70% of Traffic Now Comes from Long-Tail Keywords

The latest statistics show that 70% of search traffic comes from long-tail keywords. Although they have lower search volumes, the conversion rate is much higher than that of broader keywords. Category keywords that are layered with product identifiers convert anywhere between 2.96% and 15%, showing how much potential there is for small businesses.

Source: Pexels

Navigating AI SEO and Product-Specific Search Terms

Although long-tail, product-specific keywords do rank higher, it’s important to use them alongside semantic context. AI language models prioritise entity-focused facts, such as the material or the dimension of a product.

AI search also focuses more on natural language queries or questions. Product-specific keywords, combined with AI-focused questions, help to ensure that your listing shows up to the relevant buyers. Amazon and Google are now relying on AEO, or Answer Engine Optimisation, more and more.

Instead of companies targeting broad phrases, like industrial bearings or hydraulic pumps, businesses are seeing much stronger results by optimising for what people are looking for. Using part numbers, brand names, product titles, and specific machinery does indicate stronger buyer intent and is more likely to show up in AI searches.

As Google is putting more of a focus on relevancy, having keywords like Bosch GSB 18V drill battery or John Deere X350 mower blades not only tells Google that you have something highly specific, it also helps to match your website to someone who is looking for that exact item.

User Intent is a Foundational Metric for Google 

Aligning your campaign with a direct user need is the best way to secure 220% higher click-through rates. Even though the AI evolution has led to 1.5 billion monthly users interacting with AI overviews, searches are now more complex and bridge the gap between purchases and discovery. 

It’s not hard to find sectors adapting to this either. Netflix is one example of a company that does this very well. 

On their site, there’s a Trending Now section which showcases specific movies and documentaries, allowing for targeted long-tail keywords. Underneath that, there’s an FAQ that targets AI question-and-answer fields. 

Those who play slots at a casino online will notice that there is a wide variety of slots on the home page. Longer titles like Big Bass Hold & Spinner and Fishin’ Frenzy: The Big Catch Gold Spins serve as long-tail, high-intent keywords.

Keywords like this target hyper-specific search intent, but at the bottom of the page, there’s an informative section detailing payment options and other essential information that supports AI overviews.

Even sites like eBay adopt this approach, using long-tail product keywords in their "deal of the day" pages, with full descriptions provided to support the specifics of the item and how it can be used.

This same strategy can be applied to books, software applications, and even products. As AI SEO in 2026 is more focused on relevance, brands need to find ways to curate their content, using multi-faceted approaches to ensure that long-tail keywords are being targeted, while satisfying the AI SEO movement of highly informative, relevant content that directly answers customer queries.

If this can be done efficiently, sites stand to benefit from higher conversion rates, more traffic, and ultimately a stronger overall web presence.