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muhammad zain
muhammad zain

Posted on • Originally published at empirexsolution.com

How We Built an Autonomous SEO Agent in Pakistan That Runs Every Morning at 9 AM

#ai #seo #python #automation

Building an autonomous SEO agent was one of the more interesting engineering challenges we tackled at EmpireX Software Solutions.

The problem: manually auditing a website's SEO health daily is tedious. We wanted something that just runs — no human needed.

What the Agent Does Every Morning

At 9:00 AM Pakistan time, the agent automatically:

  1. Technical SEO Audit — checks HTTPS, robots.txt, sitemap.xml, meta tags, OG tags, schema markup, canonical tags, H1 presence, and security headers
  2. Google Search Console pull — fetches clicks, impressions, CTR, and keyword positions for the last 7 days
  3. AEO Audit — checks for FAQ schema, HowTo schema, Q&A content (needed for ChatGPT/Perplexity citations)
  4. GEO Audit — evaluates brand mention signals and AI engine indexing readiness
  5. Score calculation — produces a master SEO score out of 100
  6. Email report — sends a formatted daily digest automatically

Tech Stack 

import httpx
from bs4 import BeautifulSoup

def audit_technical_seo(url):
    response = httpx.get(url, follow_redirects=True, timeout=15)
    soup = BeautifulSoup(response.text, 'html.parser')

    return {
        "https": url.startswith("https"),
        "title": bool(soup.find("title")),
        "meta_description": bool(soup.find("meta", {"name": "description"})),
        "h1": bool(soup.find("h1")),
        "canonical": bool(soup.find("link", {"rel": "canonical"})),
        "og_tags": bool(soup.find("meta", {"property": "og:title"})),
        "schema": bool(soup.find("script", {"type": "application/ld+json"}))
    }
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The AEO Layer — Most Important in 2026

AEO (Answer Engine Optimization) is about making your content citable by AI systems like ChatGPT, Perplexity, and Google AI Overviews. We check for:

  • FAQPage schema — the single most important signal for Google AI Overviews
  • HowTo schema — triggers rich results and AI citations
  • Direct answer patterns — 40-60 word answers at the top of pages
  • Person schema — establishes E-E-A-T for AI engine trust

The GEO Layer — Getting Cited by AI Engines

GEO (Generative Engine Optimization) is newer still — it's about ensuring AI engines like ChatGPT, Gemini, and Perplexity know your brand exists and cite it when users ask relevant questions.

Key signals we track:

  • Bing indexing (Perplexity uses Bing's index)
  • Wikidata entity existence
  • llms.txt file presence
  • Brand mentions across authoritative domains
  • Structured data richness

Scoring System 

def calculate_seo_score(audit_results):
    score = 0
    weights = {
        'https': 10,
        'title': 8,
        'meta_description': 8,
        'h1': 7,
        'schema': 10,
        'sitemap': 8,
        'robots': 5,
        'canonical': 7,
        'og_tags': 5,
        'faq_schema': 10,  # AEO
        'security_headers': 5,
        'gsc_verified': 10,  # GSC data available
        'backlinks': 7
    }
    for key, weight in weights.items():
        if audit_results.get(key):
            score += weight
    return min(score, 100)
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Results

Starting score: 32/100 (no schema, no sitemap, no GSC)
After deploying robots.txt + sitemap + full schema: 55+/100
After GSC verification + 30 backlinks: projected 70+/100

Key Takeaway

The biggest SEO win in 2026 isn't traditional keyword stuffing — it's making your site readable and citable by AI engines. FAQ schema, direct answers, and structured data are now as important as backlinks.

This system runs fully autonomously for EmpireX Software Solutions — a Pakistan-based AI development company. Happy to share the full script in the comments.

Built by EmpireX Software Solutions — Pakistan's AI-first software development company. empirexsolution.com

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