A mapping software company leads AI answers against seven competitors
AI tools didn't know all the jobs this mapping software could do. Pages built around the questions people ask AI fixed that, and it now has 71% share of voice against seven competitors.
The results
Where things stood
The client is an online mapping software company. Businesses use it to turn their data into maps, from customer addresses to sales territories. It handles a lot of different jobs, and many of them are small and specific.
More people now go to AI tools with everyday work questions. They ask how to plot addresses from a spreadsheet, how to split a region into sales territories, or how to see which customers live closest to each store. These are small, specific jobs, and people want a tool that does that one thing well.
When an AI tool answers questions like these, it recommends the products it knows can do the job. The client's software could handle all of these tasks, but the AI tools didn't know that. They hadn't seen enough clear writing that connected the product to each specific use. So they recommended competitors, or general tools that weren't built for the job.
The client had seven direct competitors chasing the same questions.
Being left out of those answers meant losing buyers who were ready to try a tool that day.
What we did
We built up what AI tools know about the product. The goal was to show the models, clearly and page by page, every job the software can do.
We started by collecting the everyday questions people ask AI tools about mapping. We focused on the small, specific use cases, the kind of question someone types when they have one job to get done. Each one became a page.
Every use-case page answered its question directly, near the top, in plain words. It then showed how the software does that job, step by step. The pages were written so an AI tool could read them easily and quote them, with a clear structure and consistent wording about what the product does. Our in-house writers and editor created each page, and none of it was written by AI.
Together, the pages gave AI tools a full picture of the product. Each specific question now had a clear source that connected it to the software. We tracked how often AI platforms named the brand for those questions, and how often they named each competitor, so we could see which use cases needed more pages.
What changed
Share of voice is the brand's share of all the mentions across the tracked questions, counting the brand and its seven competitors. At 71%, the client gets named more than all seven competitors put together.
What other software companies can take from this
AI tools only recommend a product for a job once they've seen it connected to that job. If your product does a lot of small, useful things, the models need to see each of those uses written down clearly before they'll suggest you for them.
Pages built around specific use cases do that job. They answer the exact questions people bring to AI tools, and they connect each answer to your product. Over time, every use you write up becomes one more reason for AI tools to name you.
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