Blog
Guides and insights on AI visibility, AEO, and getting your business found by AI search engines and shopping agents.
-
Five concrete levers — llms.txt, schema markup, answer-ready FAQ content, product feed completeness, and being in the sources AI engines cite. Grounded in real scan data: Allbirds 47/D, Gymshark 55/C, Mejuri 10/F. Includes copy-paste JSON-LD and a free visibility check.
-
Allbirds, Gymshark, Mejuri, Brooklinen, and Death Wish Coffee — five brands with real marketing budgets. We scanned every one through our AEO engine. Not one scores above 60. Not one scores above zero on answer-readiness. Full breakdown inside.
-
Gorgias charges $10–$900+/mo on a per-ticket model and bills AI resolutions separately on top of your cap. An honest 2026 comparison of every real alternative — Zendesk, Re:amaze, Tidio, and flat-rate Hatchloop — with actual pricing math and a BFCM spike scenario.
-
How to export ticket history, macros, and customer records from Gorgias, Zendesk, or Freshdesk before you switch — then stage a no-downtime cutover with a two-week parallel read period so nothing falls through the cracks.
-
WISMO (“where is my order?”) is the biggest single ticket category for most Shopify stores. Three concrete tactics that cut that volume: proactive tracking notifications, AI-powered live order-status lookup, and self-serve returns automation — with the metrics to prove it’s working.
-
The break-even formula, a worked 12-month cost example showing how a supplier issue turns a ,320 annual bill into ,268 in surprise overage, and a five-step checklist for switching from per-ticket billing to flat-rate AI support cleanly.
-
A practical 12-point checklist covering Product schema completeness, robots.txt crawler access, llms.txt setup, product description quality, and collection page content — so your Shopify store shows up in ChatGPT Shopping, Perplexity, and Google AI Overviews.
-
Concrete AEO steps for Shopify merchants: llms.txt setup, fixing incomplete Product schema, product-feed hygiene, FAQ content that AI engines actually quote, and how to verify your AI search visibility for free.
-
Gorgias, Tidio, Reamaze, or flat-rate AI support? An honest comparison for solo operators and tiny teams — by ticket volume, budget, and whether you want AI to resolve tickets or just assist humans who do.
-
Per-ticket vs per-seat vs flat-rate: three billing models, one Shopify store. Real pricing math at four volume tiers — including what happens at BFCM — and an honest take on when each model wins.
-
Per-ticket billing punishes growth. Here’s the actual Gorgias pricing math, the break-even model at different store sizes, and when flat-rate AI support wins — including an honest take on when Gorgias still makes sense.
-
How to Fix Silent MCP Server Failures in Claude Desktop (spawn ENOENT, uvx not found, Windows paths)
MCP server not showing up in Claude Desktop? The six silent failure modes developers hit most often — spawn ENOENT, uvx not installed, wrong runtime (npx vs uvx), Windows path escaping, config not loading, tools appear but always error — each with the exact fix and copy-pasteable config snippets.
-
We built an agent-callable broker with x402 USDC payments. Before billing went live, an audit found every paid call would charge real money for a stub no-op. The exact failure path, the fix, and the principle every agent payment system needs.
-
MCP is how agents call tools. x402 is how they pay. The CDP facilitator settles on-chain. Coinbase Bazaar is the discovery directory. AWS Bedrock AgentCore Payments just launched. We shipped on all of it: the full layer map, what is real vs. hype, and the specific gotchas we hit.