What content length is best for AI visibility?

There's no magic number, but content must fully answer the question. Under 300 words rarely gets cited — too thin. Over 5,000 words can bury key answers. The sweet spot is thorough coverage with clear structure. Use headings to make long content navigable. Put answers in the first paragraph of each section.

What is included in the Scale plan?

The Scale plan includes everything in Growth plus the intelligent content pipeline - context-aware, humanized content production that continuously fills AI visibility gaps. It adds visibility analysis with competitor tracking, entity authority engineering, original data strategy, and ongoing optimization across all 22 criteria.

What is a content depth score?

Content depth score uses AI evaluation to judge whether your pages cover topics with enough breadth and depth to be considered authoritative. A shallow page that skims a topic scores low even with perfect technical markup — because AI engines compare your depth against competing sources in real time.

What is the AEO Content Pipeline?

A context-aware content production pipeline that learns your domain, competitive landscape, and brand voice — then continuously produces citation-optimized content to fill your AI visibility gaps. It goes beyond auditing what’s missing to actually creating the content that gets you cited.

What industries benefit most from AEO?

Any industry where customers ask questions before buying. Healthcare, legal, financial services, SaaS, e-commerce, professional services, and education see strong results because people use AI assistants to research these topics before making decisions.

aeocontent.ai - AEO Audit Report | 90/100

aeocontent.aiDeveloper Tools & Infrastructure AI & ML Platforms

Strong AI visibility with 21 of 22 criteria passing. Biggest gap: content publishing velocity.

Scoring Methodology

How Your AEO Score Is Calculated

A weighted average of 22 deterministic criteria. Each scored 0-10, each with a specific weight. No AI judgment calls - every point is traceable.

AI-first contentOut of 100 possible points

The Formula

Score = sum(criterion_score / 10 * weight * 100) / sum(weights)

Each criterion is scored 0-10 by deterministic checks, multiplied by its weight, and summed to produce a 0-100 overall score.

Your Score Breakdown

Content7 criteria

Q&A Content Format15%10/10+15.0

FAQ Sections10%10/10+10.0

Original Data10%6/10+6.0

Content Freshness7%10/10+7.0

Direct Answer Paragraphs7%10/10+7.0

Fact & Data Density5%7/10+3.5

Definition Patterns4%7/10+2.8

Subtotal58%+51.3

Structure5 criteria

Schema.org JSON-LD15%10/10+15.0

Clean, Crawlable HTML10%10/10+10.0

Semantic HTML55%10/10+5.0

Table & List Extractability7%8/10+5.6

Schema Coverage3%7/10+2.1

Subtotal40%+37.7

Discovery5 criteria

llms.txt10%10/10+10.0

robots.txt for AI5%10/10+5.0

Internal Linking10%10/10+10.0

Sitemap Completeness5%9/10+4.5

RSS/Atom Feed3%7/10+2.1

Subtotal33%+31.6

Trust Signals5 criteria

Entity Authority10%8/10+8.0

Content Licensing4%10/10+4.0

Author & Expert Schema4%9/10+3.6

Canonical URL4%10/10+4.0

Content Velocity3%3/10+0.9

Subtotal25%+20.5

Overall Score100%90/100

Score Ranges

86-100AI-first content architecture

71-85Strong AI visibility

56-70Moderate visibility

41-55Weak visibility

26-40Minimal visibility

0-25Not on the radar

Key Points

Schema.org and Q&A format carry the highest weight at 15% each across 22 total criteria.

No HTTPS means Clean HTML is capped at 3/10, costing approximately 3-4 overall points.

Every criterion uses deterministic checks. Same site, same audit, same score - every time.

Read full scoring methodology →

0-49

50-69

69-100

ContentCategory Average

9/10

StructureCategory Average

9/10

DiscoveryCategory Average

10/10

Trust SignalsCategory Average

8/10

Verdict

aeocontent.ai is highly AEO-ready with a strong technical foundation: HTTPS is enabled, llms.txt and ai.txt are present, robots.txt explicitly allows major AI crawlers, and the homepage contains rich structured data (7 JSON-LD blocks across types like Organization, FAQPage, Service, HowTo, WebSite, WebPage, and BreadcrumbList). Content is also extraction-friendly, with 22 question-format headings, 20 question-answer pairs, and semantic HTML/accessibility signals that are consistently implemented. The main gaps are trust and recency signaling: sitemap lastmod values are uniform across all 941 URLs on 2026-02-22, case studies lack quantified outcomes, and many facts are uncited. Closing those credibility and freshness gaps would materially improve citation likelihood in AI-generated answers.

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#1of 656 overall

#1of 26 in Developer Tools & Infrastructure

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Scoreboard

Criteria

Status

Potential

Score

Structured Data Coverage7 JSON-LD blocks; 9 schema types across findingsRich entity markup improves how AI systems interpret services, FAQs, brand identity, and page intent.

Sitemap Scale941 URLs (100% with lastmod)Strong crawl surface and indexing breadth, but freshness trust depends on accurate per-page modification dates.

Publishing Velocity Signal1 distinct lastmod date in 90 daysUniform date patterns can look automated and reduce confidence in real content recency.

Top Opportunities

Changes since v7

→

-6

Criterion

Delta

Entity Authority & NAP Consistency

10/10

8/10

-2

Original Data & Expert Analysis

10/10

6/10

-4

Content Publishing Velocity

10/10

3/10

-7

+ Fix Synthetic Lastmod Timestamps

+ Increase Real Publishing Cadence

+ Quantify Case Studies

+ Add Source Citations to Key Statistics

+ Link and Promote an Expert Insights Hub

+ Implement Schema @id Graph Linking

+ Expose RSS/Atom in <head>

+ Standardize NAP Prominence Across Templates

+ Expand Snippet-Optimized Answer Blocks

+ Strengthen llms.txt Governance

- Add RSS/Atom Discovery Tag in <head>

- Add Source Citations to Quantitative Claims

- Implement Schema @id Entity Linking

- Complete Organization Schema to 10/10 Fields

- Increase External Evidence Linking

- Expand Snippet-Zone Answer Blocks

- Add Citation/Source Properties in Schema

- Strengthen AI Policy Cross-Linking

- Template-Level FAQ and HowTo Schema Rollout

- Automate AEO Validation in CI

View full comparison →

Improve Your Score

Guides for the criteria with the most room for improvement

intelligence3/10

Content Depth Score: What AI Engines Actually Want to Read

AI-evaluated measurement of whether your content goes deep enough for engines to treat you as a primary source -not just a page that technically exists.

HardHigh impactRead guide →

Core6/10

Original Data: The Content AI Can't Find Anywhere Else

AI has a trust hierarchy for sources. At the top: proprietary data and first-hand expert analysis. At the bottom: rewritten Wikipedia articles. We've watched AI preferentially cite sites with original benchmarks -even over bigger competitors.

HardHigh impactRead guide →

technical7/10

RSS Feed Presence & Quality

Sitemaps tell crawlers what exists. RSS feeds tell them what changed. If you don't have one, your new content waits days -or weeks -to be discovered.

EasyLow impactRead guide →

technical7/10

Canonical URL Strategy

Same content, three URLs, zero canonical tags. Congratulations -you just split your authority three ways and gave AI crawlers a headache.

MediumMedium impactRead guide →