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Brand Visibility in AI Searches
Track where your brand is being mentioned, and where it’s being missed across top AI platforms.
Prompt Tracking & Insights
See which prompts drive attention in your space, and where your brand needs to show up.
Competitive Positioning
Monitor competitor mentions across AI searches and spot gaps you can move on before they do.
AI Optimization Assistant
Get clear, AI-driven recommendations to boost brand visibility and close visibility gaps faster.
Evaluate market conditions, identify pain points, create a flexible
scope of critical features. Initialize core platform development stack.
Traditional Search Engine Optimization (SEO) focuses on helping websites rank in search engine result pages (SERPs). Think of Google’s “10 blue links” — the goal is to appear near the top of that list when someone types in a keyword. Optimization involves factors like backlinks, page speed, metadata, and specific keyword targeting to earn that position.
AI Search Optimization (AIO) operates under a different paradigm. Instead of optimizing for a list of results, AIO is about ensuring your content is understood and recommended by AI-powered systems — like ChatGPT, Google’s SGE, or Perplexity — within a conversational response. These systems don’t return lists of links based only on specific keyword matches or page speed. They generate synthesized answers and intelligent recommendations based on information drawn from a wide range of sources.
AI-driven discovery is not a niche behavior—it’s the new default for millions of users.
People aren’t just searching for information. They’re asking LLMs for recommendations:
“What’s the best tool for B2B lead gen?”
“Which productivity apps do you recommend for startups?”
“What’s the best CRM for real estate managers?”
"What hotel should I stay at when I visit New York City?"
"Who are good self-help coaches I should follow on social media?"
In these environments, your brand won’t appear unless the AI understands it, trusts it, and chooses to mention it. Even with a great product and great content, you may be completely omitted from AI results if your content isn't optimized for how LLMs retrieve and generate answers.
The Underlying Mechanisms of AI Search
Most large language models (LLMs) use a mix of:
Pre-trained knowledge (from public data and licensed sources),
Real-time retrieval systems (via APIs or web browsing),
Knowledge graphs that organize and relate concepts (e.g. “X is a type of Y” relationships).
When generating an answer, the model is selecting what it trusts, what it understands, and what it believes is most contextually relevant. This means your content must meet a different set of expectations:
Semantic depth: AI systems evaluate content based on meaning, not keyword match.
Entity consistency: Your brand and products must be referenced clearly and consistently across sources.
Structured clarity: Proper schema markup (e.g.,
FAQ,Organization,Product) helps the AI system extract meaning from your content.Non-promotional tone: AI often favors long-form, third-party, or educational content over direct marketing copy.
AIO Requires a Different Optimization Mindset
Most brands have spent years optimizing for how search engines index information. AIO requires optimizing for how AI systems interpret and synthesize information.
For example:
In SEO, a blog post with the right keywords and backlinks might rank well.
In AIO, that same post might be ignored if it doesn’t answer questions clearly or lacks entity-rich context that the AI can parse.
Moreover, AIO is conversational by design. Users frequently ask follow-up questions or refine their intent during a session (e.g., “What about for solopreneurs?” or “Are there any that integrate with Slack?”). Your content needs to anticipate these patterns — not just respond to static keywords.
What We’re Solving With Proximity AI
We're building Proximity AI because most brands have no idea how they’re being represented—or not represented—inside AI systems. Our research found that:
Many high-quality brands are excluded entirely from AI responses.
Competitors with stronger AIO footprints appear far more frequently.
Even when content exists, AI systems often summarize it without attribution.
With Proximity, we give you visibility into:
Whether your brand is showing up in AI-generated answers.
How often it’s being cited compared to competitors.
What prompts you’re being missed in—and why.
This isn’t about “gaming” AI systems. It’s about aligning your content and data infrastructure with how AI-powered discovery actually works.
AI is no longer just a backend technology—it’s now the primary interface through which millions of users are asking questions, making decisions, and forming brand preferences.
If SEO helped you get found in a list, AIO helps you get selected in an answer.
That’s a fundamental shift. And it requires a new way of thinking.
We're building Proximity AI to help brands adapt. Not through theory—but through measurable visibility, model-specific insights, and actionable recommendations.