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 does
You paste a URL. The tool:
- Fetches the page through the proxy.
- 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
- Each dimension scores 0-100.
- Aggregates into an AEO Health Score (mean of 10).
- Builds a ranked fix list — every dimension scoring under 80 contributes specific fixes.
- 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 — <meta name="robots" content="noai"> 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 — predecessor single-dimension tool
- Mega Analyzer — broader site analyzer (SEO + schema + E-E-A-T)
- Mega Security Analyzer — security-focused orchestrator
- 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 — 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.
