# GetMint vs Groq

GetMint records 18,402 monthly visits with -10.7% month-over-month growth and Contact for Pricing pricing. Groq records 3,987,936 monthly visits with +10% growth and Paid pricing.

| Metric | [GetMint](https://openaitools.app/tool/getmint) | [Groq](https://openaitools.app/tool/groq) |
| :--- | :--- | :--- |
| Website URL | https://www.getmint.ai | https://groq.com |
| Categories | AI SEO Tools, AI Marketing, AI Digital Marketing, AI Monitor | AI API, Large Language Models (LLMs), Open Source AI Models |
| Pricing Model | Contact for Pricing | Paid |
| Monthly Visits | 18,402 | 3,987,936 |
| MoM Growth Rate | -10.7% | +10% |
| Primary Market | France | India |
| Direct Visits | 7,386 | 1,702,515 |
| Review Score | 4.4 | 4.7 |
| Saved Count | 0 | 4 |
| Supported Platforms | Website | Website |

## GetMint

GetMint addresses a problem most brands only recently started measuring: buyers increasingly ask an AI assistant for a recommendation instead of scanning ten blue links. GetMint runs what the company calls the full AI search loop. In the measure stage it tracks brand citations, sentiment, and share of voice across major models and AI answer surfaces, maps which sources those engines actually pull from, and surfaces the prompts and topics where competitors appear and you do not.

In the strategize stage, an AI Search agent and GetMint's in-house AI Search strategists turn those signals into a roadmap: which prompts to target, what content to build, and where to publish it. In the grow stage, the Content Studio generates briefs and AI-ready articles, and the platform supports publishing to owned pages as well as earned placements on the sources LLMs tend to trust. An AI Shopping radar extends tracking to product and purchase-intent queries in ChatGPT Shopping and similar environments.

GetMint positions itself as a single workspace rather than a patchwork of monitoring and content tools, and emphasizes measurement rigor: it says its research team includes a PhD mathematician and that scores are delivered with margin-of-error context. Pricing is quote-based for two tiers, Advanced and Enterprise & Agency, both sized by brands, markets, and goals during a sales call, with a typical 12-month commitment.

**Pricing & Plans:** Pricing is not published as self-serve tiers. GetMint lists two quote-based plans, Advanced and Enterprise & Agency, each sized to your brands, markets, and goals on a sales call. The Advanced plan includes 300+ tracked prompts, 5 topics, unlimited users, 10 contents, and 3,500 monthly credits across 3 AI models, while Enterprise & Agency adds custom prompts and topics, API access, a dedicated AI Search strategist, role-based access control, and custom workflows. Commitment is typically 12 months.

- **AI Search Visibility Tracking:** Monitor where and how often your brand is cited across ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews, with sentiment and share-of-voice scoring per engine.
- **Sources Explorer and Content Gaps:** See exactly which sources AI engines cite in your category and identify the prompts and topics where competitors win and you are absent.
- **AI Search Agent and Content Studio:** Convert visibility insights into an action plan, then generate briefs and AI-ready articles designed to earn mentions and publish to owned or earned outlets.
- **AI Shopping and Ads Radar:** Extend monitoring to product and purchase-intent queries in AI shopping surfaces such as ChatGPT Shopping, and act on emerging ad inventory. (Enterprise tier)
- **Multi-Market Analysis and Expert Support:** Track multiple countries and brands, with a dedicated strategist, onboarding, and skill sharing via API and MCP so teams can eventually run insights independently.

**Strengths:** Combines monitoring, planning, and content production in one workspace rather than three separate tools; Covers a wide engine set including ChatGPT, Gemini, Perplexity, Claude, AI Overviews, and AI shopping surfaces; Provides competitor analysis, sentiment, and content-gap views alongside raw citation tracking; Includes human AI Search strategists and a road-to-autonomy program with API and MCP skill sharing

**Limitations:** No public self-serve pricing; both plans are quote-based and require a sales call; Typical 12-month commitment may not suit teams wanting short trials; Content generation volume is credit-limited even on the entry Advanced plan; Built for enterprise brands and agencies, so it may be oversized and costly for small businesses

[Profile (Markdown)](https://openaitools.app/tool/getmint.md)

## Groq

Groq is an AI inference cloud that runs large language models and other AI models at exceptionally low latency. Instead of designing chips for training, Groq built custom silicon called the LPU, now joined by LPX, optimized specifically for inference, the stage where models actually serve users. The company positions itself as a 'neocloud' for fast inference and combines that hardware with a software stack and developer APIs.

Developers access Groq through an API that hosts popular open models such as Llama, Mixtral, Gemma, and Whisper speech models, along with text-to-speech capabilities. Because the platform is tuned for speed, it is often used for real-time chat, agents, and voice interfaces where response time matters. The API is broadly compatible with common OpenAI-style request formats, which lowers the cost of switching.

Groq has scaled aggressively, announcing a $350 million Series A and building hundreds of megawatts of inference capacity. It highlights reliability and cost alongside speed, arguing that fast and affordable no longer need to be a tradeoff for teams running AI workloads in production.

**Pricing & Plans:** Paid, usage-based inference API. Groq charges per token for hosted models, with free developer tiers and enterprise capacity options; check the official pricing page for current rates.

- **LPU and LPX inference hardware:** Custom accelerators designed specifically for inference rather than training, tuned for very low latency.
- **Open model catalog:** Hosted access to popular open models including Llama, Mixtral, Gemma, and Whisper speech models.
- **Fast developer API:** An API broadly compatible with common OpenAI-style request formats for quick integration.
- **Speech and audio models:** Automatic speech recognition with Whisper plus text-to-speech capabilities for voice applications.
- **Scales for production:** Capacity built for high-volume production workloads with an emphasis on reliability and cost.

**Strengths:** Very fast inference latency for real-time applications; Broad catalog of popular open-source models; OpenAI-compatible API reduces migration effort; Managed cloud removes the need to run your own GPUs

**Limitations:** Focus is inference only, not model training; Pricing is usage-based, so costs scale with traffic; Availability and model selection depend on the hosted catalog

[Profile (Markdown)](https://openaitools.app/tool/groq.md)

## Frequently Asked Questions

### How do GetMint and Groq compare in monthly traffic?

GetMint has 18,402 monthly visits, while Groq has 3,987,936. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

GetMint has a month-over-month growth rate of -10.7%; Groq has +10%.

### How does pricing compare?

GetMint: Contact for Pricing. Pricing is not published as self-serve tiers. GetMint lists two quote-based plans, Advanced and Enterprise & Agency, each sized to your brands, markets, and goals on a sales call. The Advanced plan includes 300+ tracked prompts, 5 topics, unlimited users, 10 contents, and 3,500 monthly credits across 3 AI models, while Enterprise & Agency adds custom prompts and topics, API access, a dedicated AI Search strategist, role-based access control, and custom workflows. Commitment is typically 12 months. Groq: Paid. Paid, usage-based inference API. Groq charges per token for hosted models, with free developer tiers and enterprise capacity options; check the official pricing page for current rates.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs. | [.md](https://openaitools.app/tool/deepseek.md) |
| 2 | [OpenAI Platform](https://openaitools.app/tool/openai) | 234,678,639 | -9.6% | Paid | Proprietary frontier models with powerful reasoning and multimodal features, but lacking open-weight model hosting and custom inference speeds. | [.md](https://openaitools.app/tool/openai.md) |
| 3 | [Google AI Studio](https://openaitools.app/tool/google-ai-studio) | 112,620,020 | +2% | Freemium | Google's rapid prototyping IDE and developer API workbench for building multimodal applications with Gemini models. | [.md](https://openaitools.app/tool/google-ai-studio.md) |
| 4 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Unified API gateway aggregating hundreds of models across providers, but acting as a router rather than direct hardware host. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 5 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Robust cloud platform for open-source model inference, offering extensive fine-tuning support but slightly slower raw speeds. | [.md](https://openaitools.app/tool/together-ai.md) |
| 6 | [Cerebras](https://openaitools.app/tool/cerebras) | 701,013 | -12.6% | Contact for Pricing | Wafer-scale hardware cloud delivering ultra-fast token generation speeds comparable to Groq, but supporting a more specialized model catalog. | [.md](https://openaitools.app/tool/cerebras.md) |
| 7 | [Fireworks](https://openaitools.app/tool/fireworks-ai) | 659,687 | +6% | Contact for Pricing | High-throughput serverless inference for open models, featuring excellent speed and fine-tuning capabilities with broad API compatibility. | [.md](https://openaitools.app/tool/fireworks-ai.md) |
| 8 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Low-cost serverless inference cloud hosting hundreds of open-weight models, but lacking specialized custom hardware accelerators like LPUs. | [.md](https://openaitools.app/tool/deep-infra.md) |
| 9 | [Novita AI](https://openaitools.app/tool/novita-ai) | 271,371 | -10.4% | Paid | AI cloud platform providing serverless model APIs and GPU instances, but with less emphasis on ultra-low-latency text generation. | [.md](https://openaitools.app/tool/novita-ai.md) |
| 10 | [Chutes](https://openaitools.app/tool/chutes) | 250,187 | -15.2% | Paid | Decentralized serverless inference platform hosting open-source models, offering lower costs but less enterprise reliability guarantees. | [.md](https://openaitools.app/tool/chutes.md) |

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Source: https://openaitools.app/compare/getmint-vs-groq

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