Free tool · No signup · 3 uses per day
Free eBay Title Generator
Generate SEO-optimized 80-character eBay titles from your item photos — no signup, 3 free uses per day. Built on the same vision AI that powers FlowLister's full listing flow.
Free · no signup · 3 uses per day
How to write eBay titles that actually rank
Good eBay titles aren't creative writing. They're keyword Tetris. Every one of the 80 characters eBay gives you is a slot you're trying to fill with a word a buyer might type into the search bar — nothing else. If the word doesn't help a buyer find your listing, it doesn't belong in the title.
The fastest way to get this right is to start by imagining the exact phrase a motivated buyer would search for. For a pair of Nike Air Max 270s in black/white, men's size 10, that's something like nike air max 270 black white men 10. Write that out first, then pad with secondary keywords: condition (EUC, NWT, refurbished), category terms (running shoes, sneakers), and buyer-flagged attributes (low top, athletic, lifestyle). Stop only when you've used all 80 characters.
The temptation is to fill leftover space with punctuation, stars, or words like beautiful, amazing, or L@@K. Resist. Those characters are slots you're giving up. A title packed with 12 real keywords always outranks the same title with 9 keywords and three stars.
The 80-character rule — and why keyword stacking works
eBay gives you exactly 80 characters for a fixed-price listing title. Motor parts get slightly different structured-title rules, but for the ~90% of sellers listing clothing, electronics, home goods, collectibles, and shoes, the number is 80. Use them all.
Keyword stacking is the practice of packing as many buyer-typed search terms as possible into that 80-character window — separated by single spaces, no connectors. Cassini tokenizes titles on whitespace, matches buyer queries against those tokens, and returns ranked results. More relevant tokens = more matched queries = more listings surfaced.
Two patterns that consistently outperform:
- 1.Brand + model first. Buyers searching by brand are the highest-intent buyers on eBay. Put Nike, Lululemon, Coach, Pyrex, or whatever applies in the first 10 characters.
- 2.Synonyms, not repeats. “Sneakers” and “running shoes” are both searched; use both. “Sneakers sneakers shoes” is Cassini spam.
eBay Cassini algorithm — what it actually weights in 2026
Cassini is eBay's search engine — the ML system that ranks listings when a buyer types a query. Titles are one of the biggest inputs but not the only one. From eBay's own published Seller Hub guidance and the observable behavior of search results, the ranking factors that consistently matter are:
- Title-query relevance. Exact-phrase matches between the buyer's query and the title tokens get the largest boost. This is the single biggest lever sellers control.
- Item specifics completeness. Brand, size, color, material, MPN. Listings with 15+ filled item specifics outrank listings with 5. Cassini uses specifics to serve faceted-search filters.
- Sell-through rate + velocity. How many times this listing (or listings like it) has sold and how recently. Hard to hack; just list what actually sells.
- Seller reputation + defects. Your feedback score, late-ship rate, defect rate, INR/SNAD case rate. Cassini applies a seller-level multiplier.
- Listing freshness. Newly listed items get a temporary visibility boost. Relisting old unsold inventory as new (via GTC + revise or sell-similar) is a legitimate tactic; over-relisting to reset the clock is a defect trigger.
A strong title stacked with 12 real keywords plus 15+ filled item specifics is the combination that moves the needle. A perfect title with empty specifics under-performs a weak title with complete specifics — which is why our full FlowLister listing flow auto-populates both in one shot.
Category-specific title formulas that work
Different categories have different title conventions. The formulas below are what consistently ranks across the top 10% of listings in each vertical. Adapt to your item's specifics, but start from the template.
Clothing
Brand · Item type · Gender · Size · Color · Material · Condition · Style
Lululemon Align Leggings Women Size 6 Black High-Rise 25" Nylon NWT Yoga
Electronics
Brand · Model · MPN · Capacity / Variant · Color · Condition · Generation
Apple iPhone 14 Pro 256GB A2651 Deep Purple Unlocked Excellent Condition
Collectibles / Trading Cards
Year · Set · Player / Character · Card # · Parallel · Grade · Edition
2020 Topps Chrome Luis Robert #78 RC Rookie Silver Refractor PSA 10 Gem Mint
Vintage
Era · Brand · Item · Material · Color · Size · Distinguishing detail
Vintage 1970s Pyrex Butterfly Gold Cinderella Mixing Bowl Set 4 Nesting USA
Common title mistakes that kill your search visibility
ALL CAPS titles
“NIKE AIR MAX 270 MEN SIZE 10 BLACK WHITE” doesn't rank higher, looks spammy to buyers, and triggers a quality signal against you. Title Case or lowercase both work; ALL CAPS does not.
Unicode stars, hearts, fire
★, ❤, 🔥, L@@K— none of them are keywords. They burn characters that could've held “rare”, “vintage”, or “deadstock”. Clean ASCII wins.
Filler words (“look!!”, “wow”, “amazing”)
Nobody searches eBay for “amazing shoes”. Replace every filler word with a real keyword: a size, a material, a synonym, a condition code. Every word is a search slot.
Keyword stuffing with irrelevant terms
Adding “like Gucci Louis Vuitton Hermes” to a generic handbag title is against eBay's search manipulation policy and can trigger listing removal or account action. Cassini also actively discounts listings that look keyword-spammy.
When AI-generated titles beat manual titles (and when they don't)
The 2026 generation of vision AI — GPT-4o, Claude Opus, Gemini 2 — can read a tag, extract brand/model/size/material, and write an 80-character keyword-stacked title in about 2 seconds. For the 80% of listings where you're working with a clearly branded item with a readable tag, AI titles consistently beat hand-written titles on two dimensions: character efficiency (every slot is used) and keyword coverage (AI includes synonyms sellers forget).
Where AI titles fall short:
- •Unbranded vintage and one-of-one items. AI can't invent buyer-typed search terms for something with no canonical brand. A human reseller who knows “granny square afghan” sells better than “crochet blanket” will beat the AI here.
- •Trading cards + TCG. Structured card titles need exact set names, card numbers, and parallel names. Generic AI models hallucinate card details. Use a category-specific tool, or check our sold-comps guide to verify.
- •Niche collector jargon. “MIB”, “NRFB”, “HTF”, “OOAK” — AI may miss community-specific modifiers that collectors actually search for. A post-AI manual review still pays off.
For everything else — the retail clothing resale, the electronics flips, the designer handbag trade, the vintage Pyrex box lot — AI title generation is a genuine edge. It's why we built this tool, and why the full FlowLister listing flow extends it to auto-generate description, item specifics, and comp-based pricing in the same pass.
Related tools & guides
Frequently Asked Questions
Answers to the questions Google surfaces most for this topic.
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