmic Resilience based on a pattern of adaptation we’ve proven for three decades.

Stop chasing the algorithm. It’s time to teach it.
Architect your AI Discoverability framework.

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Brand discovery is undergoing a seismic shift. 

Generative AI and Large Language Models (LLMs) like ChatGPT and Gemini are no longer just futuristic concepts; they are rapidly becoming the go-to sources for answers, recommendations, and even initial brand discovery for millions worldwide. 

The global conversational AI market was projected to expand from $12.24 billion in 2024 to $61.69 billion by 2032. More specifically, the chatbot market, valued at $7.01 billion in 2024, is anticipated to reach $20.81 billion by 2029, growing at a Compound Annual Growth Rate (CAGR) of 24.32%.

A YouGov poll indicated that 56% of Americans use AI tools, with 28% using them at least weekly. Another survey found that 88% of people had engaged in at least one conversation with a chatbot in the past year.

Statista data projects that the number of AI tools users globally will grow from 115.90 million in 2020 to a projected 729.10 million by 2030, with an estimated 378.80 million users by 2025.This adoption is having an effect on search engine referrals, as Axios reports:

Additionally, social media channels have been imposing link penalties for years that suppress website traffic.

Lastly, we are seeing generative AI technology increasingly being integrated into everything, from coding tools to social media platforms.

As a Chief Marketing Officer, if you’re not asking how your brand appears in these AI-driven conversations, you are overlooking a critical factor in your future success.

It’s time to consider an AI Brand Visibility Audit.

This isn’t just another tech trend to monitor; it’s a fundamental change in how audiences will find and form opinions about your organization.

An AI audit is a crucial component of preparing for AI Visibility; it is your first essential step to understanding and navigating this new terrain. It’s about looking under the hood to see how your brand is currently reflected, understood, and communicated by these influential AI systems.

The Silent Storyteller: How AI Is Shaping Your Brand Narrative (Whether You Know It or Not)

Every day, individuals turn to LLMs for quick summaries, complex explanations, product comparisons, and solutions to their problems. The responses they receive are shaping perceptions and influencing decisions, often without them—or you—realizing the full extent of the AI’s influence.

Think about it:

• When someone asks an LLM about the “best solutions for X industry problem,” is your company mentioned?
• If a potential customer queries an AI about your products, is the information accurate, up-to-date, and reflective of your core messaging?
• What sentiment is conveyed when your brand is discussed in AI-generated text?

The challenge is that LLMs can sometimes be a “black box.” Their training data is vast, and the algorithms complex. Without a deliberate effort to investigate, you might be operating in the dark, unaware of how your brand is being portrayed or, critically, if it’s being overlooked entirely. This is where an AI audit becomes indispensable.

AI Visibility Research is a Strategic Imperative for Today’s CMO

For forward-thinking marketing leaders, conducting an AI Audit isn’t just a box-ticking exercise; it’s a strategic imperative with tangible benefits:

1. Safeguard Your Brand Reputation: Your brand identity is meticulously crafted. An AI audit helps ensure that AI platforms are reflecting your story accurately. Are there outdated facts, misinterpretations of your mission, or a negative sentiment skewing how your brand is perceived? Early detection is key.
2. Understand the Evolving Customer Journey: The path to purchase is no longer linear, and AI is introducing new touchpoints. An AI audit provides insights into how your target audience might encounter your brand (or your competitors) during their AI-assisted research and discovery phases. This helps you understand your presence—or absence—at critical decision-making moments.
3. Gain Competitive Intelligence in the AI Arena: How does your brand stack up against competitors when AI is the interrogator? An AI audit can reveal if competitors are being more favorably positioned or more frequently mentioned for relevant industry queries, giving you vital intelligence to refine your strategy.
4. Proactive Risk Management: Misinformation, negative narratives, or even subtle biases in AI-generated content can emerge. An AI audit acts as an early warning system, allowing you to identify and strategize responses to potential reputational threats before they escalate.

Build the Foundation for AI Discoverability: You can’t optimize what you haven’t measured. An AI audit provides the crucial baseline understanding of your current AI visibility. These insights are fundamental to any subsequent efforts to enhance how your brand is discovered, understood, and ultimately recommended by AI systems. This is the core of what AI visibility research aims to achieve.

What Key Insights Does an AI Visibility Audit Deliver?

While the specific methodology of an AI audit can be detailed, the objective is clear: to provide you with a comprehensive picture of your brand’s standing within the AI landscape. Key areas of illumination include:

• Information Accuracy: Verification of core company details, product/service information, leadership, and other factual data as presented by LLMs.
• Brand Messaging & Tone Alignment: Assessment of whether the AI’s portrayal resonates with your official brand voice, values, and key marketing messages.
• Sentiment Analysis: Understanding the overall emotional tone (positive, negative, neutral) associated with your organization in AI-generated content.
• Visibility & Discoverability Gaps: Identifying if, and how, your organization appears for relevant keywords, industry topics, and problem/solution-based queries. Are there significant omissions?
• Competitive Positioning: A snapshot of how your organization is represented in comparison to key competitors within AI responses.

These insights form the bedrock of a robust strategy to enhance your organization’s presence in this emerging AI-driven ecosystem.

From Visibility Audit to Action: The CMO’s Strategic Advantage

The findings from an AI audit are not just interesting data points; they are actionable intelligence that should directly inform your strategic planning. As a CMO, this research empowers you to:

• Refine Content Strategy: Identify content gaps or areas where your existing materials aren’t being effectively surfaced or understood by AI. This can guide the creation of new, AI-friendly content or the optimization of current assets.
• Enhance SEO & Digital Footprint: Remember, LLMs are often trained on the vast expanse of web content. Insights from an AI audit can provide a new lens for your SEO and digital presence strategies.
• Inform PR & Communications: Equip your communications team to address any inaccuracies or negative sentiment discovered, and to proactively shape the narrative.

Future-Proof Your Brand: By understanding and adapting to how AI influences perception and discovery, you position your brand for sustained relevance and growth.

Take Control of Your AI Narrative

The rise of AI in information discovery is undeniable. As a CMO, you have an opportunity to be proactive. An AI audit is more than just a technical check; it’s an investment in your brand’s future, ensuring you are not just a passive subject of AI conversations, but an active participant in shaping your narrative.

Understanding your current AI visibility is the crucial first step. It’s time to ask the critical questions and seek the data that will empower you to navigate the AI revolution with confidence and strategic foresight. Is your organization prepared? Tunheim can help.

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