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 oegeyilmaz9/seo-aeo-geo-ultimate --skill seo-aeogit clone --depth 1 https://github.com/oegeyilmaz9/seo-aeo-geo-ultimateWrote 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/oegeyilmaz9/seo-aeo-geo-ultimate/seo-aeo)<a href="https://agentmods.dev/skills/oegeyilmaz9/seo-aeo-geo-ultimate/seo-aeo"><img src="https://agentmods.dev/badge/skills/oegeyilmaz9/seo-aeo-geo-ultimate/seo-aeo/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/oegeyilmaz9/seo-aeo-geo-ultimate/seo-aeo"><img src="https://agentmods.dev/badge/skills/oegeyilmaz9/seo-aeo-geo-ultimate/seo-aeo.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 | $0.00104 | $0.01182 |
| Opus 5.5 | $0.00042 | $0.00473 |
| Sonnet 5.5 | $0.00021 | $0.00236 |
| Haiku 4.5 | $0.00010 | $0.00118 |
Grade A, and why
seo-aeo 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 22d 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.
How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO AEO
Markdown delivery contract
Read markdown-delivery-contract.md for every task. Write a substantive .md document for every material work step and register its direct destination in the work index.md. For public-site work, apply the owner-required Markdown discovery profile across the full eligible inventory; preserve native standards and immutable evidence formats.
Lane outputs: aeo-findings.md; answer-map.md (combine small related steps with stable section links). Audit substantive Markdown answers alongside their pinned HTML/source captures: self-contained meaning, question-to-section access, completeness, dates, limitations and HTML parity. Keep formal Research Pack requirements for engine-scoped claims. Route publisher navigation/parity defects to technical/content owners without inventing engine evidence.
Produce an evidence-linked AEO Optimization Brief from immutable inputs. Audit answer readiness; do not implement the remedies.
Required inputs
- Require a contract-valid
research-pack.jsonfromai-search-research. - Require a dated, bundle-relative capture plus a hash-pinned target-metadata file containing target ID, type, locale, supplied source URL, capture reference, capture SHA-256, and capture time. Never trust Brief fields without matching metadata, invent a canonical URL, or audit an uncaptured, unpinned, or silently refreshed page.
- Record inaccessible, incomplete, stale, or locale-mismatched inputs as limitations. Do not infer missing content.
- Read audit-protocol.md before scoring findings or recommending a handoff.
Procedure
- Verify the Research Pack identity, schema version, hash, declared locales, queries, evidence, ground truth, and gaps.
- Verify every target capture, capture time, target type, and locale. Stop with an explicit gap if a required capture is missing.
- Audit only these AEO dimensions:
- direct-answer completeness;
- question, intent, audience, and journey-stage coverage;
- answer clarity and self-contained meaning;
- claim-to-evidence support and freshness;
- entity and terminology consistency within the answer;
- visible-content consistency with any supplied structured-data representation.
- Verify every Brief target field against the hash-pinned metadata file. Record target observations as intra-brief
direct_observationevidence pinned to the target capture and metadata-supplied source URL. Do not invent a URL or republish Research Pack source records as audit evidence. A target finding must cite that observation; research-dependent conclusions must also cite scope-matched Research Pack evidence. - Bind each finding to resolved Research Pack query IDs. Keep the finding locale equal to its target locale and keep engine/surface scope within those queries' applicability.
- Classify each observation as
confirmed,vendor-recommended,experimental, orspeculative. A finding or confidence level cannot exceed its weakest necessary premise. Speculative evidence never supports an implementation recommendation. Experimental-only support belongs inexperiments; route unsupported premises to limitations, declined claims, or research backlog. - Reject unsupported formulas, word-count thresholds, guaranteed placements, universal crawler claims, and universal engine-mandatory
llms.txtclaims intodeclined_claims. - Create an
optimization-brief.jsonwithoptimization_domain: "aeo"andproducer_skill: "seo-aeo". Pin every external evidence reference to the immutable Research Pack hash. UseSELFonly for an intra-briefaudit_evidencereference. Keep stable IDs unique and never copy Research Pack evidence intoaudit_evidence. - Give every recommendation its own evidence references, desired outcome, confidence, verification method, and exactly one candidate implementation owner. Its evidence must overlap every linked finding and remain scope-compatible. A Brief does not approve a change.
- Set
created_atafter all target captures and audit observations. Validate Research Pack uniqueness, chronology, capture hashes, query applicability, evidence resolution and scope, and the Optimization Brief contract before delivery.
What ships with it
7 files 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.
- agents/openai.yaml 508 B
- references/audit-protocol.md 3.3 KB
- references/contracts/contracts-lock.json 1.5 KB
- references/contracts/evidence-record.schema.json 1.7 KB
- references/contracts/optimization-brief.schema.json 6.3 KB
- references/contracts/research-pack.schema.json 5.2 KB
- references/markdown-delivery-contract.md 4.3 KB
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.
- 22d ago Changed · +7 lines a81666c7e971
- 1mo ago First seen · 57 lines · 104 tokens per session scan A ae1fa3b5f620
seo-aeo is a skill published in the GitHub repository oegeyilmaz9/seo-aeo-geo-ultimate (5 stars, last pushed 22d ago), licensed Apache-2.0. It adds 104 tokens to every session and 1,182 once invoked, about $0.0004 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 2026-08-31.
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