Your First Content Audit¶
This tutorial walks you through running your first AI-powered content audit from start to finish. By the end, you'll have a complete audit report with actionable recommendations.
Time Required
- Setup: 5 minutes (if already installed)
- Audit: 30-60 minutes
- Review: 15-30 minutes
Prerequisites¶
Before starting, ensure you have:
- Claude Code or OpenCode installed (Quickstart)
- Seer Agent Engine plugins installed (Quickstart)
- Connected to Seer MCP (Connect to Seer MCP) - recommended
- A target URL to audit
No API keys needed!
Seer MCP is centralized. Just connect via OAuth with your Seer Google Accountโno credentials to manage.
Stuck?
Running into issues? Check the Troubleshooting Guide or ask in #artificial-intelligence-gpt Slack.
Tutorial Map¶
flowchart LR
A[Choose target page] --> B[Run command]
B --> C[Answer intake]
C --> D[Review output]
D --> E[Share results]
Step 1: Choose Your Target Page¶
Select a page that would benefit from optimization. Good candidates include:
- Pages with declining traffic (check Google Analytics)
- Pages ranking on page 2 for target keywords
- Important service/product pages that underperform
- Older content that needs refreshing
For this tutorial, we'll use:
Replace this with your actual target URL.
Step 2: Start the Audit¶
Step 3: Answer the Intake Questions¶
The agent will guide you through an intake process. Here's what to expect:
If you're stuck mid-flow
Run /utils:help or /utils:commands, or jump to Troubleshooting.
Question 1: Target URL¶
Your answer: Paste your target URL
Question 2: Client Name¶
Your answer: Enter the client name as it appears in your BigQuery organization
Question 3: Primary Goal¶
What is the primary goal of this audit?
- Traffic growth
- Conversion optimization
- Competitive positioning
Your answer: Choose the most relevant goal
Question 4: Target Keywords¶
Your answer: Provide keywords or request research
Step 4: Watch the Agent Work¶
After intake, the agent executes the audit workflow:
Phase 1: Data Collection (5-10 minutes)¶
The agent gathers data from multiple sources:
๐ Collecting data...
โโโ BigQuery: Fetching current rankings
โโโ DataForSEO: Analyzing SERP landscape
โโโ Page Analysis: Extracting content structure
Phase 2: Analysis (10-15 minutes)¶
The agent analyzes the collected data:
๐ Analyzing...
โโโ Keyword gaps identified: 12
โโโ Content opportunities: 5
โโโ Technical issues: 3
โโโ Competitive positioning: Moderate
Phase 3: Recommendations (10-15 minutes)¶
The agent generates prioritized recommendations:
๐ Generating recommendations...
โโโ High priority: 3 actions
โโโ Medium priority: 5 actions
โโโ Low priority: 4 actions
Step 5: Review the Output¶
The agent produces a structured audit report. Here's what to expect:
Executive Summary¶
## Executive Summary
**Page:** https://acme.com/blog/seo-best-practices
**Current Position:** Average rank 15 for target keywords
**Opportunity:** +35% organic traffic potential
### Key Findings
1. Missing H2 sections for "local SEO" and "mobile optimization"
2. Thin content in technical SEO section (320 words vs competitor avg 800)
3. No internal links to related service pages
Prioritized Recommendations¶
## Recommendations
### High Priority (Do First)
1. **Add Local SEO Section**
- Current: Not present
- Recommendation: Add 500-word section on local SEO best practices
- Expected Impact: +15% traffic for local SEO keywords
2. **Expand Technical SEO Content**
- Current: 320 words
- Recommendation: Expand to 800+ words with examples
- Expected Impact: +10% rankings improvement
Keyword Analysis¶
## Keyword Opportunities
| Keyword | Current Rank | Volume | Difficulty | Opportunity |
|---------|--------------|--------|------------|-------------|
| seo best practices | 12 | 5,400 | Medium | High |
| seo tips 2024 | 23 | 2,100 | Low | High |
| local seo guide | Not ranking | 1,800 | Medium | Medium |
Step 6: Take Action¶
Export to Wrike (Optional)¶
If you have Wrike connected, export recommendations as tasks:
The agent creates tasks in your designated Wrike folder with:
- Priority labels (High/Medium/Low)
- Detailed descriptions
- Expected impact notes
Export as CSV¶
If you prefer a spreadsheet:
Manual Implementation¶
Copy the recommendations and add them to your content workflow:
- Share with content team
- Prioritize based on resource availability
- Track progress in your project management tool
Common Questions¶
"What if BigQuery data is unavailable?"¶
The agent will ask you to provide data manually:
I couldn't access BigQuery. Can you provide:
1. Current rankings for this page (paste from Google Search Console)
2. Target keywords with search volumes
Paste the requested data and the audit continues.
"What if I don't know the target keywords?"¶
Tell the agent to research them:
The agent uses DataForSEO to find relevant keywords based on the page content and competitive landscape.
"How long does a full audit take?"¶
| Phase | Time |
|---|---|
| Data Collection | 5-10 minutes |
| Analysis | 10-15 minutes |
| Recommendations | 10-15 minutes |
| Total | 30-60 minutes |
Complex pages or large keyword sets may take longer.
"Can I audit multiple pages?"¶
Yes! Run multiple audits:
Repeat for each page. For bulk audits (10+ pages), consider the /search-landscape command instead.
Stuck?
Running into issues? Check the Troubleshooting Guide or ask in #artificial-intelligence-gpt Slack.
Next Steps¶
After your first audit:
- Implement 1-2 High Priority recommendations - Quick wins build momentum
- Track results - Monitor rankings and traffic over 30-60 days
- Run another audit - Compare before/after metrics
Last updated: 2026-01-26
Related Tutorials¶
- Quickstart - Initial setup
- Windows Setup - Windows-specific instructions
Related How-To Guides¶
- Workflows - All available workflows
- Best Practices - Tips for better results
- Troubleshooting - Common issues
Reference¶
- Command Reference -
/content-auditparameters - MCP Servers - Data source configuration