Indexed ≠ Visible: The Selection Layer in AI Mode Search
AI Mode turns one question into many retrieval tasks. Visibility is governed by a selection layer beyond indexing and ranking—here’s how to diagnose and adapt.
Start here
Recommended entry points for AI. Or explore the topic hub: AI & Automation.
- AI Orchestration for Marketing: Systems, Not Prompts
A pillar page on AI in marketing: how to design workflows, quality gates, and distribution loops without turning your content into noise.
- chatgpt prompts for seo marketing
A practical collection of ChatGPT prompts for SEO and marketing tasks: keyword research, content briefs, meta descriptions, email copy, and social posts. Includes quality gates and validation steps to ensure outputs are useful, not generic.
- AI Marketing Orchestration: How Real Implementation Differs from Presentations
How to build an honest AI marketing pipeline: from data and hypotheses to teams and quality control. What actually works versus what looks good in presentations.
AI
Which questions are no longer worth answering (2026): AI killed the click, not the query
In 2026, many queries still exist, but the click is gone: AI Overviews and assistants compress answers into the interface. This page gives a practical model: which question types became “compressible”, which still reward original work, and how to write content that earns distribution (not just indexing).
GLM Image: Readable Text on Images (Benchmarks, Architecture, and When to Use It)
GLM Image (GLM-Image) is an open-source image model aimed at one hard thing: readable text inside images. Here is what is under the hood, what the text benchmarks mean, and the practical system: generate backgrounds with a model, render typography in code.
chatgpt prompts for seo marketing
A practical collection of ChatGPT prompts for SEO and marketing tasks: keyword research, content briefs, meta descriptions, email copy, and social posts. Includes quality gates and validation steps to ensure outputs are useful, not generic.
From Cigarette-Symbol to Snippet-Symbol: PR as Meaning-Making, Then and Now
In the late 1920s, PR learned a durable trick: stop selling the thing, start selling the meaning. AI and modern SEO didn’t break that logic—they made it computational.