Run SEO, AEO, and GEO website audits with the Sageo CLI and generate reviewed HTML reports.
npx skills add https://github.com/willem4130/sageo-cli --skill sageo-willem4130
Please help me install this Agent Skill. Skill: sageo Source: https://github.com/willem4130/sageo-cli/tree/main/.claude/skills/sageo Command: npx skills add https://github.com/willem4130/sageo-cli --skill sageo-willem4130
sageo run orchestrates crawl, audit, GSC, PSI, Labs, SERP, backlinks, AEO, and forecasting stages with budget caps, dry-run cost estimates, and resumable state under .sageo/. - AI visibility tracking: Fan prompts across ChatGPT, Claude, Gemini, and Perplexity, scan responses for brand mentions, and detect AI Overview exposure in SERPs. - Forecasting and comparison: Priority-tiered click-impact forecasts calibrated from .sageo/calibration.json, plus snapshot diffs via sageo compare to track whether recommendations worked. - Use Case: An SEO consultant runs sageo run https://client.example --budget 15, reviews LLM-drafted title and meta copy in the mandatory review gate, then hands the client a self-contained HTML report. ## Quick Start Ask the assistant to audit your website with Sageo, for example: "Run a full Sageo audit of https://example.com with a $10 budget and generate the HTML report."High-intent search queries and answers about installing and using this skill.
Run sageo init with your site URL, authenticate GSC with sageo auth login gsc, select the property with sageo gsc sites use, then run sageo run <url> --budget N. Finish with sageo recommendations review and sageo report html to produce the client report.
Use sageo aeo responses with --all to fan a prompt out to every engine, then run the free sageo aeo mentions scan to detect your brand terms in stored responses. Paid sageo aeo mentions search adds cross-engine domain share data.
No. Crawl, audit, PSI, GSC, compare, snapshots, and reporting are free. Paid tiers cover SERP, Labs, and GEO micro-calls, LLM drafting via Anthropic or OpenAI keys, and backlinks which need a DataForSEO deposit.
The pipeline hard-aborts when no Google Search Console property is selected for the project. Fix it by running sageo auth login gsc, sageo gsc sites list, then sageo gsc sites use <property>, or pass --skip gsc to opt out.
Treat the priority tier (high, medium, low, unknown) as the primary signal, not a specific click number. Forecasts are uncalibrated until enough observed lift records accumulate in .sageo/calibration.json, and caveats like insufficient_data must be surfaced.
Re-run sageo run after shipping changes, then run sageo compare to diff the latest snapshot against the previous one. It infers which recommendations were addressed and appends observed lift to calibration data when paired GSC data exists.
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