In a way, this is exciting. But as kieran flanagan points out, it's not time to throw our seo books in the trash yet. “what should brands do? Test other channels? Let's be honest; no other channel is as predictable or scalable as search. The beauty of search is that once you've built an engine, it's easy to predict and link directly to revenue, both organic and paid.
Marketers will not need to ‘test’ new channels; they will need to austria telegram data rethink how they approach marketing.” seo offers predictability and scalability. It’s one of the engines that drives organic traffic and sales, as well as keeping our marketing budgets active. The search for ai, despite all its futuristic appeal, does not have this same formula. It's a big new thing we're excited to play with, not the tool we rely on daily, at least not yet.
ai in search. This is the time to open our toolboxes and be curious. As expected, there is no literature on this specific subject, but I found wil reynolds' posts that were enlightening.Questions left by ai in searchnow, let's look at some questions that should be keeping us up at night:brand visibility in search chatbots: if our brand dominates the google serps, does that translate into ai search dominance? How visible is my brand in ai search? We learned how to use seo analysis and share of search to better understand our brand awareness and its position in relation to the competition in the category.
But that doesn't mean we should ignore
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