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giga.ai
SUMMER 2023

giga.ai

Moderate AI visibility with 27 of 48 criteria passing. Biggest gap: schema.org structured data.

Developer Tools & InfrastructureAI & ML Platforms
51/100
1 since v1
F
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
6/10
Content Structure
~25% weight
6/10
Trust & Authority
~15% weight
3/10
Technical Foundation
~10% weight
4/10
AI Discovery
~10% weight
5/10

Verdict

Below-average AEO readiness at 51/100 - multiple areas need attention. Key strengths include llms.txt File, Fact & Data Density, and Canonical URL Strategy. Priority gaps: Schema.org Structured Data, Comprehensive FAQ Section, and Internal Linking Structure. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

How to Improve

Current
51/100
Projected
79/100
40Total Fixes
12Quick Wins
~81hEst. Effort
Quick Wins
Add question-based headingsConfigure robots.txt for AI crawlersImplement semantic HTML5 elementsAdd direct answer paragraphsAdd ai.txt and content licensingImprove query-answer alignmentAdd visible date signalsFocus blog content on core expertiseReduce extraction frictionImprove server response efficiencyReduce render-blocking resourcesReduce document weight
Fix HTML structure and meta tags
medium|low
Reduce render-blocking resources
high|low
Reduce document weight
high|low
Configure robots.txt for AI crawlers
high|trivial
Create complete sitemap.xml
medium|low
Add internationalization signals
critical|medium
Improve server response efficiency
high|low

Top Opportunities10

Ensure blog content consistently covers your core expertise areas rather than scattering across unrelated topics. AI engines build authority models - a site about "Medicare coverage" that also publishes about humidifiers and groceries dilutes its topical authority.

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

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.

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.

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 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.

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.

Implement JSON-LD structured data (Organization, Service, Product, FAQPage) on key pages. Schema markup helps AI engines extract and cite your content accurately.

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

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.

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Site Pages

giga.ai/drafts/customersold/capital-comF33
Enhancing Trading Support with AI-Powered Assistance - My Framer Site
giga.ai/insightsF36
Insights - Giga
giga.ai/voice-experienceF34
Voice Experience - Giga
giga.ai/newsF36
Blog - Giga
Changes since v1Last audited 76 days ago
50
51
+1
View full comparison →
Focus Content on Core TopicsAdd Direct Answer ParagraphsAdd Original Data & Case StudiesImprove Internal Linking ArchitectureBuild Comprehensive FAQ SectionAdd Answer Capsule PatternsAdd Content Freshness SignalsAdd Schema.org Structured DataStrengthen Entity Authority (NAP)Add Structured Tables & Lists

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