# sunbeam (formerly Positional) vs Together AI

sunbeam (formerly Positional) records 431 monthly visits with -95.1% month-over-month growth and Contact for Pricing pricing. Together AI records 1,645,930 monthly visits with +64.9% growth and Freemium, Paid pricing.

| Metric | [sunbeam (formerly Positional)](https://openaitools.app/tool/positional) | [Together AI](https://openaitools.app/tool/together-ai) |
| :--- | :--- | :--- |
| Website URL | https://www.positional.com | https://www.together.ai |
| Categories | AI SEO Tools, AI Content Detector, SEO Writing AI, AI Outline Generator | AI Developer Tools, AI API, AI Models, Open Source AI Models |
| Pricing Model | Contact for Pricing | Freemium, Paid |
| Monthly Visits | 431 | 1,645,930 |
| MoM Growth Rate | -95.1% | +64.9% |
| Primary Market | United States | United States |
| Direct Visits | 169 | 882,212 |
| Review Score | 4.3 | 4.7 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## sunbeam (formerly Positional)

sunbeam is positioned as a shift away from the previous generation of AI SEO workflows toward autonomous agents. Rather than giving a marketer a set of assisted tasks to complete, the agent is meant to own the workstream end to end. During onboarding it ingests a large corpus about your company — hundreds of product pages and blog posts, internal brand-voice documents, competitor landscapes and customer reviews — and builds an internal knowledge graph of your offerings. It reports that it can become ready to work in roughly two hours.

Once live, the agent handles each component of an SEO program independently and in parallel: keyword and market research, strategy development, content drafting, editorial calendar and performance tracking, plus technical SEO fixes. The stated goal is to let an organization start producing organic search results from day one instead of spending the first months building process.

Because the product is sold as a managed, agent-driven service rather than a self-serve subscription, the practical way to buy it is to book a demo and have the team scope what the agent would take on for your site. The site does not publish a public price list. Note that the company keeps a separate editorial site with essays and a documentary on autonomous SEO.

**Pricing & Plans:** No public price list is shown on the site — the product is sold through a demo booking and a scoped engagement, so contact the vendor for a quote.

- **Autonomous SEO agent:** One agent owns strategy, content, editorial and technical SEO, running each workstream independently and in parallel rather than as a stack of separate tools.
- **Company-wide onboarding:** Onboarding reads product pages, blog archives, brand-voice documents, competitor sites and customer reviews to build an internal knowledge graph of your business.
- **Content and editorial execution:** The agent drafts and plans content in your mapped brand voice, keeps an editorial calendar moving and tracks performance across pages.
- **Technical SEO fixes:** Technical SEO runs alongside content work, so structural issues are identified and addressed without a separate queue.
- **Built for SEO and AI search:** Positioned for both classic organic search and the newer AI answer surfaces that increasingly drive discovery.

**Strengths:** Agent-driven approach executes work rather than only suggesting it; Onboarding ingests a broad corpus: products, blog, voice docs, competitors, reviews; Handles content, editorial and technical SEO in one place; Aimed at both classic search and AI answer surfaces

**Limitations:** No published pricing — you need a demo to understand cost and scope; Autonomous execution still needs human review before publishing; As a managed engagement it is less of a self-serve, try-it-instantly tool

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

## Together AI

Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research. Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.

**Pricing & Plans:** Freemium, Paid

**Limitations:** Serverless pricing varies widely by model, so cost forecasting takes care; Heavy GPU-cluster and high-throughput workloads still require sales contact; Broad surface area (inference, GPU, fine-tuning, sandboxes, storage) can feel complex for beginners; Some newest models are marked experimental or preview and may change

[Profile (Markdown)](https://openaitools.app/tool/together-ai.md)

## Frequently Asked Questions

### How do sunbeam (formerly Positional) and Together AI compare in monthly traffic?

sunbeam (formerly Positional) has 431 monthly visits, while Together AI has 1,645,930. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

sunbeam (formerly Positional) has a month-over-month growth rate of -95.1%; Together AI has +64.9%.

### How does pricing compare?

sunbeam (formerly Positional): Contact for Pricing. No public price list is shown on the site — the product is sold through a demo booking and a scoped engagement, so contact the vendor for a quote. Together AI: Freemium, Paid. Freemium, Paid

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenAI Platform](https://openaitools.app/tool/openai) | 234,678,639 | -9.6% | Paid | Provides industry-leading proprietary frontier models and enterprise reliability, but completely lacks support for open-weight community models. | [.md](https://openaitools.app/tool/openai.md) |
| 2 | [Google AI Studio](https://openaitools.app/tool/google-ai-studio) | 112,620,020 | +2% | Freemium | Restricts API usage strictly to Gemini models, offering free prototyping tiers but lacking open-source model variety. | [.md](https://openaitools.app/tool/google-ai-studio.md) |
| 3 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Aggregates hundreds of models through a single API, offering broader model choice than Together AI's hosted lineup. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 4 | [Groq](https://openaitools.app/tool/groq) | 3,987,936 | +10% | Paid | Delivers dramatically faster token generation speeds using custom hardware, though with a more limited model selection. | [.md](https://openaitools.app/tool/groq.md) |
| 5 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | One API for 1,500+ production-ready generative media models | [.md](https://openaitools.app/tool/fal-ai.md) |
| 6 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Focuses heavily on deploying custom machine learning models and media generation pipelines alongside standard text LLMs. | [.md](https://openaitools.app/tool/replicate-ai.md) |
| 7 | [Unsloth AI](https://openaitools.app/tool/unsloth-ai) | 887,457 | -17.6% | Free | Open-source, memory-efficient fine-tuning and local model running | [.md](https://openaitools.app/tool/unsloth-ai.md) |
| 8 | [Fireworks](https://openaitools.app/tool/fireworks-ai) | 659,687 | +6% | Contact for Pricing | Provides exceptionally fast inference speeds and robust fine-tuning tools, competing directly on open-source model deployment performance. | [.md](https://openaitools.app/tool/fireworks-ai.md) |
| 9 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Offers similar low-cost serverless inference for open-weight models, but with a simpler pay-as-you-go pricing model. | [.md](https://openaitools.app/tool/deep-infra.md) |
| 10 | [SiliconFlow](https://openaitools.app/tool/siliconflow) | 276,303 | -10.5% | Pay-as-you-go | One API for fast, cost-predictable inference on LLMs and multimodal models | [.md](https://openaitools.app/tool/siliconflow.md) |

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Source: https://openaitools.app/compare/positional-vs-together-ai

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)