Research Reveals How To Optimize for Google AIO and ChatGPT

Research reveals key strategies for optimizing content to rank in both Google AI Overviews and ChatGPT to improve visibility in generative AI search.

New insights from BrightEdge reveal significant differences in brand recommendations nearly 62% of the time between Google AI Overviews (AIO), Google AI Mode, and ChatGPT, highlighting unique approaches to increasing visibility across these AI search platforms.

Results and Methodology

BrightEdge’s analysis using its AI Catalyst tool examined tens of thousands of identical queries on ChatGPT, Google AIO, and Google AI Mode. The data shows a striking 61.9% overall disagreement rate, with only 33.5% of queries resulting in the same brands being recommended across all three platforms.

Notably, Google AI Overviews averaged 6.02 brand mentions per query, significantly higher than ChatGPT’s 2.37 mentions. Queries with commercial intent (featuring keywords like “buy,” “where,” or “deals”) generated brand mentions across all platforms 65% of the time, underscoring the continued importance of high-intent searches for ecommerce. E-commerce and finance verticals saw brand mention coverage exceeding 40% across platforms.

Platform-Specific Patterns in Brand Mentions

BrightEdge explains:

• ChatGPT prefers to use well-known, trusted brands–referring to them extensively even without directly connecting them to new search data, which is indicative of its dependence on Large Language Model (LLM) training data.
• Google AI Overviews show broader brand coverage with roughly 2.5 times more brand mentions than ChatGPT.
• Google AI Mode is also very selective, as fewer mentions of brands are made, but there is more citation support, which focuses on authoritative validation.

New research shows ChatGPT favors trusted brands, while Google AI Overviews provide broader coverage with more brands per query. We break down the reasons behind these distinct patterns.

Differences in a Nutshell

While BrightEdge claims this split across the three platforms is not random, the differences do exist, but there is a disagreement that “authority” is the cause.

The following is the conclusion they draw from the data:

• “The Brand Authority Play:
  ChatGPT’s reliance on training data means established brands with strong historical presence can capture mentions without needing fresh citations. This creates an “authority dividend” that many brands don’t realize they’re already earning—or could be earning with the right positioning.
• The Volume Opportunity:
  Google AI Overview’s hunger for brand mentions means there are 6+ available slots per relevant query, with clear citation paths showing exactly how to earn visibility. While competitors focus on traditional SEO, innovative brands are reverse-engineering these citation networks.
• The Quality Threshold:
  Google AI Mode’s selectivity means fewer brands make the cut, but those that do benefit from heavy citation backing that reinforces their authority across the web.”

Authority Vs Training Data

While BrightEdge attributes these variations to “brand authority,” alternative perspectives suggest the disparities arise from how LLMs process training data. Instead of authority being a ranking signal, brand prominence may reflect:

• Frequency: How often a brand appears in the AI’s training data.
• Prominence: The centrality of the brand in the content (e.g., headline mentions versus footnotes).
• Contextual Embedding Strength: How strongly a brand associates with specific topics in the training corpus.

Thus, what appears as “authority” might instead be the patterns of brand presence in the underlying data.

Common Opportunities and Commercial Purpose

Data reveals unique, brand-triggering patterns across all three AI platforms. A major shared trigger is high commercial intent: nearly two-thirds of such queries generate brand mentions, especially in e-commerce and finance.

Comparison queries, such as the “best” product searches, also cause brand mentions at 43%, demonstrating the increased sophistication of AI in understanding the intent of the user.

The Citation Network Effect

BrightEdge describes the citation network effect as a phenomenon in which mentions of a brand on one AI platform can affect visibility on others.

They share:

“A well-crafted piece… could:
Earn authority mentions on ChatGPT through brand recognition

Generate 6+ competitive mentions on Google AI Overview through comprehensive coverage

Secure selective, heavily-cited placement on Google AI Mode through third-party validation

The citation network effect means that earning mentions on one platform often creates the validation needed for another. “

Importance of Traditional SEO

Despite AI’s growing role, traditional SEO remains foundational for visibility, especially in Google AI Overview. BrightEdge’s data suggests SEO has a direct impact on AIO and an indirect influence on AI Mode and ChatGPT.

Strong brand visibility tied to specific products and services is crucial not only for SEO but also because it enhances AI training data that ChatGPT and other LLMs draw upon.

BrightEdge sums up the modern landscape by sharing:

“We’re witnessing the emergence of AI-native brand discovery. With this fundamental shift, brand visibility is determined not by search rankings but by AI recommendation algorithms with distinct personalities and preferences.

The brands winning this transition aren’t necessarily the ones with the biggest SEO budgets or the most content. They’re the ones recognizing that AI disagreement creates more paths to visibility, not fewer.

As AI becomes the primary discovery mechanism across industries, understanding these platform-specific triggers isn’t optional—it’s the difference between capturing comprehensive brand visibility and watching competitors claim the opportunities you didn’t know existed.

The 62% disagreement gap isn’t breaking the system. It’s creating one—and smart brands are already learning to work it.”

Grasping these platform-specific nuances is essential as AI search becomes the dominant discovery method across industries.

Final Insights

The 62% disagreement rate amongst AI platforms is not a sign of malfunction, but of a new system being born, one in which smart brands take advantage of unique citation opportunities on each platform to ensure maximum visibility.

To see the entire report, read here:

ChatGPT vs Google AI: 62% Brand Recommendation Disagreement