Use TAM to Forecast SEO/AEO
Traditional keyword‑based SEO forecasts rely on stacked guesses of search volume, CTR and conversion rates, making them unreliable—especially as AI answer engines increasingly satisfy queries without clicks. The article advocates a top‑down Total Addressable Market (TAM) approach, beginning with the full demographic pool and narrowing through segment, search‑usage, click‑potential and market‑penetration assumptions. By anchoring projections to real‑world population data, marketers can present models that CFOs and CEOs instantly recognize and can debate. This framework also accounts for the rise of AI‑Enhanced Organic (AEO), which reshapes click dynamics.
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...
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,...