- Commerce
- Product Discovery
- UX
Sloan
A new digital standard from the category pioneer.
AI-powered search is rewriting how products get found. ChatGPT, Perplexity, and Google AI Overviews now shape purchase decisions before a buyer reaches a website. We build the content architecture, structured data, and performance systems that make your brand the answer.
Why this matters
AI search engines don’t return a list of links. They synthesize answers. When a buyer asks “what’s the best touchless faucet for a hospital restroom?” the engine reads dozens of pages, extracts facts, and produces a single response. If your brand isn’t structured to be part of that answer, you’re invisible.
We call this discipline Generative Engine Optimization — GEO. It’s not a rebrand of SEO. It’s a fundamentally different practice, because the engines work differently. And the brands that invest in it now will be the ones showing up in AI-generated answers for the next decade.
What we deliver
Generative engine optimization that makes your brand the answer in ChatGPT, Perplexity, and Google AI Overviews.
Content architecture structured so AI models can extract entities, relationships, and facts — not just keywords.
Schema markup, JSON-LD, and product feeds that give machines the context they need to cite your brand accurately.
Core Web Vitals, crawlability, rendering strategy, and performance engineering that keeps the foundation sound.
Analytics-driven refinement of the paths buyers take from search result to specification to purchase.
Continuous improvement of interface patterns, page structures, and interaction design based on real user behavior.
Measurement frameworks, dashboards, and reporting that connect platform performance to business outcomes.
Ongoing design, engineering, and optimization support that keeps your platform current as search, AI, and buyer behavior evolve.
When a buyer asks ChatGPT for the best commercial faucet or Perplexity for a product comparison, your brand needs to be in the answer. We build the entity definitions, structured data, and content architecture that make that happen.
AI search engines don't rank pages. They read them. Content needs to be organized around entities, relationships, and direct answers — not keyword density and link building.
Technical SEO, Core Web Vitals, and platform performance aren't one-time fixes. They're ongoing investments that compound over time as search engines reward consistency and speed.
Traffic, rankings, and impressions are inputs. We measure what matters: specification rates, qualified leads, and the pipeline contribution of organic and AI-driven discovery.
01
A full assessment of your current discoverability: how AI engines see your brand, where structured data gaps exist, and what content architecture changes would have the highest impact.
02
Content models, entity definitions, structured data strategy, and a technical roadmap designed to make your brand the most parseable source in your category.
03
Ongoing optimization, content production, and performance monitoring. AI search is evolving fast — your discoverability strategy needs to evolve with it.
Whether you’re preparing for AI search, optimizing an existing platform, or building a discoverability strategy from scratch — we’d like to hear about it.
In the office