Inside Sellm’s Big Bet on Generative Engine Optimization

Dashboard with generative engine optimization analysis

Sellm Unveils Generative Engine Optimization Platform

Sellm announced today the launch of its Generative Engine Optimization (GEO) platform, a new tool for measuring and improving how brands appear inside AI-powered search results. The release marks the first commercial platform built to help companies understand their position inside large language models (LLMs) such as ChatGPT, Perplexity, and Gemini.

Why This Matters

For years, search traffic depended on Google’s results pages. That model is shifting. Increasingly, users are asking questions directly to AI assistants rather than typing queries into a search box. Instead of a list of links, the response is a conversational summary. Whether a brand is included in that summary can make a big difference in visibility.

Sellm’s platform gives marketers what they need. Track, measure, and optimize how their brand is recommended by AI. Do this before competitors do.

From SEO to GEO

For two decades, SEO (Search Engine Optimization) defined digital strategy. Content was tuned around keywords, backlinks, and the ranking algorithms of Google and similar engines. Now, with LLMs handling conversations and answers, brand visibility means more than page rank. It means being cited in AI responses.

  • Traditional SEO: Optimizing content for Google rankings.
  • Generative Engine Optimization: Optimizing how a brand is named inside AI-generated answers.

Industry analysts predict that by 2026, more than half of queries will come through AI assistants. That makes this shift urgent for brands that care about discovery.

What the Platform Delivers

Sellm’s GEO platform includes several functions that mirror the familiar SEO toolkit but in a generative context:

  • ChatGPT Rank Tracking – Monitor if and when a brand appears in conversational answers.
  • AI Search Optimization Insights – Discover which content signals and authority markers shape recommendations.
  • Competitor Benchmarking – Compare how often rivals are suggested compared to your own brand.
  • Recommendation Share Tracking – Measure visibility trends across multiple LLMs over time.

The tool is built for startups, SaaS firms, and marketing teams. They get real-time visibility rather than waiting for months.

Early Beta Results

Beta users have already flagged surprising findings. One company learned that a competitor was being recommended consistently inside ChatGPT even though it ranked lower in Google. Another discovered its brand voice was uneven across different AI systems, creating confusion for potential buyers. These insights would have been invisible without direct monitoring of generative platforms.

As one early client put it: “We realized our main competitor was consistently recommended in ChatGPT for our category even though we outrank them in Google. Without Sellm, we never would have known.”

The CEO’s Take

Alejandro, Sellm’s founder and CEO, described the product as a necessary move for modern marketing. “Search is no longer about ten blue links. The future is about whether or not your brand shows up inside AI answers,” he said. He added that just as SEO became mandatory in the early 2000s, GEO will soon become part of every marketer’s playbook.

How Sellm Compares to Semrush, Ahrefs, Waikay

Semrush has introduced its AI SEO Toolkit. It tracks how often brands appear in AI platforms like ChatGPT, Gemini, and Perplexity. It also benchmarks competitors. Users can see prompt-level performance, visibility share, and insight into content signals.

Ahrefs has added GEO-type features mostly through its “Brand Radar” and AI references. It remains strong on backlink data, keyword research, and content visibility in classic search. But its AI-search visibility features are less mature than its core SEO tools.

Waikay focuses on monitoring how brands are represented in AI models. It gives visibility across major AI search platforms, tracks sentiment, offers brand performance metrics, ROI tracking, and simplified workflows. It is positioned for users who want quick wins and actionable metrics.

In comparison, Sellm states its advantage lies in combining rank tracking inside LLMs, content signal insights, competitor benchmarking, and recommendation share tracking all in one. It aims to be a single source of truth about where brands appear in AI answers. Sellm seems to push deeper into how AI itself recommends brands rather than just measuring SEO signals or traditional visibility.

The takeaway is clear: digital presence now reaches beyond Google. As AI assistants grow into the default entry point for information, brands must pay attention to how they are represented in these systems. Sellm is betting that GEO will become the standard lens for measuring that visibility.