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Gmail Content Boosts Brand Visibility in AI Mode

Originally published on: May 27, 2026
▼ Summary

– A new iPullRank report found a 46-percentage-point increase in brand mentions when brands were seeded through a Personal Intelligence-connected account.
– Gmail had the strongest influence, with brands appearing in 53.6% of relevant responses, compared to 10.5% for brands added through Photos.
– Personal Intelligence did not replace web sources; AI Mode still grounded many recommendations in web content, with other brand sites making up about 49% of sources.
– The test was small, using three accounts over 17 days, and the report does not reveal Google’s internal ranking logic for Personal Intelligence.
– Email content had a stronger effect than photos, and personal context acted as an additional factor rather than overriding web results.

A recent report from iPullRank examines how Google’s Personal Intelligence feature is reshaping brand visibility in AI Mode, offering early insights into how personal data influences search recommendations.

The SEO agency analyzed 1,922 AI Mode responses and discovered a significant 46-percentage-point increase in brand mentions when those brands were seeded through a Personal Intelligence-connected account. This finding underscores the growing impact of personalized digital ecosystems on search outcomes.

In accounts linked to Personal Intelligence, tested brands appeared far more frequently, with mentions jumping from 23.9% to 66.8%. Their ranking positions also improved dramatically, with top-3 placements rising from 4.5% to 24.9%.

Among the signals tested, Gmail emerged as the most influential channel for brand citations. Brands introduced through email appeared in 53.6% of relevant responses, while those added via Google Photos only showed up 10.5% of the time. The effect was stronger for consumer goods like coffee machines, hoodies, and running shoes, compared to trust-sensitive categories such as banks and SEO agencies.

Importantly, the study found that personalization did not replace web-based sources. Even when personal context appeared to influence brand recommendations, AI Mode still relied heavily on external websites. Other brands’ sites accounted for 49% of sources, while sites of seeded brands and their Google Shopping listings were also frequently cited. Fully uncited mentions were the least common result.

The test involved three Google accounts: a blank control without Personal Intelligence, a second blank account linked to Personal Intelligence and fed brand signals through Gmail and Google Photos, and the personal account of author Garrett Sussman, which contained years of browsing history. The analysis covered eight categories with six prompt types each, all tested across both email and photo inputs.

However, the report has clear limitations. It does not reveal Google’s internal ranking logic for Personal Intelligence-connected accounts. The team lacked access to retrieval processes, model weights, or the decision layer behind Personal Intelligence. Additionally, the test spanned 17 days with three accounts, limiting generalizability. While email proved the strongest signal, the report does not confirm that Gmail is a universal ranking factor in AI Mode, as the test only applied to opt-in conditions not enabled by default.

Despite these constraints, iPullRank’s work is among the first published attempts to measure how Personal Intelligence may influence brand recommendations. The two key takeaways are that email content appears more effective than photos, and personal context acts as an additional factor rather than a replacement for web grounding.

Looking ahead, iPullRank plans to explore signal decay, the impact of email behavior variants like opened versus unopened messages, and additional product categories. Prompt phrasing also emerged as a variable worth monitoring, as different question formats yielded varying levels of brand visibility in this analysis.

(Source: Search Engine Journal)

Topics

personal intelligence 95% ai mode rankings 92% brand visibility 90% email influence 88% web source grounding 87% product category effects 85% email vs photos 83% google photos impact 82% consumer product influence 81% control account testing 80%