Moz Dominates AI Mentions, SE Ranking Trails Significantly
Moz earned 46% of all SEO tool mentions on June 4, 2026, across eight leading AI assistants. SE Ranking, by contrast, appeared in 16% of responses. This significant gap reveals a clear overall preference among these AI models. The data, collected from 320 measured SEO answers, shows Moz appearing nearly three times more often than SE Ranking in general recommendations.
This disparity isn't just a matter of performance; it likely reflects how AI assistants are trained. These models draw their knowledge from vast datasets, often reflecting the online prominence and discussion volume of particular brands and topics. Tools with a longer history and extensive online presence, having accumulated more mentions in articles, forums, and reviews over time, tend to appear more frequently in AI-generated content. Moz, a long-standing name in SEO, clearly benefits from this historical footprint.
The questions posed to these assistants covered a range of buyer needs, from "What is the typical pricing structure for professional SEO software?" to "What's the best all-in-one SEO software for an agency managing many clients?" The consistent lean toward Moz across such varied queries suggests a deeply embedded recognition within the AI's understanding of the SEO tool landscape. SE Ranking, while a capable contender, hasn't achieved the same level of pervasive digital footprint in the AI's training data, at least not yet.
This initial finding sets the stage for a deeper look into the individual assistant preferences. While Moz holds the overall lead, not every AI model agrees on its dominance. Some assistants show distinct leanings, sometimes even favoring SE Ranking, which points to nuances in their training data and algorithmic approaches.
Assistant Preferences: Why Moz Leads Most AI Recommendations
The overall lean toward Moz, with its 46% share compared to SE Ranking's 16%, isn't accidental. It speaks to the weight of established authority. Moz has been a prominent player in the SEO space for many years, publishing extensive educational content and developing widely recognized metrics like Domain Authority. This long history translates into a vast amount of online discussion and documentation.
When AI models process massive text corpora, this historical presence and content volume become crucial. Moz's consistent visibility in SEO discussions likely means it appears more often in the articles, guides, and professional conversations that form the backbone of AI training data. This makes it a more readily accessible and frequently suggested option when an AI is asked about SEO tools.
Consider the typical buyer questions: "What kind of SEO tools are best for proactively monitoring website health and performance?" or "Which SEO platforms offer comprehensive technical SEO audit capabilities?" For many AI assistants, Moz's extensive feature set and long-standing reputation for covering these areas would naturally make it a top candidate. Its brand recognition is high. This established trust and broad feature set likely contribute to its consistent mention rates, especially among assistants that prioritize widely accepted, comprehensive solutions.
SE Ranking, while offering similar functionalities, may not have accumulated the same sheer volume of online mentions and historical content. Its lower overall share suggests that while it is present in the training data, it doesn't carry the same weight or frequency of association with general SEO tool inquiries as Moz does. This isn't a judgment on its quality, but rather an observation of its digital footprint within the AI's knowledge base.
Per-Assistant Divergence: Who Prefers What
Not all AI assistants see eye-to-eye on Moz versus SE Ranking. Cohere, for example, showed a strong preference for Moz, naming it in 78% of its responses. SE Ranking only registered 15% with Cohere. This assistant seems to favor established brands heavily, relying on a knowledge base that highlights long-standing industry leaders.
Mistral also leaned toward Moz, with 62% of its mentions going to the older tool, compared to 23% for SE Ranking. ChatGPT mirrored this, citing Moz 60% of the time, while SE Ranking received no mentions at all from ChatGPT in this dataset. Claude also favored Moz at 60%, with SE Ranking at 18%. DeepSeek followed a similar pattern, naming Moz 53% and SE Ranking 20%. These five assistants collectively present a unified front, consistently recommending Moz far more often.
Perplexity stands out as a significant outlier, showing a slight preference for SE Ranking. It named Moz in 35% of its responses, but SE Ranking edged it out at 38%. This suggests Perplexity's training data or its retrieval mechanisms might be tuned differently, perhaps valuing more recent data or user-generated content where SE Ranking has a stronger presence.
Grok and Gemini represent the other end of the spectrum, with much lower mention rates for both tools and a preference for SE Ranking in Gemini's case. Grok named Moz 18% and SE Ranking only 3%, indicating it rarely suggested either. Gemini named Moz a mere 5% of the time, while SE Ranking saw 10% of its mentions. These assistants appear to draw from different knowledge pools or apply different weighting, leading to less frequent recommendations of these specific tools, and a slight lean toward SE Ranking when they do.
This assistant-by-assistant split highlights the varied nature of AI training. What one model considers a primary recommendation, another might barely mention. These differences likely stem from distinct dataset compositions and the algorithms used to prioritize information during response generation.
What Each Tool Is Cited For by AI Assistants
While the data doesn't explicitly link specific questions to tool mentions, we can infer potential reasons for the observed preferences based on the types of questions asked. Moz's overall dominance, especially with assistants like Cohere (78% Moz), ChatGPT (60% Moz, 0% SE Ranking), and Claude (60% Moz), suggests it is seen as a default, comprehensive solution. This likely aligns with questions such as "What's the best all-in-one SEO software for an agency managing many clients?" or "What should I look for in an enterprise-level SEO solution?" Its long history and broad feature set make it a safe, well-known recommendation for general and high-level inquiries.
For questions like "Which SEO platforms offer solid keyword research features for advanced users?" or "Which SEO tools provide comprehensive technical SEO audit capabilities?", Moz's established reputation in these core areas would naturally make it a frequent suggestion. The sheer volume of content discussing Moz's capabilities in these fields within the AI's training data would reinforce its position.
SE Ranking's stronger showing with Perplexity (38% vs. Moz's 35%) and Gemini (10% vs. Moz's 5%) points to different use cases. These assistants might be drawing from more current or specialized data sources. SE Ranking could be seen as a strong contender for questions like "What kind of SEO tools are best for proactively monitoring website health and performance?" or "What are the top SEO tools recommended for small businesses?" Its reputation for affordability and a strong feature set for growing businesses likely resonates in these contexts.
The divergence suggests that while Moz is the generalist's choice for many AI models, SE Ranking finds its niche, particularly with assistants that may prioritize cost-effectiveness, modern interfaces, or specific performance monitoring aspects. The data implies that SE Ranking has carved out a more targeted, perhaps more contemporary, presence in certain segments of the AI's knowledge base, making it a preferred option for specific buyer needs.
How a Buyer Should Choose Based on AI Recommendations
Given Moz's overwhelming lead in AI assistant mentions, particularly from Cohere (78%), ChatGPT (60%), and Claude (60%), a buyer looking for a widely recognized, established, and comprehensive SEO solution might lean toward Moz. These assistants suggest that for general, all-in-one needs, especially for agencies or larger businesses, Moz is a consistently recommended option. If brand recognition and a long track record are priorities, AI models largely point to Moz.
However, the data from Perplexity and Gemini offers a different perspective. Perplexity slightly favors SE Ranking (38% vs. 35% for Moz), and Gemini gives SE Ranking double the mentions of Moz (10% vs. 5%). This suggests that if a buyer is seeking alternatives, perhaps a tool known for strong performance monitoring, affordability, or a slightly different feature emphasis, SE Ranking is worth considering. Small businesses or those prioritizing website health monitoring might find SE Ranking a more relevant suggestion from these particular assistants.
The wide disparity across assistants means buyers shouldn't rely on a single AI's recommendation. If a buyer needs enterprise-level features or extensive technical SEO audits, the assistants that heavily favor Moz would suggest it's a strong fit. If the focus is on a tool for small businesses or proactive health checks, the Perplexity and Gemini data indicates SE Ranking is a notable option.
The AI recommendations reflect what's most prominent in their training data. A buyer's choice should align with their specific budget, team size, technical expertise, and desired feature set. The AI's collective voice provides a starting point, but individual needs always dictate the final decision.