Name: Agent SEO Pack v1.0
Brand: The Autonomous Stack
SKU: agent-seo-v1
Price: 3.00 USD
Availability: InStock

A self-hosted, autonomous on-page SEO auditor & monitor. Point it at your pages (local HTML or live URLs); it scores each one 0-100 against a transparent on-page rule set and emits JSON + Markdown reports — so you catch SEO regressions before search engines do.

Overview

agent-seo-v1 audits the things you actually control on a page: the title and meta description, heading structure, image alt coverage, canonical and viewport tags, Open Graph metadata, indexability (robots), content depth, and whether internal links resolve. Every check is deterministic and explainable — there is no black box and no third-party SaaS call. You get a numeric score, a letter grade (A-F), and a per-check table telling you exactly what to fix.

The core runs with no API key and no LLM at all. If you connect a coding-agent CLI (Claude Code / Kimi Code / Codex), the agent additionally drafts improved titles and meta descriptions for weak pages via the Rewriter prompt — your CLI subscription is the only billing relationship.

This pack targets operators of content sites, docs, landing pages and small catalogues who want a recurring, scriptable SEO health check on their own infrastructure. It is not a rank tracker, a crawler for the whole web, or a backlink tool — it audits the pages you give it.

Who it is for

Engineers shipping marketing/landing pages who want a CI-style SEO gate.
Docs and content teams watching for accidental noindex, missing meta, or thin pages after a migration.
Anyone running a static site who wants a nightly score with zero SaaS lock-in.

Architecture

┌─────────────────────────────────────────────────────────────────────┐
│                    Targets (URLs / .html files)                      │
└──────────────────────────────────┬──────────────────────────────────┘
                                   ▼
┌─────────────────────────────────────────────────────────────────────┐
│   DISCOVER → FETCH → AUDIT → SCORE → REPORT                          │
│                        OODA monitoring loop                          │
└──────────────────────────────────┬──────────────────────────────────┘
                                   ▼
┌─────────────────────────────────────────────────────────────────────┐
│  Deterministic on-page rules  →  Score 0-100 + grade A-F            │
│  (title, meta, headings, alt, canonical, OG, robots, links…)        │
└──────────────────────────────────┬──────────────────────────────────┘
                                   ▼
┌─────────────────────────────────────────────────────────────────────┐
│  JSON + Markdown report  →  optional BYO-LLM title/meta rewrite      │
└─────────────────────────────────────────────────────────────────────┘

Pack contents

File	Role
`README.md`	This file — overview and quick-start
`SOUL.md`	Mission, values and the SEO-specific OODA states
`PROMPTS.md`	Named, versioned prompts loaded by `agent.py`
`CHECKLIST.md`	20+ deployment & operating steps with commands
`SPEC.md`	Technical spec, scoring weights, configurable params
`CUSTOMIZE.md`	Where to plug in your own pages and thresholds
`OPERATING_COST_ESTIMATE.md`	Provider-agnostic cost method
`CHANGELOG.md`	Version history
`agent.py`	Runnable auditor (deterministic core + BYO-LLM)
`llm_adapter.py`	BYO-LLM CLI adapter (claude/kimi/codex, no key)
`install.sh`	One-shot Debian installer (venv + systemd)
`agent-seo-v1.service`	Reference systemd unit (template)
`test_agent.py` / `smoke_test.sh`	Offline test suite (no keys, no network)
`samples/*.html`	Two demo pages (one strong, one weak)
`templates/*.{json,yaml}`	Targets list + tuning template

Quick start

# 1. Install (Debian/Ubuntu): system deps + venv + optional systemd service
sudo bash install.sh

# 2. Audit the bundled samples (fully offline — no keys, no network)
python3 agent.py audit samples/ --format md

# 3. Audit a single page or a live URL
python3 agent.py audit samples/poor.html
python3 agent.py audit https://example.com

# 4. Run one monitoring cycle over the configured targets
python3 agent.py run --once

Expected on the samples: samples/good.html scores ~95 (grade A), samples/poor.html scores low (grade F) and lists exactly what is wrong.

LLM vs deterministic — an honest table

Capability	Without LLM (default)	With a connected CLI
On-page scoring & grading	✅ full	✅ full
Per-check pass/warn/fail detail	✅	✅
Broken internal-link detection	✅	✅
JSON + Markdown reports	✅	✅
Title / meta rewrite suggestions	⚠️ length-based guidance	✅ drafted copy

The audit is 100% useful with no LLM. The LLM only makes the fix suggestions smarter; it never gates the score.

Common operations

python3 agent.py audit ./public --format md --out seo.md   # audit a built site dir
python3 agent.py rewrite samples/poor.html                  # suggest better title/meta
python3 agent.py run --once --deterministic                 # force no-LLM cycle
python3 agent.py status                                      # backend + last cycle

Configuration

All thresholds are environment variables (tune without editing code) — see SPEC.md and templates/seo_rules.yaml. Monitoring targets live in templates/seo_targets.json (see CUSTOMIZE.md).

License

Personal use per purchase. Resale prohibited.

Agent SEO Pack v1.0

What's inside