AI-Driven SEO Optimizer for Real Estate
Budget: $250 – $750 USD
# AI SEO Content Analysis Agent for a Real Estate Website
## Project Overview
We are a leading real estate classifieds website in the UAE (similar to Property Finder and Bayut) and are looking for an experienced AI/LLM engineer to build an intelligent SEO analysis agent.
The goal is to improve our rankings for high-value area guide keywords such as:
* Dubai Marina
* Downtown Dubai
* Jumeirah Village Circle (JVC)
* Business Bay
* Palm Jumeirah
* Abu Dhabi communities
* Other UAE area guide keywords
The agent should automatically compare our area guide pages against competitors, identify content gaps, and generate actionable recommendations to improve our organic search performance.
This is **not** a simple web scraping project. We're looking for someone with experience building AI agents using LLMs for content analysis, competitive intelligence, and SEO.
## Scope
### 1. Crawl and Extract Content
The agent should:
* Scrape our area guide pages
* Scrape equivalent competitor pages (starting with Bayut)
* Extract:
* Main content
* Heading structure (H1–H6)
* Images and alt text
* Internal links
* Tables
* FAQs
* Lists
* Structured data (if available)
* Metadata (title, meta description)
### 2. AI Content Analysis
Using an LLM, compare both pages and identify:
* Missing topics and subtopics
* Missing sections
* Weak or shallow content
* Content freshness opportunities
* Missing FAQs
* Internal linking opportunities
* Missing entities and semantic coverage
* Readability improvements
* EEAT improvement opportunities
* Search intent gaps
* Competitor strengths
* Opportunities to improve topical authority
### 3. SEO Evaluation
Assess both pages across factors including:
* Heading structure
* Keyword coverage
* Entity coverage
* Topical completeness
* Internal linking
* Metadata quality
* Schema markup
* Image optimization
* Content depth
* Overall competitiveness
### 4. Actionable Recommendations
For every page, generate prioritized recommendations such as:
* New sections to add
* Existing sections to improve or rewrite
* Questions to answer
* Missing facts or data points
* Missing entities, landmarks, schools, transport, etc.
* Internal links to add
* Suggested content outline
* Priority (High / Medium / Low)
* Estimated SEO impact
### 5. Reporting
Generate a structured report (Markdown or JSON) containing:
* Executive summary
* Competitor strengths
* Our content weaknesses
* Prioritized recommendations
* Suggested content outline
* Overall SEO score for both pages
## Technical Requirements
Preferred technologies:
* Python
* Playwright or Selenium
* BeautifulSoup
* OpenAI, Claude, or Gemini APIs
* LangGraph, LangChain, CrewAI, or similar AI agent frameworks (optional)
## Nice to Have
* Strong understanding of SEO and content optimization
* Experience building AI agents or automated research tools
* Experience with semantic SEO and topical authority
* Previous work in real estate or marketplace websites
## When Applying
Please include:
* Examples of AI agents or LLM applications you've built
* GitHub or portfolio
* Examples of web scraping or content analysis projects
* Any SEO-related experience
* Your proposed technical approach
* Estimated timeline and budget
We are looking for someone who has experience building production-ready AI agents capable of performing high-quality competitive content analysis and generating actionable SEO recommendations, rather than simple scraping scripts.
## Project Overview
We are a leading real estate classifieds website in the UAE (similar to Property Finder and Bayut) and are looking for an experienced AI/LLM engineer to build an intelligent SEO analysis agent.
The goal is to improve our rankings for high-value area guide keywords such as:
* Dubai Marina
* Downtown Dubai
* Jumeirah Village Circle (JVC)
* Business Bay
* Palm Jumeirah
* Abu Dhabi communities
* Other UAE area guide keywords
The agent should automatically compare our area guide pages against competitors, identify content gaps, and generate actionable recommendations to improve our organic search performance.
This is **not** a simple web scraping project. We're looking for someone with experience building AI agents using LLMs for content analysis, competitive intelligence, and SEO.
## Scope
### 1. Crawl and Extract Content
The agent should:
* Scrape our area guide pages
* Scrape equivalent competitor pages (starting with Bayut)
* Extract:
* Main content
* Heading structure (H1–H6)
* Images and alt text
* Internal links
* Tables
* FAQs
* Lists
* Structured data (if available)
* Metadata (title, meta description)
### 2. AI Content Analysis
Using an LLM, compare both pages and identify:
* Missing topics and subtopics
* Missing sections
* Weak or shallow content
* Content freshness opportunities
* Missing FAQs
* Internal linking opportunities
* Missing entities and semantic coverage
* Readability improvements
* EEAT improvement opportunities
* Search intent gaps
* Competitor strengths
* Opportunities to improve topical authority
### 3. SEO Evaluation
Assess both pages across factors including:
* Heading structure
* Keyword coverage
* Entity coverage
* Topical completeness
* Internal linking
* Metadata quality
* Schema markup
* Image optimization
* Content depth
* Overall competitiveness
### 4. Actionable Recommendations
For every page, generate prioritized recommendations such as:
* New sections to add
* Existing sections to improve or rewrite
* Questions to answer
* Missing facts or data points
* Missing entities, landmarks, schools, transport, etc.
* Internal links to add
* Suggested content outline
* Priority (High / Medium / Low)
* Estimated SEO impact
### 5. Reporting
Generate a structured report (Markdown or JSON) containing:
* Executive summary
* Competitor strengths
* Our content weaknesses
* Prioritized recommendations
* Suggested content outline
* Overall SEO score for both pages
## Technical Requirements
Preferred technologies:
* Python
* Playwright or Selenium
* BeautifulSoup
* OpenAI, Claude, or Gemini APIs
* LangGraph, LangChain, CrewAI, or similar AI agent frameworks (optional)
## Nice to Have
* Strong understanding of SEO and content optimization
* Experience building AI agents or automated research tools
* Experience with semantic SEO and topical authority
* Previous work in real estate or marketplace websites
## When Applying
Please include:
* Examples of AI agents or LLM applications you've built
* GitHub or portfolio
* Examples of web scraping or content analysis projects
* Any SEO-related experience
* Your proposed technical approach
* Estimated timeline and budget
We are looking for someone who has experience building production-ready AI agents capable of performing high-quality competitive content analysis and generating actionable SEO recommendations, rather than simple scraping scripts.
Related categories:
Python
Internet Marketing
SEO
Link Building
Marketing
Web Scraping
AI Content Creation
AI Development