SeaSight GEO's reports and backend metrics adhere to the principle of "explainable, traceable, no disguising." All public reports, trend judgments, and case reviews distinguish between public search results, client-authorized samples, proprietary test sets, and manual verification conclusions, avoiding packaging unverifiable AI outputs as facts.
Data Source Tiers
| Source Type | Purpose | Definition Notes |
|---|---|---|
| Public Search Results | Observe visible pages and citation sources in AI search / traditional search | Only records publicly accessible, re-examinable pages and result formats |
| Client-Authorized Monitoring Samples | Analyze brand mentions, citation domains, sentiment, and competitive gaps | Aggregated only within authorized client scope; no disclosure of sensitive business data |
| SeaSight GEO Proprietary Test Set | Track how B2B procurement questions evolve in answers across different AI engines | Uses a fixed question set, recording time, engine, question type, and result summary |
| Manual Verification | Determine whether citations are genuine, sentiment is accurate, and pages are suitable for citation | Manual spot-checks on key conclusions to prevent automated misjudgment |
How to Understand Core Metrics
Measures whether a brand appears in AI search answers, citation results, or related sources. It is not a traditional ranking, nor website traffic — it is whether AI "sees and understands" the brand.
Refers to the information source domains cited or relied upon in AI results. Official websites, encyclopedias, media, industry directories, and Q&A platforms can all become citation domains. The more stable the citation domain, the easier it is for AI to build trust in a brand entity.
Used to explain the tone when a brand is mentioned in AI/search results: positive, neutral, or negative. It is not a customer satisfaction survey, but rather a signal of external information context.
Used to distinguish whether a brand appears as a supplier, product source, case study, definition, comparison target, or ordinary web result. It answers "in what capacity is it mentioned," not "is the attitude good or bad."
What We Don't Do
- Treat a single AI chat result as a stable conclusion.
- Fabricate data, inquiry volumes, or revenue growth without client authorization.
- Package crawler limitations or technical constraints as "metrics" that clients shouldn't see.
- Publish industry rankings whose sources cannot be verified.
Why This Matters for GEO
The long-term value of GEO lies not in producing more pages, but in enabling AI to consistently cite trustworthy content. Clear data definitions help search engines, AI models, and potential customers determine: where these conclusions come from, what scenarios they apply to, and whether they are worth citing.
Related Reading
- Trend Reports & White Papers
- AI Search Watch Update Log
- GEO Key Metrics Glossary
- GEO Audit Case Template
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