Campaigns help you improve your brand’s visibility across AI search and answer engines by tracking whether your brand is mentioned in AI-generated responses for the prompts that matter to your business.
A campaign starts by analyzing how often your brand appears in responses across supported AI models. It then generates a content plan based on the sources those models cite, so you can order placements that improve your visibility over time.
What Campaigns Do
Campaigns are built to help you:
Track your brand’s visibility across major AI models
Monitor which prompts mention your brand and which do not
See where your brand appears in AI responses
Identify the sources AI models cite for your target topics
Turn those citation patterns into a content and placement plan
Step 1: Create a Campaign
To create a campaign, enter:
Your landing page URL
Your brand name
The landing page is the page you want to promote. The brand name is the name the system tracks in the visibility report.
After you enter your landing page and brand name, the system generates a list of suggested prompts based on commercial queries related to your page.
These prompts are used to track whether your brand appears in AI responses.
You can:
Use the suggested prompts
Remove prompts you do not want to track
Add your own custom prompts
Custom prompts let you track visibility for the exact questions and commercial searches that matter to your business.
Campaigns analyze your prompts across 6 AI models:
Gemini
AI Overviews
Google AI Mode
Claude
Perplexity
ChatGPT
You can choose which models to include in the analysis.
Step 2: Run the Analysis
Once your landing page, brand name, prompts, and AI models are selected, the campaign is ready to run.
The system then analyzes your selected prompts across the selected AI models and generates an AI visibility report.
Analysis typically takes 15 to 24 minutes.
You do not need to stay on the page while the analysis runs. You can leave and come back later.
Your visibility report shows how your brand appears across AI responses for each tracked prompt.
This includes:
Visibility Score
Visibility Score Rank
Average Position
Total Citations
Unique cited sources
Model-by-model performance
Prompt-level response breakdowns
Visibility Score shows the percentage of analyzed responses where your brand was mentioned.
Example: If your brand appears in 6 out of 35 responses, your Visibility Score is 20%.
Visibility Score Rank shows how your brand compares against other brands tracked for the same prompt set.
Average Position shows where your brand tends to appear in responses when it is mentioned.
Total Citations shows how many cited sources appeared across the analyzed AI responses.
This helps identify the publications and pages AI models rely on most for your target topics.
The report also breaks down visibility by AI model so you can see where your brand performs best and where visibility is weak.
This helps you understand whether your brand is being picked up consistently across models or only appearing in certain environments.
Each prompt includes a full breakdown of AI responses by model.
For each prompt, you can review:
Whether your brand was mentioned
The full AI response
Which models mentioned your brand
Which models did not
The sources cited in those responses
This helps you identify the exact topics where your brand has visibility gaps.
Step 3: Generate the Action Plan
After the visibility report is complete, the campaign generates an action plan.
The action plan turns AI citation patterns into a placement strategy.
The action plan includes:
Recommended article orders based on cited publications and topics
A content plan for each prompt
The number of articles recommended
Quality tier distribution
Estimated total investment
Monthly budget planning
Estimated timeline to complete the campaign
The goal is to place content on publications and around topics that are already being cited by AI models for your target prompts.
For each prompt, the system recommends article orders designed to mirror the types of publications and content themes that appear in AI citations.
This means the plan is based on:
Publications similar to the ones cited by AI models
Topics that repeatedly appear in cited responses
Content formats that perform well for your target queries
Before launching the campaign, you can set your monthly budget.
Your monthly budget controls:
How many articles can be ordered each month
How quickly the full content plan is completed
The overall campaign timeline
Higher monthly budgets shorten the timeline. Lower monthly budgets spread the plan over a longer period.
The full plan investment shows the total estimated cost to complete the entire campaign.
This includes the full recommended article count across all prompts.
The timeline shows how long it will take to complete the content plan based on your selected monthly budget.
Campaigns support two execution modes.
Automatic mode is hands-off.
Orders are automatically submitted and published without manual approval.
Choose Automatic if you want the campaign to run continuously based on your selected budget and plan.
Manual mode gives you full review control.
Orders are saved as drafts for you to review and submit manually.
Choose Manual if you want to approve each order before it is placed.
Best Practices
To get the best results from Campaigns:
Use a landing page tied to a clear commercial topic
Use your exact brand name
Keep prompts focused on high-intent commercial searches
Add custom prompts for your most important categories and use cases
Review prompt-level results to identify where visibility is weakest
Set a realistic monthly budget based on the full plan size
Use Manual mode if you want to review every order before submission
Summary
Campaigns help you measure and improve your AI visibility.
They start by tracking whether your brand appears across selected prompts and AI models. They then convert citation data into a content and placement plan designed to increase your brand’s presence in future AI responses.