Faro Editorial
AI discoverability, explained.
Practical guides on AI readiness, structured data, llms.txt, and how to make sure AI agents find, understand, and recommend your business.
How to Show Up in Google AI Overviews (Without Chasing the Algorithm)
Google AI Overviews pull from a small set of sources Google trusts to answer a query directly. Winning a citation is less about ranking tricks and more about being unambiguously the best-structured answer. This guide covers what earns a spot, how to measure it, and the mistakes that keep good pages invisible.
AI SEO: What It Is and How It Differs from Traditional SEO
AI SEO is no longer a future concept — it is the primary battleground for brand visibility in 2026. This article breaks down exactly how AI SEO differs from traditional SEO, which signals actually matter to AI agents and answer engines, and what practical steps marketers can take today. If your site was built for Google's ten blue links, it is already behind.
What Is WebMCP? The Protocol Deciding Whether AI Agents Can Use Your Website
WebMCP is a browser-native protocol co-developed by Google and Microsoft that lets websites declare callable functions for AI agents, replacing fragile DOM scraping with structured tool calls. With an origin trial live in Chrome 149 and the Lighthouse Agentic Browsing category now shipping by default, there are concrete things to audit and fix on your site right now.
API Documentation for AI Agents: Why Your Docs Are the New Sales Page
When an AI agent evaluates your product, your API documentation is often the first thing it reads and the main thing it judges you on. This guide covers what agents actually parse, the difference between human-friendly and machine-friendly docs, and seven concrete fixes you can ship this week.
Ahrefs Says 97% of llms.txt Files Get Zero Requests. They Missed the Point.
Ahrefs measured how often AI crawlers fetch llms.txt files and found 97% get zero requests. The study is methodologically sound but the conclusion misses the most important use case: inference-time context injection, not pre-crawl indexing. llms.txt was never primarily a crawler instruction file.
Cloudflare Now Has an Agent Readiness Score. Here's What It Checks — and What It Misses.
Cloudflare's new agent readiness score checks four infrastructure signals. Faro runs 30+ checks across 6 categories including pricing transparency, structured data, MCP endpoints, llms.txt quality, and AI citation signals. The gap is not about better vs. worse — it reflects two fundamentally different problems.
MCP for Business: What Model Context Protocol Means If You Are Not an Engineer
Model Context Protocol (MCP) is Anthropic's open standard for connecting AI models like Claude to external tools and data. Publishing an MCP server puts your product inside the AI's native workflow, making it callable without the user ever leaving their AI assistant. For B2B software companies, this is a new distribution channel, not just an engineering project.
Google's A2A Protocol: What It Means for Your Business When Agents Talk to Agents
Google's A2A protocol lets one AI agent delegate tasks to another, including calling your business endpoint directly on behalf of a buyer. Businesses without an A2A-compatible interface are skipped entirely from that selection process.
AI Answer Position: The New Ranking Metric Every Marketer Needs to Track
AI answer position is where your brand appears inside a flowing AI-generated response, and it matters far more than simply being mentioned at all. Brands named first in an AI answer are 389% more likely to be searched afterward. This post explains what drives position, how to measure it, and which signals to fix first.
29 articles published