Product Naming
by @leooooooow
Test product names and listing titles for TikTok Shop conversion potential before going live by scoring hook strength, search fit, and compliance risk.
clawhub install product-namingπ About This Skill
name: product-naming description: Test product names and listing titles for TikTok Shop conversion potential before going live by scoring hook strength, search fit, and compliance risk.
Product Naming
Choosing the right product name and listing title can make or break conversion rates on platforms like TikTok Shop, Amazon, and Shopify, where shoppers scroll fast and algorithms reward click-through performance. A name that sounds great in a branding meeting may completely fail in a marketplace search result because it lacks keyword density, triggers the wrong audience expectation, or violates platform character limits and restricted word policies. This skill lets you test candidate product names and listing titles against a structured scoring framework before you go live, evaluating hook strength, search keyword fit, platform compliance risk, and audience resonance so you launch with the highest-converting title possible rather than guessing and optimizing after losing early traffic.
Use when
What this skill does
This skill evaluates candidate product names and listing titles across four scoring dimensions that directly impact marketplace performance. First, it assesses Hook Strength by analyzing whether the name creates an immediate emotional or curiosity trigger that stops a scrolling shopper β checking for power words, benefit-forward phrasing, and specificity that differentiates from generic competitors. Second, it scores Search Fit by evaluating keyword density, keyword placement within the title, long-tail search phrase coverage, and alignment with how real shoppers actually search on the target platform, using known patterns from TikTok Shop discovery, Amazon A9, and Shopify search behavior. Third, it runs a Compliance Risk Check by flagging words, claims, or formatting that are likely to trigger platform policy violations β such as prohibited health claims on TikTok Shop, restricted superlatives on Amazon, trademarked terms, or character limit overflows. Fourth, it evaluates Audience Resonance by assessing whether the name matches the language, tone, and expectation level of the target buyer persona β a Gen Z TikTok shopper responds to different naming conventions than an Amazon Prime buyer searching for household essentials. Each candidate receives a detailed scorecard with specific strengths, weaknesses, and concrete improvement suggestions.
Inputs required
Output format
The output is a Product Name Evaluation Report with four main components. The first component is a Side-by-Side Scorecard Table showing each candidate name scored from 1 to 10 on four dimensions β Hook Strength, Search Fit, Compliance Risk (inverted, so 10 means lowest risk), and Audience Resonance β along with a weighted overall score and a one-line verdict for each candidate. The second component is a Detailed Analysis per Candidate providing two to three paragraphs for each name explaining why it scored the way it did, calling out specific words or phrases that help or hurt performance, and identifying exactly what to change to improve each score dimension. The third component is an Optimized Title Recommendation that synthesizes the best elements from all candidates into one or two recommended final titles, with a clear explanation of why each word and structural choice was made and what tradeoffs were considered. The fourth component is a Platform Compliance Checklist specific to the target marketplace, flagging any restricted words, character limit status, required format elements like brand name placement or size specifications, and any claims that need substantiation or removal before the listing can go live without risk of suppression.