Similo .co

Listing Optimizer Studio

Dual Search Optimization: Lexical Keyword Matching + Gemma Semantic Vectors

37 / 100 chars
184 chars

Target Search Keywords & Tags

NikeVintageSweatshirtSpelloutCrewneck

Dual SEO Health Score

Traditional Lexical + Semantic Vector AI

69%
Traditional Search
89%

Exact Keywords & Category Rules

Semantic Vector AI
49%

EmbeddingGemma (768d) Cosine Sim

Good foundation. Fine-tune suggested keywords and add rich context to rank higher on vector engines.

Buyer Search Intent Simulator

EmbeddingGemma 768d
“Nike authentic original in mint condition”
Moderate Match
Semantic Cosine: 53%Lexical Match: 50%Intent: Specific Model
“best price Nike fast tracked shipping”
Moderate Match
Semantic Cosine: 58%Lexical Match: 67%Intent: Condition/Budget
“trendy aesthetic Nike style outfit”
Low Match
Semantic Cosine: 52%Lexical Match: 20%Intent: Style/Vibe
“buy Nike near me pickup or delivery”
Moderate Match
Semantic Cosine: 53%Lexical Match: 29%Intent: Broad Discovery
“cheap used Nike good quality bargain”
Low Match
Semantic Cosine: 53%Lexical Match: 17%Intent: Condition/Budget
“rare vintage Nike retro design”
Moderate Match
Semantic Cosine: 59%Lexical Match: 40%Intent: Style/Vibe