Switching AI Coding Agents? Preserve Your SEO Decisions
Keep the purpose of intentional canonical, redirect and indexing rules in the project handoff, then verify the affected routes after AI edits.
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 819 posts across 65 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 (139), AI Agent Architecture (73), AI News (48), and AI Business Ideas (46). 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.
Keep the purpose of intentional canonical, redirect and indexing rules in the project handoff, then verify the affected routes after AI edits.
Compare custom publishing with an established CMS through real editorial tasks, maintenance ownership, recovery and the ability to preserve search decisions.
Check portfolio image URLs, HTML references, CDN access and responsive fallbacks before treating a working browser preview as search readiness.
Shopify design studio lead Marvin Schwaibold shows Aaron Epstein how he prototypes with AI, built a grass shader, tuned a carousel through 91 iterations, and critiques six startup sites.
Use hyphens for new descriptive URLs, then assess existing-page changes against a real problem, dependency map and migration verification plan.
Help visitors verify the claim that brought them from an AI answer: connect the cited passage, supporting evidence, scope and next action on your page.
Map contact, booking, downloads and service enquiries to clear official destinations, with owners, honest labels and checks for conflicting paths.
Explore AI-assisted brand variation with fixed identity decisions, deliberately varied outputs and clear approval reasons across real production formats.
Turn identity guidelines into an approved AI production rule pack with examples, exclusions, versioned prompts, and review criteria for web and content teams.
Pair visual work with a source page that explains decisions, provenance, limits, and the outcome a viewer can actually evaluate.
Keep founder voice, taste, trade-offs, and exclusions in an AI-assisted brief so efficient drafting does not flatten the creative signal.
Audit CSS-generated copy before a visual treatment conceals the service facts that people and search systems need.
Use approved brand history to guide AI art direction with an evidence map, explicit interpretations, constrained exploration, and human selection.
Define editable AI design deliverables, record dependencies, and run a reopening test so clients can revise the work after the project ends.
Evaluate an AI-written creative brief against founder evidence, realistic scope, and unresolved decisions, with a worked example and a practical review rubric.
Diagnose missing Google favicons with a practical checklist for brand artwork, supported formats, hostname rules, crawl access, stable URLs, and recrawling.
Content Credentials are not a ranking switch. They are a provenance layer brands can use to preserve context, authorship, and edit history across AI-assisted asset workflows.
A consistent logo is not enough. AI-mediated discovery exposes breaks between the website, social content, video, service language, and the facts a brand asks others to repeat.
Stephen Haney and Aaron Epstein show why faster agents make human taste, visual comparison, deletion, and a code-connected canvas more valuable.
A recent typography shift in AI branding points to a larger trust problem: when the technology feels new and abstract, brands compensate with older visual signals of credibility and humanity.
Granola's July 2026 rebrand is a useful signal for AI-era brand building: the more the category drifts toward sameness, the more human texture becomes a commercial advantage.
Nick Saraev combines Nano Banana Pro, Seedance 2.0, Claude Code, and Vercel to turn a short AI video into an animated dithered hero. Here is the complete pipeline, a safer build prompt, performance limits, and deployment checklist.
Zubair Trabzada connects GPT-5.6 Sol, Codex, Higgsfield MCP, FFmpeg, and ChatGPT Sites to build cinematic product websites. Here is the source-checked workflow, original prompt, costs, limits, and production QA.
Structured data can describe a page, but it cannot repair a brand whose copy, images, video, proof, and profiles tell different stories. Use this consistency workflow.
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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Prepared answers · Public information