How to Optimize Your Brand for AI Search Engines

A recent study from BrightEdge has uncovered a fascinating and critical insight for digital marketers: Google AI Overviews (AIO), Google AI Mode, and ChatGPT recommend different brands nearly 62% of the time for the same search query. This discrepancy shows that each AI platform interprets data and user intent in its own unique way, creating a new and complex landscape for brand visibility.

Key Findings from the BrightEdge Study

BrightEdge conducted its analysis using its AI Catalyst tool, running tens of thousands of identical queries across all three AI platforms. The research highlighted a significant 61.9% disagreement rate in brand recommendations. Only a third of the queries (33.5%) resulted in the exact same brands being mentioned by AIO, AI Mode, and ChatGPT.

The study also found a major difference in the volume of recommendations:

• Google AI Overviews averaged 6.02 brand mentions per query.
• ChatGPT averaged a much lower 2.37 brand mentions per query.

For businesses, this data shows that queries with high commercial intent, using words like “buy,” “where,” or “deals,” are still highly effective. These keywords triggered brand mentions 65% of the time across all platforms, confirming their value in driving e-commerce, much like in traditional search.

Why AI Platforms Recommend Different Brands

The research reveals that each AI platform has a distinct personality when it comes to brand citations.

• ChatGPT tends to cite established, trusted brands, often pulling this information from its vast training data rather than live search results.
• Google AI Overviews cites brands 2.5 times more frequently than ChatGPT, focusing on providing a broader range of options.
• Google AI Mode is more selective, citing brands less often than the other two platforms but backing its recommendations with strong citations.

In essence, ChatGPT favors established trust, Google AIO prioritizes comprehensive coverage, and Google AI Mode focuses on highly-vetted quality.

Authority or Training Data A Deeper Look

BrightEdge suggests these differences are based on distinct strategies, which they label the “Brand Authority Play” for ChatGPT, the “Volume Opportunity” for AIO, and the “Quality Threshold” for AI Mode.

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.

However, there's an alternative view to the idea of “authority” signals within an LLM like ChatGPT. Instead of a ranking signal, a brand's appearance might be more about its footprint in the training data, based on factors like:

• Frequency: How often the brand is mentioned in the training data.
• Prominence: How central the brand is in those mentions (e.g., in a headline versus a footnote).
• Contextual Strength: How strongly the brand is associated with specific topics.

From this perspective, a brand is mentioned not because of abstract authority, but because it frequently appears in relevant contexts within the data the AI was trained on.

Unlocking the Citation Network Effect

One of the most powerful insights from BrightEdge is the “citation network effect.” This concept suggests that earning visibility on one AI platform can help you gain a foothold on the others. A single piece of high-quality content could achieve multiple goals simultaneously.

For example, a well-crafted article could:

• Earn mentions on ChatGPT through strong brand recognition in its training data.
• Generate multiple mentions on Google AI Overviews through its comprehensive topic coverage.
• Secure a selective placement on Google AI Mode through strong third-party validation and citations.

This interconnectedness means that strategic content creation can have a cascading effect across the entire AI search ecosystem.

The Enduring Importance of Traditional SEO

While the AI search landscape is new, the foundation for success remains familiar. Traditional SEO is the keystone for building visibility in this new era. BrightEdge's data confirms that strong SEO practices directly benefit visibility in Google's AIO and indirectly influence recommendations in AI Mode and ChatGPT.

As AI becomes a primary tool for brand discovery, understanding the unique triggers for each platform is no longer optional. The 62% disagreement gap isn't a problem to be solved; it's an opportunity. It creates more paths to visibility for brands that are willing to adapt their strategies to this new, multi-faceted AI-driven world.

To dive deeper into the data, you can read the full ChatGPT vs Google AI: 62% Brand Recommendation Disagreement report from BrightEdge.

Featured Image by Shutterstock/MMD Creative