Marketing leaders whose brands rely on SEO should consider allocating resources to testing other channels in order to diversify.” Undeniably, the landscape is shifting. AI is weaving its way into search, promising personalized results and conversational interactions. Bing’s Fabrice Canel envisions “a completely new way to interact with the web,” blurring the lines between search and chat. This is in a way exciting, but as Kieran Flanagan points out, it’s not quite time to toss our SEO textbooks out the window.
“What should brands do? Test other channels? Let’s be honest; no Cambodia WhatsApp Number Data other channel is as predictable or scalable as search. The beauty of search is once you’ve built an engine, it’s easy to forecast and directly tie back to revenue, both organic and paid. Marketers won’t need to ‘test’ new channels; they’ll need to rethink how they approach marketing.” SEO offers predictability and scalability. It’s one of the engines that drives organic traffic, fuels sales, and keeps our marketing budgets active.
AI search, for all its futuristic appeal, lacks that same formula. It’s the shiny new gadget we’re eager to play with, not the trusty tool we rely on daily – not yet, at least. But that doesn’t mean we should ignore AI in Search. It’s time to crack open our toolboxes and get curious. As expected, there is no literature on this specific subject, but I found Wil Reynolds’ posts eye-opening. Questions that AI in Search has left Now, here are some questions that should be keeping us up at night: : If our brand dominates Google’s SERPs, does it translate to the chat search domain? How visible is my brand in AI search? We have learned how to use SEO analytics and Share of Search to better understand our company brand’s awareness and its position against the category’s competition.
