The Challenge
AI-powered search engines — ChatGPT, Perplexity, Claude, Gemini — are fundamentally changing how people discover businesses online. Instead of scrolling through ten blue links, users ask questions and get direct answers with citations.
The problem: most websites are invisible to these AI models.
Traditional SEO focuses on keywords, backlinks, and meta tags. But AI search engines evaluate content differently — they need semantic clarity, structured data, and machine-readable formats that most websites simply don't have.
The client saw a massive market gap: businesses were spending thousands on traditional SEO while getting zero visibility in the AI search results that are rapidly replacing Google for many queries. There was no tool on the market that could:
- Measure how well AI models understand a website
- Identify the specific technical and content issues blocking AI citations
- Automatically generate the files AI models need to discover and cite a site
The Solution
I built Get Visible To AI — a full-stack SaaS platform that bridges the gap between traditional web presence and AI discoverability.
How It Works
1. AI Readiness Assessment Users enter their website URL and receive a comprehensive 0-100 score evaluating how well AI language models can understand and cite their content. The analysis covers semantic HTML structure, content readability, Schema.org markup, and citation likelihood.
2. Visibility Gap Analysis The platform identifies "Citation Blockers" — specific technical and content issues preventing AI systems from recognizing a site as an authoritative source. Each blocker comes with a priority level and actionable fix.
3. Automated File Generation With one click, the platform generates AI-friendly files that dramatically improve discoverability:
- llms.txt — A structured file that tells AI models what the site is about, its key pages, and how to cite it
- schema.json — Properly structured Schema.org markup for rich AI understanding
- Optimized sitemap.xml — Enhanced sitemap designed for AI crawler consumption
4. Prioritized Recommendations Beyond automated fixes, the platform provides a ranked list of improvements — from quick wins (adding missing alt text) to strategic changes (restructuring content for better semantic clarity).
Technical Architecture
- Frontend: Next.js with TypeScript and Tailwind CSS for a fast, responsive interface
- Analysis Engine: Custom crawling and parsing pipeline that evaluates pages against AI readability heuristics
- AI Integration: OpenAI models for content quality assessment and file generation
- Payments: Stripe integration with three subscription tiers (Free, Pro, Max)
- Hosting: Deployed on Vercel with edge functions for fast global analysis
Business Impact
The platform launched with a clear 3-tier pricing model — Free (5 analyses/month), Pro ($9/month with unlimited analyses), and Max ($18/month with content generation tools) — validating demand for AI SEO tooling.
Key Outcomes:
- Fully functional SaaS delivered in approximately 2 months from concept to launch
- Scalable architecture supporting concurrent website analyses with real-time scoring
- Monetization-ready with Stripe-powered subscriptions and usage tracking
- Differentiated positioning in an emerging market with no established competitors
Key Learnings
1. AI Search Is a Moving Target AI models evolve rapidly, so the scoring criteria need to be updatable without redeploying the platform. I built the analysis rules as a configurable layer, making it easy to adjust weights and add new checks as AI search behavior changes.
2. Users Need Actionable Outputs, Not Just Scores Early feedback showed that a score alone wasn't enough — users needed to know exactly what to fix and in what order. The prioritized recommendations and auto-generated files became the most valued features.
3. llms.txt Is Becoming a Standard The llms.txt file format is gaining traction as a way for websites to communicate with AI models. Building generation support early positioned the platform ahead of competitors.
See It Live
Live Platform: getvisibletoai.com
Try analyzing your own website to see how it scores for AI search visibility. The free tier gives you 5 analyses per month to evaluate your AI readiness and identify quick wins.
Try it:
- Enter your website URL for an AI readiness score
- Review citation blockers and prioritized recommendations
- Generate llms.txt, schema.json, and optimized sitemap with one click
- Compare before/after scores as you implement improvements