Write.Think.Do.
wtd.to
ATTENTION NEEDED: 60 points of AI visibility and representation risk remain
Analyzed by DeepSeekWrite.Think.Do. is a personal brand and blog by a software developer, primarily focused on .NET, software architecture, and development practices. Within its niche target market of technical professionals seeking expert insights, the brand has modest AI visibility; AI systems can recognize it as a developer blog but lack deep content coverage and widespread recognition. Its short domain, wtd.to, acts as a memorable hub but is not widely indexed in AI training data beyond niche tech references.
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Gemini
ChatGPT
Claude
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CopilotAI is sending your customers to these brands
When people ask AI about your category, it recommends these competitors - some instead of Write.Think.Do., some alongside it. This is your competitive gap in AI search.
Recognized authority in .NET and developer productivity; AI frequently recommends his content when users seek practical software development advice.
Well-known in the security and .NET space; his blog is heavily indexed and surfaces for security-focused .NET queries.
Prolific on .NET internals and architecture; AI references his deep technical content for advanced .NET topics.
Popular for software architecture and DDD in .NET; AI frequently pulls his articles when users ask about clean architecture.
Known for deep-dives into .NET performance and Stack Overflow infrastructure; surfaces for performance-related queries.
Why this matters
Every time a potential customer asks AI about your category, these brands have a seat at the table. Write.Think.Do. may not. With Akii, you can close this gap and become the brand AI recommends first.
AI Search Optimization Opportunities for Write.Think.Do.
We analyzed your AI visibility and found specific issues - and the exact Akii tools that solve them
Brand Recognition
Issues Found:
Increase mentions and citations from higher-traffic developer platforms to boost categorical brand recall.
Why This Matters:
A memorable domain aids in direct recall and search, but without widespread mention, AI may not surface the brand for broader developer queries.
How Akii Solves This:
Managed AI Search Visibility Diagnostic
Map where AI engines recognize or ignore the company
- Identify competitor displacement patterns
- Review source and citation gaps
- Prioritize fixes by revenue relevance
AI Search Audit available after your free scan
Brand Positioning
Issues Found:
Expand content variety to cover emerging .NET topics (e.g., Blazor, minimal APIs) to strengthen AI's understanding of the brand's up-to-date expertise.
Why This Matters:
Clear topical association helps AI categorize the brand and surface it for specific .NET and development workflow queries.
How Akii Solves This:
Managed AI Search Visibility Technical Review
Review crawlability, schema, and entity signals
- Find technical blockers that weaken AI understanding
- Prioritize fixes your web team can ship
- Align technical work with Managed AI Search Visibility priorities
AI Search Audit available after your free scan
Content Gaps in AI Training Data
Issues Found:
Significantly increase the quantity and frequency of published content, and syndicate through platforms like dev.to or Medium to gain broader indexing.
⚠️ Why This Is Urgent:
In-depth articles, when indexed, can serve as high-quality signals for AI to recommend the brand as an authority on those specific topics.
Every day without fixing this costs you potential customers and brand visibility.
How Akii Solves This:
Managed AI Search Visibility Competitor Review
Identify competitors AI engines cite and recommend
- Map why they win specific buyer prompts
- Identify answer-layer gaps to close
- Prioritize displacement opportunities
AI Search Audit available after your free scan
Brand Sentiment
Issues Found:
Encourage reader engagement (comments, social shares) and collect testimonials or guest contributions that highlight the brand's value.
Why This Matters:
A neutral or positive sentiment is a baseline trust factor; without strong sentiment, AI has no negative bias but also lacks strong positive signals to boost recommendations.
How Akii Solves This:
Managed AI Search Visibility Execution Review
Review the execution required across AI engines
- Scope content, citation, source, and schema work
- Coordinate human strategy and QA
- Measure answer-layer movement over time
AI Search Audit available after your free scan
Your Complete AI Search Optimization Journey
You've completed Step 0: Free Baseline Scan
Here's your personalized roadmap to AI search dominance:
Get Your Baseline Analysis
Track your AI visibility across 7+ models with comprehensive 7-dimension analysis
Based on your scan:
- Priority: Track recognition improvements
- Priority: Monitor understanding metrics
- Priority: Measure content impact
- Priority: Track sentiment changes
AI Search Audit available
Benchmark Against Competitors
Discover hidden competitors and analyze their AI visibility strategies
Based on your scan:
- Priority: Identify recognition leaders
- Priority: Analyze content strategies
AI Search Audit available
Optimize Technical Foundation
Fix technical issues and optimize your website for AI discoverability
Based on your scan:
- Priority: Fix technical blockers
- Priority: Optimize content structure
AI Search Audit available
Actively Train AI Models
Engage AI models with authentic brand interactions to improve recommendations
Based on your scan:
- Priority: Improve sentiment signals
- Priority: Increase brand mentions
AI Search Audit available
Pro Tip
Following this order maximizes ROI and ensures sustained AI visibility growth. Each step builds on the previous one to create a comprehensive optimization strategy.
Unlock Paid Intelligence for Write.Think.Do.
Based on your scan, here's what a AI Search Audit can investigate:
Managed AI Search Visibility Gap Review
Your scan analyzed the baseline. A AI Search Audit investigates the execution gaps behind it:
- Technical and source coverage factors
- Topic, market, and UAE relevance
- Priority-ranked fixes for the answer layer
Competitive & Source Gap Review
Your Score: 40/100 • Verified peer benchmark scoped during audit
- Score gap to review: 60 points
- See which 3-5 competitors outrank you
- Exactly what they are doing differently
- Step-by-step plan to close the gap
Founder-Led Prioritization
Turn scan output into a scoped plan:
- Executive summary for leadership
- Technical details for your web team
- Content and citation gaps for marketing
- Human QA before execution is recommended
No checkout links. Scope is reviewed with Josef before an engagement starts.
Bring your website, category, and the competitors you keep seeing in AI answers.
Turn Your Score Into AI Search Optimization & Reputation Defense
The free score is the baseline. The audit shows what AI engines say, which sources drive it, and which technical or trust-signal fixes matter first.
AI Characterization
See how AI engines describe your brand to buyers, including weak context, outdated claims, and trust gaps.
Source Attribution
Trace which reviews, articles, directories, profiles, and citations shape the answer layer.
Trust-Signal Fixes
Prioritize schema, content, structured data, and citation work that helps AI systems represent the brand accurately.
Book an AI Search Audit
Bring your score, website, and the competitors you keep seeing in AI answers.
Akii will review visibility gaps, reputation signals, and the fixes that should move first.
Frequently Asked Questions
Everything you need to know about AI visibility optimization
Still have questions?
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Write.Think.Do. AI Visibility Score: 40/100 (Moderate)
See how Write.Think.Do. performs across major AI models like ChatGPT, Claude, and Gemini. Get your free AI Visibility Score at Akii
