Thinking about the agentic web.

Why Commission-Free Matters: The Economics of Agent-Mediated Commerce

OTAs charge 15-25%. Google Ads cost per click. Yelp Premium runs hundreds per month. When AI agents recommend based on structured data, there is no platform in the middle extracting rent. The math changes everything.

February 15, 2026

The Concierge Economy: When Every Consumer Has a Personal Agent

The concierge — someone who knows your preferences, anticipates your needs, and handles logistics — used to be a luxury. AI agents are making it universal, and that changes what every business needs to provide.

February 13, 2026

The Invisible Majority: Why 90% of Local Businesses Don't Exist to AI

Roughly 90% of local businesses are effectively invisible to AI agents. Not because they are bad businesses — because they have no structured, machine-readable data about what makes them different. The window for early advantage is closing.

February 11, 2026

Events, Pop-Ups, and Time-Bounded Data: The Hardest Problem in Local AI

A jazz night that ended yesterday. A pop-up market that was last weekend. A ski pass sale that expired Tuesday. Events are the hardest data type for AI agents to handle — and the most valuable to get right.

February 9, 2026

The Multi-Agent Future: Why Your Data Needs to Work Everywhere

Today there are a handful of major AI assistants. Within two years there will be hundreds of specialized agents. A business visible to only one agent misses everyone else. Data needs to live in an open, protocol-based layer.

February 7, 2026

The End of the Cold Lead

Cold leads are expensive and mostly wasted. AI agent-mediated leads are fundamentally different: the agent has already matched the buyer's specific intent to the business's specific capabilities. The lead arrives pre-qualified.

February 5, 2026

Nuance

What Auto Dealers Can Teach Every Industry About AI Readiness

Car dealerships sit on some of the richest operational data of any industry. Days on lot, real margin, manufacturer incentives, incoming allocations — none of it appears on AutoTrader. Dealers who structure this for AI agents will move inventory faster at better margins.

February 3, 2026

Nuance

The Hospitality Blind Spot: What Hotels Are Missing About AI

Hotels live and die by OTAs that take 15-25% commission and reduce every property to a star rating, a price, and a checkbox list. AI agents represent a way out — but only if hotels structure the nuance that differentiates them.

February 1, 2026

The Privacy Advantage: Why Sourced Data Beats Surveillance

Scraping is surveillance. It takes data without asking and strips context. Sourced data inverts the model — businesses control what they share, and it produces better data, not just more ethical data.

January 30, 2026

Strategy

Why Local Beats Global in the AI Data Race

Everyone is racing to build the biggest AI dataset. But for local commerce, bigger is not better — more local is better. Geographic density creates a self-reinforcing advantage that global coverage cannot replicate.

January 28, 2026

AI Agents Are the New Sales Channel — and Most Businesses Don't Know It

There is a new sales channel emerging and most businesses are completely unaware of it. AI agents are picking winners and losers in local commerce — and the cost to be visible is zero.

January 26, 2026

The Trust Stack: How AI Agents Decide What Data to Believe

AI agents pull data from dozens of sources. How do they decide what to trust? The emerging trust stack — provenance, freshness, specificity, consistency — will determine which data providers win.

January 24, 2026

Strategy

Local Data Has a Network Effect — and It Is Just Starting

Most data businesses scale linearly. Local business intelligence has a compounding network effect: more businesses contributing means better matches, more agents, and more value for everyone.

January 22, 2026

What Happens When AI Agents Start Negotiating

Today agents find and recommend. Tomorrow they will negotiate. Agent-to-agent negotiation is coming faster than most people think, and the businesses that expose their flexibility will close more deals.

January 20, 2026

The 10-Minute Advantage: From Invisible to AI-Recommended

It takes less than 10 minutes to go from completely invisible to AI agents to being actively recommended by them. Most competitors have not done it yet.

January 18, 2026

Why Yelp and TripAdvisor Will Lose the Agent War

Yelp, TripAdvisor, and Google Business Profile were built for humans browsing lists. AI agents do not browse lists. The platforms have the wrong data, the wrong model, and the wrong incentives.

January 16, 2026

The Hallucination Tax: What Bad Local Data Costs Everyone

When an AI agent recommends a restaurant that closed six months ago or a deal that expired last week, everyone pays the price. The root cause is not model quality — it is data quality.

January 14, 2026

Every Business Has a Data Advantage — Most Are Wasting It

Every local business has information that would make an AI agent recommend them. The auto dealer with overstocked models, the restaurant with the secret weeknight menu, the physio who specializes in shoulders. Almost none of them have structured it.

January 13, 2026

From Discovery to Transaction: How AI Agents Will Close Deals

Today's AI agents stop at "here's a name and a phone number." The next phase is transactional: the agent finds the business, qualifies the match, and completes the booking.

January 11, 2026

The Freshness Problem: Why Yesterday's Data Is Already Wrong

A deal that expired yesterday is worse than no deal at all. Most business data online is weeks or months stale — and AI agents recommending on stale data will break trust faster than no recommendation.

January 9, 2026

Why Your Five-Star Rating Won't Save You from AI

A 4.7 star rating tells an AI agent nothing about whether this business is right for this customer. Review scores are Google's ranking signal. Agents need match criteria.

January 7, 2026

Seller Intent: The Most Valuable Signal No One Is Capturing

Every business has something it wants more of right now. That signal — seller intent — is the most valuable data in local commerce, and almost nobody is capturing it.

January 5, 2026

The Agent Economy: How AI Middlemen Are Reshaping Local Commerce

AI agents are becoming the new middlemen between consumers and local businesses. The businesses and data layers that feed agents the best signals will capture the most commerce.

January 2, 2026

Strategy

Structured Data Is the New SEO

SEO was about being found by Google. AEO is about being found by AI agents. The difference: it is not about meta tags. It is about having structured, machine-readable data about what makes your business different.

December 30, 2025

Engineering

Building the MCP Layer for Local Intent Data

How we built a Model Context Protocol server on Cloudflare Workers to give AI agents real-time access to local business intelligence — and why MCP is the right abstraction.

December 27, 2025

Nuance

What a Sales Manager Knows That Google Never Will

The operational knowledge that makes the difference between a generic recommendation and a perfect match lives in one place: the heads of the people who run the business.

December 23, 2025

The Death of the Keyword

When someone tells an AI agent "find me a quiet restaurant with a private room for 8 on Saturday," there are no keywords. There is only intent.

December 20, 2025