On this page
- RNX-1010.T001 · Property and access scope
- RNX-1010.T002 · Search metric provenance
- RNX-1010.T003 · Query cohort comparability
- RNX-1010.T004 · Ranking observation context
- RNX-1010.T005 · Generative report availability diagnosis
- RNX-1010.T006 · Missing-value export preservation
- RNX-1010.T007 · Generative metric aggregation reconciliation
- RNX-1010.T008 · Generative report surface boundary
- RNX-1010.T009 · Overlapping Google totals prevention
- RNX-1010.T010 · Bing sparse-citation handling
- RNX-1010.T011 · Grounding-query meaning preservation
- RNX-1010.T012 · Filtered citation export consistency
- RNX-1010.T013 · Citation-share denominator disclosure
- RNX-1010.T101 · Topics Portfolio uncertainty preservation
RNX code library · 14 controls
RNX-1010Search Reporting Provenance
Read what these checks mean, why they matter and which evidence they concern. Each ID below keeps its canonical place in the RNX hierarchy.
These are free learning summaries, not full technical tests or an industry certification. Specialized checks apply only to the relevant feature. Experimental labels are preserved from the canonical source.
RNX-1010.T001
Property and access scope
Experimental — not an established ranking requirement
Check that owner reports cover the intended website property.
Why it matters. Data from the wrong site or address version can lead to wrong conclusions.
Illustration — fictional. A report covering one address version is presented as covering every secure subdomain.
When it applies. Inspected target: report property. Use this check only when that object or feature exists in the review scope; provider-specific checks require that provider's integration. Missing evidence remains unknown.
RNX-1010.T002
Search metric provenance
Experimental — not an established ranking requirement
Keep dates, search type and filters with each metric.
Why it matters. A number without its scope cannot support a fair comparison.
Illustration — fictional. Appearances in image search are labeled as ordinary web-search appearances.
When it applies. Inspected target: metric series. Use this check only when that object or feature exists in the review scope; provider-specific checks require that provider's integration. Missing evidence remains unknown.
RNX-1010.T003
Query cohort comparability
Experimental — not an established ranking requirement
Disclose changes in which searches belong to a comparison group.
Why it matters. A different sample can look like growth even when performance is unchanged.
Illustration — fictional. Extra brand-name spellings are added only to the later period of a comparison.
When it applies. Inspected target: cohort comparison. Use this check only when that object or feature exists in the review scope; provider-specific checks require that provider's integration. Missing evidence remains unknown.
RNX-1010.T004
Ranking observation context
Experimental — not an established ranking requirement
Record the conditions of a ranking observation.
Why it matters. Location, time and search context limit what one result can tell you.
Illustration — fictional. A result seen on a phone in one city is reported as a universal ranking.
When it applies. Inspected target: rank observation. Use this check only when that object or feature exists in the review scope; provider-specific checks require that provider's integration. Missing evidence remains unknown.
RNX-1010.T005
Generative report availability diagnosis
measurement method
Record whether an AI-related report is available and why that may be uncertain.
Why it matters. A missing low-volume report does not prove exclusion.
Illustration — fictional. Missing report entered as zero AI impressions.
When it applies. Inspected target: report availability. Use this check only when that object or feature exists in the review scope; provider-specific checks require that provider's integration. Missing evidence remains unknown.
RNX-1010.T006
Missing-value export preservation
measurement method
Preserve unavailable values when exporting reports.
Why it matters. A tool's replacement zero must not become a claim of no activity.
Illustration — fictional. An unavailable value becomes zero during export and is plotted as a measured zero.
When it applies. Inspected target: export missing value. Use this check only when that object or feature exists in the review scope; provider-specific checks require that provider's integration. Missing evidence remains unknown.
RNX-1010.T007
Generative metric aggregation reconciliation
measurement method
Keep page-level and whole-site AI report totals distinct.
Why it matters. Adding page counts may not reproduce the provider's site-level measure.
Illustration — fictional. A report adds page-level counts and labels them as the provider's whole-site total.
When it applies. Inspected target: aggregate label. Use this check only when that object or feature exists in the review scope; provider-specific checks require that provider's integration. Missing evidence remains unknown.
RNX-1010.T008
Generative report surface boundary
measurement method
Name the Google experiences a report actually covers.
Why it matters. A limited report cannot stand for every AI provider or experimental surface.
Illustration — fictional. Google report called all AI platforms.
When it applies. Inspected target: surface label. Use this check only when that object or feature exists in the review scope; provider-specific checks require that provider's integration. Missing evidence remains unknown.
RNX-1010.T009
Overlapping Google totals prevention
measurement method
Avoid adding a Google subset to totals that already include it.
Why it matters. Double counting creates imaginary extra reach.
Illustration — fictional. A report adds 20 AI appearances to 100 web appearances even though the 20 were already included.
When it applies. Inspected target: combined total. Use this check only when that object or feature exists in the review scope; provider-specific checks require that provider's integration. Missing evidence remains unknown.
RNX-1010.T010
Bing sparse-citation handling
measurement method
Treat an empty sampled Bing citation view cautiously.
Why it matters. No citation in that sample is not proof of no citation ever.
Illustration — fictional. No rows becomes never cited anywhere.
When it applies. Inspected target: sparse report claim. Use this check only when that object or feature exists in the review scope; provider-specific checks require that provider's integration. Missing evidence remains unknown.
RNX-1010.T011
Grounding-query meaning preservation
measurement method
Describe reported grounding phrases as retrieval context.
Why it matters. They are not necessarily customers' exact questions or explanations of ranking.
Illustration — fictional. An aggregate retrieval phrase is described as the exact question a customer typed.
When it applies. Inspected target: grounding phrase label. Use this check only when that object or feature exists in the review scope; provider-specific checks require that provider's integration. Missing evidence remains unknown.
RNX-1010.T012
Filtered citation export consistency
measurement method
Document differences between filtered citation reports.
Why it matters. Forcing unequal views to match can hide important limits in the data.
Illustration — fictional. Different views forced equal through invented events.
When it applies. Inspected target: export comparison. Use this check only when that object or feature exists in the review scope; provider-specific checks require that provider's integration. Missing evidence remains unknown.
RNX-1010.T013
Citation-share denominator disclosure
measurement method
Explain the denominator and covered experiences behind a citation share.
Why it matters. A percentage means little without knowing what it is a share of.
Illustration — fictional. A share within one reported topic is called the business's share of the entire AI market.
When it applies. Inspected target: citation share. Use this check only when that object or feature exists in the review scope; provider-specific checks require that provider's integration. Missing evidence remains unknown.
RNX-1010.T101
Topics Portfolio uncertainty preservation
measurement method
Preserve uncertainty in a reported topic portfolio.
Why it matters. Broad topic information should not be presented as exact customer questions or guaranteed demand.
Illustration — fictional. A reported range of 100 to 200 is restated as exactly 150 citations.
When it applies. Inspected target: topic portfolio row. Use this check only when that object or feature exists in the review scope; provider-specific checks require that provider's integration. Missing evidence remains unknown.