AI Research Division · Local AEO
Local AEO vs Traditional SEO: A Side-by-Side Framework
The shift from keyword-based retrieval to entity-based retrieval reorders almost every traditional SEO priority. This is the side-by-side decision matrix operators need.
By Shayne Beavan
Founder, Deep AI Solutions · Inventor of record, 5 USPTO filings
8 min
The decision matrix
| Concern | Traditional Local SEO | Local AEO |
|---|---|---|
| Primary optimization unit | Page | Entity |
| Primary signal | Backlink graph | Citation density + JSON-LD |
| Primary surface | Google search results | LLM responses |
| Primary KPI | Rank for keyword | Mention rate across models |
| Secondary KPI | Click-through rate | Citation, rank, sentiment |
| Authority pump | Domain Authority | Source agreement |
| Content cadence | High volume, broad keywords | Lower volume, deep retrieval surface |
| Local proof | GBP reviews | Cross-platform NAP agreement |
What changes for operators
The work is no longer about producing more pages. The work is about ensuring the truth about the business is structured, consistent, and retrievable across the surfaces that AI systems index.
A traditional SEO program that produces volume without structural rigor will lose ground to a leaner program that produces less content but invests in entity infrastructure.