Sellura vs eRank: Which Etsy SEO Tool Fits How You Work?
By The Sellura team · Updated June 6, 2026
eRank is the most established Etsy keyword-research tool out there, and it earns that reputation: a huge keyword database, years of historical trend data, and a large seller community. If your job is to dig through keyword tables and study demand over time, eRank is genuinely hard to beat.
Sellura solves a different problem. Instead of handing you data to interpret, it gives your listing a deterministic 0-100 SEO score, then tells you the single most valuable thing to fix and exactly how to fix it. This page lays out where each tool wins honestly, so you can pick the one that matches how you actually work.
The core difference: a research library vs. a scored fix list
eRank is a research environment. You search a keyword, read its estimated monthly searches, competition number, and a trend graph, then decide what to do with that information. The interpretation is on you. That's powerful in expert hands and overwhelming when you have 40 listings and an hour.
Sellura is a scoring engine. You paste a listing (or generate one), and it returns a number from 0 to 100 plus a breakdown of five weighted factors. Every weak factor comes with one plain-language fix written against a specific Etsy rule, not a vague 'improve your keywords.'
Neither is 'better.' eRank rewards time and curiosity. Sellura rewards busy sellers who want to know what to change next without becoming an SEO analyst first.
How Sellura's 0-100 score actually works
The score is rule-based, not a black box and not an AI guess. The same listing always produces the same number, and every point is explainable. Five factors are weighted to sum to 100:
- Title front-load (20 pts): is your main keyword inside the first ~40 characters, where mobile shoppers and Google look first?
- Title relevance and length (20 pts): does the title cover the product plus a differentiator and use most of the 140-character allowance?
- Tags (30 pts, the heaviest factor): are all 13 slots filled with multi-word long-tail phrases rather than single generic words?
- Description quality (20 pts): do the first ~160 characters lead with your keyword, with enough real selling copy after?
- Materials and attributes (10 pts): are materials and product attributes filled in to match buyer filters?
- Because the weights are fixed and visible, you can see precisely why a listing scored 68 and which factor is dragging it down. AI is layered on top only to phrase the fix in plain English, never to compute the score.
One specific fix per weak factor, not a data dump
This is Sellura's sharpest contrast with a keyword tool. When a factor is weak, you get a concrete instruction tied to your own listing, for example:
'Using 8/13 tag slots; 3 are multi-word. Fill all 13 with 2-3 word phrases buyers actually search.' Or: 'Move your main keyword ("soy candle") into the first 40 characters of the title.'
That tag point matters more than sellers expect. A long-tail phrase like 'soy candle gift' beats the single word 'candle' on two fronts: lower competition and higher buyer intent. Sellura's score literally rewards multi-word tags and flags wasted slots like singular-plural duplicates. eRank gives you the raw keyword data to figure this out yourself; Sellura applies the rule and tells you what to type.
Honest demand signals vs. estimated search volumes
Here is where we draw a hard line. Etsy does not publish exact monthly search volumes for keywords. Nobody outside Etsy has them.
eRank shows an 'estimated monthly searches' number, which many sellers find useful as a directional signal and a way to compare phrases. That's a legitimate approach, and the depth of eRank's historical data behind those estimates is a real strength.
Sellura deliberately never shows a fake-precise search-volume number. Our demand signal is built from two things Etsy actually reveals: where a phrase ranks in Etsy's own autocomplete, and the number of competing listings for it. We label it as an estimate, in plain words, every time. If live data isn't available, we say so and fall back to deterministic long-tail suggestions rather than inventing a figure. You should choose based on which philosophy you trust more.
AI listing generation and public-URL analysis
Sellura generates a full, Etsy-rule-compliant listing from a short brief: a front-loaded title within 140 characters, 13 long-tail tags each within 20 characters, materials, and a structured description (keyword-led opening, then benefits, sizes, care, shipping, and a call to action). It writes to the limits instead of leaving you to count characters.
The competitor tools work from any public Etsy listing URL. Paste a rival's link and the analyzer reads their public title and description, infers likely keyword phrases, and seeds a stronger original listing for you. The free Listing Grader scores any public listing 0-100 on the same front-load, length, keyword-variety, and description rules.
We're honest about a limit here: Etsy keeps every seller's 13 tags private. So our competitor tools never pretend to read a rival's tags; they grade only what the public page actually exposes and say so explicitly. eRank's bulk and audit tools operate more inside your own shop data once connected.
Who each tool suits best
Choose eRank if keyword research is the work you enjoy and have time for: deep historical trends, a large keyword database, mature bulk tooling, and an established community to learn from. Power researchers get more raw material from eRank.
Choose Sellura if you're a capable seller who is short on time and wants a clear verdict: a 0-100 score, the one factor to fix next, a specific instruction tied to real Etsy rules, AI-generated listings that already respect every character limit, and demand signals that never overstate what Etsy actually reveals.
Plenty of sellers could reasonably use both: eRank to explore a niche's keyword landscape, Sellura to turn a draft into a scored, fixed, ready-to-publish listing.
Sellura vs eRank, feature by feature
| Feature | Sellura | eRank |
|---|---|---|
| Primary output | A 0-100 SEO score with one specific fix per weak factor | Keyword tables, trend graphs, and audit reports to interpret yourself |
| Keyword database depth & history | No large historical database; live Etsy autocomplete + competing-listing counts | Large keyword database with years of historical trend data (a real strength) |
| Search-volume numbers | None by design; shows demand as a labeled estimate, never an exact volume | Shows estimated monthly searches as a directional signal |
| Demand signal source | Etsy autocomplete rank + number of competing listings, always labeled an estimate | Proprietary estimates from a large historical dataset |
| Deterministic, repeatable score | Yes; the same listing always returns the same number, every point explainable | Audit scores available; less of a single fixed deterministic 0-100 engine |
| AI full-listing generation | Yes; title, 13 tags, materials, and structured description within Etsy limits | Tag and keyword suggestions; not a full Etsy-rule-compliant listing writer |
| Analyze a competitor by public URL | Yes; reads the public title & description, infers keywords, grades 0-100 | Strong bulk and audit tooling, oriented around connected-shop data |
| Reading a competitor's 13 tags | No, and says so; Etsy keeps tags private, we never pretend to read them | Also cannot read private tags; focuses on your own shop's data |
| Free entry point | Free Listing Grader scores any public Etsy listing 0-100 | Free tier available with limited daily searches |
| Best for | Busy sellers who want a clear verdict and the next fix, fast | Power researchers who enjoy deep keyword data and trends |
FAQ
Is Sellura a replacement for eRank?
Not exactly, because they do different jobs. eRank is the stronger keyword-research library with deep historical data. Sellura is a scoring-and-fixing engine that tells you what to change in a listing right now. Many sellers research in eRank and finalize in Sellura.
Why doesn't Sellura show monthly search volumes like eRank?
Because Etsy does not publish exact search volumes, so any precise number is an estimate. We'd rather give you signals Etsy actually reveals: a phrase's rank in Etsy autocomplete and the count of competing listings, clearly labeled as an estimate, than show a number that looks more exact than it is.
Can either tool see a competitor's actual 13 tags?
No. Etsy keeps every seller's tags private, so no tool can read them. Sellura is upfront about this; our competitor analysis works only from the public title and description and infers likely keywords from there.
How is Sellura's 0-100 score calculated?
It's a fixed, rule-based engine, not an AI guess. Five weighted factors sum to 100: title front-load (20), title relevance and length (20), tags (30), description (20), and materials and attributes (10). The same listing always scores the same, and every point is explainable.
Does Sellura use AI?
Yes, but only to phrase fixes and generate listings in plain language. The score itself is computed by deterministic rules. AI never decides your number; it just helps you write the title, tags, and description that improve it.
Which should I pick if I only have an hour a week?
Sellura. Paste or generate a listing, read the score, and apply the one fix it flags for the weakest factor. eRank is the better choice when you have time to research a niche's keywords in depth.
eRank and Sellura aren't really competing for the same hour of your day. eRank is the deep keyword-research library, with historical data and a community that power users genuinely value. Sellura is the deterministic 0-100 SEO score that names your weakest factor and hands you one specific, Etsy-rule-based fix, plus AI listings that already respect every character limit and demand signals that never claim more precision than Etsy actually gives. If you want to study keywords, reach for eRank. If you want to know what to fix next and ship it, reach for Sellura.