Mobile games: which titles the assistants recommend in your genre

Players ask assistants what to play next. See which games they name for your genre, and which review sites and stores decide it.

For: Game studios and publishers competing for installs

Paste this into your assistant

When players ask for games like ours, which titles do the assistants recommend instead of us, on which assistant, and which review sites or store pages do those answers cite?

What happens

1. 01Reads which games are named ahead of yours and how often.
2. 02Splits it by assistant - recommendations for games differ a lot between engines.
3. 03Lists the questions where you are never named, and the review sites and store pages cited there.

Tools it calls

• getBrandMetricsread only

  One metric for the tracked brand plus the competitors ahead of and behind it. Metrics: visibility (how often models mention the brand), shareOfVoice (its slice of all brand mentions), ranking (average position when named), brandStrength (composite), sentiment (-1 to 1).

• getEngineBreakdownread only

  The same metric split by which assistant answered. Use it to find an engine where the brand is invisible while others are fine.

• getBrandMetricsByPromptread only

  Per-prompt breakdown: which tracked questions the brand shows up in and which it never does. This is where gaps are actually visible.

• listCitedSourcesread only

  Domains or individual pages the models cited when answering, with how often each was used and how often the tracked brand appeared in those same answers. A source cited often with 0% brand presence is the clearest thing to act on.

What you end up with

The titles you lose to, and the pages where a feature or review would change the answer.

See real assistant answers in this industry

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