AI agent that generates blog topic ideas based on keywords, trends, and SEO opportunity analysis.
import requests, json, pandas as pd
def fetch_trends(keywords):
resp = requests.get("https://api.google.com/trends", params={"q": keywords})
return resp.json().get("data", [])
def generate_topics(trends):
topics = []
for t in trends:
topics.append({
"keyword": t["keyword"],
"volume": t["search_volume"],
"idea_type": categorize(t["related_queries"])
})
return topics
def categorize(queries):
if len(queries) > 10: return "Series"
if "how to" in queries: return "How-to"
if "best" in queries: return "Listicle"
return "Case study"
keywords = ["ai compliance", "erp integration", "llm security", "neuralops demo"]
topics = generate_topics(fetch_trends(keywords))
print(json.dumps(topics, indent=2))
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