iNDX CO+ Update: Highlights From February 16 to March 1 2026 - Start Doing This Today…Your Future Self Will Thank you

Summary

AI visibility is increasingly driven by real-world questions - not just keywords. The fastest way to adapt is simple: start systematically capturing the actual audio conversations happening across your business. So much valuable insight happens verbally and never makes it into marketing, structured content, or AI-visible formats. This closes that gap.

Here’s how I do it: I record the live customer interaction - but only my voice is captured. I use a Bluetooth earpiece with a phone recorder app or a Zoom F2 recorder. The setup isolates and records my side of the conversation while canceling out surrounding voices and noise. The result is a clean record of what I say without recording the customer’s voice. When analyzed through AI, it is smart enough to infer what the customer is asking.

Transcribing is easy. But don’t do it yet. Just start the habit of recording and saving to your files. Keep it simple, fast and easy. Don’t correct or format files. Record the file, give it a unique file name with today’s date and time and a brief few words about it, save it to your computer and you are done.

After a few weeks or a few months, once you are in the habit and you’ve built a directory of files, then add the workflow of transcribing. Use a cloud tool like Otter.ai, or install open-source Whisper locally and automate it, which is what I do. You don’t need technical expertise - an AI assistant can walk you through a local Whisper installation. Once transcribed, give it to any AI LLM and it will analyze it for you.

Over time, you can create an automated workflow that automatically does all of this and sends you the insights. Or better yet, a few of us can get together and publish this workflow for the rest of the paddling industry to use.

I cannot tell you how valuable this has been for my businesses. Please start recording and saving those files today.

Findability: Main Category

How answering People Also Ask questions correlates with organic rankings (Study) - and how retailers have an edge here
This post examines how Google’s People Also Ask (PAA) feature appears in over 80% of searches and how answering these questions directly correlates with stronger organic visibility. Retailers in particular have an advantage because of structured product data and clear intent matching, making PAA optimization a strategic lever in AI-era discovery.

People Also Ask (PAA) is a dynamic Google search feature, appearing in over 80% of searches, that displays related questions to a user’s initial query. It provides instant, snippet-based answers - often with links, images, or lists - to help users find information without extra searching, serving as a powerful, real-time tool for SEO, content strategy, and understanding user intent. This study shows that pages that fully answer more PAA questions tend to rank higher.

alsoasked.com
How answering People Also Ask questions correlates with organic rankings…
Get unparalleled insight into search intent with live, geo-specific People Also Ask questions.

How To Mine Google Search Console For Conversation Data
This post outlines how to use Google Search Console to identify conversational queries that reflect how buyers are interacting with AI systems. It provides a practical approach for extracting prompts and patterns to better align content with emerging AI-driven discovery behavior.

This is a nice overview on how to discover which prompts to track to help know what buyers are asking AI models about our companies. This is in context of using Google Search Console, which is free. https://nectivdigital.com/blog/how-to-mine-google-search-console-for-conversation-data-regex-included
https://nectivdigital.com/blog/how-to-mine-google-search-console-for-conversation-data-regex-included

AI Optimizes for Outcomes, Not Attention
This discussion reframes content strategy in the AI era: systems optimize for outcomes and task completion rather than attention or clicks. It reinforces the idea that brands must structure offerings - content or software - as utility-driven tools that AI can confidently use and recommend.

I summarized this and added it to the Master Framework. It is from https://x.com/garrytan/status/2023773343124537411. In the AI era, we think of our offerings as apps - whether it is content that we serve or an actual software app. AI cares not just about an app that is structured for it to use, but how responsive it is, whether it is proven and has worked before, and whether it has to pay to access the app. This bleeds heavily into agents that we might create as products or services that others can rent.
https://x.com/garrytan/status/2023773343124537411

The science of how AI pays attention
This post summarizes tactical insights on how AI systems evaluate, prioritize, and cite information. It highlights structural clarity, authoritative sourcing, and semantic coherence as key drivers of AI visibility.

Nice tactical tips on how to write content for AI based on what it looks for and how it cites information. https://www.growth-memo.com/p/the-science-of-how-ai-pays-attention
https://www.growth-memo.com/p/the-science-of-how-ai-pays-attention

WebMCP by Google
An early release from Google introducing WebMCP, a framework for marking up webpages so AI agents can better interpret and use them. This signals a shift toward explicit AI-agent interfaces layered on top of traditional web infrastructure.

This is very new and an early release by Google. This tool allows for marking up webpages so that AI agents can use them better. Think a shopping cart. The future is either AI models sucking in product data and consumers making a purchase without leaving the AI chat interface, or a consumer uses an agent to go out to the web to make the purchase. This tool helps the latter. This is something to watch. I imagine existing website platforms will implement this for their customers.
https://www.linkedin.com/posts/chris-long-marketing_technical-seos-webmcp-will-become-the-new-activity-7427703157264199680-jq2M

Cloudflare’s Markdown for Agents AI feature has SEOs on alert
Cloudflare’s new Markdown-for-Agents feature allows sites to provide AI-friendly content versions at the infrastructure layer. Given Cloudflare’s reach across roughly 20% of the web, this development has significant implications for AI crawling and structured content delivery.

Cloudflare powers 20% of the web by being the front door to websites. A really great service that is free with fewer features and I generally recommend using it. Cloudflare has good bot blocking capabilities to prevent bots from taking sites down. This new feature converts a webpage on the fly to markdown, a basic structure for serving content that strips out HTML, so that if requested by a bot or agent, it can consume a cleaner version of the page.
https://searchengineland.com/cloudflare-markdown-for-agents-469246