Perspectives

Insights

Perspectives on AI-first customer experience from the team at MING Labs.

Articles

In-depth perspectives, manifestos, and case studies.

25 tools built for humans, zero usable by agents — visual showing 25 to 7 to 0 progression GEO & AI Visibility

The Website That Acts

WebMCP turns your website from something AI reads into something AI uses. The agentic web is here — your website needs to be actionable.

Marc Seefelder · Feb 2026
Read article · 8 min
GEO & AI Visibility

The Misquoted Company

Your sales team tells one story. AI tells another. The gap is where citations die. Three narratives — one alive, one frozen, one fossilized.

Marc Seefelder · Feb 2026
Read article · 7 min
AI & Organizational Design

The Swarm Thesis

Why the future isn't one developer + one AI — it's something stranger. Ten engineers, ten salaries, the output of 4.6 people.

Marc Seefelder · Jan 2025
Read article · 6 min
GEO & AI Visibility

The Invisible Clients

Your content has three clients. You've only met one. SEO gets you retrieved. GEO gets you recommended.

Marc Seefelder · Jan 2026
Read article · 8 min
Memory Infrastructure

The Website of the Future

Your company learns every day. Your website doesn't. The website of the future is written by the ghost of every conversation you've ever had.

Marc Seefelder · Jan 2026
Read article · 6 min
GEO & AI Visibility

The AI is Eating Your Funnel

Your buyers now start with ChatGPT, not Google. What that means for B2B discovery.

Marc Seefelder · Jan 2026
Read article · 8 min

Answers

Quick explanations for common questions about Intent-Native CX and GEO.

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What is Intent-Native CX?

An AI-first customer experience architecture where touchpoints share memory through a unified Intent Graph, so context compounds and customers never repeat themselves.

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Intent-Native CX vs CRM

CRM tracks relationship history (what happened). Intent-Native CX tracks forward-looking intent (what customer needs next). They're complementary.

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Intent-Native CX vs CDP

CDPs infer preferences from behavior for audience segments. Intent-Native CX remembers stated intent for journey continuity. Different data, different purpose.

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Intent-Native CX vs RAG

RAG retrieves documents for the current query. Intent-Native CX remembers the full journey context. RAG is stateless; the Intent Graph is stateful.

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What is an Intent Graph?

An event-sourced intent fact store that carries structured customer intent from first question to Sales handoff. Typed facts, not text chunks.

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Intent Graph vs RAG

RAG retrieves text chunks by similarity. The Intent Graph stores typed facts by explicit structure. Similarity is not understanding.

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First-Party vs Third-Party Intent

Third-party intent is inferred from behavior. First-party intent is expressed in words. Third-party tells you who to reach; first-party tells you what to say.

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How Does Intent Capture Work?

Three patterns: Answer Page Context, Progressive Confirmation, and Downstream Capture. The page URL is the intent signal — no forms required.

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IntentCX vs Intent-Native CX

T-Mobile's IntentCX predicts from behavioral signals. Intent-Native CX remembers what customers declared to AI assistants. Different problems, different architectures.

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Why Are My Website's Interactive Features Invisible to AI?

AI agents read HTML but cannot execute JavaScript — making your configurators, calculators, and booking systems invisible to every AI that visits your site.

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What Does WebMCP Mean for GEO?

WebMCP expands GEO from citation-only to citation plus invocation — adding tool exposure as a second optimization discipline alongside content quality.

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Cited vs Used: What's the Difference?

Citation gets your brand mentioned in AI answers. Invocation gets your tools executed by AI agents. Different strategies, different advantages, different parts of the funnel.

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MCP vs WebMCP: What's the Difference?

MCP connects AI to backend systems — databases, APIs, dev tools. WebMCP connects AI to public websites — configurators, calculators, booking forms. Same inspiration, different domains.

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How Do AI Agents Interact with Websites in 2026?

AI agents crawl, read, cite, and now invoke websites — four interaction layers that define whether your content gets found, referenced, or used by AI.

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OpenAI Ads vs Google AI Commerce vs Amazon MCP

OpenAI sells ad space in ChatGPT. Google processes transactions inside AI answers. Amazon brokers product data to AI agents. All three put the platform between you and the customer. There's a fourth option.

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Amazon Just Proved Why You Need to Own Your AI Presence

Amazon, Google, and OpenAI are building infrastructure to control brand visibility in AI responses. The alternative: make your own website the source AI agents trust and use directly.

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