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AI SEO or GEO building ideas

If I were going to simplify GEO at its root, it would be that SEO ranked largely off of backlinks and site performance... but GEO mentions broadened this based off of context and offsite validation. Some of us had success in the transition because we were already ensuring our customers had citations, had PR mentions, focused on differentiation, incorporated FAQs and schema tagging. GEO is simply just contextually better than old "ranked search" results.

The shock to the system is that companies with great GEO strategies are frightened at declines in search console... but are seeing increased engagement and conversions. I wish these authors touched on these things... I think they missed the mark.
 
We, as an industry, have under-weighted the complexity of car shopping.

We know:
• Car Shoppers dont know cars
• they juggle hundreds of variables
• their goal is to make a confident decision.
AI IS A PERFECT FIT FOR THIS TASK.

One small example:
In 2019, 11 million VINs were built in over 620,000 unique configurations (not including paint).

We know that used car are like snowflakes, no two are alike. IOW, AI will know the 2019 automotive hierarchy library, but, when AI is comparing 2019 Chevrolet Traverse's side-by-side, it's completely dependent on what's seen on the VDP.

AutoMagic Labs looks at GEO thru the 'task assistance' lens. We know that an AI shopping assistant's mission is to deliver choices that stand out to the end user (the car shopper). We're building an AIX (AI Experience) with the intent to make the AI Assistant look smart(er).

This vision is the tip of a very deep iceberg. I've been preaching that our VDPs are polluted and NO ONE sees it.

AutoMagic Labs is building the machine-to-machine future and the biggest winners are car dealers.