Borrowing it
Nothing to install: this file belongs to FlorianBruniaux/google-search-console-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/FlorianBruniaux/google-search-console-mcp/main/.claude/skills/ai-overviews-impact/SKILL.mdgit clone --depth 1 https://github.com/FlorianBruniaux/google-search-console-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/florianbruniaux/google-search-console-mcp/ai-overviews-impact)<a href="https://agentmods.dev/skills/florianbruniaux/google-search-console-mcp/ai-overviews-impact"><img src="https://agentmods.dev/badge/skills/florianbruniaux/google-search-console-mcp/ai-overviews-impact/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/florianbruniaux/google-search-console-mcp/ai-overviews-impact"><img src="https://agentmods.dev/badge/skills/florianbruniaux/google-search-console-mcp/ai-overviews-impact.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00107 | $0.00402 |
| Opus 5 | $0.00053 | $0.00201 |
| Sonnet 5 | $0.00021 | $0.00080 |
| Haiku 4.5 | $0.00011 | $0.00040 |
Grade A, and why
ai-overviews-impact scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
AI Overviews Impact Analysis
Measure how Google's AI Overviews are affecting organic click-through rates on the property.
Steps
- Call
list_propertiesto confirm the exactsite_url. - Call
ai_overviews_impactto get the dedicated report on queries where AI Overviews appear and their CTR compared to queries without. - Call
compare_search_periodsfor the last 90 days vs. the prior 90 days, usingdimensions=queryandlimit=100. - From step 3, isolate queries where position held steady or improved but CTR declined by more than 15%. These are the primary AI Overview candidates.
- Sort those queries by impressions descending and take the top 20.
Output format
AI Overview impact summary: total queries affected, estimated clicks lost vs. 90 days ago, overall CTR delta.
Most impacted queries table: Query | Position | Impressions | CTR now | CTR 90d ago | CTR delta | Est. clicks lost
Strategic recommendations:
- Which query types are most cannibalized (informational vs. navigational vs. transactional)
- Whether to optimize for AI Overview inclusion (structured answers, schema markup) or shift focus to transactional intents where AI Overviews are less prevalent
- Queries safe from AI Overviews that are worth reinforcing
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 33 lines · 107 tokens per session scan A 9ccdbcab0007
ai-overviews-impact is a skill published in the GitHub repository FlorianBruniaux/google-search-console-mcp (11 stars, last pushed 10d ago), licensed MIT. It adds 107 tokens to every session and 402 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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