A new study analyzing 10,000 keywords reveals that Google’s AI mode provides incoherent results.
Research also shows minimal overlap between AI mode sources and traditional organic research rankings.
Published by Classification isThe study examines how IA mode works in relation to the previews of Google AI and the 10 main organic research results.
“The average overlap of the exact URL between the three data sets was just 9.2%», Note the study, illustrating volatility.
Highlights of the study
AI mode frequently draws different results
To test consistency, the researchers have executed the 10,000 keywords in IA mode three times the same day. The results varied most of the time.
In 21.2% Cases, there was no URL at all that overlap between the three assemblies of answers.
The consistency at the field was slightly higher, at 14.7%indicating that AI mode can cite different pages of the same websites.
Minimal overlap with organic results
Only 14% URLs in AI mode responses corresponded to the 10 best organic research results for the same requests. When you watch matches at the field, overlap increased to 21.9%.
In 17.9% Requests, AI mode has provided zero overlap with organic URLs, which suggests that its selections could be independent of Google’s classification algorithms.
Most of the links come from trusted areas
On average, each response in AI mode contains 12.6 quotes.
The most common format is block links (90.8%), monitoring of text links (8.9%) and Serp Aim style links (0.3%), which resemble traditional search engine results (SERP).
Despite volatility, certain areas have systematically appeared in all tests. The most cited sites were:
- Indeed (1.8%)
- Wikipedia (1.6%)
- Reddit (1.5%)
- Youtube (1.4%)
- Nerdwallet (1.2%)
Google properties have been cited most frequently, representing 5.7% of all links. They were mainly Google Maps commercial profiles.
Differences in relation to IA previews
By comparing the IA mode to the IA previews, the researchers found an average URL overlap 10.7%with overlap of the domain to 16%.
This suggests that the two systems operate under a different logic despite the two focused on AI.
What it means for research marketing specialists
The high volatility of IA mode results presents new challenges and new opportunities.
Because the results can vary even for identical requests, visibility monitoring is more complex.
However, this fluidity also creates more opening for exposure. Unlike traditional search results, where a small set of high -level pages often dominates, AI mode seems to frequently refresh its quotes.
This means that publishers with high -quality relevant content may have a better chance of appearing in AI mode, even if they are not in the organic top 10.
To adapt to this environment, SEOs and content creators should consider:
- Prioritize authority on the field of the domain and current relevance
- Diversify content on trust platforms
- Optimization of local presence via tools like Google Maps
- Monitoring of evolution inclusion models as the AI mode develops
For more, see the full study of the classification.
Featured image: Roman Samborskyi / Shutterstock
