Google's AI Mode can now pull from your Gmail, Photos, Calendar, and search history to generate personalised search responses. Two users searching the same query can receive completely different AI-generated answers — which means the universal ranking system that SEO has been built on for 30 years is fundamentally changing.
I've been reading through this in-depth guide on the topic and it raised some questions I'd love to hear the community's take on:
Full article here for context: https://www.submitshop.com/google-ai...lligence-guide
Would love to hear from SEOs, marketers, publishers, and anyone tracking AI search trends. Drop your take below.
Suggested tags/category: SEO Strategy | AI Search | Google Algorithm | AEO & GEO | Search Visibility
I've been reading through this in-depth guide on the topic and it raised some questions I'd love to hear the community's take on:
- How are you currently measuring SEO success when personalised AI responses are replacing traditional ranked results for a growing share of queries? Are you tracking AI citation frequency, or still relying primarily on rank position?
- For brands and content teams: have you shifted any budget or strategy toward AI-citation optimisation, Answer Engine Optimisation (AEO), or Generative Engine Optimisation (GEO) yet — and if so, what's working?
- Publishers: are you seeing measurable traffic impact from AI Mode beyond what AI Overviews already caused? Which content categories have been hit hardest in your experience?
- From a privacy standpoint — do you think Google's opt-in model for Personal Intelligence genuinely protects users, or is this a staged path toward making deep personalisation the default?
Full article here for context: https://www.submitshop.com/google-ai...lligence-guide
Would love to hear from SEOs, marketers, publishers, and anyone tracking AI search trends. Drop your take below.
Suggested tags/category: SEO Strategy | AI Search | Google Algorithm | AEO & GEO | Search Visibility

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