Query Fan Out for Semantic SEO скачать в хорошем качестве

Query Fan Out for Semantic SEO

Experimenting with google query fan out and gemini API. You can run the code yourself, you will need the gemini api key. Code: from google import genai from google.genai import types import key from collections import Counter client = genai.Client( api_key=key.gemini_key ) def check_query_fanout(user_prompt): fanout_queries = [] try: response = client.models.generate_content( model="models/gemini-flash-latest", # gemini-3-flash-preview contents=user_prompt, config=types.GenerateContentConfig( tools=[types.Tool( google_search=types.GoogleSearch() )], response_modalities=["TEXT"] ) ) if response.candidates and response.candidates[0].grounding_metadata: metadata = response.candidates[0].grounding_metadata if metadata.web_search_queries: for query in metadata.web_search_queries: fanout_queries.append(query) except Exception as e: print(f"An error occurred: {e}") return fanout_queries prompt = "find me the best glasses for marathons" queries = check_query_fanout(prompt) for q in queries: print(f" - {q}") all_fanout_queries = [] for i in range(20): queries = check_query_fanout(prompt) print(f"
Run {i+1}:") for q in queries: print(f" - {q}") all_fanout_queries.extend(q.lower().strip() for q in queries) print("
===== FINAL FAN-OUT REPETITION ANALYSIS =====") query_counts = Counter(all_fanout_queries) for query, count in query_counts.most_common(): if count REPLACE_WITH_MORE_THAN_CHARACTER 1: print(f"{query} → {count} times")