The AI platform Technology, Information and Internet uses to get recommended on
People ask a model what your service is, whether it is safe and whether it is worth using, and the answer comes from strangers. LBOX measures what the engines say about your platform, shows who they name instead, and builds the evidence that corrects 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 Technology, Information and Internet different
Not general marketing advice. These are the constraints your category actually operates under.
An answer about trust and safety reaches more people than any statement you publish.
Is it safe, is it a scam, what do they do with my data. At consumer scale these questions are asked constantly, and the response is assembled from forum threads and old incident coverage rather than from anything you have said since.
A model can describe a product you no longer ship.
Consumer platforms change weekly. Features get removed, tiers get renamed, policies get rewritten. The engines quote whatever was written down most often, which is usually the version from two years ago when the most was written about you.
Your category gets decided for you.
Asked what you are, a model reaches for the nearest familiar comparison. Being described as a version of a better-known competitor puts you permanently in their shadow and frames every feature you have as a variation on theirs.
Community threads are the source of record.
Reddit and similar carry more weight here than any owned page, because that is where people actually discuss whether something works. That is the most honest account of your product in existence and the one you have least influence over.
At consumer scale the answer is the product demo
For most businesses an AI answer is a step towards a sales conversation. For a consumer platform there is no sales conversation: the answer IS the evaluation, and the person either signs up or does not. That collapses the funnel to a single exchange you never see, and it changes what accuracy is worth. One wrong sentence about your pricing or your data practices does not lose one deal, it is repeated to everyone who asks a similar question for as long as the source behind it stands. The upside has the same shape. A correct, specific answer about what you do and who it suits works like an endlessly repeated demo, delivered at the moment of curiosity, at no marginal cost.
What you get back
The console, measuring a company in Technology, Information and Internet 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 which platforms the engines name
Visibility and position on the unbranded what-should-I-use questions your users ask, measured per engine.
- Ranked against the platforms the engines actually named
- See where a model reads your pages without naming you
You against the field, engine by engine
unbranded questionsTurn 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 your product or policy team.
- Scored against your category and use cases, not a generic SEO checklist
- Nothing publishes without your sign off
The worklist
Where you disappear as the user gets closer to signing up
Presence falls away as intent rises. The is-it-worth-using questions are the ones that convert, and the ones the community threads win.
- Visibility split by where the question sits in the journey
- Names the stage that costs you the sign-up
Visibility by buying stage
where you show up in the journeyThe sources the engines trust about technology platforms
Community threads and reference sites decide what the engines repeat about your platform, including whether it is safe to use.
- 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
718 citationsThe program for Technology, Information and Internet
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 platform today, through the engines own APIs
- The questions your users actually ask, mapped by use case, comparison and concern
- Where a forum thread or an old incident is answering in your place
- Whether the engines state your features, pricing, policies and data practices correctly
- Which sources the engines cite about you, and which of those you control
- Product, policy and comparison pages built so the engines can read and quote them accurately
- 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.