AEO Is Not SEO 2.0
The article argues that AI‑first entity optimization (AEO) is not a simple upgrade of traditional SEO but a fundamentally different paradigm. In large language model (LLM) responses, rankings and click‑throughs disappear, replacing them with brand‑level visibility that cannot be tracked by keyword positions. While core SEO practices—crawlability, structured data, site architecture—remain essential to get ingested, success now hinges on brand authority, third‑party mentions, and trust. Marketers must adopt new metrics that reflect LLM‑driven discovery rather than classic rank tracking.
THRICE Template for SEO Prioritization
The THRICE framework offers a transparent, score‑based method for ranking SEO initiatives. By applying a standardized rubric, teams can objectively compare projects and justify why certain ideas receive priority. The approach also lets individuals defer lower‑scoring work without friction, preserving...
Why Your SEO Tickets Get Ignored
In large organizations SEO recommendations often sit idle because developers view them as low‑priority maintenance. The article argues the root cause is a translation gap: SEOs speak traffic and rankings, while engineers prioritize user experience, technical debt, and feature delivery....
How Much Should You Invest in AEO?
The article cautions marketers against treating AI‑optimized search (AEO) as a blanket replacement for traditional SEO, urging a focus on where AI intersects the customer journey. It explains that top‑of‑funnel research queries are increasingly answered by LLMs, diverting low‑intent traffic,...