PPC Automation with ChatGPT and Claude: The Complete Guide (2025)
Automate your PPC campaigns using AI. Learn how to connect ChatGPT and Claude to your ad accounts for conversational PPC automation. Compare to traditional tools like Optmyzr.
PPC automation has traditionally meant complex rule-based systems, steep learning curves, and expensive software. In 2025, that changed.
With conversational AI, you can now automate your Google Ads, Meta Ads, and TikTok Ads campaigns by simply describing what you want in plain English. No scripts. No complex rule builders. Just conversation.
What you'll learn:
- What PPC automation actually means (and what it doesn't)
- How to connect ChatGPT and Claude to your ad accounts
- Conversational workflows that replace traditional automation
- Honest comparison with tools like Optmyzr
Ready to try conversational PPC automation? Adspirer connects ChatGPT and Claude to Google Ads, Meta Ads, and TikTok Ads. Create campaigns, analyze performance, and optimize spend through conversation. Try it free →
What is PPC Automation?
PPC automation refers to using software to handle repetitive advertising tasks that would otherwise require manual work. This includes:
| Automation Category | Traditional Tools | Conversational AI |
|---|---|---|
| Bid Management | Rule-based scripts | "Increase bids on keywords with ROAS > 400%" |
| Budget Allocation | Scheduled rules | "Move budget from underperforming campaigns" |
| Keyword Research | Separate tools | "Find keywords for plumbers in Austin" |
| Negative Keywords | Manual review | "Analyze search terms and suggest negatives" |
| Campaign Creation | 25+ clicks per campaign | "Create a PMAX campaign for my shoe store" |
| Performance Reporting | Dashboard exports | "Show me last week's performance" |
| Anomaly Detection | Alert configurations | "Flag anything unusual in my campaigns" |
The difference? Traditional tools require you to learn their interface, configure rules, and constantly maintain them. Conversational AI lets you describe what you want in plain English.
Setting Up Conversational PPC Automation
There are two paths: ChatGPT Apps and Claude Connectors. Both connect to your ad accounts through Adspirer's MCP server.
Option 1: ChatGPT Apps (For ChatGPT Users)
Requirements:
- ChatGPT Plus, Pro, or Teams subscription
- Google Ads, Meta Ads, or TikTok Ads account
Setup Steps:
- Open ChatGPT and go to Settings → Apps
- Search for "Adspirer"
- Click Connect and authorize
- Link your ad platform accounts (Google, Meta, TikTok)
- Start with: "Show me my campaign performance"
Time to setup: 2 minutes
Option 2: Claude Connectors (For Claude Users)
Requirements:
- Claude Pro or Teams subscription
- Google Ads, Meta Ads, or TikTok Ads account
Setup Steps:
- Open Claude and go to Settings → Connectors
- Find "Adspirer" in the directory
- Click Connect and authorize
- Link your ad platform accounts
- Test with: "Show me my Google Ads performance"
Time to setup: 2 minutes
How the MCP Server Works
Both ChatGPT and Claude connect to Adspirer's MCP (Model Context Protocol) server. This is what enables the AI to:
- Read your actual campaign data in real-time
- Execute actions like creating campaigns or pausing ads
- Research keywords with live CPC and volume data
The MCP server acts as a secure bridge between the AI and your ad accounts. Your credentials are never shared with OpenAI or Anthropic—they're stored securely on Adspirer's infrastructure.
Conversational PPC Automation Workflows
Here's what you can actually automate through conversation:
1. Campaign Creation
Traditional Way: Navigate to Google Ads → Click "New Campaign" → Select objective → Configure settings → Build ad groups → Write ad copy → Set targeting → Review → Launch. (15-30 minutes)
Conversational Way:
"Create a Google Ads search campaign for my plumbing business
in Austin. Budget $50/day. Target emergency plumbing searches.
Include ad copy for 24/7 service."
The AI creates the campaign structure, generates relevant keywords, writes ad copy, and sets up targeting—all from a single prompt.
2. Performance Analysis
Traditional Way: Export reports from each platform → Combine in spreadsheet → Calculate metrics → Identify issues → Go back to make changes.
Conversational Way:
"Show me my campaign performance for the last 7 days.
Highlight any campaigns with CPA above $30 or ROAS below 200%.
What's causing the issues?"
The AI pulls your data, identifies problems, and explains why they're happening—with specific recommendations.
3. Keyword Research
Traditional Way: Open Keyword Planner → Enter seed keywords → Export → Filter in spreadsheet → Manually organize.
Conversational Way:
"Research keywords for 'running shoes' with monthly volume
and CPC data. Focus on buyer-intent terms. Group by theme."
Real data. Organized output. No platform switching.
4. Negative Keyword Discovery
Traditional Way: Download search terms report → Scan thousands of rows → Identify irrelevant terms → Add one by one.
Conversational Way:
"Analyze my search terms from the last 30 days.
Find terms that indicate job seekers, DIY tutorials,
or irrelevant products. Suggest as negative keywords."
The AI can review thousands of search terms in seconds and understand the intent behind each one.
5. Wasted Spend Analysis
Traditional Way: Export data → Calculate spend by keyword/placement → Sort by cost → Cross-reference with conversions → Identify waste.
Conversational Way:
"Show me where I'm wasting money in my Google Ads.
Look for keywords or placements with spend but no conversions.
How much could I save by pausing them?"
6. Budget Optimization
Traditional Way: Review campaign performance → Calculate efficiency metrics → Manually adjust budgets across campaigns.
Conversational Way:
"I have $3,000/month for Google Ads. Based on last month's
performance, how should I allocate budget across my campaigns
to maximize conversions?"
Conversational AI vs Traditional PPC Tools
How does this compare to established PPC automation tools?
Comparison with Optmyzr
| Feature | Optmyzr | Conversational AI (Adspirer) |
|---|---|---|
| Setup Time | Hours to configure | 2 minutes |
| Learning Curve | Weeks to master | None |
| Bid Automation | Rule-based scripts | Natural language |
| Budget Rules | Pre-defined conditions | Describe what you want |
| Reporting | Dashboard + exports | Ask any question |
| Keyword Research | Separate tool | Built into conversation |
| Multi-Platform | Google Ads focused | Google, Meta, TikTok |
| Pricing | $208-$958/month | Starts free |
| Customization | Extensive rules builder | Just describe your needs |
When to use Optmyzr:
- You need automated rules running 24/7 without prompting
- You have complex, multi-condition automation sequences
- You want pre-built optimization strategies
When to use Conversational AI:
- You want immediate answers without learning new software
- You prefer describing what you want vs configuring rules
- You manage ads across Google, Meta, and TikTok
- Budget is a concern
What Conversational AI Does Better
1. Zero Learning Curve
Optmyzr, Adalysis, WordStream—they all require learning their specific interfaces, understanding their rule syntax, and configuring their systems. Conversational AI requires knowing how to describe what you want.
2. Cross-Platform by Default
Most traditional tools specialize in one platform. Conversational AI through Adspirer handles Google Ads, Meta Ads, and TikTok Ads in the same conversation.
3. Ad-Hoc Questions
Traditional tools answer the questions they're designed to answer. AI answers whatever you ask:
- "Why did my CTR drop on Tuesday?"
- "Which landing page has the best conversion rate?"
- "Compare my brand vs non-brand campaign performance"
4. Strategy + Execution Combined
Traditional tools execute. ChatGPT and Claude think. Ask for recommendations, get the reasoning, then execute—all in one conversation.
What Traditional Tools Do Better
1. Scheduled Automation
If you need rules running automatically (pause keywords when CPA exceeds $X), traditional tools are better suited today. Conversational AI requires you to initiate the conversation.
2. Complex Multi-Step Rules
"If ROAS < 200% AND spend > $100 AND days since last conversion > 3 THEN decrease bid by 15%" — this kind of complex conditional logic is easier in dedicated tools.
3. Bulk Operations
Changing 500 bids at once with specific conditions is faster in traditional tools with bulk editing features.
Real Example: Full Automation Workflow
Here's a complete PPC automation workflow using conversational AI:
Morning Check (1 minute):
"Give me a quick summary of yesterday's ad performance
across all platforms. Any anomalies or concerns?"
Weekly Optimization (5 minutes):
"Analyze my Google Ads search terms from the last 7 days.
Find wasted spend and suggest negative keywords.
Then show me keywords that could use bid increases
based on strong performance."
Monthly Planning (10 minutes):
"Based on last month's performance, recommend budget
allocation changes for next month. Show me which campaigns
deserve more budget and which should be reduced."
Campaign Launch (2 minutes):
"Create a new Performance Max campaign for my Valentine's Day
sale. Use the assets from my landing page. Budget $75/day.
Target US, ages 25-45, interested in gifts."
Total time: 18 minutes of actual work, spread throughout the month.
Current Capabilities and Limitations
What Adspirer Can Do Today
| Capability | Google Ads | Meta Ads | TikTok Ads |
|---|---|---|---|
| Campaign Creation | ✓ | ✓ | ✓ |
| Performance Analysis | ✓ | ✓ | ✓ |
| Keyword Research | ✓ | — | — |
| Search Term Analysis | ✓ | — | — |
| Wasted Spend Detection | ✓ | ✓ | ✓ |
| Budget Recommendations | ✓ | ✓ | ✓ |
| Anomaly Detection | ✓ | ✓ | ✓ |
Limitations to Know
No real-time bid adjustments: Conversational AI doesn't continuously monitor and adjust bids. It responds when you ask.
No scheduled automations: You can't set it to "run this analysis every Monday." You initiate each conversation.
No image/video creation: AI can write ad copy but can't generate creative assets (though Canva integration helps here).
Requires prompting: Unlike rule-based tools that run automatically, you need to start the conversation.
Getting Started
For ChatGPT Users
- Go to ChatGPT Settings → Apps
- Search "Adspirer" and connect
- Try: "Show me my Google Ads campaign performance for the last 7 days"
For Claude Users
- Go to Claude Settings → Connectors
- Find "Adspirer" and connect
- Try: "Analyze my Google Ads account and suggest optimizations"
First Prompts to Try
Performance Overview:
"Show me my campaign performance for the last 30 days.
Include spend, conversions, CPA, and ROAS for each campaign."
Keyword Research:
"Research keywords for [your product/service] with monthly
search volume and CPC estimates. Focus on buyer intent."
Wasted Spend:
"Find keywords or placements where I'm spending money
but not getting conversions. How much could I save?"
Campaign Creation:
"Create a search campaign for [your business] targeting
[location]. Budget [amount]/day. Goal: [conversions/calls]."
FAQ
Is conversational PPC automation secure?
Yes. Adspirer uses OAuth for authentication—your credentials are never shared with OpenAI or Anthropic. You can revoke access anytime from your Google/Meta/TikTok account settings.
Do I need to be technical?
No. If you can describe what you want in plain English, you can use conversational PPC automation.
Can this replace my PPC manager?
It's a tool, not a replacement. It handles execution and analysis faster than manual work, but strategic thinking and business context still come from humans.
Which is better—ChatGPT or Claude?
Both work well. Claude is slightly better at detailed analysis. ChatGPT is faster at generating creative variations. Try both and see which fits your workflow.
What if I already use Optmyzr?
You can use both. Conversational AI is great for ad-hoc analysis and quick tasks. Optmyzr is better for complex scheduled automation. They complement each other.
Conclusion
PPC automation is evolving from rule-based systems to conversational interfaces. Instead of configuring complex scripts, you describe what you want. Instead of learning new software, you talk to AI you already know.
What's changed:
- Setup went from hours to 2 minutes
- Learning curve went from weeks to zero
- Multi-platform management became simple
- Analysis became conversational
What hasn't changed:
- You still need strategy
- You still need to understand your business
- Automation amplifies competence (good or bad)
The best PPC managers will use conversational AI as a force multiplier—handling execution at scale while they focus on strategy.
Ready to try conversational PPC automation? Connect ChatGPT or Claude to your ad accounts in 2 minutes. Get started free →