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Our client, a cross-platform video download tool, already had strong SEO results. But search behaviour is shifting.
More people now ask ChatGPT and Claude for software recommendations instead of Googling. We wanted to make sure they were visible in those AI answers while keeping their organic growth steady.
What We Did
Jobs-to-be-Done Content
We started by mapping out the client’s use cases — what problems people were trying to solve that the tool fit perfectly into. For this one, it was simple: people wanted to download videos or other formats from different platforms.
So we created content around those specific needs, like “how to download from [platform].”
Each piece included clear, practical steps on how to do it using the client’s tool, but we also listed alternative methods to keep things unbiased and trustworthy.
Citable LLM Writing
We created content that large language models could easily cite. That meant:
- Evidence-based writing: the solid info/evidence people and LLMs want to see in content. Take product listicles, for example. This included things like pros, cons, pricing, reviews, product usage insights, etc.
- Reasonable sections: each section covered a single idea, so LLMs could extract or reference it easily (the fancy word for this is “chunking”).
- Simple, natural, citable content: plain language, natural flow, without jargon. This made it easy for both readers and AIs to digest.
Purpose-Built Landing Pages
Each supported platform got its own landing page with unique, helpful content explaining how the tool works there.
So if someone asked ChatGPT, “how do I download from [platform]?” the brand could show up as a cited source or recommended tool.
Consistent Content Updates
Freshness turned out to be a huge citation signal in our internal data.
Every month, we reviewed and updated the top-performing pages — new screenshots, current download methods, any platform changes.
Keeping content fresh helped sustain visibility in both Google and AI search results.
Programmatic SEO
We helped them implement a free tools campaign that gave users a quick taste of the product before downloading — things like free one-click downloaders and preview options.
These sparked more branded searches and user discussions on Reddit and niche communities, which boosted visibility and trust even further.
Results
Here’s are the dividends of this engagement
- 25,000+ LLM traffic across the content ecosystem
- 4,866 completed downloads
- 17% conversion rate, far above typical benchmarks
- Increased branded search volume and visibility in AI-generated recommendations
Key Takeaways
- Map your content to user pain points: focus on what users are trying to do, not what you want to promote. Even if these don’t have good volume on traditional SEO tools, write then still
- Write for both humans and AI: clear sections, real data, and natural flow help your content get cited.
- Keep content fresh: LLMs reward updates more than you’d think.
- Use your product as a traffic driver: free tools and demos build organic buzz.
Ready to Grow in the Age of AI Search?
AI is quickly becoming part of how people discover products. Brands that adapt early will have a real edge.
At Embarque, we help products get visibility across Google, ChatGPT, Claude, and other AI platforms — without overcomplicating things.
Want similar results? Book a call with us and let’s talk about scaling your reach.
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