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Supercharging ChatGPT SEO Results

Ruan Marinho • Jan 04, 2024

Key Takeaways

Utilizing SEMRush data via ChatGPT ensures content is based on accurate, high-traffic keywords, enhancing SEO effectiveness.

Real-time keyword data from SEMRush enables the creation of timely and relevant content that aligns with user search intent.

The integration of ChatGPT with SEMRush's API offers a strategic advantage in developing informed, data-driven content strategies.

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
Written By:

Ruan Marinho

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integrate popular seo tools

a phrase questions report provides a list of phrase questions relevant to a quoted term in the us .

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

a screenshot of a text message that says

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

a screenshot of a page that says

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

a screenshot of a web page that says we make additional calls to find other keywords that are related to generate a full article

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

using the recommended approach of role , context , and task we can get a high quality outcome .

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.

  • Keyword Explanation #1

    "What is the metaverse?" has a search volume of 12,100, signifying a strong interest in understanding the basic concept of Metaverse.


    "Is the metaverse dead?" with a search volume of 720, reflects a growing debate and curiosity, indicating a topic that can generate engagement and discussion.

  • Keyword Explanation #2

    "What is an NFT?" (Search Volume: 27,100) and "What does NFT mean?" (Search Volume: 4,400) indicate a high level of public interest and a need for clear, informative content on NFTs.


    "How to make an NFT?" (Search Volume: 1,900), highlights the practical interest in NFT creation, suggesting a demand for content that guides readers through the process.

  • Keyword Explanation #3

    "What is blockchain?" with a substantial search volume of 18,100, is an essential keyword, underlining the demand for foundational knowledge about blockchain.


    "How does blockchain work?" (Search Volume: 1,300), reflects a deeper inquiry into the technology, appealing to a more technically inclined audience.

  • Article Explanation

    The selection of these keywords is strategically based on their high search volumes and relevance to current trends. This ensures that the article not only attracts significant traffic but also meets the information-seeking behavior of readers interested in Metaverse, NFTs, and Blockchain. By targeting these keywords, the article is positioned to improve in search rankings, drive engagement, and establish authority in Web 3.0 topics.

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