AI app for marketing · no coding needed
Guided product comparison and purchase workspace
Reduce research time and abandoned comparisons while keeping purchase decisions with the buyer.
Made for: Shoppers and small retail teams comparing and buying products online
What it does for you
The problem
Product research is spread across search, comparison, price tracking, content and support tools, so buyers lose context and sellers lose the sale.
What it gives you
Buyer-approved comparison shortlists linked to checkout
What you give it
Natural-language queriesproduct dataprice feedsimagessupport questions
Build your own version of Claros, iMean Shopping and more
One app with what these 10 AI tools do, yours to keep and change: Claros, iMean Shopping, Lookverse.ai, iMerch.ai, Cressi, ChatGPT Shopping, Manifest AI, Perplexity Shopping, Lumona, Benjamin - AI Rewards Shopping Assistant.
Everything these tools do, in one app
- Natural language product search Lets users search for products using everyday language instead of keywords.Found in Manifest AI, Perplexity Shopping, ChatGPT Shopping
- Personalized recommendations Suggests products based on user preferences, browsing history, or stated needs.Found in iMean Shopping, Lookverse.ai, iMerch.ai and 2 more
- Product comparisons Shows side-by-side details like price, reviews, and features to help users decide.Found in iMean Shopping, ChatGPT Shopping, Manifest AI
- Price tracking and alerts Monitors prices and notifies users about discounts or price drops.Found in iMean Shopping
- Visual and image search Allows users to browse products visually or search using images.Found in ChatGPT Shopping
- Conversational refinement Enables users to narrow down results through follow-up prompts in a chat.Found in ChatGPT Shopping
- Automated data cleaning Cleans and preprocesses data automatically to prepare it for analysis.Found in Claros
- Interactive dashboards Provides customizable visual displays for exploring data in real time.Found in Claros, Lumona
- Automated report generation Creates reports that highlight key trends and insights from data.Found in Lumona
- Data source integration Connects to common data sources like spreadsheets and databases for easy import.Found in Claros, Lumona
- Collaboration tools Allows multiple users to work together on projects, share, and comment.Found in Claros, Lumona, Cressi
- AI text generation Generates written content with adjustable tone and style.Found in Cressi
- Grammar and spell check Checks and corrects grammar and spelling in generated text.Found in Cressi
- Template library Offers pre-made templates for different content types like blogs and emails.Found in Cressi
- Export options Allows exporting content in various formats for easy distribution.Found in Cressi
- Mobile-friendly storefronts Enables quick creation of mobile-optimized online stores.Found in iMerch.ai
- Multi-language support Supports multiple languages to serve a global audience.Found in Manifest AI
- Customer support automation Automatically handles customer queries to reduce support load.Found in Manifest AI
- Automatic coupon application Detects and applies available cashback offers and coupons at checkout.Found in Benjamin - AI Rewards Shopping Assistant
- Rewards tracking dashboard Tracks earned rewards and cashback balances in a summary dashboard.Found in Benjamin - AI Rewards Shopping Assistant
How it works, step by step
- Search products in everyday language
- Suggest products from stated needs and history
- Compare price, reviews and features side by side
- Track prices and alert on drops
- Search and browse by image
- Refine results through follow-up prompts
- Clean and preprocess imported product data
- Show interactive dashboards of trends
- Generate reports on key insights
- Connect spreadsheets and databases
- Share projects and comment with collaborators
- Generate product copy with adjustable tone
- Check grammar and spelling in generated text
- Offer templates for listings and emails
- Export content in multiple formats
- Build mobile-friendly storefronts
- Support multiple languages
- Answer customer queries automatically
- Apply coupons and cashback at checkout
- Track rewards and cashback balances
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned buyer-approved comparison shortlist linked to checkout with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Guided product comparison and purchase workspace with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Guided product comparison and purchase workspace with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links5 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare25 KB
- prompt-vps.mdThe same build on your own server (Docker)25 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
- demo/index.htmlThe working demo on sample data193 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce research time and abandoned comparisons while keeping purchase decisions with the buyer. For shoppers and small retail teams comparing and buying products online, convert natural-language queries, product data, price feeds, images and support questions into buyer-approved comparison shortlists linked to checkout. The benefit is a testable hypothesis, measured through completed comparisons per session and purchases after comparison; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect natural-language queries, product data, price feeds, images and support questions, then follow this sequence: 1. Search products in everyday language. 2. Suggest products from stated needs and history. 3. Compare price, reviews and features side by side. Resolve uncertain cases with qualified reviewers, approve buyer-approved comparison shortlists linked to checkout, and measure completed comparisons per session and purchases after comparison against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed product category and licensed data feed; final purchase and listing checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve buyer intent, source attribution, price accuracy and usage permissions. Buyers approve substantive changes and purchase scope. One fixed product category and licensed data feed; final purchase and listing checks remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One fixed product category and licensed data feed; final purchase and listing checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: search products in everyday language; suggest products from stated needs and history. Support the third module with operator review: compare price, reviews and features side by side. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Buyer-owned product data, authorized price feeds and permitted research sources. Cloud asset storage, spreadsheet and database import/export and checkout destinations. Start with file exchange and validate destination specifications before promising direct checkout. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Query and preferences, Comparison workspace, Checkout and rewards. Use a thumbnail gallery for saved products, a large central comparison canvas, and a right-hand panel for filters, price history and comments. Let users compare versions side by side. Display draft, shortlisted and purchased states. Provide a shared link with comments anchored to the relevant product. Make the task-specific outcome buyer-approved comparison shortlists linked to checkout visible beside its evidence, review state and value baseline.
