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geckoboard.com

geckoboard.com

Moderate AI visibility with 32 of 48 criteria passing. Biggest gap: llms.txt file.

60/100
3 since v1
D
Citation Avg
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
9/10
Trust & Authority
~15% weight
4/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
6/10

Verdict

Below-average AEO readiness at 60/100 - multiple areas need attention. Key strengths include Q&A Content Format, Table & List Extractability, and Direct Answer Paragraphs. Priority gaps: llms.txt File, Content Licensing & AI Permissions, and Speakable Schema.

#840of 13363
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How to Improve

Current
60/100
Projected
84/100
38Total Fixes
4Quick Wins
~67hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersAdd ai.txt and content licensingReduce document weight
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Configure robots.txt for AI crawlers
high|trivial
Reduce document weight
high|low
Fix HTML structure and meta tags
low|low
Improve server response efficiency
medium|low
Reduce render-blocking resources
medium|low
Create complete sitemap.xml
low|low
Add internationalization signals
medium|low

Top Opportunities10

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.

Add specific numbers, percentages, statistics, and data points throughout your content. Fact-dense content gives AI engines concrete data to cite rather than vague claims.

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.

Add Organization schema with consistent name, address, phone (NAP). Include sameAs links to social profiles and authoritative directories to strengthen entity recognition.

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.

Shorten sentences to under 25 words, use active voice in lead paragraphs, define jargon inline, and avoid hiding content behind accordions or display:none.

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.

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Site Pages

developer.geckoboard.comD47
Geckoboard Datasets API
www.geckoboard.com/dashboard-examples/sales/sales-rep-das...F34
Sales rep dashboards | Geckoboard
www.geckoboard.com/best-practice/kpi-examples/training-ex...F39
Training Expenses | KPI example | Geckoboard
www.geckoboard.com/product/data-sources/nicereplyD40
Nicereply dashboards | Geckoboard
www.geckoboard.com/docsF35
Article | Gecko Docs
www.geckoboard.com/dashboard-examples/sales/sales-opportu...F32
Sales Opportunities Dashboard Example | Geckoboard
www.geckoboard.com/dashboard-examples/marketing/cmo-dashb...F33
CMO Dashboard Example | Geckoboard
Changes since v1Last audited 52 days ago
57
60
+3
View full comparison →
Increase Content DepthAdd Owned Data SignalsIncrease Fact & Data DensityAdd Answer Capsule PatternsStrengthen Entity Authority (NAP)Add First-Hand Experience SignalsBuild Comprehensive FAQ SectionImprove Citation-Ready WritingReduce Extraction FrictionAdd Entity Disambiguation

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