# Buffer vs Zoho Social: which do AI models recommend for social media, October 2026

GTM AI Recommendation Index, October 2026 Edition, Social media management. Zero of fourteen models named Buffer first on the direct prompt; zero named Zoho Social. Page: https://gtm-ai-index.com/marketing/social-media-management/buffer-vs-zoho-social/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Buffer | 24% | #2 of 11 | 21% | 48 | 14 of 14 |
| Zoho Social | 2% | #7 of 11 | 5% | 20 | 12 of 14 |

## The direct prompt, model by model

- Claude Haiku 4.5: neither named (first choices: Sprout Social) (alternatives: DemandBird, Hootsuite, Metricool)
- GPT-5.4 mini: neither named (first choices: Agorapulse) (alternatives: Hootsuite, Sprout Social)
- Gemini 3.5 Flash: neither named (first choices: Oktopost) (alternatives: Agorapulse, HubSpot Social)
- Perplexity Sonar: neither named (first choices: Sprout Social) (alternatives: Hootsuite, Oktopost, SocialPilot, Sprinklr Social)
- Grok 4.1 Fast: neither named (first choices: Oktopost) (alternatives: Agorapulse, Hootsuite, Sprout Social)
- Mistral Small: neither named (first choices: Sprout Social) (alternatives: Hootsuite, Oktopost)
- DeepSeek V4 Flash: neither named (first choices: Oktopost) (alternatives: Agorapulse, Sprout Social)
- Llama 4 Maverick: neither named (first choices: Oktopost) (alternatives: SocialPilot)
- Qwen 3.7 Flash: neither named (first choices: Sprout Social) (alternatives: Agorapulse, Oktopost)
- Kimi K2: neither named (first choices: Oktopost) (alternatives: Hootsuite, Sprout Social)
- GLM 4.7 FlashX: neither named (first choices: Sprout Social) (alternatives: Agorapulse, Hootsuite, HubSpot Social, Oktopost)
- MiniMax M2.5: neither named (first choices: Sprout Social) (alternatives: Oktopost, SocialPilot, Sprinklr Social)
- GPT-6 Luna: neither named (first choices: Oktopost) (alternatives: Hootsuite, Sprout Social)
- Muse Glimmer 30B: neither named (first choices: Oktopost) (alternatives: Agorapulse, Hootsuite, Metricool, Sprout Social)

## What the models said about Buffer

- "Reports of security concerns ... unauthorized charges post-cancellation, and frequent post failures" (Grok 4.1 Fast, negative prompt, hard negative)
- "Buffer's public incident history shows multiple disruptions in 2025–2026, including duplicate scheduled posts" (GPT-5.4 mini, negative prompt, soft negative)
- "Posts occasionally fail to publish despite appearing scheduled... power users often outgrow it quickly" (Qwen 3.7 Flash, negative prompt, soft negative)
- "For most small companies just starting out, Buffer or Metricool provide the best combination of ease-of-use, essential features, and low cost." (Qwen 3.7 Flash, budget prompt, first choice)
- "Best overall value: Buffer offers a robust free plan and affordable per-channel pricing ($6 per month), making it the top choice for small teams." (Muse Glimmer 30B, budget prompt, first choice)
- "Buffer is the best all-around choice because it offers a free plan and low-cost paid plans starting at $6 per month per channel" (Perplexity Sonar, budget prompt, first choice)

## What the models said about Zoho Social

- "Main issue: Customer service complaints dominate negative reviews" (Qwen 3.7 Flash, negative prompt, soft negative)
- "Tools like Zoho Social, SocialPilot, Agorapulse, and Metricool are frequently cited as offering better value with fewer hidden costs" (DeepSeek V4 Flash, negative prompt, first choice)
- "Zoho Social is one of the most affordable options, with a limited free plan and paid plans starting at $10 per month" (Claude Haiku 4.5, budget prompt, first choice)
- "strong value for small businesses, with plans starting at $10 per month for 9 social channels" (Perplexity Sonar, budget prompt, alternative)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.