The Challenge

AI engines started reshaping how people search for product recommendations, and Alto y Claro saw the shift coming through their own SEO work. Their existing tools (Ahrefs, Semrush...) were starting to add AI monitoring features, but the depth wasn't there. Coverage was tied to fixed prompt packages, brand detection was manual, and there was no way to measure sentiment inside AI answers.

For Bezoya, the gap was specific. Bezoya is an established brand with 20+ years of category presence and citations across thousands of sources. The traditional SEO playbook was working, but the agency needed to give the client a clear picture of how AI engines were describing the brand: which competitors showed up alongside it, where positioning attributes like "affordability" or "quality" were being assigned to other brands, and whether new entrants were capturing prompts tied to product discovery.

At the same time, Alto y Claro was getting requests from other clients (insurance, FMCG, sports nutrition) asking the same question: "How do we appear in AI search?" Without a dedicated system, the agency was building scripts and manual workflows that didn't scale across accounts.

The Solution

Alto y Claro brought Omnia into their workflow as the system they use to monitor and report AI visibility across multiple client accounts.

For Bezoya specifically, the agency set up prompt clusters covering the brand's core categories (general water, pregnancy, kidney health, microplastics, hospitality) and tracked Share of Voice, sentiment, and citations across each cluster. The brand auto-detection was a turning point: instead of manually maintaining a list of competitors, the platform surfaced which brands appeared in AI answers automatically, including unexpected players like water filter companies that compete on adjacent search intent.

Sentiment analysis became the second differentiator. The team could see that Bezoya was leading on most attributes but trailing on "affordability" (a known position for a premium brand), and this informed how they framed competitive analysis for the client.

On the technical side, Guillermo (CTO) connected Omnia's API to BigQuery and built a custom dashboard that combines Omnia data with other client metrics. The dashboard plots brands across three dimensions in a single view (visibility, Share of Voice, and citations), which became a recurring artifact in mid-year reporting to brand directors.

The agency also started using prompt discovery to find adjacent topics worth tracking, rotating prompts based on performance, and reviewing citations to identify which sources AI engines pull from when describing the brand.

The Results

Multi-client AI visibility service

What started as a single-client engagement turned into a service line. Alto y Claro now uses Omnia to deliver AI visibility analysis to other clients across insurance, FMCG, and sports nutrition, treating it as a natural extension of their SEO offering.

Three-dimensional view of the competitive landscape

Through the API connection to BigQuery, the agency built a custom visualization that plots competitors across visibility, Share of Voice, and citations in a single chart. This view is now part of mid-year reporting to brand directors and audience leads.

Faster competitive benchmarking

Instead of scripting prompt monitoring manually, the team gets brand detection, sentiment, and citation data out of the box. Categories like "hospitality" surfaced as opportunity areas where Bezoya could move the needle through PR and partner outreach.

Clear positioning signals for the client

Sentiment analysis revealed exactly where Bezoya was leading (quality, brand recognition, health-related categories) and where it was not (affordability). This gave the brand team a concrete map of which positioning battles to fight and which to skip.

Within the first months of working with Omnia, Alto y Claro moved from manual prompt scripting to a structured monitoring system they now run across multiple client accounts. Omnia became the system they rely on to give clients a clear picture of how AI engines see their brand against the competition.

The Strategy

Alto y Claro built a repeatable approach for AI visibility that fits inside their existing SEO and analytics services.

1. Prompt clustering by category

The team organizes prompts into clusters that map to real business categories (for Bezoya: general water, pregnancy, kidney health, microplastics, hospitality). This lets them isolate where a client is strong versus where there's room to move, and it makes reporting to brand teams much clearer than a flat list of prompts.

2. Automatic brand and competitor detection

Instead of pre-defining a competitor set, the agency lets Omnia surface which brands AI engines actually mention in responses. This caught adjacent competitors the team hadn't considered (water filter brands competing on health-related search intent) and removed manual list maintenance from the workflow.

3. Sentiment as a positioning input

The team tracks how AI answers describe each brand across attributes like quality, affordability, and category leadership. For Bezoya, this confirmed strong positioning on premium-quality signals and flagged "affordability" as a known weak spot, which informs how the client communicates value rather than chases a price war.

4. Custom API integration for multi-client reporting

Guillermo built an API connection that pulls Omnia data into BigQuery and feeds custom dashboards combining AI visibility with other client metrics. This matters because reporting to large brands usually happens through internal dashboards, not standalone tool exports.

5. Citation analysis tied to link-building decisions

When a client has growth goals (rather than maintenance), the agency uses citation data to prioritize which third-party sites and directories are worth targeting for off-site visibility, since AI engines pull heavily from a small set of trusted sources per category.

Customer Quote

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"What's different with Omnia is the brand-level work. Automatic competitor detection plus sentiment analysis means we're not scripting prompts manually anymore. For a client like Bezoya, we can show the full competitive map in one view, and for newer clients we can build the monitoring system from day one.

Guillermo Totay, CTO, Alto y Claro

What's Next

• Connecting insights directly to Slack and Teams so client teams get alerts on visibility changes without entering the platform.
• Expanding the service to clients in more competitive verticals (rental insurance, sports nutrition) where AI visibility can directly move share.
• Testing automated content drafting from AI visibility insights for clients ready to act on prompt-level gaps.

As AI engines become a standard part of how people discover products, Alto y Claro is positioning AI visibility as a default capability across their client roster.

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