AI Readiness Checklist: 10 Things to Fix Before Next Week
AI-referred traffic grew 10x in the past year, yet most brand sites still fail basic AI readiness checks. This practitioner-focused guide gives you a concrete AI readiness checklist you can work through this week, with specific fixes, tools, and the cost of doing nothing. If your site is invisible to AI agents, you are already losing ground to competitors who are not.
How Gemini Decides Which Businesses to Recommend
Gemini doesn't rank websites the way Google Search does. It selects businesses to recommend based on structured signals, entity clarity, and third-party corroboration. Most marketers are optimizing for the wrong thing. This guide explains exactly what Gemini looks for and gives you a step-by-step fix list.
AI Crawlers Ignore llms.txt 97% of the Time So Stop Making One
A 137,000-domain Ahrefs study published in June 2026 found that 97% of llms.txt files received zero requests from any bot or human. GPTBot, ClaudeBot, and their peers crawl HTML directly and ignore the file entirely. This article breaks down what the data actually shows, why llms.txt became a speculative SEO ritual, and which signals genuinely move AI citation frequency.
AI Readiness for B2B SaaS: What to Fix First
B2B software buyers are starting to let AI agents do the first pass of vendor research. This piece walks through exactly what a SaaS company needs in place so it doesn't get filtered out before a human ever sees the shortlist.
MCP's July 2026 Spec Deprecates Four Features Your Integration Probably Uses
The MCP 2026-07-28 specification formally deprecates four features: Roots, Sampling, Logging, and the legacy HTTP+SSE transport. Businesses exposing tools or data via MCP now have a 12-month countdown before Tier 1 SDKs drop support entirely. This guide explains what each deprecation means, what replaces it, and how to audit your integration before the clock runs out.
Schema Didn't Boost AI Citations. Here's What It Actually Does
A controlled study of 1,885 pages found adding JSON-LD produced no citation lift on ChatGPT, AI Mode, or AI Overviews. A separate retrieval test found five major AI systems read only visible HTML and ignored schema entirely. Schema is still worth publishing, but for accuracy rather than citations. The lever that actually moves is where you put your answer on the page.
MCP Servers: What They Are and Why Your Business Needs One
MCP servers are the connective tissue between AI agents and your live business data. Without one, AI tools answer questions about your company with outdated or incomplete information. This article explains what MCP servers do, who needs them, and how to set your infrastructure up before your competitors do.
Can AI Agents Actually Buy From You? A Guide to Agent Commerce Readiness
Being recommended by an AI agent is only half the job. The other half is whether that agent can actually get from your homepage to a completed transaction. This guide covers the five points where agent checkout fails, what to publish so it doesn't, and how to test your own site.
Perplexity Optimization: How to Appear in AI Answer Results
Perplexity is now a primary research tool for B2B buyers, yet most brands have zero presence in its answers. This guide breaks down the exact signals Perplexity uses to select cited sources and gives marketers a step-by-step plan to appear in results. From structured data to llms.txt, every fix here has a direct commercial payoff. Brands cited first by AI are 389% more likely to be Googled afterward — so the stakes are real.
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