Artificial intelligence is no longer a supporting player in search. It is rapidly becoming the interface through which consumers research, evaluate and choose products. At GA Agency, we track these changes closely because they redefine how visibility is earned and how influence is measured.
One of the most important signals emerging in 2025 is citation behaviour inside AI platforms. Recent research highlights a stark contrast: Google’s AI cites retailers in roughly 4 per cent of ecommerce responses, while ChatGPT does so in approximately 36 per cent. This difference is not incidental. It reflects two fundamentally different approaches to AI-driven discovery.
For retailers and brands, visibility is no longer only about ranking. Whether, where and how your brand is cited by AI systems is becoming a meaningful determinant of influence, even when no click occurs.
Why AI Citations Matter
In traditional search, performance is assessed through rankings, impressions and clicks. AI-mediated search changes that model.
AI systems often deliver complete answers within the interface itself. Users may never visit a website, yet their decisions are still shaped by which brands the AI references and how those brands are framed.
When an AI platform cites a retailer or brand, it typically signals that:
- The platform considers the source trustworthy
- The content aligns closely with the user’s intent
- The brand is relevant at a decision-making moment
This does not automatically translate into immediate sales, but it does suggest that citations are becoming a proxy for authority and commercial relevance in an AI-first environment.
The Citation Gap: Google AI vs. ChatGPT
The data highlights a divergence in how major AI platforms surface retail sources. The behaviour is observable; the implications require interpretation.
Google AI: Community and Context First
Google’s AI Overviews and AI Mode tend to draw primarily from:
- Editorial content
- YouTube reviews and explainers
- Community platforms such as Reddit
- Informational and comparative articles
Direct citations of retailer product pages are relatively uncommon. In many cases, ecommerce content appears to be interpreted or summarised rather than explicitly referenced.
This is consistent with Google’s long-standing philosophy: prioritising breadth of context, sentiment and independent perspectives before directing users toward commercial outcomes. The data supports this pattern, even if the precise weighting of signals remains opaque.
ChatGPT: Commerce-Led by Design
ChatGPT exhibits a different citation profile. Its responses more frequently reference:
- Large retailers and marketplaces
- Brand-owned ecommerce sites
- Structured product listings with pricing and availability
This correlates with higher retailer citation rates overall. While this does not guarantee conversion, it does suggest that ChatGPT is optimised to support decision completion, not just exploratory research.
For users, this often feels like guided shopping. For brands, it represents a more direct opportunity to shape consideration at the point of choice.
What This Means for Retailers
The implications extend beyond platform preference and point to a broader structural shift in digital commerce.
Visibility Is Becoming Platform-Specific
A brand that performs well within Google’s AI responses may have limited visibility in ChatGPT, and vice versa. The evidence suggests that a single optimisation approach is no longer sufficient.
Retail visibility increasingly needs to be engineered for multiple AI ecosystems, each with distinct trust signals, data requirements and content preferences.
Zero-Click Influence Is Increasing
AI citations can in some cases replace the need for a click. This does not necessarily reduce their value. Being cited can influence consideration and preference without generating measurable traffic.
Brands that rely solely on sessions and last-click attribution risk underestimating their influence within AI-driven decision journeys.
Why the Platforms Behave Differently
The divergence between Google AI and ChatGPT appears to be intentional rather than incidental.
Google’s Information Ecosystem
Google’s AI is built on decades of search behaviour, knowledge graphs and community data. Its objective is to provide well-rounded answers, drawing from diverse perspectives.
As a result:
- Community validation matters
- Independent reviews carry weight
- Retailers are secondary unless they add unique informational value
ChatGPT’s Transactional Trajectory
ChatGPT has moved rapidly toward product discovery and shopping assistance. Its architecture rewards:
- Clear product data
- Reliable pricing and availability
- Structured ecommerce information
This positioning makes retailers more central to the response. For brands, it suggests that product data quality is looking closer to a competitive advantage rather than a purely technical hygiene factor.
Brand-Owned Sources Still Matter
A common assumption is that AI platforms rely predominantly on third-party editorial sources. In practice, a significant proportion of AI citations still originate from brand-managed properties.
Official websites, verified listings and structured product pages form the foundation of how AI systems understand brands and products. However, their effectiveness depends on being:
- Accurate
- Consistent
- Machine-readable
Outdated, contradictory or poorly structured content appears to reduce trust and lowers the likelihood of citation across platforms.
The Rise of Generative Engine Optimisation (GEO)
As AI-mediated search matures, a new discipline is emerging: Generative Engine Optimisation (GEO).
GEO focuses on how brands are interpreted, represented and cited by AI systems, rather than solely on how they rank in traditional search results.
Key components include:
Structured Data and Clarity
AI systems favour content they can interpret with confidence. This requires:
- Clean product schemas
- Clear attributes and specifications
- Consistent pricing and availability
Authority and Validation
Trust signals matter more than ever:
- Editorial coverage
- High-quality backlinks
- Verified reviews and listings
Intent-Driven Content Design
AI responds to questions, not keywords. Content must be structured around:
- Use cases
- Comparisons
- Decision criteria
Platform-Specific Optimisation
Each AI engine weighs signals differently. Evidence suggests that effective GEO strategies need to be diversified, not centralised.
How Retailers Should Adapt Now
Brands that act early will benefit from disproportionate visibility as AI ecosystems stabilise.
Audit and Standardise Product Data
Ensure that all product information is:
- Accurate and up to date
- Consistently structured across channels
- Supported by schema markup
Expand Beyond Transactional Pages
Retailers must supplement product pages with:
- Buying guides
- Comparison content
- Expert insights and FAQs
This content increases relevance for Google AI while reinforcing authority for ChatGPT.
Monitor AI Visibility, Not Just Rankings
Traditional rank tracking is no longer sufficient. Brands should track:
- Where and how they are cited
- Which competitors are referenced instead
- How AI positions their products in context
Build for Trust, Not Manipulation
Conversational environments penalise exaggeration and ambiguity. AI systems reward:
- Accuracy
- Transparency
- User-first information
Strategic Outlook
The contrast between Google AI and ChatGPT does not appear to be a short-term anomaly. It reflects two parallel models of discovery:
- One rooted in information depth and community validation
- One oriented towards decision support and commerce
Retailers increasingly need to operate effectively in both environments.
Brands that invest now in structured data, authoritative content and AI-specific optimisation are better positioned to build durable visibility as AI becomes the default interface for search and shopping.
Final Takeaway: AI Citations Are the New Shelf Space
In an AI-first environment, being cited increasingly resembles being stocked, recommended and trusted simultaneously.
To compete effectively, brands should:
- Optimise product data for AI consumption
- Develop authoritative, intent-driven content
- Track and improve AI citation visibility
- Design strategies for multiple AI platforms
GA Agency helps brands navigate this shift through AI strategy, data optimisation and content designed for conversational discovery. As search becomes more AI-led, the window to establish durable visibility is narrowing.
If you want your brand to remain visible as search becomes AI-led, now is the time to act.
Article author
Chiara Riva
Business Development Assistant
