Supercharging ChatGPT SEO Results
Key Takeaways
generate better seo results with chatgpt
In the dynamic world of SEO, the integration of SEMRush's robust database with ChatGPT's AI-driven insights is revolutionizing how we approach keyword research and content optimization. At Develomark, we're harnessing this powerful combination to not just follow but lead in the digital marketing landscape. This article will explore the innovative ways in which ChatGPT can utilize SEMRush data to refine keyword strategies and provide you with actionable, conversation-driven analytics, marking a new era of search engine optimization.
You'll learn:
- How to utilize SEMRush within ChatGPT
- How to get accurate keyword data within ChatGPT
- How to create highly effective content using this strategy
integrate popular seo tools

This image shows a MyGPT used to combine ChatGPT with the SEMRush API to provide users with a list of phrase questions related to specific search terms for SEO enhancement. The use case implies that users can interact with ChatGPT to get insights on related keywords from SEMRush's database, which can be a valuable tool for digital marketers looking to optimize content for search engines.
search your ideal term

In this case we send a prompt from the AI to SEMRush, requesting to scan for keywords related to a given term, such as "Metaverse." This is done through an API call, where the AI sends a structured request containing the keyword and the type of data needed. For instance, the AI would include the API key, type of query ('phrase_questions'), the phrase itself ('metaverse'), and the targeted database ('us').
get relevant data of that term

This setup allows ChatGPT to query SEMRush and return with a custom dataset that includes key metrics such as search volume, cost-per-click (CPC), and competition level for terms like "metaverse." The process effectively eliminates the guesswork from keyword research, providing you with precise data to identify optimal keywords for your SEO campaigns.
find additional terms

We take the capabilities further by making additional calls to SEMRush. These calls retrieve a broader set of related keywords, thus enriching the context for the AI model.
For instance, after querying SEMRush for "metaverse," we can expand our keyword set by making subsequent API requests for related terms like "NFT" and "blockchain". By providing these inputs
we're able to feed the AI model a richer context from traditional ChatGPT capabilites.
improve your "context" window

Incorporating SEMRush's real-world data into ChatGPT's responses ensures that our content is grounded in factual, high-quality data points, steering clear of uninformed speculations or hallucinations. By utilizing the contextual information provided by SEMRush, such as search volumes and competition metrics for trending terms like "blockchain," "NFT," and "metaverse," we can craft articles that not only resonate with current market trends but also address the specific interests and queries of our audience.
explain the results with reasoning
After receiving your article, a simple prompt asking the AI to explain its choices now presents itself with real world data collected from SEMRush - compared to potential guesses from ChatGPT's standard model.
develop an ai strategy
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