AI speaks for your brand.
Are responses on-brand?
As Seen by AI© gives brands the structure to control how AI reads and represents them — across owned, external, and earned channels.
We don't count how many times your brand shows up in AI.
AI is stochastic. Counting mentions is measuring noise.
Randomly determined; having a random probability distribution or pattern that may be analyzed statistically but may not be predicted precisely.
The same question asked to the same AI system produces a different answer. Share of voice in AI responses, ranking positions, mention counts are impossible to be measured accurately.
You can't measure this the way you've measured everything else.
AI responses are generated privately, in the moment, for one person. You will never see what your customer was told, for example, in ChatGPT. There is no log, no transcript, no after-the-fact record to audit. Every response is stochastic — uniquely generated and never repeated. Any tool claiming to measure your brand's AI presence is approximating something that was never visible to begin with.
Shapes the source material
Ensures AI systems have access to accurate, structured, current brand content — so when they do answer, they get it right.
- Audit across owned, external & earned
- Gap analysis between brand truth and AI's version
- Actionable plan to close the gaps
When AI speaks for a brand, here is how it shapes its response.
Scans thousands of sources
Drawing from its training data, live web sources, and connected knowledge — a multidimensional process with countless variables.
Brings together unrelated pieces
Disconnected information from disconnected sources, synthesized into a single answer.
Adjusts to user intent
Every response is shaped by how the question is asked. No two answers are the same.
No one sees it but the user
The response is private, ephemeral, invisible to you. You never know what your customers were told.
Your brand doesn't just become shaped from across thousands of sources, it gets defined by the stochastic, random nature of AI. That is why it is critical to have the right foundation across channels so that you own the brand narrative.
You can't control AI's answers. But you can control what it has to work with.
This too requires a mindset shift. AI doesn't just read your brand in the moment someone asks a question — it draws from training data, live indexing, and the full landscape of content connected to your brand. A multidimensional process that pulls from three types of sources. When the right foundation is in place across all three, AI has what it needs to represent your brand accurately. When there are gaps, AI fills them on its own.
Owned
Your website, brand documents, product content, help center. The sources you control directly.
External
Partner content, directory listings, third-party sources, industry databases. Content that references your brand but that you don't own.
Earned
Press coverage, reviews, forum discussions. The public conversation about your brand.
Built for brands that can't afford
to let AI get it wrong.
CMOs and brand strategists
You're responsible for how the brand shows up everywhere. AI is now one of those places — and unlike paid media, you can't buy your way to the right answer. You have to build it.
Transformation and strategy teams
You're leading the organization through a shift that touches brand, technology, and operations. AI readability isn't a marketing task — it's a structural one that needs cross-functional alignment.
Agency partners
Whether you advise on strategy, content, or creative — your clients need a concrete framework for how their brand shows up in AI. This gives you something structured to deliver, not a vague conversation.
Publishers
Your content and structure directly shape how AI systems represent the brands you work with. Understanding whether your platform is designed for AI readability is becoming a competitive advantage.
Give AI the right foundation for your brand.
Every engagement starts with a conversation. We'll look at how your brand is structured across owned, external, and earned channels — and where the gaps are that AI is filling on its own.
As Seen by AI© is an Intentful product — a structured framework for shaping how AI systems read your brand across owned, external, and earned channels.
Unlike AI monitoring tools that track how often your brand appears in large language model responses, As Seen by AI focuses on ensuring AI systems have access to accurate, current, and structured brand content. AI is stochastic — the same prompt produces different outputs each time — which means measuring mention frequency captures noise, not signal.
The engagement includes a channel-by-channel analysis of how your brand is currently structured for AI — across owned properties, external platforms, and earned content. You'll receive specific recommendations for closing the gaps between your brand truth and what AI is generating on its own, along with quarterly updates as models retrain and the landscape shifts.
Intentful has been commercially deployed since 2021. For guidance on whether As Seen by AI is the right starting point for your organization, please contact us.