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TFSD Listing Audit
Score any Amazon listing across Title, Features, Search Terms, and Description. Deterministic rules, no AI, no API. Get the specific issues to fix.
Free TFSD listing audit
Paste your listing fields. Get a TFSD score across all four layers, plus the specific issues to fix. Built from 15 deterministic rules.
Runs entirely in your browser. 15 rules across 4 layers. The Deep Audit ($99) extends this with funnel diagnosis, review-pain mapping, and LLM-driven prescriptions.
How TFSD scoring works ▾
The TFSD framework treats your listing as four independent layers, each with its own job. The audit checks each layer against deterministic rules pulled from Amazon's published policies and from the patterns we see in production audits.
- Title (T) — primary relevance signal. Rules cover length, brand position, keyword placement, and Amazon's banned characters and promo phrases.
- Features (F) — bullets carry the bulk of indexed keywords. Rules cover bullet count, individual length, and the 1,000-byte indexing cap across all five.
- Search Terms (S) — backend, invisible to shoppers, capped at 249 bytes US/UK/EU. Rules check the byte limit, separator format, and title duplication.
- Description (D) — context and brand voice. Rules cover length and the HTML deprecation (plain text only since 2021).
Each layer scores 0-100 based on rule pass rate. Overall score is the average across all four. For deeper diagnostics (funnel-stage breakdown, review-pain mapping, LLM-driven prescriptions), see the Deep Audit.
Common questions
What is the TFSD framework? ▾
TFSD stands for Title, Features (bullets), Search Terms (backend), and Description. It is the four-layer model Keywords.am uses to optimize Amazon listings. Each layer carries different weight: Title is the primary relevance signal, Features carry bulk indexed keywords, Search Terms cover non-visible long-tail, and Description sets context. The audit scores all four independently.
What is this tool actually checking? ▾
A deterministic rule engine: 5 title rules (length, brand position, primary keyword in first 80 chars, banned promo, prohibited symbols), 5 feature rules (5 bullets present, length per bullet, indexed-bytes window, banned promo, title-overlap), 3 search-term rules (under 249 bytes, no commas, no title duplicates), and 2 description rules (length, no HTML). No AI, no API. Pass/fail per rule, weighted score per layer.
How does this differ from the Deep Audit? ▾
This tool gives you a free static rule check. The Deep Audit ($99 per ASIN) runs the full Keywords.am pipeline: live SellerApp keyword data, scraped reviews, SERP positions, AI-driven funnel-stage diagnosis, and review-pain mapping. The free tool catches the deterministic problems. The Deep Audit answers the harder question of where in the funnel your listing actually leaks.
Why does my title score look low even though it reads fine? ▾
Common culprits: missing brand at start (Amazon recommends Brand → Type → Features), primary keyword pushed past character 80 (mobile-cutoff zone), or one of the explicitly banned promo phrases ("best seller", "free shipping", "100% guaranteed"). The detail line under each rule explains what the check found.
Listing not converting?
Audit a single ASIN end-to-end
The Deep Audit catches what byte counts and rule engines miss: funnel-stage diagnosis, review pain clusters, keyword-presence scoring against your listing copy. $99 per ASIN.
Run a Deep Audit →Manage many listings?
Catch issues across your whole catalogue
Keywords.am scans every listing weekly, flags problems before search rankings drop. From $49/mo.
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