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Ranketta
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Built for Shoptet

Become the Shoptet
store AI recommends

Your Shoptet catalogue already sells to shoppers. Ranketta makes sure it sells to AI too, tracking which products get recommended and fixing the data gaps that keep others out.

Book a demoTry for free
4.9/5 stars on G2
Trusted by 1200+leading brands
BrainMarket
T-Mobile
Apify
Rossmann
O2
Metro
Škoda X
E.ON
Vilgain
GymBeam
CloudTalk
BrainMarket
T-Mobile
Apify
Rossmann
O2
Metro
Škoda X
E.ON
Vilgain
GymBeam
CloudTalk
Ranketta product visibility overview
Core Capabilities

Not just brand
visibility tracking

Most platforms count brand mentions. Ranketta tracks every product, fixes the product data holding it back, and points you at the prompts with real demand.

Product-level tracking

See exactly which products win AI recommendations in your category, and which get skipped.

Product-level tracking

Merchandising

An AI agent rewrites titles, descriptions, and attributes, with a confidence score on every fix, then connects the feed to the AI engines your shoppers use.

Merchandising

Prompt research

Pick prompts with real demand signals for every prompt you track, so you focus on what converts.

Prompt research
Create & measure

Ship it, then prove it worked

Publishing content is only half the job. Ranketta tracks the citations it earns, flags the site issues blocking AI crawlers, and shows the AI traffic it drives, so you can prove the impact, not just the output.

Citation tracking

See which domains AI cites in your category, then go after the ones that matter.

Citation tracking

Content studio

Generate listicles, comparisons, and guides AI models cite, built from the prompts you track.

Content studio

Site audit

A continuous crawl that flags the issues blocking AI from reading your site well.

Site audit
Connect & measure

Made for the
tools you use

Visibility data is only useful next to the metrics your team already tracks. These three connections put it there.

Model Context Protocol

Model Context Protocol

Bring Ranketta data into Claude, Cursor, or any MCP client and query prompts, citations, and audits directly.

MCP ServerConnected
list_prompts
get_citations
run_site_audit
get_sentiment
list_products
Looker Studio

Looker Studio integration

Pipe AI visibility metrics into your dashboards, alongside revenue, traffic, and campaign data.

Looker StudioConnected
AI visibility+18.4%
Revenue
$48.2K
Traffic
128K
AI visits
9.4K
Cloudflare

AI traffic attribution

Track AI bot visits at the edge and see which models crawl your site, how often, and where.

AI agents visits
Human trafficAI agents
Who uses Ranketta

Trusted by e-commerce,
D2C and agencies

Brands that use Ranketta don't watch rankings drift. They fix content, merchandise catalogs, and ship the changes that move them.

Jiří Votava
AI search is becoming a critical channel in e-commerce. With Ranketta, we finally gained real data on how often AI recommends our brand and where we have gaps. The platform helped us identify specific topics and content that improve our visibility in AI answers. Within the first months, we saw clear improvements in both position and share of voice.
Jiří VotavaCEO, BrainMarket
Insights & Updates

Practical guides for
e-commerce and D2C teams

Clear, actionable perspectives on AI-driven analytics, product metrics, and decision-making to help teams stay informed and ahead.

Sixty in, six out: in a test of 50 prompts in one retail category (Allison Huang, 2 October 2026), Meta's catalog offered about 60 products per prompt but Muse's final answer showed 6 cards, 4 of them from a browser session that visited about 3 domains.
Oct 16, 2026Insights

Meta Muse Picks Six Products From Sixty. Here's How It Chooses.

Meta Muse is Meta's AI shopping agent. How it picks products from its catalog and the open web, and what it takes to get yours recommended.

Read Newspaper
AI search optimization practices graded by evidence: proven, unproven, or made up.
Oct 14, 2026Guide

AI Search Optimization Best Practices: What the Evidence Supports

AI search optimization means making pages AI engines can fetch and quote. Which best practices have evidence – and which numbers nobody can source.

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97% of valid llms.txt files received zero requests across 38,360 domains in May 2026, according to Ahrefs server log analysis.
Oct 7, 2026Guide

What is llms.txt? What the evidence says, and who should actually publish one

llms.txt is a Markdown index at your root telling AI agents which pages matter. What 137K server logs show, what v2 changed – and who needs one.

Read Newspaper
Common Questions

Frequently Asked
Questions

What Ranketta is, who it is for, how pricing works, and how it differs from SEO tools.

Ranketta is an AI visibility and merchandising platform for e-commerce and D2C brands. It tracks how often AI assistants — ChatGPT, Google AI Overviews and AI Mode, Perplexity, Gemini, Claude, Copilot and Amazon Alexa — recommend your individual products, then fixes the catalog data and content behind those answers and connects the feed to the engines that read it. Unlike brand-monitoring trackers, Ranketta measures visibility per SKU, not per brand.
It depends on whether you need brand data or product data. Most AI visibility tools count how often your brand name appears in AI answers. Ranketta is built for stores with their own catalog: it tracks which of your individual products get recommended, why the others get skipped, and fixes the product data behind it. If you sell products, brand-level data will not tell you which SKU to fix. You can compare eight platforms side by side in our e-commerce guide.
Ranketta is built for teams that own a product catalog and need AI to recommend the individual products in it, not just mention the brand. E-commerce stores and D2C brands get SKU-level tracking, catalog enrichment and feed connections. Agencies run several clients from one account with share of voice and Looker Studio reporting. B2B and SaaS companies use Ranketta to see which competitors AI recommends instead of them and what to publish next.
Ranketta starts at €29 per month for the Tracker plan — 2 AI models, 30 prompts per model, one website and one country. Paid plans run from there to €199 for Growth and €449 for Scale, with shared monthly credits for merchandising, Agent Mode, and article generation. Every plan starts with a 7-day free trial, and extra credit packs start from €10 per month.
Agentic commerce is buying done by an AI agent on the shopper's behalf — the agent researches, shortlists and increasingly completes the checkout. Ranketta prepares your catalog for it: structured product data agents can read, feeds connected to ChatGPT, Google Merchant Center and marketplaces, and tracking of which agents actually surface your products.
Traditional SEO tools track keywords and backlinks. Ranketta tracks which products LLMs recommend, how often, and the sentiment around those mentions. We also help you improve rankings by drafting and publishing the content needed to secure your spot.
Yes. AI models look for similar signals as Google. Information density and structured data matter, and content we help you create improves visibility across both AI engines and Google.
No tool can guarantee a specific AI response because models update constantly. We identify the technical markers and citations engines look for, so following our suggestions gives you the highest chance of being recommended.
Always. We identify gaps and draft content, but nothing goes live without your approval. Review, edit, or reject any article before it syncs to your site.
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Become the product
AI recommends

See what AI recommends, find the content gaps, and fix them at catalog scale.

Book a demoTry for free