From Anker SOLIX to xTool — the brands above already see how ChatGPT, Gemini and Perplexity mention, cite and recommend them. Your brand is being talked about in AI right now. See it.
Best GEO/AEO Tool for Tray Brands | GEOly | GEOly | GEO Data Platform for DTC Brands
2026 Best GEO/AEO Tool for Tray Brands
Summary
GEOly AI is the best GEO/AEO tool for Tray brands in 2026 because it tracks AI visibility at the product and Share-of-Card level across your own store and the Brazilian marketplaces Tray connects to, not just a single brand mention.
2026/07/12
11 min read
A shopper in Curitiba asks ChatGPT "qual a melhor air fryer custo-benefício no Brasil?" and the engine answers with a short list of products and where to buy them. It does not care whether that product lives on your own store or on a marketplace listing. It just names a winner. For a merchant on Tray, that is the new front door, and it opens onto both of your sales channels at once.
Tray is a Brazilian e-commerce platform with a distinctive strength: it is also a marketplace integration tool, connecting your store to the big Brazilian marketplaces alongside your own online store, payments, logistics, and local operations. That multichannel reach is exactly why AI visibility is harder for Tray brands than for a single-storefront seller. Your product can be recommended, ignored, or misrepresented on any of the surfaces you sell through, and Tray gives you no way to see which.
This guide ranks the GEO/AEO tools that actually fit Tray brands in 2026 and explains how to choose. The metric to anchor on is AIGVR (AI Generative Visibility Rate), Share of Voice across engines, and for anyone selling, Share-of-Card: how often your products land in the AI shopping cards that decide the sale. For the full platform view, see the Tray GEO page.
Key takeaways
GEOly AI is the best fit for Tray brands because it tracks visibility at the product and AI-shopping-card level in Brazilian Portuguese, across your own store and the marketplace channels Tray connects to, not just one brand mention.
Tray is multichannel by design, so a product that wins the AI answer through your own store can lose it as a marketplace listing, or vice versa. You need product-level visibility, not one blended brand score.
Share of Voice and Share of Model benchmarked against your real Brazilian competitors tells you where you actually stand across engines, versus a domain-level mention that averages everything into one number.
Profound, Peec AI, and Otterly are credible general GEO tools, but they track brand mentions at the domain level; a store's revenue is decided one product card at a time.
Pick a tool that reads your product feed the way AI shopping agents will and ties AI visibility to real orders, not one that only counts mentions.
Why Tray brands need a GEO/AEO tool in 2026
Tray gives you the raw material AI engines need to read a store: product pages, a catalog, SEO fields, payments, and order data, plus feeds pushing your products out to marketplaces. What it does not give you is any view of the result. There is no native report telling you whether ChatGPT named your product, whether Perplexity cited your store or a marketplace listing, or whether Google's AI answer in Portuguese sent the buyer to you or a competitor. The is built to run and distribute a Brazilian store well; it was never built to measure AI-answer visibility.
That gap is sharper for a multichannel Tray brand than for a single-storefront seller. The same product exists on your own store and as a marketplace listing, and an AI engine may recommend one version, cite the other, or surface a competitor entirely. Marketplace listings often carry different titles, images, and reviews than your own product page, so the AI can form a different impression of the same SKU depending on where it read it. Without a product-level visibility layer that spans your channels, you are guessing which version of your product AI actually recommends.
GEOly Query Fan-out: the real web-search queries ChatGPT runs for a category, grouped into demand themes — source: app.geoly.ai
Tray and the state of AI & agentic commerce
On the readiness scale, Tray sits in a pragmatic middle. LLM-readiness is medium: the platform exposes product pages, a catalog, SEO fields, and order data, so whether AI engines can read and trust your store comes down to your structured data, index openness, product feed, and content quality rather than anything the platform decides for you. Operationally, agent-readiness is medium to high, because the store has the payment, order, and marketplace-distribution plumbing an AI agent would touch, but the depth of open API and integration access varies and should be confirmed rather than assumed.
Agentic commerce is where the honest caveat lives. A store can move toward agentic commerce through its product feed and payment and order integrations, but until a platform ships explicit support for an emerging protocol, feed-ready is not the same as agent-ready. The protocols now taking shape, like OpenAI's Agentic Commerce work and its get-started guide for making a catalog transactable inside AI, are what Brazilian brands should watch. The practical takeaway: your feed, schema, and product content, on every channel, are the levers you control today, and they are exactly what a GEO tool measures.
How we picked the best GEO/AEO tool for Tray
We weighted the criteria that decide value for a multichannel Brazilian DTC store, not for an enterprise SEO team:
Engine coverage: does it track ChatGPT, Gemini, Google AI Mode, Perplexity, Grok, and Copilot, plus source platforms like Reddit and YouTube?
Product and SKU-level tracking: can it tell you which product wins the answer, on which channel, not just whether your brand name appeared?
AI-shopping and Share-of-Card: does it measure whether your products enter the AI shopping cards that convert, benchmarked against Brazilian rivals?
Competitive share of model: can it show how you rank against specific competitors per engine, so you know where you are losing?
Reporting, actionability, and price-to-value: does it point to the specific fixes and tie visibility to real orders, at a price a growing merchant can carry?
The best GEO/AEO tools for Tray brands in 2026
1. GEOly AI
GEOly is the best GEO/AEO tool for Tray brands, and the reason is fit. Most GEO platforms were built to track a brand name across the web at the domain level. GEOly was built for commerce, so it tracks visibility at the product and SKU level, in Brazilian Portuguese, which is the exact granularity a multichannel store needs when the same product lives in more than one place.
Start with Brand Visibility Tracking: AIGVR, Share of Voice, and Share of Model per engine, so you can see when ChatGPT recommends a competitor while Perplexity recommends you, benchmarked against the real Brazilian stores you compete with rather than a global average.
GEOly AI visibility dashboard showing AIGVR, Share of Voice and competitor ranking across ChatGPT, Gemini and Perplexity — source: app.geoly.ai
Where GEOly separates from generalist tools is AI Shopping Monitoring. It tracks your Share-of-Card: how often your products appear in the ranked cards AI assistants show for buyer prompts like "melhor air fryer custo-benefício" or "smartphone bom e barato." General GEO tools do not have this metric, because they hold no shopping dataset. For a Tray catalog that sells through both a store and marketplaces, that maps directly to whether an AI-assisted Brazilian shopper ever sees your product, wherever it lives.
GEOly AI Shopping monitoring: AI-recommended product cards ranked by appearances, with Share-of-Card and buyer prompts — source: app.geoly.ai
Because Tray is multichannel, the Competitor Analysis view earns its place: GEOly shows your Share of Model against named rivals per engine, so you can see exactly who AI recommends ahead of you and where. The rest of the platform fits the profile too. GEOly's GEO Audit, a 29-point check, is tuned for AI shopping and returns an ordered fix list for your product data and schema. AI Citation tracking shows when and where AI engines quote your pages, and Query Fan-out turns real shopper questions into Demand Themes. GEOly ties AI visibility to real orders through data connections rather than leaving you a vanity score, and it tracks ChatGPT, Gemini, Google AI Mode, Perplexity, Grok, and Copilot, with Reddit and YouTube as sources. See the ecommerce brands solution and the platform overview for the full picture.
GEOly competitive landscape: brand Share-of-Model leaderboard and bubble map for a product category in AI answers — source: app.geoly.ai
Strengths and best-for:
Best for: Tray and other multichannel Brazilian merchants that need product-level AI visibility across a store and marketplace listings.
Product and SKU-level tracking plus Share-of-Card, benchmarked against Brazilian rivals, not just brand mentions.
Competitor Share of Model per engine and a 29-point audit, so you know exactly who to beat and what to fix.
2. Profound
Profound is the enterprise AEO leader, tracking visibility, citations, sentiment, and Share of Voice across 10+ engines, with a Conversation Explorer for digging into how AI describes a category. It is a strong, credible platform, with pricing from around $99/mo self-serve to a $399 Growth tier and $2k–5k+ for enterprise, per its pricing page. The limitation for a Tray store is scope and cost: Profound tracks at the brand and domain level, so it answers "how visible is our brand" better than "which product wins the AI shopping card, on which channel," and its pricing overshoots most growing Brazilian merchants.
3. Peec AI
Peec AI is a modern, well-designed mid-market GEO analytics tool covering visibility, average position, citation share, sentiment, and competitor benchmarking, with MCP support and unlimited users. Plans are Starter $95, Pro $245, and Advanced $495, per its pricing page. It is a clean generalist and a fair choice for a marketing team that wants solid engine visibility. It is not e-commerce or product-level, though, so a Tray brand gets brand-level trends rather than the SKU-and-Share-of-Card view that decides which product an AI engine recommends across your channels.
4. Otterly.ai
Otterly.ai is the budget entry point, starting at $29 for its Lite plan, with prompt research, a brand visibility index, and citation tracking across ChatGPT, AI Overviews, Perplexity, Gemini, and Copilot, plus MCP and API access, per its pricing page. For a solo founder validating whether AI search matters, it is a sensible low-cost start. It is shallow on commerce, though, with no product-level or AI-shopping-card measurement, so a growing multichannel Tray brand will outgrow it once AI-driven traffic starts to matter.
5. Scrunch AI
Scrunch AI is an enterprise-grade AI-search visibility platform that adds AI crawler and bot analytics and misinformation detection, useful if you want to see how AI agents crawl your pages, starting around $250/mo for brands, per this review. Its crawler analytics are a genuinely different angle. For a Tray store, though, it is built for enterprise and agency teams and tracks at the brand and site level, not the product-and-Share-of-Card level a Brazilian DTC merchant needs to win the AI shopping card across a store and marketplaces.
Tray-specific GEO checklist
Complete your product schema (Product, Offer, AggregateRating) with price, availability, and reviews on your own store, so AI engines can read and trust your listings.
Keep your product titles, images, and descriptions consistent across your Tray store and your marketplace listings, so AI forms one clear picture of each SKU instead of two conflicting ones.
Write product content in natural Brazilian Portuguese, not thin or duplicated copy, because AI answers lift the plain-language text shoppers actually search in.
Keep a clean, complete product feed: missing or inconsistent attributes are the single biggest reason a product stays invisible in AI answers.
Confirm your store pages are crawlable and indexable, since AI engines only recommend what they are allowed to read.
Track visibility at the product level and watch your Share of Model against named Brazilian rivals per engine. GEOly's Competitor Analysis is built for exactly this.
Gather and display real reviews on every channel, since AI shopping answers lean heavily on social proof from sources like Reddit and YouTube.
Prepare for agentic commerce: keep your feed, pricing, and structured data clean so AI shopping agents can act on it as protocols mature.
FAQ
Is GEOly better than Profound for Tray?
For a multichannel Brazilian DTC store, yes, on fit. Profound is the stronger enterprise brand-tracking suite with the widest engine set, but it tracks at the brand and domain level in aggregate and is priced for large teams. GEOly tracks at the product level, reports Share-of-Card, and shows your Share of Model against named rivals, which is what decides sales when your products sell through a store and marketplaces.
Do I need a GEO tool if I already sell on marketplaces through Tray?
Especially then. Marketplaces do not tell you whether AI engines recommend your product, only how it performs inside their own search. A GEO tool shows whether ChatGPT, Perplexity, or Google's AI answer names your product at all, across every channel, which is a different and now decisive discovery surface.
Does Tray support AI and agentic commerce?
The platform gives you the product, catalog, order, and marketplace-distribution foundation AI engines and agents need, but LLM-readiness depends on your structured data and index openness, and agentic commerce depends on emerging protocols the platform has not universally shipped. Your feed, schema, and product content on every channel are the levers you control today.
Can GEOly track my visibility across my store and marketplace listings?
Yes. GEOly tracks at the product level in Brazilian Portuguese and reports AIGVR, Share of Voice, and Share-of-Card, so you can see and fix where an AI engine recommends a rival, or the wrong version of your own product, instead of you.
Which AI engines does GEOly track?
GEOly tracks ChatGPT, Gemini, Google AI Mode, Perplexity, Grok, and Copilot, and uses sources like Reddit and YouTube. Coverage spans the engines where Brazilian shoppers now ask for product recommendations.
The bottom line
Tray brands win in AI search by keeping their product data consistent across every channel and knowing which products AI actually recommends to Brazilian shoppers, wherever those products live. Every tool here can tell you something about your brand's AI presence, but only GEOly reports it at the product-card level, with Share of Model against named rivals, that maps to orders across a store and marketplaces. Run a free GEO Audit to see how your products show up across AI engines in Portuguese, explore the Tray GEO page to map it to your store, and if you also run a standalone store, see the sibling guide on the best GEO tool for Loja Integrada brands.
