# Veristyle > AI-native fashion search and discovery for fashion and beauty brands. Veristyle turns your product feed into personalized, fit-aware recommendations on your store and in AI search, so you convert more and return less. Veristyle, Inc. is a B2B software company for fashion and beauty ecommerce. Computer vision reads every product in a catalog and tags 200+ style, fit, and color traits, powering two things: (1) GEO/AEO — making the catalog legible and citable to AI answer engines like ChatGPT, Google AI Overviews, Perplexity and Claude — and (2) personalized, fit-aware product discovery on the brand's own storefront. It installs on Shopify with no replatforming, and supports Salesforce, BigCommerce, and headless storefronts via API. Rated 5.0 on the Shopify App Store. ## Products - [Products overview](https://www.veristyle.ai/products): three product lines — GEO/AEO structured product data, the on-site Product Discovery app, and a Developer Toolkit (REST API, feed connectors, webhooks, SDKs) - [Pricing](https://www.veristyle.ai/pricing): Starter, Growth, and Enterprise plans; self-serve via the Shopify App Store, enterprise via a demo - [Free AI Visibility Audit](https://www.veristyle.ai/free-ai-visibility-audit): free tool that checks how visible a storefront is to AI search engines and what to fix - [Shopify App Store listing](https://apps.shopify.com/veristyle-gpt-optimization): install Veristyle on Shopify; verified merchant reviews ## Guides - [AI search optimization (GEO/AEO) for fashion & beauty brands](https://www.veristyle.ai/ai-search-optimization): what GEO/AEO is, why fashion and beauty brands need it, and how Veristyle implements it - [AI product discovery for ecommerce](https://www.veristyle.ai/ai-product-discovery): fit-aware, conversational on-site discovery — what it is and why retailers invest - [FAQ](https://www.veristyle.ai/faq): common questions on GEO, discovery, integrations, data, and pricing ## Solutions by audience - [Fashion & beauty brands](https://www.veristyle.ai/solutions/fashion-brands): For founders and owners of fashion, beauty, and jewelry brands: get your products recommended by ChatGPT and Google AI, and give shoppers fit-aware discovery on your own store. Shopify install, no replatforming. - [Retail ecommerce teams](https://www.veristyle.ai/solutions/retailers): For ecommerce and merchandising teams at retailers: conversational, fit-aware product discovery that lifts conversion and AOV, cuts returns, and scales merchandising without manual tagging. Works with Shopify, Salesforce, and headless. - [Marketing & growth teams](https://www.veristyle.ai/solutions/marketing-teams): For marketing, growth, and data teams: measure and grow your brand's citation share in ChatGPT, Perplexity, and Google AI Overviews. AI visibility reporting plus the catalog-level GEO that actually moves it. - [Developers & fashion apps](https://www.veristyle.ai/solutions/developers): For developers and fashion app builders: a REST API for product enrichment (200+ CV-derived traits), style- and fit-aware recommendations, feed connectors, webhooks, and SDKs. Shopify, Salesforce, and headless. ## Comparisons - [Veristyle vs. generic GEO tools](https://www.veristyle.ai/compare/veristyle-vs-generic-geo-tools): Generic GEO tools help you get indexed and monitored in AI search. Veristyle is built for fashion and beauty catalogs: it enriches every product with the fit, style, and occasion traits AI engines need to actually recommend you — and powers on-site discovery from the same data. - [GEO vs. traditional SEO for ecommerce](https://www.veristyle.ai/compare/geo-vs-traditional-seo-ecommerce): SEO earns ranked links from keyword-and-backlink signals; GEO earns citations inside AI answers from structured, entity-rich product data. Ecommerce brands need both — but the work, the metrics, and the failure modes are different. Here's the practical comparison. - [The best GEO tools for fashion & beauty brands (2026)](https://www.veristyle.ai/compare/best-geo-tools-fashion-beauty-brands): An honest guide to the Generative Engine Optimization tool landscape for fashion and beauty ecommerce: monitoring platforms, enterprise SEO suites with AI tracking, and catalog-level GEO — what each actually does, and how to choose for a product catalog. ## Glossary (definitions) - [AI answer engine](https://www.veristyle.ai/glossary/ai-answer-engine): An AI answer engine is a search system that responds to a question with a synthesized, conversational answer rather than a ranked list of links. ChatGPT, Perplexity, Google AI Overviews, and Claude are answer engines: they recommend specific products and brands directly, citing sources they can read and trust. - [AI citation share (visibility share)](https://www.veristyle.ai/glossary/ai-citation-share): AI citation share is the portion of AI-generated answers in a category that mention or cite a given brand — the answer-engine analogue of search ranking. If ChatGPT recommends dresses to a thousand shoppers and your brand appears in a hundred of those answers, your citation share is 10%. - [AI Overviews](https://www.veristyle.ai/glossary/ai-overviews): AI Overviews are Google's AI-generated answers that appear above the classic organic results, synthesizing a response from sources Google's models can read and cite. For many shopping queries, the Overview — not the first blue link — is now the first thing a shopper sees. - [AI product discovery](https://www.veristyle.ai/glossary/ai-product-discovery): AI product discovery is on-site search and browsing powered by machine understanding of products and shoppers: conversational search, style- and fit-aware recommendations, and complete-the-look suggestions in place of keyword search and static category grids. - [AI shopping agent](https://www.veristyle.ai/glossary/ai-shopping-agent): An AI shopping agent is an AI assistant that acts on a shopper's behalf — researching options, comparing products, filling carts, and increasingly completing checkout. Agentic shopping shifts the buying decision to software that only recommends products it can read, verify, and transact against. - [AI visibility](https://www.veristyle.ai/glossary/ai-visibility): AI visibility is how findable and recommendable a brand is across AI surfaces — answer engines, AI Overviews, and shopping agents. It spans access (can AI systems read you), understanding (do they interpret your products correctly), and citation (do they actually recommend you). - [Answer Engine Optimization (AEO)](https://www.veristyle.ai/glossary/answer-engine-optimization-aeo): Answer Engine Optimization (AEO) is the practice of making content and products understandable and citable by AI answer engines — systems like ChatGPT, Perplexity, and Google AI Overviews that reply with a synthesized answer instead of a list of links. AEO and GEO describe the same discipline. - [Fit-aware recommendations](https://www.veristyle.ai/glossary/fit-aware-recommendations): Fit-aware recommendations match products to a shopper's physical traits and fit preferences — proportions, rise, drape, cut — inferred from behavior and product understanding rather than size quizzes or measurements. The goal: fewer wrong-fit purchases, fewer returns, higher conversion. - [Generative Engine Optimization (GEO)](https://www.veristyle.ai/glossary/generative-engine-optimization-geo): Generative Engine Optimization (GEO) is the practice of structuring a brand's products and content so generative AI engines like ChatGPT, Google AI Overviews, and Perplexity can understand, recommend, and cite them. Where SEO competes for a ranked link, GEO competes to be the answer itself. - [Generative Search Optimization (GSO)](https://www.veristyle.ai/glossary/generative-search-optimization-gso): Generative Search Optimization (GSO) is a synonym for Generative Engine Optimization (GEO): optimizing content and product data so generative AI search systems can understand, recommend, and cite it. Different teams use GSO, GEO, or AEO — the practice is the same. - [LLM crawler](https://www.veristyle.ai/glossary/llm-crawler): An LLM crawler is a bot that fetches web pages on behalf of an AI system — for training data, for live answer retrieval, or for a user's specific question. GPTBot, ClaudeBot, PerplexityBot, OAI-SearchBot, and Google-Extended are LLM crawlers; blocking them makes a store invisible to the engines they feed. - [llms.txt](https://www.veristyle.ai/glossary/llms-txt): llms.txt is a plain-markdown file at a site's root that gives AI assistants a structured summary of the site: what the company is, what matters, and where the substance lives. Like robots.txt for permissions or sitemap.xml for URLs, llms.txt is the entry point an LLM reads first. - [Product feed enrichment](https://www.veristyle.ai/glossary/product-feed-enrichment): Product feed enrichment is the process of adding structured attributes to a product catalog beyond what merchants enter by hand — fit, silhouette, fabric behavior, occasion, style descriptors — so search engines, AI answer engines, and recommendation systems have real data to reason about. - [Retrieval-augmented generation (RAG)](https://www.veristyle.ai/glossary/retrieval-augmented-generation-rag): Retrieval-augmented generation (RAG) is the technique AI systems use to ground answers in live sources: retrieve relevant documents first, then generate the answer from them, citing what was retrieved. It's why being retrievable — crawlable, structured, quotable — determines whether a brand gets cited. - [Semantic product data](https://www.veristyle.ai/glossary/semantic-product-data): Semantic product data describes products in terms of meaning rather than keywords: fit, silhouette, material behavior, occasion, styling intent, and the relationships between them. It's what lets an AI system understand that a "relaxed linen blazer" suits a summer office and a beach wedding alike. - [Structured data (schema.org)](https://www.veristyle.ai/glossary/structured-data-schema-org): Structured data is machine-readable markup — usually JSON-LD using schema.org vocabulary — embedded in web pages to state facts explicitly: this is a Product, it costs this much, it has these reviews, this Organization sells it. Search engines and AI systems read it as ground truth about a page. ## Blog - [We ran an AI-visibility audit on our own site. Here's what was broken.](https://www.veristyle.ai/blog/ai-visibility-technical-audit): Sitemap dates that lied, a robots.txt that only half-welcomed AI crawlers, share images with no alt text. None of it was dramatic. All of it was costing us visibility. Here's the checklist we used to fix it. - [AI doesn't remember your SKU numbers. It remembers your story.](https://www.veristyle.ai/blog/ai-brand-story-not-sku-numbers): Your catalog turns over every season. Your brand narrative doesn't. The brands AI keeps recommending are the ones who figured out which of those two things actually matters. - [Your customer isn't searching for a trench coat](https://www.veristyle.ai/blog/back-to-work-transitional-ai-search): A shopper doesn't type a product name into ChatGPT. She types the situation she's actually in, like what to wear back to work when it's still warm out. Most catalogs still can't answer that. - [Two nearly identical products. Only one gets recommended by AI.](https://www.veristyle.ai/blog/product-data-clarity-ai-recommendations): We keep seeing the same pattern on calls: similar catalogs, similar prices, wildly different AI visibility. The gap almost never comes down to product quality. It comes down to clarity. - [Your homepage still says summer. The AI answering your customers already moved on.](https://www.veristyle.ai/blog/homepage-summer-ai-fall-intent): Shoppers are asking ChatGPT and Perplexity about fall layering while most homepages are still running summer sale banners. Here's the gap that's actually costing you, and how to close it. - [Your Labor Day sale is about to launch. AI assistants still think it's July.](https://www.veristyle.ai/blog/labor-day-sale-ai-visibility): Labor Day is the smallest of the big sale weekends, which is exactly why it gets rushed out the door with no AI-readable data behind it. Here's what a two-week fix looks like before the weekend hits. - [Nobody reads gift guides anymore. They ask for one.](https://www.veristyle.ai/blog/gift-guides-ai-shopper-questions): Shoppers used to click through a listicle to find a present. Increasingly they just ask an AI assistant, and most product catalogs have no idea how to answer a gifting question. - [Black Friday starts before November, and most catalogs aren't ready for it](https://www.veristyle.ai/blog/black-friday-peak-season-ai-readiness): Peak season prep used to mean stocking inventory and building a landing page. Now it also means making sure AI assistants already understand what you sell, weeks before the traffic shows up. - [She bought the skirt. Now she's asking AI what top actually goes with it.](https://www.veristyle.ai/blog/complete-the-look-ai-styling-recommendations): Shoppers rarely stop at one item. They ask AI to finish the outfit, and most product catalogs have no way to answer that question. Here's what's missing and how to fix it. - [It's 95 degrees outside. She's already asking AI what to wear in October.](https://www.veristyle.ai/blog/fall-transition-ai-shopping-search): Shoppers are researching transitional fall pieces weeks before the weather turns. Here's why that product data gap decides who gets recommended, and who gets skipped. - [She has a wedding in three weeks. Is AI recommending your dress?](https://www.veristyle.ai/blog/wedding-guest-season-ai-discovery): Wedding guest shopping is one of the highest-intent, most time-boxed purchases in fashion, and almost nobody is optimizing for it. Here's why that's a mistake and what to fix first. - [Getting found by AI is only half the job](https://www.veristyle.ai/blog/beyond-ai-search-onsite-personalization): AI search can send the right shopper to your site. What she sees when she gets there is still the same generic product page everyone else sees. Here's why that gap is costing brands the sale. - [Back-to-school shopping doesn't start with a search bar anymore](https://www.veristyle.ai/blog/back-to-school-ai-shopping-search): Parents and students are already asking AI what to buy for the new school year. Here's why that changes how fashion brands need to show up, and what to do about it before the rush hits. - [What it actually takes for AI to recommend your handbag](https://www.veristyle.ai/blog/handbag-ai-product-understanding): A shopper asks an AI assistant for a work bag that fits a laptop, or a gift for someone who only wears black. Here's what has to be true about your product data before your bag makes the answer. - [Your shopper's AI agent can check out without ever loading your homepage](https://www.veristyle.ai/blog/ai-shopping-agents-checkout-visibility): Recommending a product in ChatGPT used to be the finish line. Now the same assistant can complete the purchase itself, which means the finish line moved and most catalogs aren't ready. - [What one line in a Shopify review taught us about the bots nobody optimizes for](https://www.veristyle.ai/blog/llm-crawler-visibility): A Shopify App Store review mentioned 'LLM crawler technology' almost in passing. That phrase is doing more work than it looks like, and most fashion and beauty sites still aren't built for it. - [Is ChatGPT even allowed into your store?](https://www.veristyle.ai/blog/ai-crawler-access-fashion-ecommerce): Brands spend weeks tightening up product copy for AI search and never check the layer underneath: whether AI crawlers can actually reach the site at all. Here's what that layer looks like, and why it has to come first. - [What a five-star review taught us about how people actually shop for jewelry](https://www.veristyle.ai/blog/jewelry-brands-semantic-search): Nayiri Jewelry told us their customers search by feeling, not by filter. That single line explains why so many jewelry and accessories brands are invisible in AI search, and what to do about it. - [No, AI search optimization will not touch your product pages](https://www.veristyle.ai/blog/geo-without-changing-your-storefront): The question we get on almost every call: will this change what my site looks like? Here's what actually happens under the hood when you optimize for AI search, and why the answer is no. - [What does AI say about your brand when a shopper asks?](https://www.veristyle.ai/blog/what-ai-says-about-your-brand): AI doesn't just rank your brand in search results. It describes your brand to the shopper before they've visited your site. Most fashion brands haven't thought about what that description sounds like. - [She's not searching for products. She's searching for her trip.](https://www.veristyle.ai/blog/vacation-shopper-ai-discovery): The shopper asking AI what to pack for the Amalfi Coast isn't browsing. She has a flight booked and a budget to spend. Here's why most fashion brands aren't showing up in those answers. - [Your highest-value shoppers aren't on Google anymore](https://www.veristyle.ai/blog/high-aov-shopper-ai-search): The shopper who spends twice as much and returns half as often is searching differently. Here's what fashion brands need to know about where she's looking. - [Big catalogs don't win AI search. Better data does.](https://www.veristyle.ai/blog/indie-brands-ai-search-advantage): Independent fashion brands have a structural advantage in AI recommendations that most don't know they have — because it has nothing to do with catalog size. - [Your summer sale is live. AI assistants don't know it exists.](https://www.veristyle.ai/blog/summer-sale-ai-cant-find-you): Fashion brands are running their biggest promotions of the year — and losing a growing segment of buyers to brands whose catalogs AI can actually read. - [Your fashion brand's return rate is a discovery problem](https://www.veristyle.ai/blog/fashion-return-rate-discovery-problem): Most brands treat returns as a logistics issue. They're not. They start the moment a shopper can't find a product that genuinely matches what they're looking for — and that's fixable. - [AI search optimization for ecommerce PDPs: a 2026 guide](https://www.veristyle.ai/blog/ai-search-optimization-for-ecommerce-pdps): How to turn product detail pages (PDPs) into assets that convert shoppers and get cited by AI answer engines, without replatforming. - [How to get your products recommended in ChatGPT](https://www.veristyle.ai/blog/how-to-get-products-recommended-in-chatgpt): A practical checklist for fashion and beauty brands who want ChatGPT and other AI assistants to recommend their products by name. - [What is GEO / AEO, and why fashion brands need it in 2026](https://www.veristyle.ai/blog/what-is-geo-aeo-for-fashion-brands): A plain-English guide to Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) for fashion and beauty brands, and how to get your products recommended by ChatGPT and Google AI. - [AI shopping is moving fast, but brands still do not control how their products are interpreted](https://www.veristyle.ai/blog/ai-shopping-is-moving-fast-but-brands-still-do-not-control-how-their-products-are-interpreted): - [Universal Commerce Protocol (UCP): How Fashion & Beauty Brands Can Win in AI Answers](https://www.veristyle.ai/blog/universal-commerce-protocol-ucp-how-fashion-beauty-brands-can-win-in-ai-answers): - [Agentic Storefronts and the Future of Commerce](https://www.veristyle.ai/blog/agentic-storefronts-and-the-future-of-commerce): - [How AI Search Is Changing Shopify Traffic and What Fashion Brands Must Do Now](https://www.veristyle.ai/blog/how-ai-search-is-changing-shopify-traffic-and-what-fashion-brands-must-do-now): - [Why Most Fashion Product Feeds Fail in AI Search and How to Fix Them](https://www.veristyle.ai/blog/why-most-fashion-product-feeds-fail-in-ai-search-and-how-to-fix-them): - [Fashion Search vs Fashion Discovery](https://www.veristyle.ai/blog/fashion-search-vs-fashion-discovery): - [Why We Built Veristyle’s AI SEO Shopify App](https://www.veristyle.ai/blog/why-we-built-veristyles-ai-seo-shopify-app): - [Introducing Veristyle GEO — The First AI SEO and ChatGPT Commerce Solution Purpose-Built for…](https://www.veristyle.ai/blog/introducing-veristyle-geo-the-first-ai-seo-and-chatgpt-commerce-solution-purpose-built-for): ## Company - [About](https://www.veristyle.ai/about): company positioning and values - [Contact](https://www.veristyle.ai/contact): book a demo or email marketing@veristyle.com ## Optional - [Full site content for LLMs](https://www.veristyle.ai/llms-full.txt): concatenated article content in plain markdown - [Blog RSS feed](https://www.veristyle.ai/feed.xml) - [Medium publication](https://medium.com/veristyle)