AI Prompts for SEO Specialists: Keyword Research, On-Page, Technical Audits

Published: July 2026 | 9 min read

SEO is a data-heavy discipline where AI can compress hours of analysis into minutes — but only if you prompt correctly. "Find keywords for my site" gives you nothing actionable. Structured prompts that define the industry, competitive landscape, search intent layers, and output format turn AI into a junior SEO analyst that never sleeps.

Below are production-ready AI prompts for SEO specialists, organized by workflow. These are adapted from Skillent's Marketing AI Prompt Library.

Keyword Research & Strategy

1. Keyword Cluster Builder

Role: Senior SEO strategist
Task: Build a keyword cluster strategy for [website/industry].
Seed keyword: "[primary keyword]"
For each cluster:
1. Cluster name
2. 10-15 related keywords (long-tail + head terms)
3. Search intent for each keyword (informational/commercial/transactional/navigational)
4. Estimated difficulty (Low/Med/High)
5. Content format recommendation (guide/list/comparison/product page)
6. Internal linking map (which clusters connect)
Output: Cluster map sorted by business priority.
Include: Top 3 "quick win" keywords (low difficulty, high intent).

2. Search Intent Classifier

Role: SEO analyst
Task: Classify search intent for this keyword list and recommend content type.
Keywords: [paste list]
For each keyword:
1. Primary intent (informational / commercial / transactional / navigational)
2. Secondary intent (if mixed)
3. Recommended content format (blog post / landing page / product page / FAQ / video)
4. User journey stage (awareness / consideration / decision)
5. SERP feature opportunities (featured snippet / PAA / image pack / video)
Output: Table sorted by commercial value (highest first).

3. Competitor Keyword Gap Analysis

Role: Competitive SEO analyst
Task: Identify keyword gaps between our site and [competitor domain].
Our ranking keywords: [paste or describe]
Competitor's ranking keywords: [paste or describe]
For each gap keyword:
1. Keyword
2. Competitor's ranking position
3. Our position (if any) or "not ranking"
4. Search volume estimate
5. Content URL ranking on competitor
6. Difficulty to outrank (Low/Med/High based on content quality)
7. Priority (High/Med/Low based on commercial value)
Output: Prioritized keyword gap list with content recommendations.
Focus: Keywords where competitor ranks top 5 and we don't rank top 20.

On-Page Optimization

4. Title Tag & Meta Description Optimizer

Role: On-page SEO specialist
Task: Optimize title tags and meta descriptions for this URL.
Current title: [paste]
Current meta: [paste]
Target keyword: [keyword]
Secondary keywords: [list]
Requirements:
- Title: 50-60 characters, keyword in first half, compelling CTR hook
- Meta: 150-160 characters, keyword included, benefit-driven, no keyword stuffing
Generate: 5 title variations and 5 meta variations
For each: Character count and CTR-optimization rationale
Also include: Recommended separator (|, —, :) and brand name placement.

5. Content Optimization Brief

Role: SEO content optimizer
Task: Create an optimization brief for this existing blog post.
URL/Content: [paste]
Target keyword: [keyword]
Include:
1. Title tag recommendation
2. Meta description recommendation
3. Header structure (H1-H3 hierarchy)
4. Keyword placement map (where in the content, how many times)
5. LSI/related keywords to include naturally (10-15)
6. Internal linking suggestions (3-5 links to existing content)
7. Image alt text recommendations
8. FAQ section additions for PAA opportunities
9. Readability improvements needed
Output: Actionable optimization checklist sorted by SEO impact.

6. Schema Markup Generator

Role: Technical SEO specialist
Task: Generate schema markup for this content.
Content type: [article / product / FAQ / how-to / recipe / local business]
Content details: [paste relevant info]
Generate: JSON-LD schema markup that validates against schema.org
Include all required and recommended properties for the type.
Output: Ready-to-paste JSON-LD script tag.
Note: Flag any properties that require verification (e.g., aggregateRating needs real reviews).

Technical SEO Audits

7. Technical Audit Checklist Generator

Role: Technical SEO auditor
Task: Create a comprehensive technical SEO audit checklist for [site type].
Categories:
1. Crawlability & Indexation (robots.txt, sitemap, canonicals, noindex)
2. Site Architecture (URL structure, breadcrumbs, navigation depth)
3. Performance (Core Web Vitals, LCP, CLS, FID/INP)
4. Mobile (responsive, tap targets, viewport)
5. Security (HTTPS, mixed content)
6. Structured Data (schema validation)
7. International (hreflang, ccTLDs)
For each item: What to check, tool to use, pass/fail criteria, fix recommendation
Output: Audit checklist with priority levels (Critical/High/Medium/Low).

8. Core Web Vitals Diagnosis

Role: Page speed optimization specialist
Task: Diagnose Core Web Vitals issues for [URL].
Current metrics: LCP [X]s, CLS [X], INP [X]ms
Analyze potential causes:
1. LCP: Render-blocking resources, server response time, image optimization
2. CLS: Layout shifts from images/ads/embeds without dimensions
3. INP: JavaScript interactivity delays, third-party scripts
For each issue:
- Root cause hypothesis
- Specific fix recommendation
- Expected impact (seconds/ms improvement)
- Implementation difficulty (Low/Med/High)
Output: Prioritized fix list with estimated effort and impact.

9. Redirect Chain Auditor

Role: Technical SEO analyst
Task: Analyze this redirect chain and recommend fixes.
Chain: [URL1] → 301 → [URL2] → 301 → [URL3] → 200
For each hop:
1. Why the redirect exists
2. Whether it's necessary
3. Performance impact (time added)
4. SEO impact (link equity loss)
Recommendation: Direct chain to final URL? Update internal links? Other?
Output: Fix recommendation with implementation steps.
Also include: .htaccess or nginx config snippet for the fix.

Link Building & Off-Page SEO

10. Link Building Prospect Finder

Role: Link building strategist
Task: Identify link building prospects for [site/industry].
Strategy: Identify sites that link to competitors but not us.
For each prospect:
1. Site name and URL
2. Why they're relevant (industry, audience, authority)
3. Link type opportunity (guest post / resource / broken link / digital PR)
4. Suggested outreach angle
5. Domain authority estimate
6. Contact method (form / email / social)
Output: Prioritized prospect list (top 50) sorted by authority and relevance.
Include: Template outreach email for each link type.

11. Anchor Text Distribution Analyzer

Role: Off-page SEO analyst
Task: Analyze anchor text distribution for [domain].
Current anchor text breakdown:
- Exact match: [X]%
- Partial match: [X]%
- Brand: [X]%
- Generic: [X]%
- Naked URL: [X]%
Ideal distribution: 40% brand, 25% partial match, 15% generic, 10% exact match, 10% naked URL
Identify: Over-optimized categories (potential penalty risk)
Recommend: Anchor text adjustments for future link building
Output: Risk assessment + 3-month anchor text strategy.

SERP Analysis & Competitive Intelligence

12. SERP Feature Opportunity Map

Role: SERP analysis specialist
Task: Analyze SERP features for [keyword] and identify opportunities.
SERP features present: [list observed features — featured snippet, PAA, image pack, video, etc.]
For each feature:
1. Which competitor owns it
2. Content format they used
3. What's required to steal it (content changes, schema, format match)
4. Difficulty estimate
5. Traffic impact estimate
Output: SERP feature strategy with prioritized actions.
Focus: Features where we're close but not winning (page 1, just not featured).

Local SEO

13. Local SEO Optimization Plan

Role: Local SEO specialist
Task: Create a local SEO optimization plan for [business type] in [city].
Include:
1. Google Business Profile optimization checklist
2. Local citation audit (NAP consistency across directories)
3. Review acquisition strategy (timeline, templates, goals)
4. Local landing page recommendations (city + service pages)
5. Local link building ideas (chambers, local blogs, community events)
6. Schema markup for LocalBusiness
Output: 90-day local SEO action plan with weekly milestones.
Include: Recommended tools for each step and KPI targets.

Best Practices for SEO AI Prompts

1. Always provide context — industry, site type, current rankings, competitor domains

2. Specify output format — table, checklist, JSON-LD, bullet list, spreadsheet-ready

3. Use SEO terminology correctly — search intent, canonical, hreflang, Core Web Vitals

4. Ask for prioritization — sorted by impact, difficulty, or business value

5. Verify with tools — AI output is analysis, not ground truth. Validate with Search Console, Ahrefs, Screaming Frog.

Related: Check out our guides on ChatGPT prompts for content marketers and AI prompts for email marketing.