How we measure search
Search intelligence with its limits showing.
True View Solutions maintains a recurring observation system for the KwaZulu-Natal search market. This page explains what it collects, what it can support, and where a responsible analyst must stop.
The current published snapshot
Observed 2026-08-21. This is a dated platform snapshot, not a permanent product claim.
What we collect
- Repeated Google search-result observations, including organic positions and local results where available.
- Ranking movement, new appearances, exits, top-three and top-ten crossings, and query-level history.
- Public domain and page structure, technical signals, structured data, crawlability and performance evidence where the collection succeeds.
- Content and blog-profile observations, including publishing activity and location/service coverage.
- Selected business-profile and review observations, kept separate from organic ranking evidence.
How the analysis works
Collection creates dated observations. Processing joins compatible observations, checks coverage and records the conditions under which they were collected. The analysis layer then looks for repeated movement, market structure, provider agreement, and associations between observed site characteristics and search visibility.
When a movement is large or unusual, the system investigates it against prior runs and comparison groups. A finding is stronger when it repeats across independent runs, has adequate support, survives data-quality checks and remains plausible after competing explanations are considered.
Correlation is not causation
A business with more original content may also be older, better known, better reviewed and better resourced. Observational data can show that conditions appear together; it cannot automatically prove which condition caused a ranking change. Our published findings therefore use language such as associated with, consistent with and working hypothesis unless stronger evidence is available.
What can change the observation
- Google changes its results and systems continuously.
- Location, device, provider, result depth and query wording affect the result set.
- Timeouts, DNS failures, provider limits and incomplete enrichment can reduce the evidence available for a run.
- A technical score describes measured implementation signals; it is not a guarantee of ranking performance.
Questions
The methodology: common questions
- Does your data prove why a website ranks?
- No. The system measures repeated search observations and tests associations between observed characteristics and visibility. A pattern can produce a useful hypothesis without proving that one factor caused a ranking change.
- How current are the public figures?
- The published platform figures are dated snapshots. This page currently reflects the 2026-08-21 snapshot and will change as the monitoring registry and successful collection runs change. Individual research articles retain the historical dataset used for their own analysis.
- What does the system not measure?
- It does not know private traffic, conversions, revenue, Google internal ranking decisions, or every search result a person might see. Location, device, provider, result depth and collection failures affect what can be observed.