Challenges
Traditional marketing strategies are facing a traffic crisis as users migrate from search engines (Google, Bing) to personalized AI models. Brands are encountering several critical pain points:
- Loss of Organic Traffic: Traditional SEO success no longer guarantees visibility in AI-generated summaries.
- Algorithm Disadvantage: Smaller or less content-heavy brands may inadvertently be recommended over established ones due to specific LLM data synthesis patterns.
- Lack of Control: Brands previously had no way to monitor if LLMs prioritized them in summaries or if they were losing potential customers to competitors within AI chats.
Scope Of Work
Relia Software built a comprehensive web application that automates brand intelligence gathering and visibility tracking. Core features:
Intelligent Onboarding: A web crawler reads a brand’s website metadata and content to automatically build a "Brand Data Profile," eliminating manual entry.
GEO Keywords & Prompts: Suggests high-traffic keywords and prompts categorized by user intent: Informative, Consideration, and Transactional.
Visibility Tracking Dashboard:
- Brand Mentions & Position: Tracks how often and in what rank (e.g., first vs. third) a brand appears in AI responses.
- Citation Analysis: Identifies the sources (articles, blogs, social media) LLMs use to synthesize information about the brand.
- Brand Variations: Automatically recognizes nicknames or shorthand for the brand (e.g., "Relia" for "Relia Software") to ensure accurate tracking.
Website Optimization for AI:
- Index Scan & Scraper Analysis: Checks if a website is "friendly" to AI crawlers and tracks how often LLM bots visit the site.
- Competitive Scoring: Rates a website from 0-100 on "AI Readability" and provides actionable recommendations for improvement.
- LLMs.txt Generator: Creates specialized summary files to guide LLMs to the most important content on a website.
AI-Driven Content Creation:
- Outline Refinement: Generates article outlines optimized for AI agents to crawl and understand.
- Content Generation: Produces high-authority, 1,000–3,000 word articles based on refined outlines and desired brand tone.
Solution
|
Layer |
Technologies |
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Frontend |
Next.JS, React, TypeScript, Tailwind CSS 4, Chakra UI 3 |
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Backend |
Node.js, Docker, TypeORM |
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Database |
PostgreSQL, Redis, AWS S3 |
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Third-Party APIs |
OpenAI, Perplexity, ScrapingDog, Google GenAI, Groq, Playwright |
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Infrastructure |
Self-hosted server |
Results & Impact
Successful Launch: Built a fully functional SaaS application from scratch in under a year.
Comprehensive Monitoring: Delivered a multi-model tracking system that filters data by intent, time, and specific competitor brands.
Actionable Insights: Established a scoring system that quantifies a brand's competitiveness in the AI era.
