The AI platform Computer Games use to get recommended on
Players ask an AI what to play next, and the answer is assembled from Reddit, wikis and YouTube. LBOX measures what the engines say about your titles, finds who is describing your game in your place, and builds the evidence that changes it.
Measured across
Perplexity
Gemini
Google AI
Claude
Copilot
Meta
DeepSeekGrok... and moreEvery one of them is competing for the same answer. One name comes back when a buyer asks.
What makes Computer Games different
Not general marketing advice. These are the constraints your category actually operates under.
Discovery left the storefront.
Games like X, best co-op games, is it worth it now. These questions used to be answered by store charts and a wishlist. They are now answered by a model, and the store page you spent months on is rarely the source it reads.
The community is the cited authority.
Reddit threads, Steam reviews, fan wikis and YouTube essays are what the engines quote about your game. That is the most honest description of your title in existence and the one you have least control over.
The launch window closes and the answer does not reopen.
An answer formed in the first weeks persists long after you have patched, rebalanced and shipped the content that fixed the complaint. Players are told about a version of your game that no longer exists.
Your own store page is the least-cited source about your game.
Trailers, screenshots and feature bullets are built to convert a visitor who already arrived. They are not built to be quoted, so the model reaches past them for someone else description.
What you get back
The console, measuring a company in Computer Games against the questions its buyers ask. Every brand named, every domain cited, every engine separately.
A worked example on an illustrative company, shown to display the console. Your own numbers come from measuring your questions through the engines’ own APIs.
See how every model describes your games
Visibility and position on the unbranded what-should-I-play questions players ask, measured per engine.
- Ranked against the studios the engines actually named
- See where a model reads your pages without naming you
You against the field, engine by engine
unbranded questions| Brand | Gemini | AI Overviews | OpenAI | Perplexity | Claude | ChatGPT |
|---|---|---|---|---|---|---|
| Lanternfall Studio | 31% | 26% | 29% | 24% | 16% | 33% |
| Moonjar Games | 25% | 21% | 23% | 19% | 12% | 26% |
| Ashfall Interactiveyou | 22% | 12% | 19% | 16% | 9% | 4% |
| Pale Harbour | 13% | 10% | 9% | 12% | 5% | 11% |
Turn what the answers get wrong into work that ships
Findings arrive as a worklist sorted by who can act: what LBOX writes, what needs your decision, what needs community or web.
- Scored against your genre, not a generic SEO checklist
- Nothing publishes without your sign off
The worklist
Prove the change, patch after patch
Every measurement is stored, so you can show that the launch-window complaint stopped being the first thing the engines say.
- The same questions, asked again and checked
- Sources broken out per model, per page
Visibility over time
every measured runKnow when the models come to read your game
Crawler activity captured at the edge, so you can see which models fetch your store, patch notes and support pages.
- Every model, every page, logged over time
- Robots and content signals kept current
Crawler activity
hits by model, last 30 daysWhere you disappear as the player gets closer to buying
Presence falls away as intent rises. The is-it-worth-it questions are the ones that convert, and the ones Reddit answers.
- Visibility split by where the question sits in the journey
- Names the stage that costs you the sale
Visibility by buying stage
where you show up in the journeyThe sources the engines trust about your game
Reddit, Steam reviews, wikis and video essays decide what the engines repeat. Your own store page is the least-cited source about your own title.
- Owned versus earned, so you know what to build and what to earn
- Every citation traced to the answer it supported
Which domains the engines cite
702 citationsThe program for Computer Games
Everything below is included. Measured through the engines’ own APIs, so the same questions can be asked again and the result checked.
- Measure what every major AI engine says about your titles today, through the engines own APIs
- The discovery questions players actually ask, mapped by genre, platform, mood and comparison
- Where Reddit, a wiki or a video essay is describing your game in your place
- Whether the engines describe your current build, platforms and content accurately
- Which sources the engines cite for your genre, and which of those you control
- Store, wiki and support content built so the engines read your game as it is now
- Re-measurement on the same questions, so the change is provable rather than asserted
What this does not show: what any individual user saw. LBOX measures what the engines answer through their own APIs, which is repeatable and checkable. It is not a record of any one person’s session, and it does not predict revenue.