← ClaudeAtlas

searchcans-serp-content-gaplisted

Analyze a current, geo-targeted Google or Bing SERP with SearchCans and turn observed result features, People Also Ask questions, related searches, knowledge graph, and news signals into an evidence-backed, account-aware content decision brief. Use for localized SEO/GEO planning, keyword research, competitor-page analysis, and search-intent analysis.
SearchCans/searchcans-skills · ★ 3 · AI & Automation · score 77
Install: claude install-skill SearchCans/searchcans-skills
# SearchCans SERP Content Gap Turn a current localized SERP into a concise content decision brief grounded in observed result features. Treat the output as a research snapshot, not a rank-tracking guarantee or a claim that every feature appears on every SERP. ## Define the search market Collect the target keyword, search engine, country, language, intended audience, and the page or product the user wants to improve. Use `country` and `language` together; do not silently substitute a default market when localization matters. Set `SEARCHCANS_API_KEY` in the execution environment. Never store it in a file or commit it. ## Collect SERP evidence Run one page first. Request more pages only if the analysis requires them; `--page 3` sends the API batch parameter `page=3`, which requests pages 1–3 and consumes additional search credits. The script retries only transient failures, twice at most by default; use `--retries 1` when credit minimization matters more than recovery. ### Pagination safety This Skill deliberately uses only the API parameter `page`; it never sends `p`. `p` is a Google-specific direct-page selector outside this workflow. Never combine `p` and `page` in a manual modification of the request: the parameters describe different modes and their combined response is not a reliable evidence set. For Google, `--page N` is an inclusive batch request for pages 1 through N. The returned `organic` list is flattened, but every result retains its upstream `page` field