Klevu ‑ AI Search & Discovery

Klevu ‑ AI Search & Discovery Logo

Klevu ‑ AI Search & Discovery

Rating

50

%

Recommended

(

1

reviews

)

Pricing

From $449/month. Free trial available.

Developer

Launched

11-Aug-16

Klevu ‑ AI Search & Discovery Logo

Klevu ‑ AI Search & Discovery

Rating

50

%

Recommended

(

1

reviews

)

Pricing

From $449/month. Free trial available.

Developer

Launched

11-Aug-16

Klevu ‑ AI Search & Discovery Logo

Klevu ‑ AI Search & Discovery

Rating

50

%

Recommended

(

1

reviews

)

Pricing

From $449/month. Free trial available.

Developer

Launched

11-Aug-16

AI Search & product discovery platform that significantly improves conversion rate and AOV.

Perfect for busy merchandising teams, Klevu advanced AI search and recommendations engine helps companies efficiently increase on-site search revenue. Plus, shoppers get personalized product recommendations, and are able to quickly find what they need through our filter and navigation features on product listing pages. Fully compatible with Shopify Markets. With our innovative features, retailers can provide customers with an enjoyable, streamlined shopping experience.

Categories:

Search and filters, Upsell and cross-sell

Integrations:

Shopify Flow, contentful, Klaviyo, Markets, Trustpilot, Vue, Yotpo

Shopify Flow, contentful, Klaviyo, Markets, Trustpilot, Vue, Yotpo

Languages:

English

English

Filter Reviews

Operator reports

50

%

Recommended

(

1

reviews

)
Photo of Reviewer Alesia B.

Alesia B.

Role:

Marketing

Category:

Home & Decor

Shopify Plan:

Plus

Overall satisfaction

Neutral

May 20, 2024

Years of use:

1-2 years

Relationship with this product:

I both used it and influenced the buying decisions

Still use this tool:

Yes

Importance:

Valuable but not essential

What exceeded expectations

Both manual and AI powered visual merchandising have made it easier to promote our most valuable products.

What was disappointing

Limitations added to some data and content being displayed, impact on site speed and edits.

Photo of Reviewer Alesia B.

Alesia B.

Role:

Marketing

Category:

Home & Decor

Shopify Plan:

Plus

Overall satisfaction

Neutral

May 20, 2024

Years of use:

1-2 years

Relationship with this product:

I both used it and influenced the buying decisions

Still use this tool:

Yes

Importance:

Valuable but not essential

What exceeded expectations

Both manual and AI powered visual merchandising have made it easier to promote our most valuable products.

What was disappointing

Limitations added to some data and content being displayed, impact on site speed and edits.

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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: "" }