Faro Editorial
Practical guides on AI readiness, structured data, llms.txt, and how to make sure AI agents find, understand, and recommend your business.
OpenAI's Operator was retired in 2025, and Stripe's Agentic Commerce Protocol only covers goods checkout so far, not hotel reservations. Here's what's actually live for agent-driven travel booking in 2026, and the structured-data fixes hospitality brands should make first.
Fintech brands face a stricter AI trust bar than most businesses. Here's why AI agents hesitate to recommend them, and the concrete schema, licensing, and fee-transparency fixes that close the gap.
ChatGPT, Claude, Perplexity, and Google's AI Overviews each build citations through a different technical mechanism. Here is how each one actually works, plus a simple weekly method to track whether AI is citing your brand.
WebMCP is a new draft web standard that lets AI agents call functions directly on your website instead of just reading it. Here is what it is, how it differs from MCP servers and llms.txt, and what to check before it ships.
Google has a name for how AI Mode and AI Overviews actually work: query fan-out, splitting one search into several concurrent related searches before generating an answer. Here is what that means for your content, why building a page for every variation is a documented spam violation, and what to do instead.
A practical breakdown of what robots.txt actually controls for AI crawlers in 2026: which bots like GPTBot, ClaudeBot, and PerplexityBot respect it, which user-triggered fetchers ignore it by design, and how to check your live file for wildcard rules blocking AI traffic you didn't mean to block.
AI agents now pull structured data directly from your site to answer user questions, bypassing traditional search results entirely. Get the properties wrong and you are invisible to ChatGPT, Perplexity, and Google AI Overviews. This guide tells marketers and SEO leads exactly which schema properties move the needle, which ones waste implementation time, and what Faro checks to catch the gaps before they cost you traffic.
Claude and similar AI assistants are now shaping buying decisions at scale, yet most business websites are structured in ways that make them nearly invisible to these models. This article explains exactly what signals Claude reads when forming recommendations, why most sites fail those checks, and which practical fixes have the highest ROI. Marketers and SEO leads who act now have a real window to own positioning before their category becomes crowded.
AI-referred traffic grew 10x in the past 12 months, yet most SaaS sites are structurally invisible to the agents generating it. This guide breaks down what AI visibility means for SaaS companies, what it costs to ignore it, and the specific steps marketers and growth leads should take right now. Practical, opinionated, and built on verified data.
48 articles published