How AI scores domain names: the AIDotAL methodology
A detailed look at the 7-factor scoring model Claude uses to rank .al domain candidates — and how to optimize for a higher score.
Every .al domain candidate on AIDotAL receives a 0–100 brand-fit score. This score is not a black box — it comes from a transparent 7-factor model that Claude applies to every candidate.
The 7 scoring factors
1. Brevity (up to 20 points) Shorter domains are more memorable and easier to type. Domains under 5 characters receive the full 20 points.
2. Pronounceability (up to 15 points) Claude tests whether the domain sounds natural when spoken aloud — including the .al suffix.
3. AI/tech relevance (up to 20 points) Does the domain fit the AI-native market? Terms with established meaning in ML, neural networks, inference, or compute score higher.
4. Originality (up to 15 points) Unique coined terms or creative portmanteaus score higher than dictionary words that could apply to many products.
5. Memorability (up to 15 points) Domains that are distinctive, have a pleasing rhythm, or carry an unexpected visual effect are more memorable.
6. No hyphens (5 points) Hyphens kill brand recall. Every hyphen-free domain gets the full 5 points.
7. Clean spelling (up to 10 points) Intentional misspellings score lower unless the variant is very widely known.
Optimizing your search
To get the highest-scoring candidates, search for concepts rather than words. "edge inference platform" will produce more creative candidates than "edgeinfer".