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altvia.com

altvia.com

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

Marketing AutomationEmail & Marketing Platforms
55/100
1 since v1
F
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
6/10
Trust & Authority
~15% weight
5/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
7/10

Verdict

Below-average AEO readiness at 55/100 - multiple areas need attention. Key strengths include Internal Linking Structure, Sitemap Completeness, and RSS/Atom Feed. Priority gaps: llms.txt File, Content Licensing & AI Permissions, and Speakable Schema. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

How to Improve

Current
55/100
Projected
83/100
35Total Fixes
11Quick Wins
~51hEst. Effort
Quick Wins
Create /llms.txt fileAdd question-based headingsConfigure robots.txt for AI crawlersImplement semantic HTML5 elementsAdd structured tables and listsAdd definition-style contentAdd ai.txt and content licensingImprove query-answer alignmentAdd visible date signalsPackage evidence for AI enginesClarify entity boundaries
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Configure robots.txt for AI crawlers
high|trivial
Fix HTML structure and meta tags
low|low
Add internationalization signals
critical|medium
Reduce render-blocking resources
medium|low
Reduce document weight
medium|low
Improve server response efficiency
medium|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.

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.

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.

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

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.

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

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.

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

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

Rewrite multi-clause sentences into single-claim statements under 20 words. Pages with Flesch-Kincaid grade 16 outperform grade 19 in citation rates.

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Site Pages

altvia.com/resources/edge-natural-resourcesF33
Edge Natural Resources Is On Top of Their Game With Investor Relations - Altvia
altvia.com/capital-raisingF36
Capital Raising - Altvia
altvia.com/analyticsF37
Analytics | Data & Reporting Purpose-Built For Private Capital
Changes since v1Last audited 76 days ago
54
55
+1
View full comparison →
Focus Content on Core TopicsAdd Owned Data SignalsAdd Structured Tables & ListsRestructure Content as Q&ABuild Comprehensive FAQ SectionImprove Question-Answer AlignmentIncrease Content DepthPackage Evidence for AIAdd First-Hand Experience SignalsImprove Sentence Atomicity

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