The Retrieval Layer Strategy: One Optimization Approach for All AI Interfaces
Google, ChatGPT, and voice search draw from the same retrieval layer. The organizations winning optimize for the layer underneath, not each interface.
Read more
Context Map
What does AI know about your brand?
Before you fix anything, you need to know what you're working with. A Context Map is a structured review of how AI systems currently read your brand. What they know, what they're missing, and where the gaps are costing you citations.
- Marketers who track their brand in AI answers
- 27%
- Most brands have no idea what AI systems are saying about them. According to Page One Power, March 2026.
- Perplexity citations per response
- 5+
- AI search is not a list. It is a selection. The brands that get cited have context AI can verify. According to Search Engine Land, April 2024.
- Of AI citations come from brand-controlled sources
- 86%
- The content you publish shapes what AI systems believe about you. A Context Map tells you what signal you're actually sending. According to Search Engine Land, October 2025.
HOW IT WORKS
Are you creating content or creating paths for discovery?
Most brands start with content. More pages, more posts, more structured data. The Context Map starts earlier. Before we build anything, we read the terrain. What do AI systems currently know about your brand? What context are they working from? What's missing, contradictory, or simply not there?
The work is structured and specific. We query AI platforms directly, review how your brand is represented across citation sources, identify the entity signals that are present and the ones that aren't, and trace the content gaps that are preventing you from being cited. The output is a documented map, not a gut feeling.
Most clients use the Context Map as the starting point for a sprint. Some use it to pressure-test work they've already done. Either way, you walk away knowing exactly where you stand and what it would take to change it.
Make Sure AI Systems Read Your Brand Correctly
ChatGPT
Perplexity
Claude
Gemini
Meta AI
Copilot
DeepSeek
Grok
Case Study
A Hawaiian brand older than the internet. AI had one frame for them: tourist convenience.
Elvis was rumored to have worn their stuff. The brand predated Google by decades, predated the web entirely, and had been part of Hawaiian culture long enough that locals remembered specific locations the way people remember places that shaped them. When they encountered the brand today the reaction was always the same: "Oh, they're still around?" Fond memory. Mild surprise. No purchase intent.
The digital footprint told a different story. Cruise ship shuttle stops. TripAdvisor listings filed under shopping near the port. A brand with genuine cultural provenance had been indexed, cited, and recommended as a tourist convenience. Nationally it still moved volume on nostalgia, surfacing in niche searches for Hawaiian clothing. The context AI systems were working from had collapsed decades of real history into a single frame: souvenir shop.
The Context Map found the problem and the asset. Buried in the entity record were citation trails most brands would kill for. Vintage press, cultural references, decades of organic mentions from sources with real authority. None of it was connected, none of it was current, and none of it was pointing anywhere useful. The sprint brief wrote itself: stop starting from scratch and start activating what already existed. Legacy authority redirected at a modern brand presence.
Context Map assessments across every industry.
Hospitality
Professional Services
Local Business
E-Commerce
SaaS
On Island
Tourism
Skincare
Agritourism
Agribusiness
Aviation
Creators
Find out what AI systems think about your brand.
Tell us what you're seeing. We'll get on a call, map the terrain, and show you exactly where you stand.
From the Field
