Ready-made SEO prompts for using DataForSEO APIs in AI Agents

What are alternative or comparison ("vs", "alternative", "best", "compare") search queries people use for [product/brand]? Return 20 ideas with high search volume.

Provide a 20-term keyword cluster around [seed keyword]. Group them by intent (informational, commercial, transactional) and list keyword difficulty and SERP features.

Show me 20 question-based keywords (what, why, how) for [topic] with search volume ≥ 300. Include search intent and suggest article headlines that match the query tone.

Find 20 commercial and transactional keywords related to [product/service]. Filter by CPC ≥ $2 and search volume ≥ 1,000. Suggest landing page angles based on intent.

Give me 20 informational keywords around [topic] with low competition and moderate search volume (≥500). Group them by intent and suggest blog topics for each.

For these keywords [5 keywords], use the related_keywords endpoint to find related terms in the United States, language: en. Filter by search volume ≥ 500 and CPC ≥ 0.5. Return the top 20 results sorted by search volume and include search intent.

For these core keywords ["budget travel", "vegan recipes", "crypto investing"], retrieve user demographics (age and gender) using the demography endpoint. Combine with volume, CPC, intent, and KD from keyword_overview. Return user profile segments that are most engaged per keyword and suggest persona-driven content ideas.

Identify the top 10 highest-authority backlinks to [domain.com], grouped by referring domain. Include backlink type, anchor text, and target page.

Show me which blog posts on [domain.com] attract the most backlinks. List the top 5 by backlink count, and include title, referring domains, and anchor types.

Which websites link to my competitors but not to [mydomain.com]? Use [competitor1.com] and [competitor2.com]. Return 15 domains I should target for outreach.

Find internal pages on Identify all referring domains with a spam score greater than 10 and fewer than 2 referring main domains. Flag any domains that have a suspicious number of backlinks per page. that have over [30] backlinks but are 404 or redirected. Return URL, status code, backlink count, and top referring domains.

Compare backlinks between [mydomain.com] and competitor [competitor1.com]. Show 10 domains linking only to the competitor domain. Include domain authority and link count.

Identify all referring domains to [mydomain.com] with a spam score greater than 10 and fewer than 2 referring main domains. Flag any domains that have a suspicious number of backlinks per page.

Show the top 5 referring domains to this competitor site [competitor.com], ranked by domain rank. Include their total backlinks and referring pages to compare link strength.

Audit page [https://domain.com/page] for crawlability issues, including robots.txt restrictions, noindex tags, and broken internal links. Highlight what’s preventing Google from indexing or ranking this page.

Review page [https://domain.com/page] to check for missing or duplicate meta title and meta description tags, use validate_micromarkup, enable_javascript, and enable_browser_rendering. Let me know if the tags are too long, too short, or missing, and how to fix them.

Analyze page [https://domain.com/page] for speed and mobile usability. Use load_resources, enable_javascript, and enable_browser_rendering. Tell me what’s slowing it down or making it hard to use on mobile, include the measurements, and give practical steps to improve performance.

Check how well [https://domain.com/page] is connected internally. Use load_resources, enable_javascript, and enable_browser_rendering. Tell me if it’s buried too deep in the site structure or lacks internal links that could help search engines find and rank it. Include the data for each issue or metric.

Evaluate [https://searchengineland.com/seo-vs-geo-459474] for how well it’s optimized for the keyword '[SEO vs. GEO]'. Analyze on-page SEO elements like title, meta description, headings (H1-H6), internal links, and keyword usage, extract and parse all content elements (headings, paragraphs, alt attributes, etc.), and check for keyword placement and semantic relevance. Identify missing keyword placements and content gaps that could affect its relevance and ranking.

Scan [URL] for duplicate meta tags, deprecated tags, or missing elements such as title, description, or image alt text. Identify if any technical SEO best practices are violated.

Evaluate the readability and content structure of [URL]. List the word count, text size, and all readability scores. Identify whether the content has a low text-to-code ratio or readability problems.

Using google_historical_rank_overview in DataForSEO Labs API, show how the visibility and SERP position distribution of [domain.com] changed in [location] in [language] over the past 12 months. Focus on the top 3, top 10, and top 100 rankings, and highlight any traffic peaks.

Compare the monthly organic traffic trends and ranking distribution of [domain.com] vs [competitor.com] in [location] in [language] using google_domain_rank_overview. Highlight who has better top 10 visibility and estimated traffic this month.

Use the serp_organic_live_advanced API to fetch the top 10 results and SERP features for the keyword [keyword] in [language] for two locations with two separate API requests: [location1], then in [location2]. Display a unified table of the top 10 results for both locations side-by-side, with columns: Rank, Domain, Title, Snippet (shorten), URL, and Element Type (e.g., Organic, Knowledge Graph, Featured Snippet, etc.).

Using the real-time SERP API, check if [domain.com] currently ranks in the top 3 organic results or SERP features like featured snippet or knowledge graph for the branded keyword [keyword] in [location] in [language]. Indicate what competitors are showing in SERP features too if my domain is not featured.

Generate a domain visibility snapshot for [domain.com] in [location] in [language] using google_domain_rank_overview. List the estimated organic traffic, percentage of top 10 rankings, and SERP position breakdown for this week. Compare to last month’s values using google_historical_rank_overview.

For the keyword [keyword] in [location], list the top 10 organic search results. Include the page title, ranking position, domain name, URL, and description snippet for each result.

Check if the keyword [keyword] in [location] triggers a featured snippet. If found, return the snippet content, URL, domain, and exact rank position. If not found, confirm its absence.

Using DataForSEO SERP API, return all Google SERP local pack results for the keyword [keyword] in [location]. Include business name, address, average Google rating, number of reviews, and description text. Highlight if any of the listings appear multiple times across the SERP.

Retrieve all “People Also Ask” questions shown in the SERP for [keyword] in [location]. For each question, include the featured answer text, source domain, and URL.

Using DataForSEO SERP API, check if the domain [domain] currently appears in the top 3 results of Google Organic SERP in [location] for the keyword [keyword]. Indicate if the domain appears in the following SERP features: [organic, knowledge graph].

List the web development technologies (e.g., JavaScript libraries, programming languages) used on [domain.com]. Highlight tools that impact site performance and user experience.

What content management system (CMS) is used on [domain.com]? Explain how the CMS choice affects content creation, updates, and SEO performance.

Which marketing automation and email tools are implemented on [domain.com]? Provide insights into their potential impact on lead generation and customer engagement.

What analytics and tag manager tools are used on [domain.com]? Explain their role in tracking user behavior and improving marketing strategies.

What server technologies and caching methods are used by [domain.com]? Analyze how these contribute to website speed, stability, and user experience.

Which media and photo gallery plugins are employed on [domain.com]? Discuss how they contribute to content presentation and user interaction.

Which communication and email technologies are used on [domain.com]? Evaluate how these tools can improve customer service and support.

Identify 20 [pizza restaurants] within a [10] km radius of [city/area] that have a rating of 4.5 or higher and are marked as claimed businesses. Include business name, rating, address, and prioritize locations with more than 10 total reviews.

Return 10 [pizza restaurants] within a [10] km radius of [Manchester] that are marked as inexpensive in price_level, have a rating of 4.0 or higher, and have at least 20 total reviews. Include name, rating, address, and phone number.

Find 15 [pizza restaurants] in [city/area] mentioning [eco-friendly], [sustainable], or [organic] in their description, with at least [30] reviews and a rating above [4.0]. Provide name, address, contact info, and average rating.