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mtccrm.com

mtccrm.com

Moderate AI visibility with 30 of 48 criteria passing. Biggest gap: speakable schema.

Developer Tools & InfrastructureDeveloper Platforms
56/100
2 since v1
F
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
6/10
Content Structure
~25% weight
7/10
Trust & Authority
~15% weight
5/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
8/10

Verdict

Below-average AEO readiness at 56/100 - multiple areas need attention. Key strengths include llms.txt File, Schema.org Structured Data, and Q&A Content Format. Priority gaps: Speakable Schema, Owned Data Density, and Creator Transparency. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

How to Improve

Current
56/100
Projected
82/100
34Total Fixes
10Quick Wins
~55hEst. Effort
Quick Wins
Configure robots.txt for AI crawlersBuild FAQ sections with schemaAdd definition-style contentAdd direct answer paragraphsAdd ai.txt and content licensingFocus blog content on core expertiseIncrease content depth and structureMake pages solve the user task fasterReduce extraction frictionReduce document weight
Reduce render-blocking resources
critical|medium
Fix HTML structure and meta tags
medium|low
Configure robots.txt for AI crawlers
high|trivial
Reduce document weight
high|low
Create /llms.txt file
medium|trivial
Add internationalization signals
critical|medium
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.

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.

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.

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 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.

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.

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

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

Fix It With AI34

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Site Pages

mtccrm.com/power-apps-code-first-development-with-react-p...D51
Power Apps Code-First Development| Enterprise Apps with React
mtccrm.com/business-central-software-servicesF38
Business Central Software Services | ERP & Custom Solutions
mtccrm.com/simplifying-administration-with-the-dynamics-3...F38
Simplifying Administration with the Dynamics 365 Business Central Admin Center - MTCCRM
Changes since v1Last audited 52 days ago
58
56
-2
View full comparison →
Focus Content on Core TopicsAdd Original Data & Case StudiesAdd Structured Tables & ListsAdd Direct Answer ParagraphsAdd Owned Data SignalsImprove Citation-Ready WritingIncrease Content DepthAdd Answer Capsule PatternsIncrease Fact & Data DensityPackage Evidence for AI

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