Shipping outloud.

The methodology is now fully open. The hosted product is the convenient version.

• AEO-SPEC-v1 — the formal scoring methodology published as a versioned spec under MIT license on GitHub.
• `npx aeo-audit` — zero-dependency Node CLI for scoring any URL in your terminal.
• WordPress plugin — admin page + `[aeo_badge]` shortcode + weekly auto-audit.
• Shopify Liquid snippet + drag-and-drop section for theme editor.
• Webflow Embed snippets — static badge, static card, and JS-powered dynamic card.

All four projects MIT-licensed, separate GitHub repos. Install in 60 seconds.

Open data for the AEO category.

• /leaderboard — public rankings of category-leading brands, refreshes every 6 hours. * /leaderboard/[category] — 7 category drill-downs (SaaS, dev infra, fintech, ecommerce, AI labs, media, creator tools).
• /api/v1/leaderboard — MIT-licensed JSON dataset, citable in research.
• /api/v1/rubric — full scoring rubric as machine-readable JSON.
• /research/aeo-2026 — first pillar research piece, built from leaderboard data.
• /alternatives/[competitor] — honest comparison guides for every major AEO tool.
• Per-page Open Graph share cards across `/vs/[comparison]` and `/grade/[domain]`.

The opposite of a black box.

• /rubric — every scoring signal documented with what we measure, why it matters, and how to fix it. Source citations inline.
• /rubric/[signal] — dedicated explainer page per signal.
• /atlas — curated directory of brands with strong AEO signals, Wikidata-verified.
• /engines + /engines/[engine] — per-engine guides: ChatGPT, Claude, Perplexity, Google AI Overview, AI Mode, Gemini, Copilot, You.com.
• /case-studies — illustrative composite walkthroughs of how teams move their scores.
• /compare/[a]/[b] — quick head-to-head between any two domains.
• /badge/[domain] — embeddable SVG badge for sites to display their grade.

Programmatic surface for high-intent buyer queries.

• /grade + /grade/[domain] — quick grader, letter A–F, no signup. Daily-cached per domain.
• /tools — schema.org JSON-LD generator, Open Graph image checker, robots.txt analyzer.
• /vs/[comparison] — head-to-head comparison pages.
• /stats — public corpus stats.
• ⌘K command palette — keyboard-driven navigation across all destinations.

Signal expansion grounded in published AEO research.

• BLUF (Bottom-Line-Up-Front) detection.
• Structural depth scoring (GEO-SFE methodology from arXiv:2603.29979).
• Wikidata brand-entity validation at probe time.
• llms.txt validator + generator per the llmstxt.org spec.
• Sub-query coverage scoring.
• Mega-page coverage signal.
• YouTube embed weighting per Ahrefs 2025 research.

Site-wide multi-page audit, query expansion, and closed-loop schema verification all shipped together.

Added E-E-A-T as a dedicated rubric category covering first-person evidence, case study evidence, author credentials, byline depth, brand entity, press mentions, privacy/terms, and contact info.

Wikidata brand-entity check runs at probe time — sites without a verified brand entity fail the trust anchor signal that engines use to validate identity.

Audit result pages now cache at the CDN edge for 24 hours per slug. Viral shares hit the CDN, not the database.

Cold-start UX: visible 5-stage progress meter during longer probes so users see real work happening (crawling → probing → embedding → computing → building fix kit).