50 Deepseek SEO Prompts to Boost Rankings & Traffic

DeepSeek gave SEO teams something they had not had before: a capable reasoning model at a price low enough to run against every page on a site. This guide collects 50 SEO prompts you can paste straight into it, grouped into five categories, with placeholders you swap for your own keywords, URLs and locations.

Why These DeepSeek Prompts Work Well for SEO

A structured prompt gives you the same shape of answer every time, which is what makes this scalable. Run the same keyword prompt across forty pages and you get forty comparable tables rather than forty differently worded essays. That is the difference between a one-off experiment and something you can build a process around.

The other reason is cost. DeepSeek is priced well below the frontier models from OpenAI and Anthropic, and when you are running a prompt hundreds of times that gap decides whether the work happens at all.

Model	Input per 1M tokens	Output per 1M tokens
DeepSeek-V4-Flash	$0.14	$0.28
DeepSeek-V4-Pro	$0.435	$0.87

Whether you work in-house, run an agency, or drive automated tools like Ahrefs, Semrush, Scrapebox, GSA Search Engine Ranker, SEO NEO or RankerX, these prompts slot into what you already do.

How to Use These DeepSeek Prompts Efficiently

1. Decide what you are actually trying to move. Rankings for a specific page, coverage of a topic, or a technical problem. The prompt you pick follows from that, not the other way round.
2. Fill in every placeholder. A prompt sent with [industry/niche] still in it produces generic filler. The specifics are what make the output usable.
3. Verify anything numeric. Search volumes, domain authority and competition scores from a language model are estimates, not data. Check them in a tool that has the real figures before you act.
4. Keep what works. When a prompt gives you a good answer, save your edited version. Your own library beats any published list within a month.

Why Use DeepSeek-Style SEO Prompts?

Benefits of Standardized SEO Prompts

Consistency is the whole point. A standardised prompt returns the same columns in the same order every time, so the output drops into a spreadsheet without reformatting, and two people on the same team produce work that looks alike. It also cuts down on the vague, hedge-everything answers you get from a loosely worded question.

Integrating Prompts with AI and Automation

Because the output shape is predictable, these prompts can be run through an API rather than pasted one at a time. That is where the cost argument starts to matter: a keyword prompt run across 200 pages costs pennies on DeepSeek and real money on a frontier model. Pair the output with your existing tools for the numbers the model cannot know.

What to Expect, Honestly

These prompts save time on the thinking-and-drafting part of SEO. They will not rank a page on their own, and any guide promising a specific traffic increase from a prompt list is guessing. What you should expect is faster audits, better first drafts, and fewer blank-page starts. The ranking still comes from the work you do with the output.

The 50 DeepSeek SEO Prompts (Categorized)

• Category 1 – Keyword and Content Optimization (13 prompts)
• Category 2 – Technical SEO and Automation (13 prompts)
• Category 3 – Link Building and Outreach (10 prompts)
• Category 4 – Local and Voice Search (7 prompts)
• Category 5 – AI and Emerging SEO Trends (8 prompts)

Category 1 – Keyword and Content Optimization

Keyword Research for Targeted SEO Growth

Keyword work decides what everything else is aimed at. These thirteen prompts cover seed terms, long-tail variants, clustering, titles, meta descriptions and the content brief that follows. Remember that the search volumes a model gives you are estimates — take the ideas, verify the numbers.

Prompt #1: Generate a List of Seed Keywords

List 30 unique and semantically relevant seed keywords under the ‘[Insert your category]’ main category. Present the results in a table with 5 columns: Keyword, Search Intent, Search Volume, Competition Level, Relevance Score. From this list, identify the top 5 most important keywords for immediate focus and explain why they are the best choices based on search demand, competition, and business potential.

Prompt #2: Find Trending Keywords

Identify 10 trending keywords in the [industry/niche] for [year]. For each one give the search volume, the competition level, and a short explanation of why it is gaining popularity.

Prompt #3: Find Long-Tail Keywords

Suggest 15 long-tail keywords related to [main keyword] in the [industry/niche]. Present the results in a table with four columns: Keyword, Search Intent (informational, transactional or navigational), Search Volume, Competition Level. Make sure the keywords are specific and have clear user intent.

Prompt #4: Find Local SEO Keywords

Generate 15 relevant local SEO keywords for a [business type] in [location]. Present the results in a table with four columns: Keyword, Search Intent, Search Volume, Competition Level. Ensure the keywords include geographic modifiers and are optimised for local search rankings.

Prompt #5: Generate Blog Title Ideas

Create 10 engaging and SEO-friendly blog title ideas for [topic] that naturally include the primary keyword [keyword]. Each title should stay under 60 characters, align with search intent, and appeal to [target audience].

Prompt #6: Write a Meta Description

Write a compelling meta description for a page about [topic], incorporating the primary keyword [keyword]. Keep it under 160 characters, include a strong call to action, and make it persuasive enough to earn the click.

Prompt #7: Competitor Keyword Gap

Compare [my website URL] against these three competitors: [competitor 1], [competitor 2], [competitor 3]. Identify 20 keywords in the [industry/niche] that the competitors are likely to cover and I am not. Present a table with four columns: Keyword, Which Competitor Covers It, Estimated Difficulty, Suggested Page Type on My Site. Sort by how quickly each gap could realistically be closed.

Prompt #8: Build a Content Brief

Write a content brief for an article targeting [primary keyword] aimed at [target audience]. Include the working title, the search intent behind the query, a suggested H2 and H3 outline, the questions the article must answer, five secondary keywords to include naturally, a target word count with reasoning, and three internal links I should add from [my website URL].

Prompt #10: Keyword Clustering

Organise the following keywords into meaningful groups based on their search intent. Present the results in a table with three columns: Keyword, Search Intent, Keyword Cluster. Make sure the clusters are structured so each one could become a single page. Here is the list of keywords: [Insert Keyword List].

Prompt #11: SEO-Friendly URL Structure

Suggest the best SEO-friendly URL structure for an article about [Blog Title]. Keep the URL short and clear, include the primary keyword naturally, and avoid unnecessary words, special characters and numbers unless required. Give a few variations and explain why each works.

Prompt #15: Title Tag Variations

Write 10 title tag variations for a page targeting [primary keyword]. Give me a mix: two straight and descriptive, two question-led, two with a number or year, two benefit-led, and two that lead with the brand [brand name]. Keep every one under 60 characters, show the character count beside each, and say which single variation you would ship and why.

Prompt #21: Featured Snippet Opportunities

Identify 10 questions related to [topic] with high featured snippet potential. For each question give the likely current snippet type (paragraph, list or table), a competitor URL that may hold it, and the content adjustment I should make. Explain how to structure the content to target these snippets.

Prompt #43: Predictive Keyword Analysis

Using historical patterns and known industry trends, suggest 15 emerging keywords for [industry/niche] over the next 12 months. For each give a predicted demand direction, the reasoning behind it (industry shifts, seasonal patterns, regulation), and the content format to target it with. Prioritise low competition and high relevance, and flag which predictions are the most speculative.

Used well, these keyword prompts turn a blank spreadsheet into a prioritised plan in an afternoon. The verification still matters.

Asia Virtual Solutions

Category 2 – Technical SEO and Automation

Enhancing Website Performance and Crawlability

Technical SEO decides whether search engines can crawl, render and index what you publish. These thirteen prompts cover robots.txt, sitemaps, structured data, speed, Core Web Vitals and migrations. Where a prompt asks for code, read it before you deploy it.

Prompt #9: Optimize a Paragraph

Optimise the following paragraph for SEO by naturally including the primary keyword [keyword]. The keyword should read smoothly without overuse, and the paragraph must stay clear and easy to read. The paragraph to optimise is: [insert paragraph].

Prompt #12: Configure Robots.txt File

Create an optimised robots.txt file for a website that has a blog, an online store and a member-only section. Search engines should be able to fully index important pages while private or low-value pages are blocked. Give clear rules for crawling the blog and store and for keeping member-only content out of the index, and explain why each rule matters.

Prompt #16: Optimize Image Alt Text

Optimise alt text for 10 images on a webpage about [topic]. Each one should include the primary keyword [keyword] naturally where it fits, describe the image accurately, and stay under 125 characters. Give the original filename, the current alt text if any, and the improved version.

Prompt #17: Schema Markup Implementation

Suggest schema markup types (for example Article, FAQPage, Product) for a [business type] website. For each type explain its purpose, provide a JSON-LD code snippet, and list the pages where it belongs. Include five schema types and prioritise them by likely SEO impact.

Prompt #19: XML Sitemap Audit

Audit the XML sitemap setup for [website URL], a [site type] site. Tell me which URL types belong in the sitemap and which do not, whether the site should use a sitemap index with separate child sitemaps, how to handle paginated, filtered and parameter URLs, what to do about noindex and canonicalised pages that are currently listed, and how lastmod should be set. Finish with a 10-point checklist I can work through.

Prompt #20: Site Speed Checklist

Create a 10-step checklist to improve site speed for [website URL]. Cover technical fixes such as image compression and caching, name the tool to measure each one, assign a priority of critical, high or medium, and estimate the time to implement each step.

Prompt #23: Crawl Budget Optimisation

[website URL] has roughly [number] indexable URLs. Identify the ten most likely sources of wasted crawl budget on a site of this type — faceted navigation, session parameters, infinite calendars, thin tag archives, soft 404s and similar. For each, explain how to confirm it in Google Search Console or a log file, and give the correct fix (robots.txt, noindex, canonical, parameter handling or removal). Say plainly which of these matter only above a certain site size.

Prompt #24: Structured Data Validation

Review this JSON-LD block for errors and for anything that would stop it being eligible for rich results: [paste your JSON-LD]. Check required and recommended properties for the declared type, look for duplicate or conflicting @id values, flag any entity described in the markup that does not appear on the page, and confirm the markup and the visible content agree. Return a corrected version with the changes explained.

Prompt #25: Mobile-First SEO Checklist

Create a 12-point checklist to confirm [website URL] is properly optimised for mobile-first indexing. Include responsive design, mobile page speed, spacing of clickable elements, viewport configuration, and parity between the mobile and desktop content. Flag the common mobile SEO mistakes and how to fix each.

Prompt #35: Pagination and Canonical Best Practices

Fix pagination on [website URL] for a [blog or category page]. Note that Google stopped using rel=”next” and rel=”prev” as an indexing signal in 2019, so base the recommendation on self-referencing canonicals, crawlable anchor links between pages, and whether a view-all page makes sense here. Include code examples and say which approach suits this site.

Prompt #37: Core Web Vitals Optimization

Diagnose Core Web Vitals issues for [website URL] and give 15 fixes across the three current metrics: Largest Contentful Paint, Interaction to Next Paint, and Cumulative Layout Shift. Note that INP replaced First Input Delay in March 2024, so do not give FID advice. Include the technical steps and a priority level for each fix.

Prompt #41: JavaScript SEO Audit

Conduct a JavaScript SEO audit for [website URL] and identify 10 issues that could hinder crawling or indexing. For each give the technical problem (lazy-loaded content, client-side routing, missing meta tags), the impact on SEO, and the recommended solution. Include code snippets or the tool that would confirm it, such as the URL Inspection tool in Google Search Console.

Prompt #42: HTTPS Migration Checklist

Create a 12-step checklist to migrate [website URL] from HTTP to HTTPS without harming SEO. Include pre-migration steps such as SSL certificate setup, post-migration checks such as updating internal links and canonical tags, the common pitfalls including mixed content errors, and the tools to validate each stage.

Technical prompts are the ones most worth checking twice. A model will happily generate a robots.txt rule that deindexes your shop.

Michael Swart

Category 3 – Link Building and Outreach

Boosting Authority and Backlinks

These ten prompts cover anchor text, outreach, audits and internal linking. One caution worth repeating: a model cannot see live backlink data, so any list of “high-DA sites” it produces is a starting point for verification, not a prospect list you should email.

Prompt #13: Generate Anchor Text Ideas

Create 8 well-optimised anchor text suggestions for linking to [website URL]. Each should be relevant and descriptive, and the set should include natural variations of the primary keyword rather than the same phrase repeated. See our anchor text variation guide for the ratios to aim for.

Prompt #14: Write an Outreach Email

Write a professional and persuasive outreach email to [website name] asking them to include my resource on their resource page for [topic]. Open warmly, explain clearly why the resource is useful to their audience, and close with a specific call to action. Keep it under 150 words.

Prompt #22: Backlink Audit Report

I will paste a list of 50 backlinks for [website URL]. Categorise them into toxic links with reasons, high-authority links, and broken links. Give actionable steps for the toxic ones and say which are worth a disavow rather than being ignored. Here is the list: [paste backlinks].

Prompt #26: Broken Link Building Strategy

Outline a broken link building campaign for [industry/niche]. Tell me the types of page most likely to hold dead outbound links, how to find them with a crawler, how to judge whether a replacement from [your website URL] is genuinely relevant, and give an outreach email template that does not read like a template.

Prompt #27: Competitor Backlink Gap

I will paste referring domain lists for [my website URL] and for [competitor 1] and [competitor 2]. Identify the domains linking to both competitors but not to me, group them by link type (directory, editorial, resource page, guest post, forum), and rank them by how realistically I could earn each one. For the top ten, suggest the specific angle I should pitch. Here are the lists: [paste lists].

Prompt #28: Keyword Cannibalization Check

Audit [website URL] for keyword cannibalisation on [primary keyword]. Identify pages competing for the same query and recommend which to merge, which to redirect, and which to differentiate, with the reasoning for each decision.

Prompt #29: Internal Linking Strategy

Propose an internal linking plan for [website URL] focused on [topic]. Identify the pillar pages, the supporting pages that should link up to them, and the anchor text variations to use. Map the relationships between pages so the structure is clear, and flag any page that would end up with no internal links pointing at it.

Prompt #30: Linkable Asset Ideas

Suggest 10 linkable assets [my website URL] could build for [industry/niche] — original data, free tools, calculators, templates, benchmark reports. For each give the working title, who would link to it and why, the effort to produce it (low, medium, high), and the single strongest outreach angle. Rule out anything that would need data we could not realistically collect.

Prompt #33: Unlinked Brand Mention Reclamation

I will paste a list of pages that mention [brand name] without linking to us. For each, judge whether a link would genuinely fit the context, suggest the exact sentence and anchor text to propose, and draft a short outreach message that references what the page actually says. Skip any page where asking would be a stretch. Here is the list: [paste mentions].

Prompt #39: Guest Posting Outreach Strategy

Build a guest posting plan for [industry/niche]. Describe the types of site worth pitching, the signals that mark a site as a link farm rather than a real publication, three pitch angles suited to my expertise in [topic], and a follow-up sequence. Do not invent specific site names or contact details — describe what to look for so I can source them myself.

A model can shape your outreach and sharpen your angle. It cannot tell you which domains are live and worth having. Pair these with real backlink data.

Asia Virtual Solutions

Category 4 – Local and Voice Search

Optimizing for Local Visibility and Voice Queries

Local search rewards consistency more than cleverness. These seven prompts cover local keywords, your Google Business Profile, citations, multi-location pages, reviews and conversational queries. Prompt #4 from Category 1 belongs here too.

Prompt #18: Voice Search Optimization

Generate 15 voice-search-optimised questions for [topic] that mimic how people actually speak. For each give the question, the target keyword, the search intent, and the content format that would answer it best. Keep the phrasing conversational rather than keyword-stuffed.

Prompt #32: Google Business Profile Optimization

Optimise a Google Business Profile for a [business type] in [location]. Note the product is called Google Business Profile, not Google My Business, which was renamed in 2021. Cover the business description, primary and secondary category selection, a realistic posting schedule, photo guidance, and the attributes worth filling in for this business type.

Prompt #36: NAP and Citation Audit

My business is [business name], [full address], [phone number]. List the 20 citation sources that matter most for a [business type] in [country], split into general directories, industry-specific directories, and data aggregators. For each, note what a correct listing looks like and the most common way businesses get it wrong. Then explain how inconsistent name, address and phone details across these sources hurt local rankings, and give me the order to fix them in.

Prompt #38: Multi-Location Landing Pages

I run a [business type] with locations in [list your locations]. Design a location landing page template that will not read as duplicate content: tell me which sections must be genuinely unique per location, which can be shared, what local proof to include, how to handle the URL structure and internal linking between locations, and what LocalBusiness schema each page needs. Then write the full page for [one example location] as a model.

Prompt #40: Review Generation and Response

Build a review programme for [business name], a [business type] in [location]. Include the right moment to ask a customer, three short request messages for email, SMS and in person, and response templates for a five-star review, a fair three-star review, and an angry one-star review. Keep the responses specific rather than generic, and note what Google’s review policies do not allow — incentives, gating, and soliciting only happy customers.

Prompt #46: Google Posts Optimization

Create a 30-day Google Posts calendar for a [business type] in [location]. For each post give the topic, the primary keyword, the call to action, and image guidance. Keep everything within Google Business Profile content policies.

Local SEO is mostly consistency and follow-through. These prompts help you plan it; the results come from actually doing it every week.

Asia Virtual Solutions

Category 5 – AI and Emerging SEO Trends

AI-Powered SEO and Future-Proofing Your Strategy

This is the category that has changed most since this article first went up. Being cited inside an AI answer is now its own channel, and deciding which AI crawlers may read your site is a real decision with revenue attached. These eight prompts cover both, alongside content gaps, E-E-A-T and your tool stack.

Prompt #31: E-E-A-T Content Optimization

Improve E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) for [website URL]. Note that Google added the first E, Experience, in December 2022, so include first-hand experience signals and not just credentials. Suggest author bio improvements, the citations worth adding, trust signals for this type of business, and 10 actionable steps with examples.

Prompt #34: AI-Generated Content SEO Check

Audit the content on [webpage URL] for the patterns that make AI-written text obvious: passages with no original insight, keyword stuffing, hedge-everything phrasing, and repetitive sentence structure. Flag each instance with the specific line, and give five rewrites that add something a machine could not have known.

Prompt #44: AI Search Visibility

I want [website URL] cited when someone asks an AI assistant about [topic]. List the 15 questions a buyer would realistically ask ChatGPT, Gemini, Perplexity or Claude at each stage of choosing a

. For each, tell me whether my site currently has a page that could be cited as the answer, what that page would need to state plainly for a model to quote it, and which competitor is most likely being cited instead. Prioritise by how close each question sits to a buying decision.

Prompt #45: AI Crawler Policy

Help me decide which AI crawlers [website URL] should allow. My business model is [describe it — publisher, ecommerce, lead generation, SaaS]. Explain the difference between crawlers that gather training data and those that fetch pages to answer a live question, since blocking the second kind removes you from AI answers entirely. Cover the main named agents, what robots.txt can and cannot enforce, and where llms.txt fits. Then give me a recommended robots.txt block with a comment explaining each line.

Prompt #47: Entity and Topical Authority Map

Map the entities I need to cover to be treated as authoritative on [core topic]. List the concepts, people, tools, standards and organisations a comprehensive resource would mention, group them into clusters that could each become a page, and mark which are essential versus nice to have. Then compare against the pages already on [website URL] and tell me the three biggest gaps.

Prompt #48: Automation and SEO Tool Stack

Design an SEO tool stack for a [business type] with a budget of [amount] per month and a team of [number]. Cover rank tracking, crawling, backlink data, content optimisation and reporting. For each slot name two or three real options at different price points, say what the cheap option gives up, and identify which tasks are worth automating with an API versus doing by hand at this size. Flag any overlap where I would be paying twice for the same data.

Prompt #49: AI-Driven Content Gap Analysis

Analyse [website URL] and identify 10 untapped content opportunities in [industry/niche]. For each give the topic, how competitors currently cover it, the angle that would let me cover it better, and the target keyword. Prioritise topics where my existing content gives me a credible reason to rank.

Prompt #50: Webinar SEO Strategy

Optimise a webinar landing page for [topic] to rank for [primary keyword]. Provide the title tag and meta description, guidance on the registration form, post-webinar content ideas such as a blog recap and video clips, and the outreach targets worth approaching for links to the recording.

Two years ago nobody was optimising to be quoted by a chatbot. Prompts #44 and #45 exist because that is now part of the job.

Michael Swart

Pro Tips for Maximizing These DeepSeek Prompts

The prompts are the easy part. How you use them decides whether the output is worth anything.

Customizing SEO Prompts for Your Niche

A prompt written for a general audience gives you a general answer. Add the vocabulary your customers actually use, state the reading level you want, and say whether the tone should be technical or plain. If you sell locally, say so in the prompt rather than fixing it afterwards. Save your edited version once it works.

Pairing SEO Prompts with AI Tools

The model supplies structure and ideas. Your tools supply the facts it cannot know.

• Ahrefs or Semrush for real search volume, difficulty and backlink data — check every number a prompt returns
• Google Search Console for what your site actually ranks for, which no model can tell you
• Screaming Frog or Sitebulb for the crawl data behind the technical prompts
• A content optimisation tool such as Surfer or Frase to sanity-check a brief against what currently ranks

Avoiding Common SEO Mistakes

• Publishing the output unedited. The single biggest mistake. These are drafts and audits, not finished pages.
• Trusting invented numbers. A model will state a search volume with total confidence and no source behind it.
• Keyword stuffing. Asking for a keyword “throughout” the text gets you exactly that, and it reads badly.
• Ignoring search intent. A well-optimised page answering the wrong question still fails.
• Never revisiting. Run the gap and cannibalisation prompts against your own site every few months, not once.

Key Takeaways

Five Prompts Worth Running First

1. Prompt #28, keyword cannibalisation. When several of your own pages compete for one query, none of them wins cleanly. This is usually the fastest fix on an established site.
2. Prompt #44, AI search visibility. Buyers are asking assistants before they reach Google. Finding out which competitor gets cited instead of you is worth an afternoon.
3. Prompt #37, Core Web Vitals. Speed problems affect every page at once, so a fix here compounds across the whole site.
4. Prompt #7, competitor keyword gap. The quickest way to find demand you are not covering, and it points at pages you can actually win.
5. Prompt #29, internal linking. Free to implement, entirely within your control, and most sites are leaving a lot on the table.

DeepSeek SEO Prompt Questions

Do these prompts only work in DeepSeek?

No. They are written in plain language and work in ChatGPT, Claude, Gemini or any capable model. DeepSeek is named because it is the cheap option, and price is what decides whether you can afford to run the same prompt across hundreds of pages.

Can I trust the search volumes and difficulty scores it gives me?

No, and this is the most important thing on this page. A language model has no live access to search data. When a prompt asks for search volume you get a plausible-looking estimate, not a measurement. Use the prompts to generate and structure ideas, then verify every number in Ahrefs, Semrush or Google Search Console before acting.

What does DeepSeek cost to run these prompts?

At the rates checked in September 2026, V4-Flash is $0.14 per million input tokens and $0.28 per million output, and V4-Pro is $0.435 and $0.87. A single prompt and answer is a few thousand tokens, so individual runs cost a fraction of a cent. DeepSeek has signalled a price change without publishing the new rates, so check their pricing page before budgeting a large job.

Why do the prompt numbers skip around inside each category?

The prompts are numbered 1 to 50 across the whole set, then grouped by what they do rather than by number. That is why Category 1 runs 1 to 8 and then jumps to 10, 11, 15, 21 and 43. Prompt #4 appears in two categories because local keyword research belongs to both.

Should I paste my whole site into these prompts?

Only what the prompt needs. Several ask you to paste a list of backlinks, keywords or a JSON-LD block, and that is the input they are designed for. Do not paste customer data, credentials or anything you would not want stored by the provider.

Will AI-assisted content get my site penalised?

Google’s position is that it rewards helpful content regardless of how it was produced, and acts against content produced at scale to manipulate rankings. Using a model to draft and audit is fine. Publishing unedited output across hundreds of pages is the behaviour that causes problems. Prompt #34 exists to check your own content against that line.

Conclusion and Next Steps

Structured prompts are worth having because they make the repetitive part of SEO fast and consistent. They will not do the job for you. Every one of these 50 gives you a draft, an audit or a list — what happens next is still your judgement.

If you run one thing from this page, make it Prompt #44. Working out which questions your buyers ask an AI assistant, and who gets cited instead of you, is the gap most sites have not looked at yet.

Bookmark this page and come back to it. We keep the prompts current as search changes, and this version was reviewed in September 2026.