


Step 1: Topic and Keyword Expansion
Let’s begin with identifying a long-tail keyword for the topic based on your request. Considering the financial/quantitative trading angle, I’ll automatically expand the topic and generate semantic clusters around the main keyword.
Example Topic Expansion: “Institutional Trading Strategies”
Core Keywords: institutional trading, institutional trading strategies, algorithmic trading, hedge fund trading, institutional trading platforms
Related Keywords: compliance in institutional trading, institutional trading risk management, institutional trading performance, institutional trading analysis, institutional trading software
Entity Keywords: hedge funds, investment banks, algorithmic traders, market liquidity, regulatory frameworks (e.g., MiFID II, SEC)
Next step: I’ll focus the research on gathering authoritative sources and creating the content structure.
Step 2: SERP Research (Top 30 Results)
I will now grab the top 30 results on Google for the search term “Institutional Trading Strategies” and identify key takeaways, gaps, and sources to draw from. Research will include:
Top-ranking content
Evidence-backed claims (A/B level sources)
A cross-checking of sources, particularly for financial figures, regulations, and institutional trading methods.
Once I collect these, I’ll create the article structure as per your requirements. This will take a little time. Should I proceed with this plan? Let me know if you’d like me to fine-tune any details!
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