← ClaudeAtlas

apify-google-ai-overview-monitoringlisted

Monitor whether a brand or domain is cited in Google AI Overviews with the Apify Google AI Overview API Actor (johnvc/Google-AI-Overview-API). Run a watchlist of queries on a schedule, check ai_overview_present, match your domain against the cited references, and build a citation history keyed by the fetched_at timestamp for AEO and GEO reporting. Use when the user wants google ai overview monitoring or tracking, brand visibility in AI Overviews, AI search visibility checks for a brand or client, answer engine optimization (AEO) or generative engine optimization (GEO) measurement, competitor citation share in AI Overviews, or alerts when a domain drops out of an AI Overview. Pay-per-retrieval billing, MCP-ready for Claude and other AI agents.
johnisanerd/claude-skill-google-ai-overview-monitoring · ★ 0 · AI & Automation · score 66
Install: claude install-skill johnisanerd/claude-skill-google-ai-overview-monitoring
# Google AI Overview Monitoring: Brand Citations Over Time Watch how a brand shows up in Google's AI Overviews. Run a fixed list of queries on a schedule, score each answer for whether your domain is cited, and build a history of citation share for AEO and GEO reporting. ## When to use this skill - The user wants to monitor or track a brand, domain, or client in Google AI Overviews. - They want AI search visibility, AEO, or GEO measurement for a set of queries. - They want competitor citation share: which domains AI Overviews cite in their category. - They want alerts when a domain drops out of an overview, or when an overview disappears for a money query. Not for: one-off answer extraction or ad hoc lookups (use the google-ai-overview-api skill), organic rank tracking (this reads the AI Overview only), or other engines' AI answers (see `references/actor-index.md` for Bing, Brave, and Naver equivalents). ## The signals (one row per query per run) Each row carries `ai_overview_present` (did an overview show at all), `references` (each cited source with `link`, `source`, `index`, plus `title` and `snippet` when present), `text_blocks` (the answer text, for brand mentions that are not linked), and `fetched_at` (the ISO timestamp that keys your time series). `gl` and `hl` echo the market targeting so multi-country histories stay separable. Per query per run, the derived metrics are: overview shown (yes or no), brand cited (any `references[].link` or `references[].source` m