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EDITORIAL STANDARD · METHODOLOGY

Nolina Editorial and Research Methodology

Nolina separates observed facts, vendor claims, estimates, inference, and unavailable data so a reader can see what supports each conclusion and when it was last checked.

THE SHORT VERSION

Key takeaways

  • Primary and vendor-authored sources document current product facts; they are not independent performance proof.
  • Semrush volumes and traffic are estimates and remain separate from first-party Search Console data.
  • Unavailable product data is labeled not reportable rather than published as zero.

Nolina publishes content about its own product, competitors, and outbound operating practices. That creates an obvious incentive to overstate certainty. This methodology defines how claims are sourced, labeled, reviewed, and corrected.

Source order

  1. 01

    Primary source

    Official policy, regulation, documentation, source material, or direct product behavior.

  2. 02

    Vendor-authored source

    Used to document what a competitor says the product does, not independent proof that it performs well.

  3. 03

    Independent research

    Used when method, sample, date, and limitations can be inspected.

  4. 04

    Estimate or inference

    Used only with an explicit label and without being written as observed fact.

Evidence labels

LabelMeaning
VerifiedChecked against a current source on the visible date.
Vendor claimThe vendor states the capability; performance is not independently established.
EstimateThird-party modeled data such as keyword volume or organic traffic.
InferenceA conclusion drawn from cited facts and identified as such.
UnverifiedA relevant claim that could not be confirmed.
Not reportableA defined metric without a qualifying cohort or safe denominator.

Author, reviewer, and real dates

Nolina Research is the authoring desk. Alexander, Co-Founder at Nolina, reviews product and positioning claims. Each article shows its publication date, reviewer, and last-verified date. A date changes only after the sources and material product claims are rechecked.

Competitor comparisons record the review date and cite official pages. Products change; old citations do not prove current behavior.

Corrections and original data

Material errors are corrected in place and the verification date is updated. Original-data reports publish definitions, denominators, exclusions, privacy thresholds, and version changes. Missing data is never converted to zero.

Search topics are initially prioritized with Semrush estimates. Google recommends Search Console as the source of truth for search performance and Analytics for on-site behavior; Nolina follows that separation once first-party properties are connected.

COMMON QUESTIONS

Frequently asked questions

Who writes and reviews Nolina content?

Nolina Research prepares the material. Alexander, Co-Founder at Nolina, reviews product claims, positioning boundaries, and the visible last-verified date.

How are competitor claims verified?

Comparisons use official product pages and vendor documentation to describe positioning and available capabilities. Undocumented controls are labeled unverified rather than assumed absent.

How is keyword data used?

Semrush estimates inform topic priority and search intent. Once available, Search Console impressions and clicks become the source of truth for Nolina’s actual search performance.

How can a correction be requested?

Use the Nolina contact page and include the page URL, claim, and supporting source. Material corrections update the visible verification date.

CONTINUE READING

Related resources

Q3 Governance BenchmarkSee how unavailable and qualifying data are reported.A Signal Is Not EvidenceApply the same standard to outbound claims.Contact NolinaSubmit a correction with supporting evidence.

SOURCE NOTES

Sources and further reading

  1. Using Search Console and Google Analytics Data for SEOGoogle Search Central
  2. Semrush API OverviewSemrush
  3. Artificial Intelligence Risk Management FrameworkNIST

Vendor-authored sources are used to document definitions, workflows, or platform policies—not as independent proof of product performance.

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