Twenty rounds of back-and-forth with Wix's developer relations team. We're live.
After months of development and rigorous marketplace vetting, Alargo AI just launched in the Wix App Marketplace. But this isn't just a distribution milestone, it's validation of something we've believed from the beginning: Brand Observability is becoming universal infrastructure.
The Measurement Gap
When I was working in Advanced Advertising at Fox Networks, we obsessed over Nielsen ratings and audience measurement. We knew exactly where our brands showed up, how they performed, and what drove audience behavior. The infrastructure for measuring brand presence was mature, standardized, and considered essential.
Today, brands are flying blind in AI.
Your customers are asking ChatGPT for restaurant recommendations. They're asking Gemini which products to buy. They're asking Claude which services to trust. And most companies have absolutely no idea what these AI systems say about them, or if they say anything at all.
This isn't a minor gap in analytics. This is a fundamental infrastructure problem as AI becomes the primary interface between customers and brands.
The Market is Waking Up
The signals are everywhere. SEMrush just launched "AI Visibility" features. Birdeye added AI monitoring to their platform. OpenAI and Stripe announced the Agentic Commerce Protocol, enabling AI agents to complete transactions inline in ChatGPT.
As we wrote in our recent post about Agentic Commerce, when AI agents can directly complete purchases, being invisible to AI means being completely out of the commerce loop. The question isn't whether AI will mediate customer discovery, it already does. The question is whether your brand will be found when customers ask.
This is why we built Alargo AI as the Brand Observability Platform for the AI era. Not just another analytics tool, but foundational infrastructure for understanding and optimizing how AI systems represent your brand.
Why Wix Validates the Thesis
Our enterprise platform at alargoai.com serves brands that need comprehensive AI monitoring, tracking LLM citations, sentiment analysis, competitive benchmarking, and market signal aggregation. These are companies investing seriously in understanding their AI presence at scale.
But launching on Wix, bringing AI Visibility tracking to coffee shops, boutiques, and service providers at $4.99/month—proves something more fundamental:
This isn't just enterprise infrastructure. This is universal brand infrastructure.
Every business, regardless of size, needs to answer the same question: "What does AI say about me when customers ask?"
The big players are going after enterprise. We're focused on democratizing AI Visibility for small businesses, the companies that can't afford enterprise measurement solutions but need them just as much, if not more, in an AI-first world.
The freemium model we built for Wix reflects this reality. Free tier gives you visibility into Google's Gemini. Paid tier ($4.99/month) gives you full transparency across all three major AI platforms, OpenAI's ChatGPT, Google's Gemini, and Anthropic's Claude, plus historical tracking to prove your improvements work.
Beyond LLM Calls: Building Predictive Infrastructure
Here's what separates Alargo from simple "call an LLM API and show results" tools: we're building machine learning models that predict AI visibility outcomes before they happen.
Anyone can query ChatGPT. That's not the moat. The moat is understanding why some brands show up in AI responses and others don't, and building models that can predict and optimize for it.
We ingest multiple signal types across the brand's digital footprint:
Structured data signals - Schema markup quality, completeness, implementation consistency across pages
Technical readiness signals - Site performance, robots.txt configuration, crawlability, SSL/security posture
Content signals - Brand consistency, entity recognition, semantic clarity across web properties
AI Agent Readiness signals - We actively scrape and analyze sites for the specific attributes that AI agents need to successfully parse and represent brands accurately
Engagement signals - How users interact with the brand across platforms, conversion patterns, trust indicators
Competitive context signals - Category positioning, market share indicators, relative authority
With these labeled datasets, brands that rank highly in AI responses versus those that don't, we're training ML models to identify the feature combinations that drive AI visibility. Over time, these models will predict whether a brand will appear in AI search results before we even query the LLMs.
This is the same measurement and modeling challenge I've worked on throughout my career in ads, understanding what drives performance, building predictive models, and creating systems that optimize toward outcomes. The difference is the target: instead of optimizing ad delivery, we're optimizing brand discoverability in AI systems.
The question is: Will AI know your brand when customers ask?
Ready to see how AI sees your brand? Install Alargo on Wix today or visit alargoai.com to learn about our enterprise platform.