Python 2 min read

Measure Competitor Visibility Across a Fixed Keyword Sample

Measure competitor visibility across a fixed keyword sample with a stable denominator.

(Updated: ) • 272 words

Measure competitor visibility across a fixed keyword sample with a stable denominator. A domain appearing on sampled SERPs is an observed presence, not a traffic estimate or a complete keyword inventory. Keep the market and checked depth with every keyword result.

Define the sampled visibility calculation

Input Rule
Keyword cohort Freeze the included query identities
Market Keep engine, country, language and device comparable
Depth Record the result range actually observed
Domain match Use an explicit hostname policy
Failures Exclude from valid-observation denominator and report separately
Output Report presence in the defined sample only

Do not turn missing collection into a ranking loss

A successfully collected SERP with no matching domain is a valid absence within the checked depth. A timeout is not. Store both outcomes, report collection coverage and keep any visibility ratio conditional on the defined sample.

When the cohort changes, create a new cohort version rather than presenting the change as a direct period comparison. Use the same source URLs to inspect whether competitors answer a different user task or simply appear in the same broad topic.

Use the sample to prioritize review

Hostname and missing-rank fixtures validate the collection boundary. The keyword-gap guide turns these observations into editorial candidates; this page defines the sampled measurement.

  • Identify queries where an existing owner is close to the observed competitor set.
  • Check current search intent and page types before proposing content.
  • Review evidence and internal entry points for the specific page job.
  • Do not infer market share, search volume or competitor revenue from the presence ratio.

Reference documentation: www.searchcans.com — /google-search-api.

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Python SERP API Tutorial SEO Web Scraping AI Agent RAG
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