# Agility PR Solutions vs Google Alerts: which do AI models recommend for PR, October 2026

GTM AI Recommendation Index, October 2026 Edition, PR and media monitoring. Three of fourteen models named Agility PR Solutions first on the direct prompt; zero named Google Alerts. Page: https://gtm-ai-index.com/marketing/pr-and-media-monitoring/agility-pr-solutions-vs-google-alerts/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Agility PR Solutions | 11% | #5 of 13 | 12% | 25 | 12 of 14 |
| Google Alerts | 4% | #8 of 13 | 17% | 18 | 10 of 14 |

## The direct prompt, model by model

- Claude Haiku 4.5: agility pr solutions first (first choices: Agility PR Solutions) (alternatives: Brand24, Mention, Muck Rack)
- Llama 4 Maverick: agility pr solutions first (first choices: Agility PR Solutions) (alternatives: Brand24, Mention, Semrush AI PR Toolkit)
- Qwen 3.7 Flash: agility pr solutions first (first choices: Agility PR Solutions) (alternatives: Meltwater, Muck Rack)
- Mistral Small: neither first, one named (first choices: Muck Rack) (alternatives: Agility PR Solutions, Semrush)
- Kimi K2: neither first, one named (first choices: Semrush AI PR Toolkit) (alternatives: Agility PR Solutions, Prezly)
- MiniMax M2.5: neither first, one named (first choices: Brand24, Muck Rack) (alternatives: Agility PR Solutions)
- Muse Glimmer 30B: neither first, one named (first choices: Meltwater) (alternatives: Agility PR Solutions, Cision One, Muck Rack, Semrush AI PR Toolkit)
- GPT-5.4 mini: neither named (first choices: Muck Rack) (alternatives: CisionOne, Meltwater)
- Gemini 3.5 Flash: neither named (first choices: Muck Rack) (alternatives: Meltwater, Semrush AI PR Toolkit)
- Perplexity Sonar: neither named (first choices: Muck Rack) (alternatives: Meltwater, Semrush AI PR Toolkit)
- Grok 4.1 Fast: neither named (first choices: Brand24) (alternatives: Mention, Muck Rack)
- DeepSeek V4 Flash: neither named (first choices: Muck Rack) (alternatives: Brand24, Meltwater, Semrush AI PR Toolkit)
- GLM 4.7 FlashX: neither named (first choices: Muck Rack) (alternatives: Onclusive, Prezly, Semrush, Semrush AI PR Toolkit)
- GPT-6 Luna: neither named (first choices: Muck Rack) (alternatives: Meltwater)

## What the models said about Agility PR Solutions

- "users warn that you get what you pay for... Low Data Quality" (Gemini 3.5 Flash, negative prompt, hard negative)
- "Some platforms (like Agility PR) restrict exporting contact data for "GDPR compliance," locking your work inside their system" (Kimi K2, negative prompt, soft negative)
- "Expensive; occasional data lags; limited advanced analytics" (DeepSeek V4 Flash, negative prompt, soft negative)
- "Muck Rack and Agility PR Solutions - strong for mid-sized PR teams, online + print monitoring, PR CRM and outreach in one." (Muse Glimmer 30B, scale prompt, first choice)
- "Agility PR Solutions has emerged as the strongest all-around choice specifically for mid-market B2B companies" (Qwen 3.7 Flash, direct prompt, first choice)
- "If you want an all-in-one platform built for mid-market teams, Agility PR is your best bet." (Claude Haiku 4.5, direct prompt, first choice)

## What the models said about Google Alerts

- "Avoid free/low-tier options like Google Alerts for anything beyond casual use—they miss depth" (Grok 4.1 Fast, negative prompt, hard negative)
- "While free, Google Alerts is generally considered too basic for professional PR monitoring." (GLM 4.7 FlashX, negative prompt, hard negative)
- "basic tools (like Google Alerts and Excel sheets) aren't robust enough" (Gemini 3.5 Flash, paraphrase prompt, soft negative)
- "the best starting point is often free or very low-cost tools like Google Alerts... Test Google Alerts first." (Grok 4.1 Fast, budget prompt, first choice)

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.