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Mobile game · AI Search · Content · Technical audit

+18% AI mentions for a game that was already on top

The mobile game was already among the top AI recommendations in its category — assistants mentioned it around 120 times a day. From a base like that, every extra percent is the hardest. A technical audit and content built on Scorra data delivered +18% brand mentions, and the game’s website became a source AI builds its answers on.

75 tracked prompts · daily in
  • ChatGPT
  • Gemini
  • Perplexity
  • Google AI Mode
  • Google AI Overviews
+18%more brand mentions — from a base of ~120 a day
7 → 146website citations per day: before the start vs the last week
2,136domain citations in 35 days
58%of citations go to the new blog — never cited before

Starting point

AI knew the game and recommended it regularly — around 120 mentions a day and a place at the very top of the category. But it described the game using other people’s sources: the domain was cited 7 times a day on average, and the blog not at all. From a high base, growth does not come by itself — models need new reasons to recommend you more often.

What we did

  1. 01

    Diagnosis in Scorra

    We looked at what players ask AI, who assistants cite in their answers and which questions the game’s website did not answer well.

  2. 02

    Technical audit

    A review of the website and blog for anything that made them hard to cite — crawler access, indexing, content structure.

  3. 03

    Data-driven content

    New blog posts that directly answer the questions people ask in AI conversations, rather than a list of keywords.

  4. 04

    Daily measurement

    The same questions asked in AI chats every day — so you can see which content starts getting cited and what to improve next.

Source: Scorra · 75 prompts daily in 5 AI assistants · daily data 23 Sep – 27 Oct 2026 · client name confidential

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