Tool Evaluation Framework (Coverage × Depth × Locale)
A comparison methodology that scores GEO/AEO analysis tools on three axes — Coverage (breadth), Depth (actionability), and Locale (non-English accuracy) — instead of feature count.
#Tool Evaluation Framework#Coverage Depth Locale#GEO Tool Evaluation#AEO Tool Comparison#Tool Selection Criteria#AI Visibility Tooling
What is the Tool Evaluation Framework?
The Tool Evaluation Framework (Coverage × Depth × Locale) scores GEO/AEO analysis tools on three axes — Coverage (breadth), Depth (actionability), and Locale (non-English accuracy) — rather than counting features. Most tools are strong on one or two axes and weak on the rest, so the framework drives the practical decision: pick a primary tool, then layer in a secondary tool that fills its weakest axis.
The three axes
| Axis | Check question | What the score means |
|---|---|---|
| Coverage (breadth) | How many target LLMs does it cover? How many of the AEO 6 signals are auto-checked? | Breadth — what is covered |
| Depth (actionability) | Are recommendation cards "needs improvement" boilerplate, or do they include concrete code/sentence examples? Is there a time-series score view? | Depth — how usable |
| Locale (localization) | Does it evaluate non-English pages on native-language standards? Is non-English NER accurate? | Localization — non-English accuracy |
Score patterns by tool type
| Tool type | Coverage | Depth | Locale |
|---|---|---|---|
| robots/schema checker (single feature) | Low | Mid | Mid |
| Citation Tracker (monitoring) | Mid | High | Low–Mid |
| Global All-in-One | High | High | Low (English-first) |
| Locale-specialized tool | Mid | Mid | High |
A tool scoring 70+ on all three axes is rare. Set priorities based on operating stage.
How to apply
- Diagnose current operating stage. New brand (Coverage matters most) / B2B SaaS (Depth matters most) / heavy non-English operation (Locale matters most), and so on.
- Score candidate tools on the three axes. Rate each tool 0–100 per axis. If quantitative scoring isn't feasible, Low/Mid/High is a usable grading.
- Fill the weakest axis. Add a secondary tool to fill the axis where the primary is weak.
- Re-evaluate quarterly. The tool market shifts fast — recompute scores every quarter.
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