أدوات مجانية لبناء
منصة الـ GEO الخاصة بك

# Check if your brand appears in Perplexity AI answers
# pip install requests

import requests, json

def check_ai_visibility(brand_name, queries):
    headers = {
        "Authorization": f"Bearer YOUR_PERPLEXITY_KEY",
        "Content-Type": "application/json"
    }
    results = []
    for query in queries:
        response = requests.post(
            "https://api.perplexity.ai/chat/completions",
            headers=headers,
            json={
                "model": "sonar",
                "messages": [{"role":"user", "content":query}]
            }
        )
        answer = response.json()["choices"][0]["message"]["content"]
        mentioned = brand_name.lower() in answer.lower()
        results.append({"query": query, "mentioned": mentioned, "answer": answer})
    
    score = sum(1 for r in results if r["mentioned"]) / len(results) * 100
    return {"brand": brand_name, "visibility_score": score, "details": results}

# Generate AI-optimized schema markup for any page
# pip install beautifulsoup4 requests

from bs4 import BeautifulSoup
import requests, json

def generate_schema(url, org_name, org_url):
    soup = BeautifulSoup(requests.get(url).text, "html.parser")
    faqs = []
    for h3 in soup.find_all("h3"):
        answer = h3.find_next_sibling("p")
        if answer:
            faqs.append({
                "@type": "Question",
                "name": h3.get_text(strip=True),
                "acceptedAnswer": { "@type": "Answer", "text": answer.get_text(strip=True) }
            })
    
    schema = {
        "@context": "https://schema.org",
        "@graph": [
            { "@type": "Organization", "name": org_name, "url": org_url },
            { "@type": "FAQPage", "mainEntity": faqs }
        ]
    }
    return f'<script type="application/ld+json">\n{json.dumps(schema, indent=2, ensure_ascii=False)}\n</script>'

User-agent: GPTBot
Allow: /

User-agent: Google-Extended
Allow: /

User-agent: PerplexityBot
Allow: /

User-agent: ClaudeBot
Allow: /