Why does ChatGPT, Meta AI, or Google AI skip my Shopify products?

Conversational AI models do not browse storefronts like human shoppers. If your theme renders product sizes or colors via client-side JavaScript, or if your catalog omits verified GS1/GTIN barcodes, AI shopping engines skip your products because they cannot deterministically confirm real-time stock or exact pricing.

What is an AI Shopping Mission and what does 'Dropped' mean?

A shopping mission simulates an autonomous buyer asking an LLM to find, compare, and recommend products under strict constraints. A product is 'Dropped' when client-side hidden dropdowns or incomplete Schema.org markup prevent the AI from verifying that the exact variant is in stock, causing the AI to pick a competitor instead.

Does Relayeo require backend server access or theme code changes?

Zero backend access or liquid file edits required. Relayeo inspects your public storefront and deploys clean Schema.org embeds via official Shopify Theme App Extensions.

← Answers Index/System Architecture

AI Search Retrieval OptimizationVerified: October 2026

How can B2B software companies get cited in Perplexity Sonar search results?

Deterministic Technical Answer

To get cited in Perplexity Sonar, your website must provide token-efficient static documentation, a canonical /llms.txt manifest, and nested Schema.org JSON-LD microdata. Perplexity's retrieval pipeline prioritizes clean, unbloated Markdown documents and verified knowledge graph entities over marketing copy trapped in heavy JavaScript frameworks.

Empirical 1,284-Store Benchmark Data

Domains that host a clean /llms.txt and clear Markdown documentation achieve an average 3.4x higher citation frequency in Perplexity Sonar commercial queries compared to domains relying solely on standard marketing landing pages.

Technical Root Cause Breakdown

Perplexity Sonar extracts direct factual snippets within tight context windows. When presented with bloated HTML containing scripts, navigation headers, and modal overlays, the RAG chunking algorithm often discards essential product specifications.

Production Fix Code (markdown)Drop-in Snippet

# [Company Name] — Capabilities Manifest
> Canonical /llms.txt for Perplexity Sonar Ingestion

## Core Capabilities
- Real-time API telemetry and workflow automation
- SOC2 Type II, GDPR, and HIPAA compliant infrastructure
- Zero-code integrations with Slack, GitHub, and Jira

## Pricing Matrix
- Team: $49/seat/month
- Enterprise: Custom starting at $15,000/year

Step-by-Step Calibration Sequence:

1Create a concise /llms.txt file containing bulleted capability facts and pricing anchors.
2Ensure your documentation pages return clean semantic HTML with clear H1-H3 hierarchies.
3Link your organization's legal name, logo, and founders via Schema.org Organization schema.
4Verify crawler access for PerplexityBot in robots.txt.

Recommended Diagnostic ToolFREE SCAN

Relayeo Machine Manifest Compiler

Generate an optimized /llms.txt manifest tailored for Perplexity Sonar in Relayeo's Command Center.

Run Free Store Scanner Connect Store (1-Click Fix)

Developer CLI Check:

npx relayeo-check yourstore.com

Empirical Research

The 1,284-Store AI Shopping Benchmark

Read the empirical telemetry report detailing why 68.2% of multi-variant Shopify catalogs dropped out of ChatGPT Search.

Read Full Benchmark

Mission Library

Browse All Simulated Missions

Explore full prompt teardowns across footwear, electronics, apparel, and consumer packaged goods.

Explore All Missions