What is answer-engine-optimizer?

A content-optimisation skill for helping a brand get cited by AI answer services such as Google AI Overviews, ChatGPT, Perplexity, and Gemini.

Scoring drafts, creating page-by-page improvement checklists, and checking whether live AI answers mention the brand or competitors.

It identifies changes that can make content clearer and more suitable for use as a cited answer source.

answer-engine-optimizer — Skill for Claude Code and Codex by siddiqss: A content-optimisation skill for helping a brand get cited…

Install

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.

agentmods

npx agentmods add skills/siddiqss/semantic-seo-suite/answer-engine-optimizer

Any agent

npx skills add siddiqss/semantic-seo-suite --skill answer-engine-optimizer

Clone the repo

git clone --depth 1 https://github.com/siddiqss/semantic-seo-suite

Made for: Claude Code, Codex.

Or install semantic-seo-suite, the plugin that ships this one along with the rest of its 10 skills.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/siddiqss/semantic-seo-suite/answer-engine-optimizer.svg)](https://agentmods.dev/skills/siddiqss/semantic-seo-suite/answer-engine-optimizer)

Your own site

<a href="https://agentmods.dev/skills/siddiqss/semantic-seo-suite/answer-engine-optimizer"><img src="https://agentmods.dev/badge/skills/siddiqss/semantic-seo-suite/answer-engine-optimizer.svg" alt="Measured on agentmods" height="20"></a>

Per session 147 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,079 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00147	$0.01079
Opus 5	$0.00073	$0.00540
Sonnet 5	$0.00029	$0.00216
Haiku 4.5	$0.00015	$0.00108

Measured 5d ago against content hash c369151bcd0a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

answer-engine-optimizer 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 5d 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.

skills/answer-engine-optimizer/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

answer-engine-optimizer

The citation feedback loop. Where seo-performance-tracker measures Google rankings, this optimizes for being the source an LLM quotes — which, for a tool category whose buyers research inside ChatGPT and Perplexity, is where a lot of the demand now decides.

It reuses the suite's spine: read the brand workspace, respect the grounding tier, tag every value, and feed results back into the map and calendar. It layers onto the on-page map — same nodes, hardened — it does not replace it.

Read first: ../../framework/answer-engine-optimization.md (the method + the honesty rules), then ../../framework/macro-micro-semantics.md (the writing tactics it scores).

Preconditions

entity-profile.json + topical-map.json exist (run seo-brand-foundation / topical-map-builder first).
Drafts to score live in brands/<slug>/drafts/. With no drafts yet, the skill still produces the hardening spec and the live-answer probe.
Live-answer probing needs grounding.sources.web_search: true (T1). Without it, do the offline scoring only and say the probe was skipped — do not guess citations.

Workflow

Score citation-readiness (T0, offline). For each draft:
```
python ../../scripts/aeo_score.py --draft brands/<slug>/drafts/<slug>.md \
  --schema-dir brands/<slug>/data/schema --json
```
Run it after validate_draft.py is clean — AEO is advisory, fabrication is a gate. Collect score, grade, and the specific fixes (DEF / QA / TLDR / LIFT / BREV / SELF / SCHEMA). Scores are measured (mechanical), the recommended rewrites are asserted.
Probe live answer engines (T1, web_search). For the highest-value target queries (core-section, especially comparison/alternative nodes), query them answer-style and record, per query + engine + date: is the brand named? cited with a link? which competitor sources are quoted instead? This is a dated spot check (n=1 per probe), labelled measured — not a rank tracker. Never aggregate it into a visibility %.

Read the full file on GitHub · 79 lines

Files

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.

evals/evals.json 984 B

Changes

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.

5d ago First seen · 79 lines · 147 tokens per session scan A c369151bcd0a

Subscribe to this mod's changes

answer-engine-optimizer is a skill published in the GitHub repository siddiqss/semantic-seo-suite (7 stars, last pushed 2mo ago), licensed MIT. It adds 147 tokens to every session and 1,079 once invoked, about $0.0007 per session on Opus 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.

Marketing and SEO aeo claude-code claude-skills content-marketing generative-engine-optimization geo

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answer-engine-optimizer

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

How it starts

answer-engine-optimizer

Preconditions

Workflow

What ships with it

What this file has done since we first saw it

Other skills, from other repositories

fire-your-seo-agency

geo-loop

content-scoring

competitive-analysis

schema-generator

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