AI Overviews vs AI Mode: Key Findings
- Visibility in AI Overviews does not guarantee visibility in AI Mode, as overlap is limited to roughly one-third of citations.
- Each surface rewards different sources, with more than three-quarters of domains appearing in only one experience.
- AI Mode cites from a wider pool, while AI Overviews remain more selective, suggesting distinct optimization strategies are needed for both.
As Google integrates AI further into search, two distinct experiences are reshaping the results page.
AI Overviews surface curated answers, while AI Mode generates full responses on demand.
Since these features were launched, Google claims that they have driven more than a 10% increase in Google usage.
Since both rely on Google’s technology, this begs the question: does visibility in an AI Overview translate to visibility in AI Mode, or do the two highlight different sources?
To investigate, Victorious, an SEO agency focused on AI-driven discovery, analyzed more than 1,500 real-world queries in their new study.
Their findings show limited overlap between AI Overview and AI Mode citations and raise important questions about how marketers should measure visibility in AI-driven search.
Do AI Overviews and AI Mode Cite the Same Sources?
Victorious conducted an overlap analysis on a structured dataset to determine whether the two experiences reward the same optimization signals or diverge in meaningful ways.
The goals of the study were to:
- Quantify the degree of citation overlap between AIO and AI Mode.
- Identify whether Google favors the same retrieval set across both surfaces.
- Clarify if general “retrievability” practices apply equally, such as clean structure, reduced link noise, high E-E-A-T, and chunk clarity.
- Provide marketers with a data-backed foundation for prioritizing content optimization efforts.
Inside the Methodology
The study examined 1,540 search queries spanning both informational and transactional intent.
It extracted, recorded, and compared every domain cited in Google’s AI Overviews and AI Mode responses for each query.
The overlap analysis generated three key measures:
- Average number of unique URLs cited in each experience
- Percentage of AI Overview citations that also appeared in AI Mode
- Query-level overlap ratios showing how closely (or loosely) the two experiences align
Taken together, these measures revealed whether Google relies on a common pool of sources across both surfaces or retrieves citations differently depending on the search experience.
Lessons From the Data
Victorious’ comparison uncovered four consistent patterns:
1. There is partial but limited overlap between AI Mode and AI Overview citations
On average, only 30–35% of the URLs cited in AI Overviews also appeared in AI Mode.
That means nearly two-thirds of AIO citations don’t carry over. For marketers, this suggests that visibility in one doesn’t guarantee visibility in the other.
2. The two experiences show limited domain carryover
An additional cut of the data uncovered that 77% of all unique domains appeared in only one experience.
Meanwhile, just 23% showed up in both. From a topical authority standpoint, this suggests the two experiences often reward different sources altogether.
3. AI Mode has a broader citation pool than AI Overviews
AI Mode drew from a wider set of sources than AI Overviews:
- AI Mode: Approximately 9 domains cited per query
- AI Overviews: Approximately 7.7 domains cited per query
AI Overviews appeared more selective, surfacing a smaller, curated set of citations.
AI Mode, by contrast, casts a wider net, pulling in more references to build its responses.
4. AI Mode has a broader citation pool than AI Overviews
Not a single query produced the exact same citations across both experiences.
Even when overlap was strong, the lists always diverged. This reinforces the idea that AI Overviews and AI Mode are guided by distinct retrieval patterns.
The differences between AI Overviews and AI Mode carry clear implications for SEO content strategies:
- Expand the KPI set. Rankings and traffic no longer tell the full visibility story. Citation frequency across AI surfaces should be tracked as a core metric.
- Track AI Overview and AI Mode performance separately. Treat the two surfaces as distinct. Since visibility in one doesn’t guarantee visibility in the other, reporting should break them out.
Key Takeaways and Open Questions
The immediate takeaway for marketers is clear: visibility in AI Overviews doesn’t guarantee visibility in AI Mode, or vice versa.
Marketers could benefit from tracking citations between the two experiences separately to learn more about the sources each pulls from.
Domain-level analysis reinforces this divide: more than three-quarters of unique domains appeared in only one experience.
That makes it even more important to treat AIO and AI Mode as distinct visibility channels with their own reporting and optimization strategies.
The data doesn’t show whether different content formats drive this citation gap, but it does raise two hypotheses worth testing:
- AI Overviews may favor more comprehensive, structured pages because they cite fewer sources.
- AI Mode may be more likely to pull concise, reference-friendly content because it cites from a broader pool.
Tracking how often a brand is referenced across both surfaces provides a distinct visibility metric and can help marketers adapt in real time as Google’s AI-driven search evolves.
The brands that build this discipline now will be first to spot the patterns — and act on them — while competitors are still treating AI search as a black box.
