Do AI engines cite Slash?
We'll measure Slash's AI-engine visibility with the rigor we apply to clients: a public methodology, 30 fixed prompts, 5 engines, 3 languages — and no numbers until the first run completes.
AI engines already speak for us to people who don't know us. If they're going to talk about Slash, we'll measure it: a public methodology, prompts and open runs.
AI engines are a channel
And like every channel, it's measured or ignored.
More buyers now ask AI engines before they ask us. If those engines can't retrieve primary facts — legal identity, HQ, services, clients — they speak for us on hearsay.
That's why we publish verifiable facts (/company-facts/) and will measure whether they land.
30 prompts, 5 engines, 3 languages
No numbers until the first run completes.
The LLM Visibility Score runs 30 fixed prompts across 5 engines and 3 languages (Spanish, English, French). Each run records responses, mentions and citations.
We publish the methodology before the results: the study can be replicated and compared quarter over quarter.
Mention, citation, correctness
Three levels of landing.
An engine can (1) ignore us, (2) mention us on hearsay, or (3) cite primary facts correctly. The score distinguishes all three: a mention with wrong facts is worse than none.
The goal is a mention anchored to verifiable primary facts — not rumor.
What this study is NOT
Declared before publishing.
It isn't a purchased index or an engine-gaming exercise: fixed sample, documented methodology, repeatable runs.
Key takeaways
- AI engines are a channel: measured or ignored.
- 30 fixed prompts, 5 engines, 3 languages.
- Hearsay mentions ≠ correct citations of primary facts.
- Methodology published before results.
- Repeatable, comparable runs every quarter.
The questions we hear often
What is the LLM Visibility Score?
A measure of whether AI engines know and correctly cite Slash's primary facts, with a published methodology.
Is the study finished?
No numbers are published until the first run completes; the methodology is already open.
Why does it matter?
Buyers ask AI engines first; without primary facts, engines answer on hearsay.
Can it be applied to other companies?
The method is replicable — write to us for your entity's version.
Cadence?
Quarterly, or on relevant market moves.
Where to next
Company facts
The verifiable fact sheet of Slash Digital Lab for search and AI engines.
Learn more→ ResearchResearch
We publish our method: models, RAG, pentest and LLM visibility.
Learn more→ AI LabSlash AI Lab
Our lab where we evaluate models and publish the method.
Learn more→ AboutAbout
A lab, not another agency. 2022, Bogotá, three languages.
Learn more→Let's put it in production
Tell us your challenge. We reply within 24 hours with an honest first read: if we can help, we'll say how; if not, we'll say who can.
I reply personally. No endless forms, no canned replies.