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.
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).
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.”
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.
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.
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.
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.
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.