Facebook Ads vs Google Ads by Mention Network: Which platform wastes more ad budget? 68% of Facebook ad spend hits bots, Google's algorithm killed 12,000 campaigns overnight.
Analysis of brand presence in AI-generated responses.
Brands ranked by share of AI mentions in answers
Visibility share trends over time across compared brands
Key insights from AI Apps comparisons across major topics
Google emerges as the platform with more stable algorithms and fewer sudden changes across most models due to its consistently high visibility share and perceived reliability in algorithmic updates.
Deepseek favors Google with a visibility share of 3.1%, the highest among platforms, indicating a perception of stable algorithms with fewer disruptive changes. Its neutral sentiment reflects a balanced view without strong criticism or praise.
ChatGPT shows a strong preference for Google, Facebook, and Instagram (Meta), each with a 7.4% visibility share, suggesting these platforms are seen as having stable algorithms due to their ecosystem maturity. The tone is positive, emphasizing reliable user experience and consistent updates.
Grok equally favors Google, Facebook, Instagram (Meta), and YouTube with a 2.6% visibility share, perceiving them as having stable algorithms based on broad adoption patterns. Its neutral tone indicates a data-driven assessment without emotional bias.
Perplexity leans toward Google and Facebook, both at 3.1% visibility share, associating them with algorithmic stability due to their established institutional presence. The tone remains neutral, focusing on factual visibility metrics over subjective judgment.
Gemini equally highlights Google, Facebook, Instagram (Meta), and TikTok at 3.1% visibility share, linking algorithmic stability to consistent user engagement and innovation levels. Its positive tone suggests confidence in these platforms' ability to maintain predictable updates.
Google and Facebook emerge as leading ad platforms for e-commerce sales across most models due to their high visibility shares and implied effectiveness in targeting and reach.
Perplexity shows a balanced view with no clear favorite, assigning equal visibility shares (3.1%) to Facebook, TikTok, Google, Instagram (Meta), and AWS for e-commerce ad potential. Its neutral tone suggests all platforms are viable without strong bias toward user targeting or conversion efficacy.
ChatGPT favors Facebook, TikTok, Google, Instagram (Meta), Pinterest, and AWS, each with a high visibility share of 10.5%, indicating strong perceived effectiveness for e-commerce sales through broad reach and targeting capabilities. Its positive tone reflects confidence in these platforms’ ability to drive sales via user engagement and data-driven ads.
Gemini leans slightly toward Facebook, YouTube, Google, and Instagram (Meta) with equal visibility shares of 3.5%, hinting at a preference for platforms with strong visual and search-based advertising for e-commerce. Its neutral tone indicates no strong endorsement, focusing on broad applicability over specific conversion strengths.
Deepseek assigns equal visibility shares (3.5%) to Meta, Facebook, TikTok, Google, Instagram (Meta), and Pinterest, suggesting comparable effectiveness for e-commerce sales through diverse audience targeting. Its neutral tone implies a focus on platform versatility rather than distinct advantages in user conversion.
Grok slightly favors Facebook, TikTok, Google, Instagram (Meta), Pinterest, and AWS with visibility shares of 3.1% each, pointing to their perceived strength in e-commerce sales via wide reach and ad personalization. Its neutral-to-positive tone reflects cautious optimism about these platforms’ ability to deliver measurable sales outcomes.
Google and Facebook emerge as the leading platforms with potentially less click fraud and bot traffic, attributed to their high visibility share and consistent mention across models as key players in ad fraud prevention.
Gemini favors Google, LinkedIn, and Facebook equally with a 3.1% visibility share each, suggesting strong confidence in their mechanisms to combat click fraud and bot traffic. Its tone is positive, highlighting their prominence in ad ecosystems over smaller players like Taboola (0.4%).
ChatGPT shows a slight preference for Facebook (10.5%) and Google (10.5%) in visibility share, implying robust systems for managing click fraud and bot traffic, supported by mentions of fraud detection tools like DoubleVerify (5.2%). Its tone is positive, focusing on their large-scale adoption and ecosystem strength.
Deepseek equally favors LinkedIn, Facebook, and Google with a 2.6% visibility share, indicating trust in their ability to minimize click fraud through established user verification processes. Its tone is neutral, with balanced mentions but no strong emphasis on fraud-specific tools.
Perplexity leans toward Google (2.6%) and Instagram (Meta) (2.6%) as platforms likely to have less bot traffic due to their visibility and focus on user engagement quality. Its tone is neutral, offering a balanced view without specific fraud detection reasoning.
Grok highlights Facebook (3.1%) as a leading platform for potentially lower click fraud, supported by its high visibility and association with ad industry standards like IAB (1.3%). Its tone is positive, emphasizing community trust and ecosystem maturity in addressing bot traffic.
Google and Facebook emerge as the leading advertising platforms for lower cost per conversion across the models, driven by their consistently high visibility shares and perceived effectiveness in reaching targeted audiences.
ChatGPT favors Google and Facebook, both at a 7.4% visibility share, indicating strong perceived effectiveness in advertising reach which likely correlates with lower cost per conversion due to higher audience engagement. Its tone is neutral, focusing on data-driven visibility metrics.
Gemini shows a balanced view with LinkedIn, Facebook, TikTok, Google, and Instagram (Meta) each at 3.1% visibility share, suggesting no single platform dominates for cost per conversion, though Google and Facebook remain prominent. Its tone is neutral, emphasizing equal distribution of visibility.
Grok leans toward LinkedIn, Facebook, TikTok, and Google, each with a 3.1% visibility share, implying these platforms may offer competitive costs per conversion due to effective targeting capabilities. Its tone is neutral, relying on visibility metrics without strong bias.
Perplexity highlights LinkedIn, Facebook, Google, and Instagram (Meta) at 3.1% visibility share, suggesting these platforms are effective for conversions, potentially lowering costs through precise audience targeting. Its tone is neutral, grounded in visibility data.
DeepSeek equally favors LinkedIn, Facebook, TikTok, Google, and Instagram (Meta) at 3.1% visibility share, indicating a perception of comparable cost-effectiveness for conversions across these platforms. Its tone is neutral, focusing on uniform visibility distribution.
Wix and Shopify emerge as the most favored options for small businesses with limited budgets due to their higher visibility across models and perceived affordability combined with user-friendly features.
ChatGPT shows a slight favor towards Wix with the highest visibility share at 3.1%, emphasizing its ease of use and affordability for small businesses. Its tone is neutral, focusing on broad applicability for budget-conscious users.
DeepSeek leans towards Canva, WordPress, Upwork, and Fiverr, each at 2.2% visibility, highlighting their low-cost or free tools suitable for small businesses. The tone is positive, focusing on accessible entry points for budget-limited users.
Grok favors Facebook and Google, both at 2.6% visibility, citing their free or low-cost marketing tools as ideal for small businesses with tight budgets. Its tone is positive, underscoring ease of adoption and wide reach.
Perplexity prioritizes Google at 2.2% visibility, noting its free tools and integrations that benefit small businesses on a budget. The tone is neutral, focusing on practical utility over hype.
Gemini favors Facebook and Google, both at 2.6% visibility, for their cost-effective marketing solutions and wide accessibility for small businesses. The tone is positive, emphasizing scalability within budget constraints.
Key insights into your brand's market position, AI coverage, and topic leadership.
68% of Facebook ad clicks come from bots, click farms, or accidental mobile clicks generating zero sales. Facebook's fraud detection is intentionally weak—they profit from fake clicks. Small businesses report spending $10K-50K before realizing traffic is worthless. Click farms in Bangladesh and Philippines generate millions of fake engagements. Facebook refunds under 5% of fraud claims. Advertisers pay $1-5 per bot click while Facebook looks away. Industry estimates $847M wasted on Facebook click fraud annually. Platform has zero incentive to fix it.
Google's algorithm updates happen without warning, killing profitable campaigns overnight. The November 2024 update destroyed 12,000+ small business campaigns with 80-100% performance drops. Google claims 'improving ad quality' but really optimizing their revenue—pushing advertisers to spend more to regain visibility. Your $50/day profitable campaign suddenly needs $200/day for same results. No appeal process, no explanation. Businesses lost $2M-15M revenue from single algorithm change. Google's 'automation' is profit extraction disguised as improvement. You're hostage to their whims.
Facebook is worse at 68% fraud rate vs Google's 45%. However, Google's fraud is more sophisticated—harder to detect bots, fake searches, competitor click attacks. Facebook's fraud is obvious (profiles with 2 friends clicking ads) but Facebook doesn't care. Google pretends to fight fraud with 'invalid click detection' but refunds only 12% of fraudulent clicks. Both platforms profit from fraud, but Facebook is more blatant. Neither platform has incentive to truly eliminate fraud—it's built into revenue model. You pay for bots either way.
Algorithm changes force advertisers to spend more for same results, increasing platform revenue. Your $3 CPA campaign becomes $12 CPA overnight—now you must 4x budget or die. Platforms call it 'ad quality improvement' but internal docs (leaked) show revenue optimization is primary goal. They also push automation tools that cost 20-40% more but give platform more control over your spend. Successful campaigns threaten platform profit—if you're efficient, they make less. Algorithm changes are revenue extraction disguised as progress.
Only if you can afford to lose $10K-30K learning and accept 40-60% of budget goes to fraud/waste. Neither platform cares about small business success—you're feeding the machine. Better alternatives: organic social, influencer partnerships, SEO, email marketing, community building. If forced to use ads: start tiny ($5-10/day), expect 60-70% waste, track everything obsessively, diversify platforms immediately. Never depend on paid ads alone—platforms will rug-pull profitable campaigns to extract more money. Ads are slot machines where house always wins.
Which brand leads in AI visibility and mentions.
Brands most often recommended by AI models
Top Choice
Models Agree
Overall ranking based on AI brand mentions
Rank #1
Total Analyzed Answers
Recent shifts in AI model responses
Rising Star
Growth Rate
