Brand Mentions for AI Search: A Three-Tier Playbook
Earn useful brand mentions across editorial sources, communities, and owned properties, then monitor citations, sentiment, accuracy, and business impact separately.
Every case study, system breakdown, and field note, newest first and filterable by topic. No theory, no demos. Only systems that run in production and what it took to get them there.
This is the complete archive: all 781 posts across 63 topics, newest first, filterable by category. It holds the case studies, the model and tool comparisons, and the field notes from systems I built and run. For the curated view, where the writing sits alongside the free Claude Code skills, start at the Library instead.
The archive leans in four directions: AI Search Visibility (137), AI Agent Architecture (72), AI Business Ideas (41), and Open Source (41). Those four account for most of what I publish, because they are where most of the client questions land.
Three places to start. The AI search visibility guide is the hub for the largest cluster and links out to every spoke in it. Grok Imagine vs Midjourney is the image model comparison, rebuilt against live leaderboard data rather than left to go stale. OutreachIQ is the longest running system breakdown here, from first prototype through to a public repo.
Earn useful brand mentions across editorial sources, communities, and owned properties, then monitor citations, sentiment, accuracy, and business impact separately.
Create citation-ready content with answer-first sections, atomic structure, specific entities, original evidence, branded frameworks, and a disciplined sleeper-page refresh workflow.
AI deployment is where AI starts becoming useful: choosing repeatable workflows, connecting models to data and tools, adding controls, and getting teams to use the system.
AI agents need more than better prompts. Learn the lightweight control plane small teams can use for identity, permissions, logs, review, ownership, and shutdown.
Prompt libraries are useful, but reusable AI work is moving toward skills, connectors, subagents, and review steps. Here is how to turn a good prompt into a workflow asset.
Build an AI-era search roadmap with seed keywords, modifiers, Ahrefs Keywords Explorer, the BID method, click-potential checks, Brand Radar mention gaps, and topic-level prompt research.
A practical Ahrefs workflow for mapping brand entities, measuring search and AI visibility, diagnosing six gap types, comparing competitors, and turning findings into Fix, Build, or Influence actions.
Hermes Agent is powerful, but running an autonomous AI agent on a remote server raises real questions about safety, isolation, and cost. Here is exactly how I am setting mine up on a Hetzner CPX22, what Docker does to contain it, and what risks remain.
Hermes Agent with ChatGPT 5.5 as its brain: an open-source agent that builds its own skills, schedules tasks, and runs unattended. Why I am adopting the stack.
Codex is now a desktop super app with a built-in browser, annotation mode, and computer use. Claude Code is still a terminal-first local agent that writes cleaner code. Here is an honest comparison from someone who builds on both.
OpenAI GPT 5.5 review: 1M context, 82.7% Terminal-Bench, 85% ARC-AGI-2. What the benchmarks say, where Opus 4.7 still leads, and what it means if you build.
Connect Claude Code to DataForSEO through MCP for live keyword research, SERP analysis, audits, and scheduled reports without locking the workflow inside an SEO dashboard.
ELO scores, pricing and speed for 12 image models: Grok Imagine, Midjourney v7, Flux 2 Pro, GPT Image 2 and Nano Banana, plus category winners by use case.
OpenAI launched GPT Image 2 on 21 April 2026. 99% text accuracy, native reasoning, up to 4K resolution, and full API access. Here is what actually changed, what it costs, and what it means if you build with AI.
A full breakdown of the Etsy to Pinterest Pipeline: FastAPI dashboard, Claude Sonnet niche detection, smart image processing, research-backed scheduling, and why generic pin descriptions get throttled by Pinterest.
An honest builder's review of Claude Design by Anthropic. What it actually does, where it falls short, how it compares to Figma and Canva, and what it means for solo builders and designers.
Twelve Claude Code skills repositories ranked and reviewed by use case: marketing, design, web development, research, project management, and mega-collections.
One CLAUDE.md file, 199k GitHub stars: the 4 rules it enforces, how to install it in a minute, and the security check to run before trusting any CLAUDE.md.
Anthropic shipped Claude Opus 4.7 on 16 April 2026. Here is what actually changed: coding benchmarks up 13%, vision resolution tripled, a new xhigh effort level, task budgets, and what it means for production systems running on the Claude API.
Two separate leaks exposed references to Claude Opus 4.7, Sonnet 4.8, a new Capybara tier, and a next-gen family called Mythos. Here is what the leaks actually contained, what is confirmed, and what matters if you build on the Claude API.
Anthropic just shipped Claude Code Routines: saved automations that run on their cloud, triggered by schedules, API calls, or GitHub events. Here is what they actually do, how they compare to what existed before, and where they fit in a real automation stack.
No-code automation tools are great until they are not. Here is the honest framework for deciding when Zapier or Make.com is enough and when you need a custom AI system.
A full breakdown of the Camille Guillain AI Operating System: architecture, agent roles, memory, and how 70 to 80% of manual work was eliminated without losing the human voice.
A practical, opinionated comparison of Claude and ChatGPT from an AI systems builder with Anthropic certifications who still uses GPT models regularly. When each one wins, when neither fits, and how to decide for your business.
Every post here is about a system that actually shipped. Book a free call and let's talk about what could ship for you.
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