App Reviews

SEOAnt ‑ AI SEO Optimizer

SEOAnt ‑ AI SEO Optimizer Logo

Built for Shopify

SEOAnt ‑ AI SEO Optimizer

Rating

100

%

Recommended

(

1

reviews

)

Pricing

Free plan available. Free trial available.

Developer

SEOAnt

Launched

19-Mar-19

Write a Review

Visit Shopify Page

SEOAnt ‑ AI SEO Optimizer Logo

Built for Shopify

SEOAnt ‑ AI SEO Optimizer

Rating

100

%

Recommended

(

1

reviews

)

Pricing

Free plan available. Free trial available.

Developer

SEOAnt

Launched

19-Mar-19

Write a Review

Visit Shopify Page

SEOAnt ‑ AI SEO Optimizer Logo

Built for Shopify

SEOAnt ‑ AI SEO Optimizer

Rating

100

%

Recommended

(

1

reviews

)

Pricing

Free plan available. Free trial available.

Developer

SEOAnt

Launched

19-Mar-19

Write a Review

Visit Shopify Page

SEOWILL(formerly SEOAnt): Track & Boost Your Store’s Visibility in Google, ChatGPT, Claude and more.

SEOWILL (formerly SEOAnt) grow your store traffic and sales with AI-powered SEO automation. No coding or SEO expertise needed. Generate high-ranking blog posts, discover keyword opportunities, and get actionable SEO fixes to improve your search rankings faster. Improve your store performance with automated speed optimization, meta tags and alt text, broken link redirects. Auto-generated structured data and llms.txt — helping search engines and AI search better under and recommend your store.

Categories:

SEO, Blogs

Integrations:

Checkout, Shopify Flow, Shopify Admin, ChatGPT, Google Search Console, judge.me, Loox, PageFly, sidekick

Checkout, Shopify Flow, Shopify Admin, ChatGPT, Google Search Console, judge.me, Loox, PageFly, sidekick

Languages:

English, Chinese (Simplified), Portuguese (Brazil), French, German, Italian, Spanish, Dutch, Czech, Danish, Finnish, Japanese, Korean, Norwegian (Bokmål), Norwegian, Polish, Turkish, Thai, Chinese (Traditional)

English, Chinese (Simplified), Portuguese (Brazil), French, German, Italian, Spanish, Dutch, Czech, Danish, Finnish, Japanese, Korean, Norwegian (Bokmål), Norwegian, Polish, Turkish, Thai, Chinese (Traditional)

Filter Reviews

Reset Filters

IN THEIR WORDS

Operator reports

100

%

Recommended

(

1

reviews

)
Photo of Reviewer Michael T.

Michael T.

Role:

E-commerce Manager

Category:

Fashion & Apparel

Shopify Plan:

Plus

Sign up to see full profile and meet with this brand

Overall satisfaction

Very Satisfied

Dec 5, 2025

Years of use:

Less then 1 year

Relationship with this product:

I both used it and influenced the buying decisions

Still use this tool:

Yes

Importance:

Critical for me to do my job

What exceeded expectations

I really appreciate that they don't just focus on one area. This app covers a lot of topics like broken links, missing / duplicate H1, and image compression. It truly does everything it can to help you gain an edge, but also educate you on what your doing wrong. I think anyone starting a store, needs this app.

What was disappointing

I found that using the Speed Score metric and the features it enables didn't have a huge impact, but maybe it could be that the theme I use is already very fast, so trying to increase this score is hard. Perhaps it's more effective on lower-scoring themes. The themes I used were Enterprise & Symmetry.

Photo of Reviewer Michael T.

Michael T.

Role:

E-commerce Manager

Category:

Fashion & Apparel

Shopify Plan:

Plus

Sign up to see brand details

Overall satisfaction

Very Satisfied

Dec 5, 2025

Years of use:

Less then 1 year

Relationship with this product:

I both used it and influenced the buying decisions

Still use this tool:

Yes

Importance:

Critical for me to do my job

What exceeded expectations

I really appreciate that they don't just focus on one area. This app covers a lot of topics like broken links, missing / duplicate H1, and image compression. It truly does everything it can to help you gain an edge, but also educate you on what your doing wrong. I think anyone starting a store, needs this app.

What was disappointing

I found that using the Speed Score metric and the features it enables didn't have a huge impact, but maybe it could be that the theme I use is already very fast, so trying to increase this score is hard. Perhaps it's more effective on lower-scoring themes. The themes I used were Enterprise & Symmetry.

Related Apps

import * as React from "react" type Props = { name: string slug: string description: string image: string developer: string categories: string pricing: string launchedAt: string dateModified: string ratingValue: number ratingCount: number faqQ1: string faqA1: string faqQ2: string faqA2: string faqQ3: string faqA3: string faqQ4: string faqA4: string faqQ5: string faqA5: string } export function SchemaMarkup(props: Props) { const { name, slug, description, image, developer, categories, pricing, launchedAt, dateModified, ratingValue, ratingCount, faqQ1, faqA1, faqQ2, faqA2, faqQ3, faqA3, faqQ4, faqA4, faqQ5, faqA5 } = props const scriptContent = ` (function () { var ORIGIN = window.location.origin; var SAT = { "Very Satisfied": 100, "Neutral": 50, "Not Satisfied": 0 }; var AGG_NOTE = "Percentage of vetted Shopify merchants and agency operators who recommend this app, based on first-party reviews collected by app store research."; function read(root, key) { if (!root) return ""; var el = root.querySelector('[data-k="' + key + '"]'); return el ? el.textContent.trim() : ""; } function iso(v) { if (!v) return null; var d = new Date(v); return isNaN(d) ? null : d.toISOString().slice(0, 10); } function notes(text) { return { "@type": "ItemList", "itemListElement": [{ "@type": "ListItem", "position": 1, "name": text }] }; } var root = document.getElementById("asr-seo-data"); if (!root) return; var NAME = read(root, "name"); var SLUG = read(root, "slug"); if (!NAME || !SLUG) return; var PAGE_URL = ORIGIN + "/shopify-app-reviews/" + SLUG; function collectReviews() { var out = []; Array.prototype.forEach.call( document.querySelectorAll(".asr-review-seo"), function (n) { var author = read(n, "author"); var pos = read(n, "positive"); var neg = read(n, "negative"); if (!author || (!pos && !neg)) return; var r = { "@type": "Review", "author": { "@type": "Person", "name": author }, "itemReviewed": { "@id": PAGE_URL + "#app" } }; var d = iso(read(n, "date")); if (d) r.datePublished = d; var s = read(n, "satisfaction"); if (s && SAT.hasOwnProperty(s)) { r.reviewRating = { "@type": "Rating", "ratingValue": String(SAT[s]), "bestRating": "100", "worstRating": "0", "alternateName": s }; } if (pos) r.positiveNotes = notes(pos); if (neg) r.negativeNotes = notes(neg); out.push(r); } ); return out; } function buildGraph(reviews) { var app = { "@type": "SoftwareApplication", "@id": PAGE_URL + "#app", "name": NAME, "url": PAGE_URL, "applicationCategory": "BusinessApplication", "operatingSystem": "Web (Shopify)" }; var v; if ((v = read(root, "description"))) app.description = v; if ((v = read(root, "image"))) app.image = v.replace(/&/g, "&"); if ((v = read(root, "developer"))) app.author = { "@type": "Organization", "name": v }; if ((v = read(root, "categories"))) app.keywords = v; if ((v = read(root, "pricing"))) { app.offers = { "@type": "Offer", "price": "0", "priceCurrency": "USD", "description": v }; } if ((v = iso(read(root, "launchedAt")))) app.datePublished = v; if ((v = iso(read(root, "dateModified")))) app.dateModified = v; if (reviews.length) app.review = reviews; var rv = read(root, "ratingValue"); var rc = parseInt(read(root, "ratingCount"), 10); if (reviews.length && rv && rc > 0) { app.aggregateRating = { "@type": "AggregateRating", "ratingValue": String(parseFloat(rv)), "bestRating": "100", "worstRating": "0", "ratingCount": String(rc), "description": AGG_NOTE }; } var graph = [app]; var faq = []; for (var i = 1; i <= 5; i++) { var q = read(root, "faqQ" + i); var a = read(root, "faqA" + i); if (q && a) { faq.push({ "@type": "Question", "name": q, "acceptedAnswer": { "@type": "Answer", "text": a } }); } } if (faq.length) { graph.push({ "@type": "FAQPage", "@id": PAGE_URL + "#faq", "mainEntity": faq }); } graph.push({ "@type": "BreadcrumbList", "@id": PAGE_URL + "#breadcrumb", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Home", "item": ORIGIN + "/" }, { "@type": "ListItem", "position": 2, "name": "Shopify App Reviews", "item": ORIGIN + "/shopify-app-reviews" }, { "@type": "ListItem", "position": 3, "name": NAME, "item": PAGE_URL } ] }); return graph; } function build() { var reviews = collectReviews(); var old = document.getElementById("asr-jsonld"); if (old && old.dataset.count === String(reviews.length)) return; if (old) old.remove(); var s = document.createElement("script"); s.type = "application/ld+json"; s.id = "asr-jsonld"; s.dataset.count = String(reviews.length); s.textContent = JSON.stringify({ "@context": "https://schema.org", "@graph": buildGraph(reviews) }); document.head.appendChild(s); } if (document.readyState === "loading") { document.addEventListener("DOMContentLoaded", build); } else { build(); } [300, 900, 2000].forEach(function (ms) { setTimeout(build, ms); }); })(); ` return ( <> {/* HIDDEN DIV – provjeri da li je ID tačan */} {/* SCRIPT TAG – OBAVEZNO zatvoren */} </> ) } SchemaMarkup.defaultProps = { name: "Naziv aplikacije", slug: "slug-aplikacije", description: "", image: "", developer: "", categories: "", pricing: "", launchedAt: "", dateModified: "", ratingValue: 0, ratingCount: 0, faqQ1: "", faqA1: "", faqQ2: "", faqA2: "", faqQ3: "", faqA3: "", faqQ4: "", faqA4: "", faqQ5: "", faqA5: "" }