The landscape of digital discovery has undergone a seismic shift. For decades, the "ten blue links" of Google Search defined the boundaries of online visibility. However, as generative AI assistants like ChatGPT, Claude, Gemini, and Perplexity become the primary interface for information, the traditional SEO playbook is becoming obsolete. Leading this transition is Alex Dees, the co-founder and CEO of Meridian, a company that has pioneered the concept of an AI Visibility Platform.

Alex Dees and his team are tackling a problem that many marketing executives are only beginning to realize: brands are becoming invisible to the very systems making decisions on behalf of consumers. As traditional search traffic declines, Meridian provides the infrastructure for what is now known as Generative Engine Optimization (GEO).

The Shift from Search Engines to Answer Engines

To understand the necessity of Meridian, one must look at the recent volatility in the search market. Google’s recent updates, which prioritize AI Overviews and reduce the sheer volume of organic results from 100 per page to just 10, have decimated the traffic of brands that historically ranked between positions 11 and 50. High-profile companies have seen their market caps fluctuate based on how LLMs (Large Language Models) interpret their value.

Alex Dees identified this gap during his tenure in the embedded fintech sector. Observing how buyer behavior was shifting toward agentic commerce—where AI agents find, evaluate, and purchase products—it became clear that being "findable" on Google was no longer enough. You have to be "recommended" by the AI.

The challenge is that AI models do not operate like traditional crawlers. They synthesize information from a multitude of sources, often omitting citations or prioritizing sentiment and authority signals that traditional SEO tools simply cannot measure. This is where Meridian enters the conversation, shifting the focus from keyword density to systemic visibility.

Who is Alex Dees? The Professional Background of Meridian’s CEO

Alex Dees brings a specialized background in growth operations and lean product development to the AI space. Based in New York City, Dees previously served as the Head of Business Development at a major embedded fintech firm. During that period, he was responsible for the end-to-end customer journey, from the initial sales pitch to solutions engineering and customer success.

This experience proved vital. In fintech, data integrity and trust are paramount. Dees saw a direct parallel between the "trust signals" required for financial transactions and the signals required for an AI model to confidently recommend a brand. When he co-founded Meridian, the objective was not just to build another dashboard, but to create an "action workflow" that helps teams move from curiosity to conversion.

Since its launch in late 2025, Meridian has quickly scaled, onboarding over 100 businesses. Dees’ leadership focuses on three core pillars: product roadmap clarity, go-to-market strategy, and direct customer success. His approach is rooted in the belief that AI search is not a distant trend—it is the current reality of the $100 billion SEO industry.

What is Meridian? An AI Visibility Platform Explained

Meridian is often described as the first "Visibility Engine" designed specifically for the era of generative search. It functions by running hundreds of prompts across major LLMs (ChatGPT, Gemini, Perplexity) to determine how a brand is perceived, mentioned, and ranked within AI-generated answers.

Core Features and Technical Innovation

The platform distinguishes itself through several key technical features that differentiate it from legacy tools like SEMrush or Ahrefs:

  1. Comprehensive AI Visibility Tracking: Meridian monitors mentions and sentiment across various assistants. It doesn't just check if you appear; it checks the context of your appearance. Are you being recommended as a budget option or a premium leader?
  2. Citation and Source Analysis: One of the most difficult aspects of GEO is understanding where an AI gets its information. Meridian identifies the specific external sites, reviews, and documentation that an LLM is pulling from. If an AI is providing incorrect information about a product, Meridian can trace it back to the source.
  3. Competitor Share of Voice: In the zero-sum game of AI answers, there is often only one "top recommendation." Meridian tracks how often your competitors are being cited versus your own brand.
  4. Action Workflows: This is perhaps the most critical component. Instead of simply providing data, the platform prioritizes specific opportunities. It tells a marketing team exactly what to change—whether on their own site or on a third-party citation source—to improve their AI ranking.

The Cost of Intelligence

Developing such a platform is computationally expensive. Alex Dees has noted that each comprehensive scan Meridian performs can cost upwards of 100,000 tokens. This level of rigor is necessary because AI responses are notoriously inconsistent. To get a reliable "visibility score," the system must test numerous permutations of a query to ensure the data isn't just a hallucination or a one-off response.

Generative Engine Optimization (GEO): The New Frontier

The term "GEO" is central to the mission of Meridian. While SEO focused on technical site health and backlink profiles, GEO focuses on "information density" and "authoritative signaling."

In our own observations of the platform's methodology, it is clear that AI models prioritize sites that provide structured, dense data that is easy for a crawler to synthesize. Meridian helps brands move away from "fluff" content and toward "high-utility" content.

As Alex Dees mentioned in a recent interview, the goal is to solve the "Why" behind the "What." If a brand isn't being mentioned, Meridian's technology performs a gap analysis to determine if the issue is a lack of third-party authority, poor on-site technical structure for AI crawlers, or a negative sentiment bias within the training data of the models.

Real-World Impact: The Christian & Timbers Case Study

The effectiveness of Alex Dees' vision is best illustrated through the results seen by early adopters. Christian & Timbers, an elite executive search firm, faced a significant challenge: despite their industry prestige, they had nearly zero visibility in AI-driven recruiting queries.

After eight weeks of using Meridian, the firm saw its mention rate jump to 60% for relevant queries. By using the platform to identify gaps in their content strategy and addressing specific weaknesses in their off-site authority signals, they were able to reposition themselves. The AI assistants began recommending them alongside much larger, more established global competitors. This is a clear indicator that in the world of AI search, a strategic player can "punch above their weight" if they understand the underlying mechanics of LLM recommendations.

Challenges in the AI Visibility Space

Despite the success, Alex Dees is transparent about the hurdles facing the sector. Two major challenges stand out:

1. The Inconsistency of AI Answers

LLMs are probabilistic, not deterministic. The same query can yield different results five minutes apart. Meridian addresses this by building repeatable test sets with rigorous scoring methodologies. This allows for a "normalized" view of visibility that accounts for the inherent randomness of generative models.

2. The Attribution Problem

In traditional SEO, a click is a clear indicator of success. In AI search, a user might get all the information they need directly from the AI assistant without ever clicking through to the brand's website. This creates a "dark funnel" where the brand provides value but doesn't see the traffic. Meridian is currently investing heavily in attribution capabilities, trying to connect "mention rate" and "citation share" directly to pipeline and revenue metrics. This involves using leading indicators and proxy metrics that correlate with actual sales growth, even when the click-through data is missing.

The Future: Agentic Commerce and the Standard for Modern Marketing

Looking ahead, Alex Dees sees a world where AI systems make purchasing decisions on behalf of the customer. Shopify’s partnership with OpenAI and Google’s shift toward AI Overviews are just the beginning.

In this future, "trust signals" like reviews, authoritative third-party mentions, and domain credibility will be processed by AI agents at a scale human shoppers could never match. Meridian aims to be the "standard visibility platform" for this era. Future goals for the company include building more automation into the platform, such as AI-generated content briefs that are pre-optimized for GEO and recommended technical fixes that can be executed automatically.

The transition from a Google-centric world to an LLM-centric world is not just a technical change; it is a cultural one. Brands that fail to adapt to how AI "sees" them will find themselves invisible in the most important marketplace of the next decade.

Summary of the Meridian Strategy

Under the leadership of Alex Dees, Meridian has established itself as more than just a tracking tool. It is a strategic partner for brands navigating the collapse of traditional search. By focusing on measurable improvements in visibility, citation accuracy, and actionable workflows, the platform provides a roadmap for survival in the age of generative AI.

The core takeaway for any business leader is clear: the rules of the game have changed. Traditional SEO tools are looking at the rearview mirror, while Meridian is looking at the road ahead. Whether it’s through their free AI visibility scanner or their deep-dive analytics, Alex Dees and his team are defining the parameters of success for the next generation of digital marketing.

Frequently Asked Questions

What is the difference between SEO and GEO?

SEO (Search Engine Optimization) focuses on ranking in traditional search engines like Google using keywords and backlinks. GEO (Generative Engine Optimization) focuses on increasing the likelihood that AI assistants like ChatGPT and Perplexity will mention and recommend your brand in their generated responses.

How does Meridian track AI visibility?

Meridian uses a proprietary engine to run hundreds of prompts across multiple LLMs. It analyzes mentions, sentiment, and the sources the AI cites to provide a comprehensive visibility score and actionable steps to improve it.

Who is the CEO of Meridian?

Alex Dees is the co-founder and CEO of Meridian. He has a background in fintech and growth operations, specializing in scaling technology startups and building product-led go-to-market strategies.

Can Meridian help with ChatGPT ranking?

Yes. Meridian is specifically designed to help brands understand how they are interpreted by systems like ChatGPT, Gemini, and Perplexity, providing insights into what content needs to be updated to be included in their recommendations.

Is there a free version of Meridian?

As of their late 2025 launch, Meridian offered a free "AI Visibility Scanner" that allows brands to input their domain and see how they are currently being recommended by major AI assistants.

How does AI visibility impact revenue?

While direct clicks might decrease in an AI-first world, "mention share" and "citation authority" act as powerful trust signals. Brands that are recommended by AI assistants see higher conversion rates and stronger brand authority, which Meridian connects to revenue through proxy metrics and attribution modeling.