7 Steps to Build a GPT-5 Agent That Spies on Competitor Content
Want to Know Why Your Competitors Win on TikTok & Instagram?
They’re not guessing.
They’re analyzing colors, layouts, emotions, and visual patterns at scale.
And now, you can too.
In this guide, you’ll learn how to build a cross-platform AI agent that automatically analyzes competitor content on TikTok and Instagram using GPT-5 Vision—and turns raw posts into clear competitive insights you can act on.
No fluff. Just a system that works.
What You’re Building (At a Glance)
By the end, you’ll have an automated agent that:
Scrapes Instagram & TikTok posts
Analyzes images using GPT-5 Vision
Extracts colors, composition, mood, and text style
Generates a competitive report
Logs everything into Google Sheets
This is competitive visual intelligence, done right.
Step 1: Set Up Your Form Input
Every smart agent starts with clean inputs.
Create a form trigger that captures:
Your brand’s account handle
Up to 3 competitor accounts
Platform selection (Instagram, TikTok, or both)
Number of posts to analyze per account
Why this matters:
You’re giving the agent context and control. It knows who to analyze, where, and how deep to go.
Keep it simple. Clean inputs = clean outputs.
Step 2: Configure API Credentials
Now connect the engine.
You’ll need to:
Add your OpenAI API key in the workflow configuration
Configure Apify credentials for:
Instagram scraper
TikTok scraper
Connect your Google Sheets account for logging
Create a spreadsheet with columns like:
timestampown_accountcompetitorsplatformsposts_analyzedsummary
This sheet becomes your analysis history database.
Step 3: Build Platform Routing Logic
Not everyone analyzes both platforms every time.
Add a switch or router node that:
Detects which platforms the user selected
Sends data to:
Instagram scraping flow
TikTok scraping flow
Runs both in parallel if needed
This keeps your workflow fast, flexible, and scalable.
Step 4: Scrape Content From Platforms
Now the agent collects real data.
Use Apify’s Instagram scraper
Pass account URLs
Limit post count per account
TikTok
Use Apify’s TikTok scraper
Pass profile handles
Configure results per page
Important optimizations:
Increase memory allocation to 2048MB
Add a filter node to:
Keep only image posts
Ensure URLs are valid and accessible
Garbage in = garbage out. Filter early.
Step 5: Analyze Images With GPT-5 Vision
This is where the magic happens.
For each image URL:
Send it to GPT-5 Vision
Use a structured prompt to extract:
Color palette (3–5 hex codes)
Composition style
Mood / emotional tone
Text & typography elements
Return results in clean JSON, then attach:
Account name
Platform
Post metadata
Now each post becomes structured intelligence, not just content.
Step 6: Aggregate and Generate the Report
Individual insights are useful.
Patterns are powerful.
Use an aggregate node to:
Combine all image analysis results into one dataset
Send the dataset to GPT-5 with a competitive analysis prompt
Structure the final report into sections like:
Competitive matrix
Platform-specific patterns
Cross-platform insights
Clear recommended actions
This turns data into decisions.
Step 7: Log Everything to Google Sheets
Finally, make it trackable.
Append a new row for each run with:
Timestamp
Accounts analyzed
Platforms used
Total posts analyzed
AI-generated summary
Enable update mode so you can:
Track trends over time
Compare past vs current strategies
Build a living competitive dashboard
Why This Agent Is a Game-Changer
Most brands:
Scroll feeds
Take notes
Guess what works
This agent:
Sees patterns at scale
Uses AI vision, not opinions
Delivers repeatable insights
That’s how modern growth teams win.
Final CTA
If you’re serious about outperforming competitors on TikTok and Instagram, stop guessing.
Build this agent.
Automate your analysis.
Let GPT-5 show you why their content works—and how to beat it.
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