How to use ChatGPT for SEO keyword research
Blog post from Firecrawl
Firecrawl’s ChatGPT plugin is presented as a tool for live SEO keyword research that combines Google Trends-style search-interest data, Similarweb traffic metrics, web search, and page scraping within a single conversation. It can identify related and rising queries, compare interest over time and by region, distinguish topic meanings, surface current trending searches, estimate competitor traffic and channel shares, and scrape ranking pages to examine headings, length, and content format. The material positions the service for content marketers, SEO teams, and founders evaluating topics, phrasing, seasonality, competitors, or niches, while emphasizing that ChatGPT alone may invent volume data, miss recent trends, lack seasonality insight, and not reveal current search results. It provides example prompts and explains a credit-based pricing structure, with Trends queries and scraping relatively inexpensive, Similarweb metrics more costly, and topic suggestions free. It also notes important limits: Trends scores are relative rather than monthly search volumes, low-volume searches may yield no results, and users must assess ranking difficulty by reviewing scraped competitors rather than relying on a provided difficulty score.
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