Introducing AVA: The AI Visibility Auditor for E-Commerce
Online shopping is changing fast, and artificial intelligence is a big reason why. Think about it: AI tools like ChatGPT and Gemini are everywhere now. They're not just fancy ideas; they're how people find products, learn about brands, and decide what to buy. This means a new era for e-commerce, where how well AI sees and talks about your brand can make all the difference to your business.
At Syntheum AI, we built AVA - our AI Visibility Auditor - to act like a mirror for brands, showing them exactly how AI engines like ChatGPT and Gemini interpret their products, spot misalignments, and flag missed opportunities in the AI-driven shopping landscape. Who is the fairest of them all? Now you’ll know.
Why it matters: Syntheum’s AI Visibility Auditor (AVA) helps brands navigate the AI-driven e-commerce landscape, where tools like ChatGPT and Gemini shape how consumers discover products and brands.
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AVA’s role: AVA analyzes how AI engines interpret brands, pinpointing misalignments and highlighting untapped opportunities in digital retail.
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AI’s impact: These tools power product searches, brand narratives, and purchase decisions, making AI visibility crucial for business success.
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The big picture: Combining human creativity with AI tools like AVA automates repetitive tasks, empowering sales teams to focus on strategy.
What’s next: As AI increasingly dictates what shoppers see, solutions like AVA will help brands stand out in this evolving retail reality.
In This Article
Let’s continue to mix human creativity with clever AI tools. This way, we can automate the boring, time-consuming jobs that often slow down online sales teams. By giving businesses tools like AVA, we want to help brands not just survive, but actually win in a retail world where AI increasingly decides what shoppers see - and what we'll show you next is exactly how that happens.
Why Brand Visibility Has Changed
For years, e-commerce teams optimized around Google search results. Metadata, keywords, backlinks, and structured content ruled the playbook. But today, shoppers are asking questions in ChatGPT, Gemini, Perplexity, and Claude - not typing brand names into a search bar.
Instead of displaying ten blue links, these platforms generate direct answers. Whether or not your products appear in those responses determines if you’re even seen. Visibility is no longer confined to SEO metrics; it’s about how agentic AI models understand and present your brand.
When your site data is incomplete or inconsistent, AI systems may misclassify or ignore your products entirely. This means lost visibility, distorted brand positioning, and missed revenue opportunities.
That’s where AVA – the AI Visibility Auditor – comes into play.
What AVA Does
AVA is a free diagnostic tool from Syntheum.ai. It helps e-commerce brands understand how their sites appear within AI-driven systems.
In a few minutes, AVA audits your site across major AI models like ChatGPT and Gemini to show how they interpret your content, brand tone, and catalog data. It surfaces misrepresentations, missing attributes, and inconsistencies that might be affecting your presence in AI-powered discovery.
Core Problems AVA Solves
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Incorrect Product Representation: Finds AI-driven errors that skew perception or push shoppers to competitors.
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Outdated Brand Messaging: Identifies when AI models still use old positioning or pricing narratives.
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Missing Content Signals: Highlights product pages or attributes that lack key data models rely on, allowing you to make critical additions.
Each audit includes practical recommendations for agentic ecommerce dependent merchandisers and marketing teams to correct misalignment before it damages shopper trust.
How AVA Works
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Submit Your Website – Enter your domain into the AVA interface.
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AI Model Testing – AVA queries multiple AI systems with real shopper questions (e.g., “best women’s running shoes under $150”).
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Visibility Scoring – The tool analyzes how often your brand appears, how it’s described, and which competitors it’s compared to.
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Gap Identification – It flags missing metadata, incorrect product grouping, and off-brand descriptions.
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Actionable Results – You receive a structured report with visibility scores and next-step recommendations.
AVA doesn’t overwrite your site or auto-optimize pages. It gives you the visibility to act with precision, linking off-site AI behavior to on-site strategy.
Why Merchandisers Need an AI Audit
The SEO-to-GEO Shift
Traditional SEO optimized for human searchers. Today, success also depends on Generative Engine Optimization (GEO) - ensuring that large language models can read and correctly interpret your content.
When shoppers ask AI assistants for recommendations, your brand will only appear if its data is complete, current, and machine-readable. AVA helps ensure that.
The Scale Problem
Large retailers often have thousands of SKUs, each with dozens of attributes. Manually checking how AI perceives every product is impossible. AVA automates this process, scanning your catalog at scale and revealing which attributes or messages cause misrepresentation.
Key Benefits of Using AVA
1. Protect Brand Trust
AI-driven misinformation can distort how customers view your brand. AVA surfaces inaccuracies early so you can correct them before they spread.
2. Align On-Site and Off-Site Perception
See whether your intended positioning (“premium home fitness brand”) matches how AI models categorize you (“budget exercise equipment”). Then adjust your metadata and copy to close the gap.
3. Identify Content and Schema Gaps
AVA pinpoints missing structured data that prevents your products from appearing in AI results - including price ranges, attributes, and ratings.
4. Gain Competitor Intelligence
Learn which brands AI compares you to and whether those comparisons are beneficial. This helps refine differentiation strategies.
5. Reduce Manual Workload
AVA condenses hundreds of AI interactions into one clear report, freeing teams to focus on creative and strategic merchandising decisions.
Example Scenarios and Use Cases
Launching a New Product Line
A footwear company runs an AVA audit before launching a premium line. The results show that AI systems still categorize them with discount athletic brands. After enriching product data and updating messaging, a second audit shows a clear repositioning toward premium competitors.
Quarterly Brand Health Check
A retailer schedules recurring AVA audits to track shifts in AI visibility as platforms evolve. This ongoing monitoring ensures that brand narratives stay accurate.
Investigating Conversion Drops
If conversion suddenly falls despite steady traffic, an AVA report can reveal whether AI models are recommending competitors more prominently or describing your products incorrectly.
Benchmarking Against Competitors
By auditing multiple brands in a category, you can measure how your AI visibility compares - and identify what others are doing right.
Practical Tips for Improving AI Visibility
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Add Structured Data
Use schema markup for product attributes like color, material, and price.
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Keep Messaging Consistent
Make sure product names and descriptions align across your website and feeds.
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Experiment with llms.txt
A new file format similar to robots.txt that guides how AI models crawl and interpret data.
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Ask AI Tools Directly
Manually query ChatGPT or Gemini to see how they describe your brand.
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Update Regularly
Outdated pages mislead models and reduce visibility over time.
Frequently Asked Questions
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Who should use AVA?
AVA is built for e-commerce merchandisers, marketing teams, and brand managers who want to understand how AI-driven systems interpret their catalog or brand.
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Does AVA change my website or data?
No. AVA is diagnostic only. It identifies visibility issues and offers suggestions - you control what changes to implement.
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How often should an audit be done?
Most teams run AVA quarterly or after major site updates to ensure new content and products are accurately reflected in AI responses.
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Is AVA limited to certain AI models
It currently supports key models like ChatGPT and Gemini, with plans to expand coverage as new platforms emerge.
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How can I improve my AVA results?
Focus on structured product data, consistent metadata, and up-to-date brand copy. The clearer your site, the easier it is for AI to interpret correctly.
Conclusion: Building AI-Aware Merchandising
AI-driven discovery is now a defining part of e-commerce. Visibility depends as much on how AI systems perceive your data as on how shoppers browse your site.
AVA gives merchandisers the clarity they need to see what AI sees - and correct course before misinterpretation affects performance. It bridges the gap between human strategy and machine understanding, helping brands stay visible in generative search, conversational commerce, and automated shopping assistants.
Running a free AVA audit isn’t just a technical step; it’s a proactive strategy to secure your place in the next phase of digital merchandising.
About Syntheum.ai
We help e-commerce retailers implement agentic ecommerce merchandising solutions that go beyond basic automation. By integrating truly intelligent systems into merchandising strategies, we help businesses unlock their full potential - delivering efficiencies that improve operations and redefine what’s possible in online sales.
