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Here’s the current “AI SEO” (GEO / AEO / LLMO) consensus you’ll see from the biggest SEO voices on LinkedIn—plus what they’re actually emphasizing.
1) “AI SEO isn’t a new job title… it’s SEO expanding”
1) “AI SEO isn’t a new job title… it’s SEO expanding”
Aleyda Solís’ take is basically: new labels (GEO/AEO/LLMO) are mostly packaging to help execs buy in, but the craft is still SEO—just with new surfaces (AI Overviews, AI Mode, chat assistants).
Britney Muller echoes the same: don’t forget fundamentals—AI will still reward what’s always been good marketing (useful content that matches real customer questions).
2) “The big enemy is zero-click… AI makes it worse”
2) “The big enemy is zero-click… AI makes it worse”
Kevin Indig is very direct about this: classic SEO metrics are getting “broken” because clicks keep dying, and measuring “AI visibility” is probabilistic and messy (same prompt → different answers/mentions).
Rand Fishkin frames the shift as: it’s not just ranking webpages anymore—it’s earning mentions inside AI answers and across “sources of influence.”
3) “Trust, brand, and off-site signals matter more than ever”
3) “Trust, brand, and off-site signals matter more than ever”
A repeated theme: if Google (and users) don’t trust you, AI systems won’t cite you consistently. Lily Ray highlights how shaky AI answers can be (wrong claims about people/companies), which pushes the conversation toward trust, accuracy, and credibility signals.
Indig also calls out off-site mentions and freshness as increasingly important signals for who wins.
4) “Stop chasing hacks—fix the measurement + reality”
4) “Stop chasing hacks—fix the measurement + reality”
Glenn Gabe posts a lot about how AI features affect reporting/measurement (example: how AI Overview links can be represented in Google Search Console, and how AI traffic is often tiny for many sites).
Translation: people are being warned not to overreact to hype—instrument tracking properly, then decide priorities.
5) “Use AI as a co-pilot, not a replacement”
5) “Use AI as a co-pilot, not a replacement”
Wil Reynolds is very practical about testing: compare your own strategy thinking vs. multiple LLM outputs side-by-side to see what’s automatable and what still needs human judgment.
This is the “AI won’t replace you; a person using AI well will” camp—focused on workflow, not buzzwords.
6) “AI Overviews can be wrong—so your job includes ‘correction pressure’”
6) “AI Overviews can be wrong—so your job includes ‘correction pressure’”
Lily Ray’s posts capture a fear many SEOs share: AI answers can confidently state incorrect facts, and that can cause real-world damage (reputation, hiring, business decisions).
So influencers push for: first-party expertise, clean sourcing, and being the kind of page/entity that’s safe to cite.
If you want the “what should I do” checklist these influencers imply
If you want the “what should I do” checklist these influencers imply
Keep technical SEO + UX solid (crawl/indexation, performance, structure).
Build entity authority: clear “who/what/why” pages, consistent claims, proof, author/org credibility.
Earn off-site mentions (PR, community, partnerships) because AI systems synthesize the web.
Track AI traffic + citations separately (GA4 channel/grouping, careful GSC interpretation).
Treat LLMs as a workflow multiplier, and benchmark their output against your strategy.
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