How to Do Shopify Keyword Research with Ahrefs: What to Export Before Planning Content
Shopify merchants aiming to improve their store's organic search visibility need a practical, data-driven approach to keyword research. Ahrefs is a powerful SEO tool that can help ecommerce teams uncover keywords relevant to their produc...
Summary
- Shopify keyword research with Ahrefs starts by exporting relevant keyword data tailored to ecommerce content goals.
- Focus on keyword metrics such as search volume, keyword difficulty, and commercial intent to prioritize topics for Shopify blog posts and product content.
- Organize exported keywords into thematic groups for blog drafts, product education, buying guides, and FAQ content to support internal linking and SEO.
- Use exported keyword insights to guide human-reviewed content planning, avoiding generic AI content and ensuring alignment with Shopify store strategy.
Intro
Shopify merchants aiming to improve their store's organic search visibility need a practical, data-driven approach to keyword research. Ahrefs is a powerful SEO tool that can help ecommerce teams uncover keywords relevant to their products, collections, and blog content. However, exporting the right keyword data before planning content is crucial to avoid overwhelming spreadsheets and wasted effort.
This article focuses on how Shopify store owners and marketers can effectively export and organize keyword data from Ahrefs to inform their Shopify blog drafts, product education pages, buying guides, and FAQ content. By prioritizing actionable metrics and thematic grouping, merchants can create content that supports internal linking and enhances the shopper experience while ensuring all content undergoes human review before publishing.
1. Choosing the Right Keyword Export Types for Shopify Content
When using Ahrefs for Shopify keyword research, the first step is to decide what types of keyword data to export. Shopify stores benefit from a mix of informational and transactional keywords to attract buyers at different stages of the funnel. Start by exporting keywords related to your main product categories, specific products, and common customer questions.
For example, export keyword lists for your top-selling product names, collection themes, and general product types. Include long-tail keywords that feature buying intent modifiers like "best," "buy," "review," or "discount." Exporting keyword data on competitor Shopify stores can also reveal gaps or opportunities. These exports should include key metrics such as search volume, keyword difficulty, and cost-per-click (CPC) to assess commercial potential and SEO competitiveness.
2. Prioritizing Keywords with Practical Metrics
After exporting keywords from Ahrefs, Shopify merchants need criteria to prioritize which keywords to target in their blog drafts and product content. Search volume is important but should be balanced with keyword difficulty to avoid chasing overly competitive terms that may not fit your store's current SEO strength.
Another useful metric is the commercial intent signaled by CPC values. Keywords with higher CPC often indicate buyer interest, making them good candidates for product pages or buying guides. Conversely, keywords with lower CPC and informational intent can be ideal for educational blog posts or FAQ content that supports product discovery. Prioritization should also consider relevance to your specific Shopify store inventory and target audience.
3. Organizing Exported Keywords into Thematic Groups
Creating thematic groups from exported keyword lists helps Shopify merchants plan content that covers related topics comprehensively. Group keywords by product category, specific product, or customer question themes. For example, all keywords related to "organic cotton t-shirts" could form one group supporting a detailed buying guide and product education blog posts.
Thematic grouping also facilitates internal linking strategies, connecting blog posts, FAQs, product pages, and collections. This structured approach improves site navigation clarity for shoppers and search engines. Use spreadsheet filters or tagging to manage groups and avoid keyword overlap across multiple content pieces.
4. Exporting Ahrefs Data for Shopify FAQ and Long-Tail Content
FAQ content is essential for Shopify stores to address common customer concerns and optimize for long-tail search queries. When exporting keyword data from Ahrefs, filter for question-based keywords and long-tail phrases that reflect real shopper questions. These keywords often have lower competition and can attract highly targeted traffic.
Use exported question keywords to build FAQ sections on product or collection pages and to create detailed blog posts answering specific queries. This approach can reduce customer support volume and improve user trust. Always verify FAQ accuracy with your actual product details and store policies before publishing.
5. Practical Workflow for Exporting and Using Ahrefs Keywords in Shopify Content Planning
Shopify teams should establish a clear workflow for exporting Ahrefs keyword data and integrating it into their content planning. Begin by exporting keywords segmented by product, collection, and informational intent. Review and clean the data to remove irrelevant or overly competitive terms. Then group keywords thematically to align with your planned blog drafts, product education pages, buying guides, and FAQ content.
For merchants who want help with this step, Agatha—our product—can support the drafting workflow by turning up to 50 merchant-supplied, researched article titles into long-form Shopify Blog drafts. Each draft is saved as an unpublished post so the merchant can review facts, edit the copy, add images, adjust formatting, and publish manually.
After organizing, assign keywords to specific content outlines and ensure all drafts undergo human review for accuracy, tone, and brand alignment. Avoid generic AI-generated content by using keyword data as a guide rather than a script. This workflow supports creating valuable, relevant Shopify blog content that enhances the customer experience and complements product SEO.
| Workflow Criterion | What to Verify | Why It Matters | Merchant Responsibility |
|---|---|---|---|
| Keyword Relevance | Keywords match your Shopify product and collection themes | Ensures content aligns with what your store sells and attracts the right shoppers | Review keyword lists for store-specific terms and remove unrelated phrases |
| Search Volume & Difficulty | Exported keywords have balanced volume and manageable difficulty | Focuses efforts on achievable SEO targets rather than overly competitive terms | Prioritize keywords based on your store's SEO maturity and resources |
| Commercial Intent | Include CPC or buyer intent signals in exports | Identifies keywords that can drive conversions and sales | Segment keywords by intent for targeted content types (blogs, product pages, FAQs) |
| Thematic Grouping | Keywords grouped logically by product or topic | Supports internal linking and comprehensive content coverage | Create and maintain keyword groups to guide content outlines and linking |
Frequently Asked Questions
FAQ 2: How can thematic keyword grouping improve Shopify content planning?
FAQ 3: Why include long-tail keywords in Shopify blog content?
FAQ 4: How to use exported competitor keywords effectively?
FAQ 5: What types of Shopify content benefit most from keyword research?
FAQ 6: How to avoid generic AI content when using keyword data?
FAQ 7: Should all exported keywords be targeted immediately?
FAQ 8: How does internal linking support Shopify SEO with keyword research?
FAQ 1: What keyword metrics should Shopify merchants prioritize in Ahrefs exports?
Answer: Merchants should focus on search volume, keyword difficulty, and commercial intent indicators like CPC. These metrics help balance potential traffic against competition and buying readiness.
Takeaway: Prioritize keywords that are relevant, achievable, and likely to attract buyers.
FAQ 2: How can thematic keyword grouping improve Shopify content planning?
Answer: Grouping keywords by product or topic helps create focused content clusters and supports internal linking, making navigation clearer for customers and search engines.
Takeaway: Thematic groups organize content strategy and improve SEO coherence.
FAQ 3: Why include long-tail keywords in Shopify blog content?
Answer: Long-tail keywords often have lower competition and reflect specific shopper intents, making them valuable for attracting targeted traffic and answering detailed queries.
Takeaway: Long-tail keywords enhance relevance and support niche content.
FAQ 4: How to use exported competitor keywords effectively?
Answer: Analyze competitor keywords to find content gaps and opportunities, then tailor your Shopify content to target underserved or complementary topics.
Takeaway: Competitor data can guide strategic keyword targeting.
FAQ 5: What types of Shopify content benefit most from keyword research?
Answer: Blog drafts, product education pages, buying guides, and FAQ sections all benefit by targeting relevant keywords to improve discoverability and shopper engagement.
Takeaway: Keyword research informs diverse content formats supporting ecommerce goals.
FAQ 6: How to avoid generic AI content when using keyword data?
Answer: Use keyword data as a guide for topic relevance but ensure all content is human reviewed, customized, and aligned with your brand voice and product details.
Takeaway: Human review is essential to maintain authenticity and quality.
FAQ 7: Should all exported keywords be targeted immediately?
Answer: No, prioritize keywords based on your store's SEO maturity, resource availability, and product relevance. Some keywords may be reserved for future content updates.
Takeaway: Strategic prioritization maximizes SEO efficiency.
FAQ 8: How does internal linking support Shopify SEO with keyword research?
Answer: Internal linking connects related content pieces, distributes relevance signals, and helps shoppers easily navigate between blog posts, product pages, and collections.
Takeaway: Internal links enhance site structure and user experience.
