# Banavo Banavo 協助電商品牌衡量 AI 能見度，並最佳化產品目錄、PDP 和結構化資料，讓 AI 購物助理和搜尋工具能夠發現並推薦其產品。 - Findings24: - 網站: - 價格: Freemium - 分類: AI SEO工具 ## 什麼是 Banavo？ Banavo is an AI shopping optimization and ecommerce AEO platform for brands that want to see how their products are discovered, interpreted, and recommended by AI assistants and AI search tools. The site describes it as a way to measure AI visibility and improve the catalog, PDPs, and structured data that feed those systems. Its core workflow is to show where a brand wins or loses in AI shopping, then support optimization of product content and catalog data. The product pages emphasize an AI Promoter Score, AI persona snapshots, and optimization outputs such as PDP content enrichment and JSON-LD structured data updates. ## Banavo 能做什麼？ ### AI visibility measurement Tracks how products are discovered and recommended in AI shopping contexts across tools such as ChatGPT, Gemini, Google AI Search, Perplexity, and Claude. ### AI Promoter Score Provides a score for at least one product in the free audit flow, helping teams see whether AI systems are promoting the brand or surfacing competitors instead. ### Catalog and PDP optimization Supports optimization of product pages and catalog data so product information is more likely to be understood and surfaced correctly by AI systems. ### PDP content and attribute enrichment Higher plans include enrichment of product detail page content and attributes, which is useful when product data needs to be clearer or more complete for AI interpretation. ### JSON-LD structured data The pricing comparison shows JSON-LD structured data is included in paid plans, indicating support for schema-oriented product markup. ### Competitive benchmarking and perception analysis Growth and enterprise plans include competitive benchmarking and citations or perception analysis, giving teams more context on how products compare in AI responses. ## 使用情境 ### Audit how a product appears in AI shopping answers Use the free audit to check whether a product is visible, mentioned, or replaced by competitor products when shoppers ask AI what to buy. ### Improve underperforming product detail pages Review AI visibility gaps, then update PDP content and attributes so product pages provide clearer signals for AI assistants and search engines. ### Scale catalog optimization across a brand Use plan tiers that support 50 products weekly or more to keep product content aligned as catalog size grows. ### Compare your brand against competitors in AI results Use competitive benchmarking and citations/perception analysis to understand which competing products are being recommended and why. ### Support agency or multi-brand workflows Enterprise and agency plans are structured for multi-brand catalogs, with SSO, API access, and dedicated strategist support. ## 常見問題 ### What does Banavo do? Banavo helps ecommerce brands measure AI visibility and optimize catalogs, product detail pages, and structured data so products are more likely to be discovered and recommended in AI shopping experiences. ### Which AI platforms does Banavo mention? The site names ChatGPT, Gemini, Google AI Search, Perplexity, and Claude as AI surfaces where brand visibility matters. ### Does Banavo have a free option? Yes. The pricing page offers a free audit that includes an AI Promoter Score for one product and does not require signup. ### What is included on paid plans? Paid plans add broader catalog optimization, more brand prompt tracking, unlimited users, and, on higher tiers, competitive benchmarking, citations and perception analysis, and support for SSO, API, and a dedicated strategist. ### Is Banavo built for single brands or agencies? Both. The pricing page includes a starter plan for a single brand and an enterprise or agency option for multi-brand catalogs. ## 快速資訊 - **Category**: AI shopping optimization - **Platform type**: Web-based SaaS - **Primary users**: Ecommerce and retail brands - **Source domain**: banavo.ai - **Pricing model**: Free audit plus paid plans - **Notable workflow**: Measure AI visibility, then optimize catalog data, PDP content, and structured data