Company context
Define the brand, website, category, market context, and buyer question.
LingNav AILINGNAV MONITORING METHODOLOGY
Measure AI visibility
without overstating certainty.
LingNav uses a structured, reviewable workflow to separate discovery, recommendation, evidence, and uncertainty.
THE MONITORING MODEL
From company context to comparable evidence
A Monitoring Baseline fixes the company context and prompt snapshots first, then records independent runs and reviewed evidence before optimization work begins.
Prompt set
Use multiple prompt categories and repeated runs instead of treating one answer as a market conclusion.
Reviewed signals
Separate mention, recommendation, competitor appearance, and URL/source observations.
Evidence-led action
Use reviewed evidence to prepare tasks, then reuse the same prompt snapshots for a comparable re-test.
SIGNALS, NOT CLAIMS
How LingNav reads a response
Unaided
The brand is not supplied in the buyer/search prompt. This is the closest signal to organic discovery within that tested prompt set.
Aided
The brand is supplied explicitly. An aided mention can be a prompt-seeded echo and is not counted as organic discovery.
Mention
A response identifies or names the brand. Mention alone is not a recommendation.
Recommendation
A response endorses or includes the brand as a relevant provider. It is evaluated separately from mention.
Competitor appearance
Named alternative providers appearing in a response are recorded as response context, not market share.
Citation/source analysis
URLs or domains in a response are extracted and classified by source type; deterministic extraction can be reviewed and qualified.
Kimi is the current Production integration
LingNav's current Production Monitoring Baseline uses Kimi. ChatGPT, Gemini, Perplexity, Doubao, and other AI answer/search environments are target or expanding coverage, not current Production integrations.
What a baseline cannot prove
- AI outputs are probabilistic and can vary by prompt, provider, model, and time.
- A small baseline is directional evidence, not statistical certainty or a universal market result.
- One provider's answer does not represent all AI systems.
- First-party visibility does not equal independent recommendation or third-party validation.
- Prompt-seeded/aided results must remain separate from organic discovery.
READY TO START
Ready to discover
your AI visibility?
See how AI systems understand, cite, and recommend your business.
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