dataify-google-ai-modeWhen users search for information using Google AI Model, this skill is employed
Install via ClawdBot CLI:
clawdbot install dataify-server/dataify-google-ai-modeGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://scraperapi.dataify.com/request`Potentially destructive shell commands in tool definitions
eval(Calls external URL not in known-safe list
https://dataify.com/dashboardAudited Jun 2, 2026 · audit v1.0
Generated Oct 2, 2026
Marketing teams query Google AI Mode for target keywords to capture how AI-generated answers summarize their brand versus competitors. The skill converts each request into a Dataify Scraper API form submission and returns the raw response for storage or diffing. This enables week-over-week tracking of AI answer changes without manual browser checks.
Content strategists use the skill to run Google AI Mode queries on high-intent topics and collect the cited sources in the AI response. The returned raw payload is sent downstream to a parser that extracts domains and page titles. Writers then target the same citation slots with improved content.
Market researchers issue queries with different `gl` and `hl` values to compare Google AI Mode outputs across countries and languages. The skill's confirmation table helps them verify country, language, and cache parameters before each run. Results feed localization and market-entry reports.
E-commerce analysts query Google AI Mode for product categories and buying-guide prompts, then ingest the AI-generated summaries and source lists into an internal research database. The skill returns unmodified API bodies, preserving citation links for attribution. This supports assortment and pricing decisions.
Agencies run batch Google AI Mode queries for multiple client keywords using the same confirmation and token workflow per client. Raw outputs are archived and scored for brand mentions and citation share. The audit deliverables show clients how visible they are in AI-generated answers.
A subscription platform that automates Google AI Mode queries across a customer's keyword list and stores normalized answer snapshots. It offers dashboards for brand mention tracking, citation share, and change alerts. The skill handles the confirmation and raw API retrieval steps at the data collection layer.
A data provider that packages regional Google AI Mode outputs and derived citation graphs into licensed datasets. Analysts combine query parameters like country and language to produce comparable cross-market panels. Customers include consultancies, brands, and research firms.
An agency retainer model where consultants use Google AI Mode snapshots to identify citation gaps and recommend content changes. Deliverables include visibility audits, citation target lists, and monthly progress reviews. The skill provides the underlying raw AI answer data collection.
💬 Integration Tip
Run the bundled `scripts/preview_params.py` to generate the required Markdown confirmation table before any API call, and never reuse placeholder examples like `pizza` or `us` as defaults. Execute `scripts/google_ai_mode.py` with `python3` from the skill directory and return the raw response body without summarizing, translating, or reshaping it.
Scored Oct 2, 2026
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