Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add indranilbanerjee/digital-marketing-pro --skill aeo-auditgit clone --depth 1 https://github.com/indranilbanerjee/digital-marketing-proWrote 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/indranilbanerjee/digital-marketing-pro/aeo-audit)<a href="https://agentmods.dev/skills/indranilbanerjee/digital-marketing-pro/aeo-audit"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/digital-marketing-pro/aeo-audit/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/indranilbanerjee/digital-marketing-pro/aeo-audit"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/digital-marketing-pro/aeo-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00029 | $0.02432 |
| Opus 5.5 | $0.00012 | $0.00973 |
| Sonnet 5.5 | $0.00006 | $0.00486 |
| Haiku 4.5 | $0.00003 | $0.00243 |
Grade A, and why
aeo-audit 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 today.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- aeo-audit — 95% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/digital-marketing-pro:aeo-audit
Purpose
Evaluate the brand's visibility and accuracy across AI answer engines. Analyze how the brand is cited, described, and recommended by ChatGPT, Perplexity, Google AI Mode (the conversational search surface that became Google's default at I/O 2026 — ~1B MAUs as of May 2026), Google AI Overviews, Gemini, and Microsoft Copilot. Produce optimization recommendations to improve AI visibility.
AI Mode vs AI Overviews — why both matter: AI Overviews are the summary block at the top of a classic Google SERP and trigger on a subset of queries. AI Mode is a conversational tab (and now the default search experience for opted-in users) backed by Gemini 3.5 Flash with deeper reasoning, follow-ups, and a different citation pattern. The two surfaces select different sources for the same query in a large share of cases (internal observation, 05/2026 — "40–60%" is a rough estimate; re-verify against your own probe set). Audit both.
Copilot citation gaps from Bing (13 Oct 2026): Bing Webmaster Tools → AI Performance → Topics Portfolio (beta) lists, per topic, approximate citations across all sites, how many sites are cited, and Top Opportunity Queries: grounding queries where other sites are cited and yours is not. It is the first first-party citation-gap list; use its opportunity queries to seed this audit's probe set, and label its figures approximate (Bing does). It shows no clicks, and the tab appears only when Bing has enough data for the site. Source: Bing Webmaster blog.
Cross-reference with GSC AI Performance Report (rolled out 3 June 2026): The Google Search Console AI Performance Report (UK rollout first, global to follow) gives you actual impressions in AI Overviews + AI Mode for verified properties. Synthetic probe results from this skill should be reconciled against GSC actuals — see /digital-marketing-pro:gsc-ai-performance for the workflow. Important caveat: the GSC report intentionally excludes click data; click-through attribution must come from GA4 (the new AI Assistant channel group, added 13 May 2026, captures Medium=ai-assistant referrals from ChatGPT/Gemini/Claude; see /digital-marketing-pro:analytics-insights).
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.
- today Changed · +2 lines 12c7730f3521
- 18d ago Changed · -144 tokens per session 60a7fa3d3a95
- 1mo ago First seen · 115 lines · 173 tokens per session scan A 111ca7cd0958
aeo-audit is a skill published in the GitHub repository indranilbanerjee/digital-marketing-pro (911 stars, last pushed today), licensed MIT. It adds 29 tokens to every session and 2,432 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
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