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cashboard.co
SUMMER 2022

cashboard.co

Weak AI visibility with 16 of 48 criteria passing. Biggest gap: llms.txt file.

Finance & PaymentsCorporate Finance Platforms
40/100
2 since v1
F
Citation Avg
Answer Readiness
~40% weight
5/10
Content Structure
~25% weight
3/10
Trust & Authority
~15% weight
2/10
Technical Foundation
~10% weight
3/10
AI Discovery
~10% weight
5/10

Verdict

Critical AEO gaps at 40/100 - cashboard.co is largely invisible to AI engines. Key strengths include Fact & Data Density, Canonical URL Strategy, and Content Cannibalization. Priority gaps: llms.txt File, Schema.org Structured Data, and Internal Linking Structure.

How to Improve

Current
40/100
Projected
76/100
41Total Fixes
11Quick Wins
~100hEst. Effort
Quick Wins
Create /llms.txt fileFix HTML structure and meta tagsConfigure robots.txt for AI crawlersLink orphan pages into site navigationImplement semantic HTML5 elementsAdd direct answer paragraphsAdd ai.txt and content licensingAdd visible date signalsImprove citation-ready writing qualityReduce extraction frictionFix duplicate content blocks
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Fix HTML structure and meta tags
high|low
Reduce document weight
critical|medium
Configure robots.txt for AI crawlers
high|trivial
Create complete sitemap.xml
medium|low
Add internationalization signals
critical|medium
Improve server response efficiency
medium|low
Reduce render-blocking resources
medium|low

Top Opportunities10

Publish original research, statistics, case studies, or proprietary data that AI engines can cite. Unique data points make your content a primary source rather than a derivative one.

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.

Ensure every question-format heading (H2/H3) is followed by a direct answer paragraph. This pattern is ideal for AI engine snippet extraction.

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.

Strengthen internal linking with descriptive anchor text between related pages. Add breadcrumb navigation and ensure every key page is reachable within 3 clicks from the homepage.

Sections within pages contain identical or near-identical text. LLMs may flag this as low-quality or thin content, reducing citation authority. Rewrite duplicate blocks with unique angles.

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

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.

Add question-based headings (H2/H3) throughout your content. Use "What is...", "How does...", "Why should..." patterns that match how users query AI assistants.

Add inline citations to external sources, "According to [Source]..." attribution phrases, and a Sources section at the end of key articles.

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Site Pages

cashboard.co/case-studies/alpine-energy-servicesF37
Cashboard | Your last FP&A hire
cashboard.co/featuresF35
Cashboard | Your last FP&A hire
Changes since v1Last audited 76 days ago
42
40
-2
View full comparison →
Add Original Data & Case StudiesIncrease Content DepthImprove Question-Answer AlignmentAdd Structured Tables & ListsImprove Internal Linking ArchitectureFix Duplicate Content BlocksAdd Direct Answer ParagraphsAdd Owned Data SignalsRestructure Content as Q&APackage Evidence for AI

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