The SEOArmy Blog / Category
How ChatGPT, Perplexity, Gemini and Google AI Overviews choose their sources, and how to become the answer they give.

This is the category where a small business can realistically become the named recommendation, because the competition for citation is far thinner than in national markets.
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Most AEO programs fail through inconsistency rather than through doing the wrong things. A fixed monthly shape fixes that.
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Everything worth doing, ordered by what actually moves the needle rather than by what is easiest to start.
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Much of the distinction between these terms is marketing positioning. One difference is real and worth understanding.
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Software is the category assistants handle most confidently, which makes it the one where being absent from the answer costs most.
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For product queries the assistant is reading structured data and reviews, not your brand story. That changes where the effort should go.
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Not all of these are equally supported. They are ordered by how confident anyone can reasonably be that they work.
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The phrase covers two unrelated activities and the confusion costs people money. One is a productivity question, the other is a visibility question.
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Most wasted AI search budget goes to a small number of predictable errors. These are the ones we see repeatedly.
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The surface where existing SEO transfers most directly, and the one that most visibly costs clicks.
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Search did not get replaced, it got a second layer. This is what that layer rewards, what it ignores, and which of your existing SEO work still carries over — which is more of it than the panic suggests.
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A 360° breakdown: what GEO is, why it matters, how to implement it, and how it fits alongside SEO and AEO in a modern growth stack.
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Traditional SEO isn't dying. AI search isn't a replacement. They're complementary, and the brands winning in 2026 are the ones using both.
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