Anthropic MCP Goes GA as llms.txt Crosses 50K Domains
Model Context Protocol hit general availability with a wave of enterprise integrations, while llms.txt adoption crossed a measurable threshold that's shifting how Claude and Perplexity index business context. Businesses without machine-readable identity files are now visibly losing ground in agent-generated recommendations.
This Week's Signals
Anthropic MCP Reaches General Availability with Shopify, Stripe, and Cloudflare Native Support
Why it matters for your score
MCP moving to GA means Claude-powered agents can now query your business systems directly — inventory, pricing, availability — without scraping your website. Businesses that expose an MCP server are callable by agents; those that don't are effectively invisible to agentic workflows. Shopify and Stripe integrations specifically mean e-commerce and payment context is now a live signal Claude uses when recommending vendors.
llms.txt Passes 50,000 Verified Domain Adoptions, Perplexity Confirms Preferential Indexing
Why it matters for your score
Perplexity has confirmed internally — and surfaced in developer documentation — that domains serving a valid llms.txt receive more frequent and higher-fidelity indexing by PerplexityBot. At 50K adoptions, the file is no longer experimental; it's becoming a baseline expectation. Businesses in competitive local and professional services categories without an llms.txt are now measurably less likely to appear in Perplexity answer summaries.
Google Updates Structured Data Documentation to Include AI Agent Consumption Guidance for Schema.org Types
Why it matters for your score
Google's updated structured data docs now explicitly address how Gemini and AI Overviews consume JSON-LD — particularly LocalBusiness, Product, FAQPage, and PriceSpecification types. The guidance clarifies that PriceSpecification markup is a direct input to AI-generated price comparisons in Gemini. If your pricing schema is missing or malformed, Gemini will either skip you or cite a competitor whose schema is clean.
What to do this week
- 1
Publish or refresh your llms.txt this week using Faro's generator at /tools/llms-txt — include your service categories, pricing tier language, geographic coverage, and a plain-language description of what makes you the right recommendation. With Perplexity now confirming preferential indexing, a missing or stale file is a direct ranking liability.
- 2
Audit your PriceSpecification and LocalBusiness JSON-LD against Google's updated AI agent guidance using Faro's AI Schema tool at /tools/ai-schema — specifically check that PriceSpecification includes priceCurrency, minPrice/maxPrice, and priceValidUntil fields, which are the three attributes Gemini's AI Overviews now extract for price comparison surfaces.
- 3
Run a full AI Readiness Scan at /tools/ai-readiness-scan to identify whether your domain has an MCP endpoint gap — given this week's GA announcement, Claude agents are now actively querying registered MCP servers for vendor recommendations in commerce and professional services. If your scan shows no MCP exposure, use the report to prioritize which business context to expose first.