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Insights

See the systems, before we scope the work.

Systems, workflows, and POVs: thirty-day series from live builds, plus arguments worth defending. Quick links to each series below. If you're evaluating a systems build or upskilling, the operating layer is published here. You'll know how Reimagen works before the first conversation.

Series 01Complete

30 Days of AI Systems

June to July 2026

Thirty days inside the systems Reimagen runs on: daily operating rhythm, a curated Obsidian vault, sales pipeline and CRM hygiene, research agents with spend limits and security guardrails, and the DevOps reality behind prototypes that ship. Systems over tools, prompts, and hacks.

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Series 02Up next

30 Days of AI Creative Production

Starts August 31, 2026

The studio production counterpart to the systems run. Thirty days inside the behind the scenes creative workflows, production systems, and tooling. Tutorials, sneak-peeks, and insights.

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Point of View

AEO hype vs. reality

People ask AI agents for recommendations, comparisons, and summaries before they ever click through to your website. Agent-friendly matters more than chasing acronyms.

What Reimagen Recommends

Fix the foundation, then earn the citation.

Spending on AEO is wasted if agents can't reach your site or your story is too vague to quote. Fix the foundation first: structure, copy, proof, accessibility.

SEO vs. AEO / GEO

The acronyms layer. They don't replace.

Search is still a core discovery channel. Answer and generative engine optimization sit on top of it.

What to Avoid

Volume isn't a citation strategy.

Weak backlinks and AI-written filler earn nothing. Agents recommend brands that are accessible, specific, and backed by evidence.

The Baseline Fix

robots.txt opens the crawl. llms.txt hands agents the brief.

Allow the crawlers behind the top chat agents your customers use: Google (Googlebot), OpenAI (GPTBot), Perplexity (PerplexityBot), Anthropic (ClaudeBot), Microsoft Copilot (Bingbot). Publish llms.txt at the root with what you sell, who it is for, proof, and page links. Without access, these agents will never see your brand.

The Real Work

Embed your golden dataset into agent-friendly structure.

Gather citeable facts about your brand: what you sell, who it's for, proof, structured FAQs. Put them in renderable HTML with clear headings, sitemap.xml, metadata, and schema.org JSON-LD. When a customer asks who matters, the agent retrieves public data and synthesizes the answer from whatever you made easy to parse.

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