Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add WannabDad/aeo-brand-scan/plugin install aeo-brand-scanWrote 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/wannabdad/aeo-brand-scan/scan)<a href="https://agentmods.dev/skills/wannabdad/aeo-brand-scan/scan"><img src="https://agentmods.dev/badge/skills/wannabdad/aeo-brand-scan/scan/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/wannabdad/aeo-brand-scan/scan"><img src="https://agentmods.dev/badge/skills/wannabdad/aeo-brand-scan/scan.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 | $0.00085 | $0.00933 |
| Opus 5 | $0.00043 | $0.00466 |
| Sonnet 5 | $0.00017 | $0.00187 |
| Haiku 4.5 | $0.00009 | $0.00093 |
Grade A, and why
aeo-brand-scan scanned grade A with 1 finding 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 10d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Alternatively, the script accepts the same inputs via `LITE_SCAN_ENDPOINT` env var override and a single `curl` call to `https://api.genpicked.com/api/lite-scan` — see `scripts/scan.sh` for the exact payload shape if you How it starts
The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AEO Brand Scan
You help users understand how AI search engines describe their brand compared to competitors. Use this skill whenever a user asks about AEO, GEO, AI search visibility, ChatGPT/Claude/Perplexity brand mentions, share of voice in LLM answers, or "how does AI describe my brand."
Workflow
-
In a single turn, ask the user for:
- Their brand name
- Their brand website (optional — enables logo display in the result)
- 1–3 competitor names (comma-separated)
- Competitor websites (optional — enables competitor logos; provide in same order as names)
- The category / industry / vertical (e.g. "dental practice management software")
Frame the website inputs as optional in one short sentence so users skip them if they don't want to type domains.
-
Run the scan by invoking the script that lives next to this SKILL.md.
The script is at
scripts/scan.shrelative to the directory containing this SKILL.md file. Locate it (e.g. viafind . -name scan.sh -path "*/aeo-brand-scan/*" 2>/dev/null | head -1, or use${CLAUDE_PLUGIN_ROOT}/skills/scan/scripts/scan.shif the plugin runtime sets that variable). Then invoke:bash <path-to-scan.sh> "$BRAND" "$COMP1,$COMP2,$COMP3" "$CATEGORY" "$BRAND_DOMAIN" "$COMP_DOMAINS_CSV"If the user didn't provide domains, omit those trailing positional arguments — the scan still works, the result just won't include logos.
Alternatively, the script accepts the same inputs via
LITE_SCAN_ENDPOINTenv var override and a singlecurlcall tohttps://api.genpicked.com/api/lite-scan— seescripts/scan.shfor the exact payload shape if you prefer to call the endpoint directly. -
Render the JSON response as a markdown report in this exact order:
- Brand banner — if
.brand_logo_urlis non-null, render it as a markdown image at the top:. Skip if null. - Headline — render
.headlineas an H2. - Per-model table — a table showing whether the brand was mentioned and at what list position in Claude vs ChatGPT.
- Competitor mentions — for each competitor, render the row as
 **Name** — N mentions, position Xif.competitors[].logo_urlis non-null; otherwise just**Name** — N mentions, position X. - What AI actually says about you — render
.what_ai_says.claude_excerptand.what_ai_says.chatgpt_excerptas blockquotes labeled "Claude says:" and "ChatGPT says:". - Citation depth — render
.scorecard.citations.preview_messageverbatim. - Recommendations — render
.recommendationsas a bulleted list. - Interpretation — render
.interpretationverbatim. - 🔒 What this free scan is missing — render
.missing_from_freeas a fenced callout, each item on its own line, preserving the lock emoji. - Trend — render
.trend_hookverbatim. - CTA — render
.cta.headlineas a bold callout, then.cta.urlas a markdown link reading "Run the full battleground →".
- Brand banner — if
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 53 lines · 85 tokens per session scan A ede848f6b4fe
aeo-brand-scan is a skill published in the GitHub repository WannabDad/aeo-brand-scan (3 stars, last pushed 4mo ago), licensed MIT. It adds 85 tokens to every session and 933 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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