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Build an AI SEO Agent: Automated Website Auditing with Python

How to build an AI-powered SEO agent that audits websites, identifies issues, and recommends fixes using Python and the SEO Score API.

AI agents are transforming SEO workflows. Instead of manually running audits, an AI agent can crawl your site, identify issues, prioritize fixes, and generate recommendations — all autonomously.

The Architecture

Our AI SEO agent uses three components:

Step 1: Install

pip install seoscoreapi openai

Step 2: Build the Agent

from seoscoreapi import audit, signup

# Get your free API key
api_key = signup("agent@yourdomain.com")

# Audit the target site
result = audit("https://example.com", api_key=api_key)

print(f"Score: {result['score']}/100 ({result['grade']})")
for p in result["priorities"]:
    print(f"  [{p['severity']}] {p['issue']}")

Step 3: Add LLM Analysis

Feed the structured audit data to an LLM for recommendations:

import openai

prompt = f"""Analyze this SEO audit and provide 3 actionable recommendations:
Score: {result['score']}/100 ({result['grade']})
Issues: {result['priorities']}"""

response = openai.chat.completions.create(
    model="gpt-4",
    messages=[{"role": "user", "content": prompt}]
)
print(response.choices[0].message.content)

Step 4: Scale with Batch

Audit an entire site with the batch endpoint:

from seoscoreapi import batch_audit

urls = [
    "https://example.com",
    "https://example.com/about",
    "https://example.com/pricing",
    "https://example.com/blog",
]
results = batch_audit(urls, api_key=api_key)

Use Cases

Get Started

The free tier gives you 5 audits/day to build and test your agent. For production workloads, paid plans start at $5/mo.

Try SEO Score API free

Get Free API Key