What A Competitor’s Blog Strategy Taught Us About Winning AI Search
By: Angie Robinson
By: Angie Robinson
Recently, our team was studying a client’s AI Visibility report for Q1 2026 and noticed a trend we didn’t love. While our client held steady from Q4 through Q1 in their specific product category due to impactful earned media coverage, their biggest competitor continued to gain the biggest share of AI visibility using their blog content (we’ll call the competitor Dirty Birds for the sake of privacy here). Dirty Birds’ blog was cited repeatedly in search queries, with a 40% usage rate among referenced websites. So, we dug deeper to see why their blogs were being sourced so often.
According to Citescope AI, 67% of AI search queries in 2026 are full questions or conversational phrases rather than traditional keywords. Dirty Birds obviously figured this out and pivoted their blog strategy in late December/early January, writing blog posts that included a search query in the title and clearly structured answers, data, and FAQs throughout. As a result, their blogs were being pulled into AI searches every time. Admittedly, a brilliant move.
For the past year, we’ve studied ways our clients can increase their AI visibility. PR has an outsized impact. In fact, you’ll see many PR agencies on LinkedIn boasting about how important PR is for AI searchability, which it is, but it’s not the only marketing channel that will increase your chances of showing up in Claude or Gemini queries. In the AI visibility world, a brand’s blog is quickly becoming a reliable tool.
There are three key reasons blogs have rejoined the AI chat.
2. Regular, detailed posting and good structure allow brands to fully control the signals that AI models heavily weigh–depth, structure, and recency–only using their blogs.
3. Structured posts that highlight credibility and authenticity help LLMs build associations between the brand and the topics it covers through repeated exposure to authoritative content. A good example is a blog like this one from our client Jetboil: Best Backpacking and Camp Stoves.
We noticed that Dirty Birds and other brands capitalizing on this strategy tend to follow a foolproof structure to be cited consistently in AI queries.
Each Dirty Birds post starts with a clear, definitive answer to a specific question such as “What are the Best Sleeping Bags for Hot Sleepers” and “Which Brand is Making the Most Durable Sleeping Bags.” Since AI engines don’t skim for relevance and then extract entire passages, Dirty Birds ensures the first 200 words of the blog clearly define what the article is about and the question it’s addressing. These blogs aren’t anecdotal fluff; they’re workhorses utilizing the brand’s product expertise to deliver helpful information to potential customers.
If your headline asks a question or makes a claim, your opening sentence and paragraph should answer or defend it. Everything else in your blog should be supporting evidence.
By doing this, you could see a lift in citations within 2-6 weeks once your blog has indexed.
Another trend we noticed in Dirty Birds’ blog was linking to other posts on similar topics within each blog post. By building a cluster of 10-15 interlinked posts on the same theme, they were showing AI models that their brand has demonstrated topical depth.
It’s time to start thinking about your blog categories thematically. Select 3-5 themes where you want to see increased AI visibility. From there, build at least 8–10 high-quality pieces around each theme, interlinking where appropriate.
Dirty Birds wasn’t stuffing their blogs full of SEO keywords. Searches such as “best hiking shoes” are shifting to more specific queries, like “What hiking shoes are best for hiking in Rocky Mountain National Park?”
This means a blog’s headers, H2s, and FAQ sections should mirror full-sentence questions, the same way real prompts are phrased. If we return to the Jetboil blog example, we see this strategy play out with specific search query subheaders like ‘Best Stove for Traditional Outdoorsman,’ ‘Best Stove for Basecamp Hunt,’ and so on.
To start generating targeted questions addressing specific queries, ask your sales team about the most common customer-specific questions they’re hearing.
You can also use tools like AlsoAsked and AnswerThePublic. With those results, you should be able to build out a year of prompt-aligned content for your blog. Once implemented, you could see a lift in citations within 30-60 days.
This last point is one of our favorites because it’s something you can work on right away with little effort.
Evaluate the top posts pulling traffic to your site and update them.
Once you’ve identified your high-performing posts, update them by changing the title and headers, refreshing data, adding a new section, hyperlinking relevant blogs, and rewriting the intro with an answer-first framework. Once completed, republish the blog with a more recent date. You should see the effects within 2-4 weeks.
AI engines heavily weigh recency for many query types, and your existing content already has SEO equity. Hitting refresh on many of these popular blogs can often provide real ROI in terms of increased AI visibility.
Within a short 3-month timeframe, we saw our client’s biggest competitor’s blog sourced more than any other brand’s in that vertical. Their blog was the #1 cited resource in their specific category, all because they understood the importance of pivoting their content to feed AI models.
This simple blog strategy is a game-changer for brand visibility in the era of AI searching. By producing stronger, extractable content, your brand can see an uptick in brand authority and AI visibility within a few months. That’s a strategy that just makes sense to us.