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greenboard.com
WINTER 2024

greenboard.com

Moderate AI visibility with 28 of 48 criteria passing. Biggest gap: llms.txt file.

Finance & PaymentsCorporate Finance Platforms
56/100
2 since v1
F
Citation Avg
Answer Readiness
~40% weight
8/10
Content Structure
~25% weight
6/10
Trust & Authority
~15% weight
4/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
5/10

Verdict

Below-average AEO readiness at 56/100 - multiple areas need attention. Key strengths include Q&A Content Format, Original Data & Expert Analysis, and Fact & Data Density. Priority gaps: llms.txt File, RSS/Atom Feed, and Table & List Extractability.

#3314of 26585
#215of 1391 in Finance & Payments
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How to Improve

Current
56/100
Projected
80/100
41Total Fixes
14Quick Wins
~83hEst. Effort
Quick Wins
Create /llms.txt fileStrengthen entity authority (NAP)Build FAQ sections with schemaLink orphan pages into site navigationImplement semantic HTML5 elementsAdd ai.txt and content licensingEnhance author and expert schemaFix canonical URL strategyExtend schema to inner pagesAdd visible date signalsIncrease content depth and structureImprove citation-ready writing qualityPackage evidence for AI enginesReduce document weight
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Fix canonical URL strategy
critical|low
Reduce document weight
high|low
Fix HTML structure and meta tags
low|low
Configure robots.txt for AI crawlers
medium|trivial
Create complete sitemap.xml
medium|low
Add internationalization signals
critical|medium
Improve server response efficiency
medium|low

Top Opportunities10

Use HTML tables for comparison data and ordered/unordered lists for features, steps, and specifications. Structured data formats are directly extractable by AI engines for answers.

Write concise, standalone answer paragraphs (2-3 sentences) immediately after question headings. These "snippet-ready" paragraphs are ideal for AI engine citations.

Expand articles to 1000+ words with structured H2/H3 sections, comparison tables, and expert analysis. Thin content (under 300 words) is rarely cited by AI engines. Deep, well-structured articles demonstrate expertise.

Include "our analysis", "our data", "our testing" phrases backed by original research or proprietary data. 52.2% of AI-cited posts contain owned data signals.

Write 20-25 word self-contained answer sentences immediately after each H2 heading. 72.4% of AI-cited posts use this pattern - it gives engines a ready-made snippet to quote.

Define the primary entity in the first 500 characters, use consistent terminology (same term 70%+), and add "unlike X" signals to help AI engines distinguish your topics.

Show direct use, testing, implementation, or lived experience with concrete observations, examples, screenshots, and lessons learned.

Create a dedicated FAQ page with FAQPage schema markup. Cover common questions about your products, services, and industry to become a direct answer source for AI engines.

Write self-contained definition sentences and single-claim statements that AI engines can quote directly. Avoid pronouns like "this" or "that" at the start of answer paragraphs.

Include dateModified schema, visible last-updated dates, and time elements on content pages. Fresh content signals help AI engines prioritize your pages over stale alternatives.

Fix It With AI39

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Site Pages

www.greenboard.com/case-studies/root-financialF38
How Root Financial Scales Compliance for High-Volume Marketing Content
www.greenboard.com/partnershipsF32
Partnerships
www.greenboard.com/compare/hadriusF37
Greenboard vs Hadrius
www.greenboard.com/greenboardgoF35
GreenboardGo
Changes since v1Last audited 76 days ago
54
56
+2
View full comparison →
Add Structured Tables & ListsAdd Direct Answer ParagraphsIncrease Content DepthAdd Owned Data SignalsAdd Answer Capsule PatternsAdd Entity DisambiguationAdd First-Hand Experience SignalsBuild Comprehensive FAQ SectionImprove Citation-Ready WritingAdd Content Freshness Signals

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