# All AEO Probes In One Orchestrator AEO has fragmented into 15+ individual audits. Nobody runs them all in sequence. The Mega AEO Analyzer orchestrates 10 dimensions in one pass and emits a single Health Score with ranked fixes — equivalent to Profound's $499/mo dashboard, free. Author: J.A. Watte Published: April 23, 2026 Source: https://jwatte.com/blog/blog-tool-mega-aeo-analyzer/ --- Answer Engine Optimization in 2026 looks a lot like SEO in 2014. Lots of tactics, lots of individual checks, no clean way to score "is my site AEO-ready." Operators run citation-readiness, hallucination-detector, retrievability, schema, freshness audits separately — and never combine them into one number an executive can act on. Profound built the orchestrator as a $499/mo SaaS dashboard. Athena AI built it as $899/mo. Peec AI built it as $1200/mo. The orchestration layer is the moat; the individual probes underneath are mostly straightforward HTML + heuristics. Mega AEO Analyzer is the orchestrator at $0/mo. It runs 10 dimensions in one pass and emits a single AEO Health Score (0-100) with ranked fixes. ## What the [Mega AEO Analyzer](/tools/mega-aeo-analyzer/) does You paste a URL. The tool: 1. Fetches the page through the proxy. 2. Runs 10 AEO probes in parallel: - **Schema density** — how many distinct schema.org types - **Attribution coverage** — claims with citation links - **Passage retrievability** — paragraph length distribution (40-100 words ideal) - **Freshness signals** — dateModified + datePublished + "as of" language - **Crawler accessibility** — noindex / X-Robots-Tag posture - **Tokenizer efficiency** — punctuation density, numeric density, content length - **Prompt-injection defense** — body content scanned for injection-shaped strings - **AI-bot meta posture** — noai / noimageai meta tags - **Speakable surface** — Speakable schema presence - **Author / E-E-A-T** — Person schema, author meta, rel=author 3. Each dimension scores 0-100. 4. Aggregates into an AEO Health Score (mean of 10). 5. Builds a ranked fix list — every dimension scoring under 80 contributes specific fixes. 6. Emits an AI prompt that asks for ROI-ordered fix sequences with exact code patches. ## The 10 dimensions, ranked by AEO impact **1. Schema density** — Without structured data, LLMs guess about your content type. With it, they know. Aim for ≥3 schema types (Article + Organization + WebSite minimum). **2. Attribution coverage** — LLMs increasingly downrank pages with naked claims. Inline citations are how you signal trustworthiness. **3. Passage retrievability** — Paragraphs in the 40-100 word range are the most-citable. Long paragraphs (>120 words) get truncated; short ones (<20) lack context. **4. Crawler accessibility** — A noindex'd page is invisible to AI. Sounds obvious; happens more than you'd think. **5. AI-bot meta posture** — `` is an emerging signal that some bots honor. If you accidentally added it (or a CMS did), you're invisible. **6. Freshness signals** — dateModified, datePublished, and "as of [year]" language. LLMs weight freshness more aggressively in 2026 than 2024. **7. Author / E-E-A-T** — A page with an attributed Person + sameAs links is more trustworthy to LLMs than an anonymous one. **8. Tokenizer efficiency** — Pages that tokenize cheaply get more of their content into the LLM context window. Better citations. **9. Speakable surface** — A small but easy win. Identifies the most-quotable passages explicitly. **10. Prompt-injection defense** — More important for security than AEO directly, but pages with injection patterns get filtered or de-trusted. ## What the Health Score thresholds mean - **90-100** — AEO-leader posture. All major signals strong. - **75-90** — solid. A few dimensions worth polishing. - **60-75** — typical SMB site. Multiple gaps — addressable. - **40-60** — meaningful AEO debt. Substantial work. - **Under 40** — AEO-blind. Likely missing schema, attribution, freshness, or visibility entirely. ## Why an orchestrator beats 10 separate audits Three reasons: **1. ROI ordering.** An orchestrator can tell you "Add Article schema first; it'll lift Schema density AND give Author + Freshness a place to live." That cross-dimension reasoning is invisible when you run probes separately. **2. Single number for an executive.** "Our AEO Health Score is 47" is a thing a non-technical stakeholder can react to. "Our schema density is medium and our retrievability is low" requires translation. **3. Re-audit cadence.** One number to track over time. Run the orchestrator monthly; watch the score climb as fixes ship. ## The 30-day Mega-AEO upgrade path **Week 1:** Run the orchestrator on your top 10 highest-value pages. Note the per-dimension scores. **Week 2:** Tackle the lowest-scoring dimensions across all pages. If schema is weak everywhere, that's your week-2 project. **Week 3:** Tackle the second-lowest dimension. By now you should have lifted all 10 pages by 15-30 points each. **Week 4:** Re-audit. Verify the lift. Plan the next 30-day cycle for the dimensions still under 80. By day 90 the average page should be at 80+ Health Score. AI citation frequency typically lifts within 30-60 days of crossing that threshold. ## What this orchestrator can't do The Mega AEO Analyzer is page-level. It doesn't measure: - **Site-wide signals** like aggregate domain authority or backlink quality - **Off-page citation tracking** — what AI engines actually cite (use the AI Citation Position Tracker for that) - **Conversion downstream of citation** (use the AI Answer Conversion Path Audit) - **Drift over time across model releases** (use the Model Preference Drift Detector) The orchestrator is the readiness measurement. The other tools measure outcomes. ## Related reading - [AI Citation Readiness](/tools/ai-citation-readiness/) — predecessor single-dimension tool - [Mega Analyzer](/tools/mega-analyzer/) — broader site analyzer (SEO + schema + E-E-A-T) - [Mega Security Analyzer](/tools/mega-security-analyzer/) — security-focused orchestrator - [Mega SEO Analyzer](/tools/mega-seo-analyzer/) — SEO orchestrator ## Fact-check notes and sources - AEO probe set: synthesis of community consensus 2024-2026 on which signals AI engines weight - Profound dashboard parity: [Profound — AEO platform](https://www.tryprofound.com/) — feature comparison based on public docs as of 2026-04 - Score thresholds (40 / 60 / 80): heuristic — based on observed jump-points in citation frequency from community testing *This post is informational, not AEO-consulting advice. Mentions of Profound, Athena AI, Peec AI, OpenAI, Anthropic, Google are nominative fair use. No affiliation is implied.* --- Canonical HTML: https://jwatte.com/blog/blog-tool-mega-aeo-analyzer/ RSS: https://jwatte.com/feed.xml JSON Feed: https://jwatte.com/feed.json Hero image: https://jwatte.com/images/blog-tool-mega-aeo-analyzer.webp