One API, every major engine
- Country-level targeting
- Per-engine status monitoring, live
- Tens of thousands accepted as a batch
- Processed asynchronously
- Delivered by webhook
Not an LLM API: a virtual browser takes the answer off the same screen a real user sees.
From there, your visibility and what to go after next land in one dashboard.
A virtual browser reaches each engine the way a person does and runs the prompts.
Every day, the answers to your reference prompt set are recorded exactly as they came.
A virtual browser reaches each engine like a real user and runs the prompts. Not what a model API returns — the answer that actually appeared on screen.
The same prompt set runs again daily under the same conditions. When a number moves, you can tell whether the engine changed or you did.
The same question answers differently depending on language and country settings. Collection is separated by market, so domestic and overseas answers never mix.
Not an LLM API. We built querying.ai, our own scraping engine, to collect AI answers
from the same browser environment a real user is looking at.
We collect the answer screen a user actually sees and hand it back as structured JSON.
Running it ourselves rather than through a vendor keeps us clear of price rises and policy changes.
Most AI search optimization vendors either use an LLM API or rent an outside scraping API. Anymorph does not hand this data to anyone else — and several companies run on top of the engine we operate.
Go through the raw answer data one record at a time — query fanout, mentions, citations, competitors, and the detail under each.
Everything collected each day lands in one dashboard. Pick the question you have and it takes you to the screen that answers it.
Get a product demo and a report on where your AI visibility stands today.