FREE TOOL — ANSWER ENGINE OPTIMIZATION
Does AI even know your brand exists?
LLMs can only recommend what they’ve seen. This checker searches the actual training corpora — C4, The Pile, Common Crawl 2025, DCLM — for your brand, your domain, and your competitors, and shows you the receipts.
Real corpus countsCompetitor share of voiceProof documentsNo email required
POWERED BY THE INFINI-GRAM APIS · NOTHING IS STORED SERVER-SIDE — RESULTS STAY IN YOUR BROWSER
01 — SET UP THE CHECK
Your brand vs. the training data.
YOUR BRAND
02 — PICK THE CORPORA
2019-ERA TRAINING DATA
2025-ERA TRAINING DATA
RESULTS STREAM IN AS EACH CORPUS ANSWERS · FREE ACADEMIC APIS — A FULL RUN TAKES UP TO A MINUTE
METHOD NOTES
How to read the numbers.
- Where the numbers come from. Counts are served by the infini-gram and infini-gram mini APIs — public research infrastructure indexing the corpora LLMs actually train on. Nothing is scraped or estimated; every count is a real match in the corpus.
- Matching is exact and case-sensitive. “socio360”, “Socio360” and “Socio 360” are different strings in the index, so the checker expands every term into its common spellings and sums them. Variants can overlap, so headline numbers are labelled approximate.
- Zero in 2019-era corpora is expected for young brands. C4, The Pile, and RedPajama were crawled around 2019. If your company launched after that, an empty historical column isn't a failure — it's a timeline. The 2025 Common Crawl and DCLM columns show where you stand today.
- OpenWebText coverage. The original OpenWebText corpus isn't indexed anywhere as a standalone. The Pile includes OpenWebText2 — built with the same Reddit-link methodology — which is the documented proxy used here.
- These are free academic services. No SLA, occasional slowness, and a corpus can be temporarily unavailable — the checker degrades per-cell instead of failing the whole run. Re-run later and cached results fill in instantly.
INVISIBLE TO AI?
We make brands answer-engine visible.
This checker is one lens of the AEO audit we run inside client engagements — training-data footprint, answer-engine citations, and the content system that fixes both.