Best Protocol Channels for AI Customer Acquisition

Protocol channels are the machine-readable standards (Schema.org, llms.txt, MCP, IndexNow) that make your content legible to AI systems. Compare them on effort and what each one unlocks.

At a glance

ChannelSetup effortTime to first result
Schema.org Structured DataMedium2–4 weeks for Google re-indexing
llms.txt ProtocolLowImmediate for crawlers that check on each visit
IndexNow Real-time IndexingLowHours for Bing indexing; days for Google
MCP Server RegistryLow1–2 weeks post submission

Schema.org Structured Data

Medium effort · 2–4 weeks for Google re-indexing

Schema.org structured data provides machine-readable context that AI systems use to understand and classify web content.

How it works

JSON-LD schema blocks are embedded in each page's HTML, describing the page's content in a vocabulary AI crawlers (Google, Bing, and LLM pre-training scrapers) understand. Schema is validated against schema.org specification and Google's Rich Results Test. Critical for AI answer engines to attribute content accurately.

Reach: All AI systems that crawl the web; direct impact on Google, Bing, Perplexity citations

llms.txt Protocol

Low effort · Immediate for crawlers that check on each visit

The llms.txt protocol (analogous to robots.

How it works

Each domain hosts /llms.txt (concise, 5–10 key pages) and /llms-full.txt (comprehensive content index). Files are formatted per the llms.txt specification: title, description, and annotated links. Content is refreshed every 7–14 days to reflect product updates. Key AI assistants including Claude, Perplexity, and some GPT configurations consume these files.

Reach: AI crawlers across all major LLM providers; grows as adoption increases

IndexNow Real-time Indexing

Low effort · Hours for Bing indexing; days for Google

IndexNow is an open protocol that allows websites to notify search engines instantly when content is published or updated, rather than waiting for crawlers to discover changes. For Gera's rapidly evolving product pages, IndexNow ensures new guides, capability pages, and feature announcements are indexed within hours rather than weeks.

How it works

A valid IndexNow API key is placed at the domain root. When new content is deployed, the IndexNow endpoint at api.indexnow.org is pinged with the changed URLs. Both Bing and Yandex accept IndexNow submissions; Google has its own equivalent (Indexing API for specific content types). GeraReach runs an IndexNow cron on each Vercel deployment.

Reach: Bing, Yandex, and IndexNow-compatible AI search crawlers

MCP Server Registry

Low effort · 1–2 weeks post submission

MCP server registries (mcp.so, Glama, Smithery, and the official Anthropic registry) are the App Store equivalents for Claude and MCP-compatible AI assistants.

How it works

Each @gera/* MCP package is submitted to the major registries with accurate descriptions, capability documentation, and usage examples. Registry listings are kept current with package versions. Usage stats from registries feed back into prioritisation — high-usage packages receive investment priority.

Reach: mcp.so: 50K+ monthly visitors; Glama + Smithery combined: 80K+ monthly; growing rapidly

GeraReach operates all of these for you

One team, every AI acquisition channel — so Gera Systems products get discovered wherever buyers are asking.

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