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SEO is evolving fast—are you keeping up? Here are 17 powerful Deepseek SEO prompts to enhance your strategy in 2025:
1. Top 50 Page Analysis
➜ “Analyze the top 50 ranking pages for [keyword] and identify common on-page SEO patterns, including word count, heading structure, and keyword density.”
2. Long-Tail Keywords
➜ “Generate a list of low-competition, high-intent long-tail keywords for [topic], with metrics like keyword difficulty, CPC, and search volume.”
3. Search Intent Comparison
➜ “Compare the search intent of [keyword A] and [keyword B] by analyzing SERP results, user behavior, and top-ranking content types.”
4. Optimization
➜ “Improve this article for SEO: [paste text]. Suggest better headings, internal links, and optimized keyword placement.”
5. Meta Tag Enhancement
➜ “Rewrite this meta title and description to boost CTR while keeping it keyword-rich: [paste current meta tags].”
6. Site Structure Audit
➜ “Analyze [website URL]’s site structure and recommend fixes for internal linking, crawlability, and indexation.”
7. Structured Data Markup
➜ “Create a schema.org markup for a [topic] blog post to increase rich snippet chances.”
8. Topical Map
➜ “Outline a topical map for [niche], including pillar pages, clusters, and supporting content.”
9. Content Gap Analysis
➜ “Identify missing topics on [competitor URL] vs. [your URL] and suggest high-value content to create.”
10. Guest Post Opportunities
➜ “Find high-DA websites in [niche] accepting guest posts, with contact details and domain authority scores.”
You Should Know:
1. Automating SEO Analysis with Python
Use Python to extract SEO data from top-ranking pages:
import requests
from bs4 import BeautifulSoup
url = "https://example.com"
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
<h1>Extract meta tags</h1>
meta_title = soup.find('title').text
meta_desc = soup.find('meta', attrs={'name': 'description'})['content']
print(f" {meta_title}\nDescription: {meta_desc}")
#### **2. Extracting Keywords with Linux Commands**
Use `curl` and `grep` to analyze keyword density:
curl -s https://example.com | grep -o -i "keyword" | wc -l
#### **3. Structured Data Validation**
Validate schema markup using Google’s tool:
curl -X POST -H "Content-Type: application/json" -d @schema.json https://validator.schema.org/validate
#### **4. Site Crawling with Wget**
Download a website for offline SEO analysis:
wget --mirror --convert-links --adjust-extension --page-requisites --no-parent https://example.com
#### **5. Internal Link Checker**
Find broken internal links using `lynx`:
lynx -dump -listonly -nonumbers https://example.com | grep "^http" | sort -u
### **What Undercode Say:**
SEO in 2025 demands automation, structured data, and AI-driven insights. Use these prompts alongside technical SEO audits to stay ahead. Leverage Python, Linux commands, and schema validation to streamline optimizations.
**Expected Output:**
- Optimized meta tags
- Structured data for rich snippets
- High-ranking long-tail keywords
- Improved crawlability via internal linking
References:
Reported By: Altiamkabir Seo – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
