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It doesn't matter if you call it GEO, SEO, or AEO. Researchers at Oxford University asked ChatGPT a bunch of questions about places around the world.
They made 2 great points that everyone should be aware of.
First:
Gen AI is used in public services, education, business & everyday decision making. The last point is why we do SEO, GEO & AEO.
If you treat outputs as sources of knowledge you can trust, you're probably "reinforcing inequalities the system mirrors"
This is something we should consider when making content.
How many marketing teams use AI to generate content? Many.
Let's say you're making competitor listicles with AI, you swap #1 with your own brand... but 2-10? If you list your competitors & press publish, guess what you're doing?
At the same time, if you're playing defence, and your working in an industry where competitors are writing "alternatives" "vs" & "pricing" pieces about your brand, then guess what you need to do?
Your choices are a) send a cease & desist or b) publish more.
Second:
Optimizing answers that come from training data is not as easy as we think.
As the professors said - "LLMs learn from data shaped by centuries of uneven information production... and strong digital visibility".
Training data doesn't reset with every new model update or release. Chunking or an LLMs.txt file is not going to give you a headstart.
You have to reverse-engineer to see what is shaping your brand narrative, and then address it directly.
You can spend millions on marketing (e.g Kia & Hyundai), but if your product is not good, and people continue to say it's not good online, then again, what's going to happen?
There's a reason both Kia & Hyndai doesn't show up in the list of most reliable cars. But Toyota does.
We can only try, but you can't optimize history overnight.
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