how to improve ROAS in Meta ads
AI Search Visibility Analysis
Analyze how brands appear across multiple AI search platforms for a specific query
Total Mentions
Total number of times a brand appears
across all AI platforms for this query
Platform Presence
Number of AI platforms where the brand
was mentioned for this query
Linkbacks
Number of times brand website was
linked in AI responses
Sentiment
Overall emotional tone when brand is
mentioned (Positive/Neutral/Negative)
Brand Performance Across AI Platforms
| BRAND | TOTAL MENTIONS | PLATFORM PRESENCE | LINKBACKS | SENTIMENT | SCORE |
|---|---|---|---|---|---|
1Meta | 28 | 0 | 95 | ||
2Vendasta | 2 | 2 | 59 | ||
3Shopify | 1 | 2 | 57 | ||
4Databox | 1 | 1 | 55 |
Strategic Insights & Recommendations
Dominant Brand
Meta (Facebook) dominates all responses as the primary advertising platform, with consistent recommendations for using its native tools and features.
Platform Gap
ChatGPT provides the most comprehensive technical implementation details, while Google AIO emphasizes Advantage+ Shopping Campaigns, and Perplexity focuses on specific performance metrics and automation benefits.
Link Opportunity
All platforms reference third-party marketing agencies and tools, creating opportunities for partnerships with companies like Vendasta, Databox, and specialized Meta advertising consultants.
Key Takeaways for This Query
Audience targeting refinement through lookalike audiences and retargeting is universally recommended across all platforms for improving ROAS.
Creative testing and optimization, including A/B testing different formats and messaging, is essential for maintaining engagement and preventing ad fatigue.
Landing page optimization, particularly mobile-friendliness and streamlined checkout processes, directly impacts conversion rates and ROAS.
Meta's native automation tools like Advantage+ Shopping Campaigns and Advantage Creative can reduce costs and improve performance when properly implemented.
AI Search Engine Responses
Compare how different AI search engines respond to this query
ChatGPT
BRAND (1)
SUMMARY
ChatGPT provides a comprehensive 9-step strategy for improving Meta ads ROAS, covering audience segmentation, lookalike audiences, dynamic ads, creative optimization, A/B testing, landing page optimization, Facebook Pixel implementation, bidding strategies, and performance monitoring. The response emphasizes data-driven optimization and continuous testing across all campaign elements.
REFERENCES (8)
Perplexity
BRAND (3)
SUMMARY
Perplexity outlines 7 expert strategies for improving Meta ads ROAS, emphasizing creative testing, targeted audience optimization, landing page optimization, automation tools like Advantage Creative, strategic scaling, first-party data utilization, and continuous monitoring. The response highlights specific tactics like reducing cost per result by 3% through automation.
REFERENCES (6)
Google AIO
BRAND (4)
SUMMARY
Google AIO focuses on four key areas for ROAS improvement: refined targeting (lookalike audiences, retargeting, custom audiences), compelling creatives (testing formats, clear value propositions, strong visuals), optimized landing pages (mobile-friendly, relevant content, streamlined checkout), and smart bidding strategies (value-based, cost cap, automatic bidding with Advantage+ Shopping Campaigns).
REFERENCES (25)
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