# findable. vs Replicate AI

findable. records 25,378 monthly visits with -42.2% month-over-month growth and Free Trial, Paid pricing. Replicate AI records 904,038 monthly visits with -8.4% growth and Paid pricing.

| Metric | [findable.](https://openaitools.app/tool/findable) | [Replicate AI](https://openaitools.app/tool/replicate-ai) |
| :--- | :--- | :--- |
| Website URL | https://findableapp.com | https://replicate.com |
| Categories | AI SEO Tools, Large Language Models (LLMs), AI Search Engine, SEO Writing AI | AI API, AI Models, AI Developer Tools, Open Source AI Models |
| Pricing Model | Free Trial, Paid | Paid |
| Monthly Visits | 25,378 | 904,038 |
| MoM Growth Rate | -42.2% | -8.4% |
| Primary Market | Global | United States |
| Direct Visits | 10,100 | 577,501 |
| Review Score | 4.1 | 4.6 |
| Saved Count | 0 | 5 |
| Supported Platforms | Website | Website |

## findable.

findable. addresses a newer marketing problem: buyers increasingly ask ChatGPT, Gemini, Perplexity and Google AI Mode what to buy, where to go and whom to trust, so a brand's visibility in traditional search results no longer tells the whole story. The platform runs daily prompt sets across multiple AI assistants and search engines, tracking mentions, citations, sentiment and competitor share of voice, then scores the brand against rivals such as MUJI, Zara or H&M style benchmarks.

Two features set it apart from pure monitoring tools. First, crawler auditing shows which search, AI and social bots can actually reach a client's site, flagging robots.txt rules that block ChatGPT, Claude or Perplexity from discovering content. Second, its content workspace turns audit results into briefs, outlines and keyword guidance, including content-gap and E-E-A-T analysis, so teams can act rather than just observe. Google Search Console integration lets teams optimise for classic Google and AI answers in the same view.

Agency workflows are a clear design priority: a multi-brand dashboard keeps every client in one place, competitor comparisons make pitch decks stronger, and progress tracking supports retainer conversations. There is a free trial and paid plans; check the pricing page for current tiers.

**Pricing & Plans:** Free trial available with paid plans; exact tiers, seat limits and prompt volumes are listed on the vendor's pricing page.

- **AI visibility monitoring:** Runs prompt sets across ChatGPT, Google AI Mode, Gemini, Claude, Perplexity and others to track mentions, citations and sentiment over time.
- **Crawler and robots.txt audit:** Shows which search, AI and social crawlers can reach a site and flags rules blocking ChatGPT, Claude or Perplexity.
- **Content generation workspace:** Turns gaps into briefs, outlines and keyword guidance, with content-gap and E-E-A-T scoring.
- **Multi-brand agency dashboard:** Manages many client domains in one place, with competitor score comparisons for pitches.
- **Search Console integration:** Connects Google Search Console and Webmaster Tools so teams optimise for Google and AI answers together.

**Strengths:** Covers multiple AI assistants and search engines in one view; Unique crawler-access auditing that many trackers skip; Agency-friendly multi-brand and competitor workspaces; Turns monitoring insight into content briefs

**Limitations:** Pricing is aimed at agencies and larger brands rather than solo hobbyists; Results depend on third-party AI assistants whose behaviour changes frequently; Real value requires ongoing prompt management rather than one-off checks

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

## Replicate AI

Replicate's core pitch is a uniform interface over thousands of models. Models range from image generators such as FLUX, GPT Image, Nano Banana, Seedream, and Recraft, to video models from MiniMax, ByteDance, xAI, and Alibaba, plus speech, music, captioning, image restoration, and large language models. Each model page exposes concrete inputs, versioned releases, and cost estimates, and you call them the same way regardless of the underlying framework. The catalog blends community-contributed open-source models with officially maintained proprietary ones, and the company positions every listed model as actually working with a production-ready API rather than a demo.

Beyond running hosted models, Replicate is a deployment and training layer. Cog, the project's open-source packaging tool, converts a model into a container with a generated HTTP API, so your own weights can be served from the same interface. Public models run on shared infrastructure and you pay only for processing time, while private models run on dedicated hardware and are billed for the full time instances are online — setup, idle, and active — with an exception for fast-booting fine-tunes that only bill when processing. Automatic scaling handles traffic spikes without manual capacity planning.

Pricing is strictly consumption-based. Public models are usually billed per second of runtime according to the hardware selected, with some billed per input and output instead; published examples include Flux 1.1 Pro at $0.04 per output image and DeepSeek R1 at $3.75 per million input tokens. Hardware rates are public too, from a T4 at roughly $0.81 per hour up to eight H100s at about $43.92 per hour. You can start free, and enterprise contracts unlock additional multi-GPU A100, H100, and H200 capacity.

**Pricing & Plans:** Paid, usage-based — you only pay for what you use. Most public models are billed by runtime at per-second hardware rates; some models are billed per input and output (for example, $0.04 per output image on Flux 1.1 Pro, $3.75 per million input tokens on DeepSeek R1). Published GPU hardware ranges from about $0.81/hr for a T4 up to roughly $43.92/hr for 8x H100. Private deployments bill for setup, idle, and active time on dedicated hardware, and you can start for free. Enterprise and volume discounts available.

- **Thousands of models behind one API:** Run image, video, audio, speech, and language models through a uniform API surface, with official models for FLUX, Nano Banana, Seedream, Grok Imagine, MiniMax, Wan, Seedance, and more.
- **One-line-of-code inference:** Set up a model in minutes and make an API call in Python, Node, or plain HTTP after authenticating with an API token.
- **Cog packaging and custom deployments:** Package your own model with Cog, an open-source tool for packaging machine learning models, and deploy it on dedicated hardware that scales up and down with demand.
- **Model fine-tuning:** Fine-tune models on your own data, including fast-booting fine-tunes that are billed only while actively processing requests rather than for idle time.
- **Published hardware and inference rates:** Transparent per-second hardware rates across CPU, T4, L40S, A100, H100, and H200 configurations, with committed-spend options for multi-GPU capacity.

**Strengths:** Very broad model catalog spanning image, video, audio, speech, and LLMs behind one consistent API; Usage-based billing with openly published per-second hardware and per-output model rates; Cog makes it straightforward to package and deploy your own private models; Automatic scaling handles traffic spikes without manual capacity planning

**Limitations:** Costs are consumption-based and can rise quickly with heavy traffic or always-on private deployments; Private models bill for idle and setup time, not just request processing, unless they are fast-booting fine-tunes; Long-running GPU models can queue on shared public capacity during peak periods; It is an infrastructure layer, so you still need your own prompts, pipelines, and application code

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

## Frequently Asked Questions

### How do findable. and Replicate AI compare in monthly traffic?

findable. has 25,378 monthly visits, while Replicate AI has 904,038. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

findable. has a month-over-month growth rate of -42.2%; Replicate AI has -8.4%.

### How does pricing compare?

findable.: Free Trial, Paid. Free trial available with paid plans; exact tiers, seat limits and prompt volumes are listed on the vendor's pricing page. Replicate AI: Paid. Paid, usage-based — you only pay for what you use. Most public models are billed by runtime at per-second hardware rates; some models are billed per input and output (for example, $0.04 per output image on Flux 1.1 Pro, $3.75 per million input tokens on DeepSeek R1). Published GPU hardware ranges from about $0.81/hr for a T4 up to roughly $43.92/hr for 8x H100. Private deployments bill for setup, idle, and active time on dedicated hardware, and you can start for free. Enterprise and volume discounts available.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Excels at routing text and multimodal prompts across various providers, but lacks Replicate's dedicated custom ML deployment. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 2 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | Faster serverless execution for image and video models, but less generalized custom model deployment than Replicate. | [.md](https://openaitools.app/tool/fal-ai.md) |
| 3 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Stronger focus on LLM inference and fine-tuning, but lacks Replicate's diverse community-curated media model catalog. | [.md](https://openaitools.app/tool/together-ai.md) |
| 4 | [Unsloth AI](https://openaitools.app/tool/unsloth-ai) | 887,457 | -17.6% | Free | Specializes specifically in ultra-efficient model fine-tuning, rather than providing a general-purpose model hosting API. | [.md](https://openaitools.app/tool/unsloth-ai.md) |
| 5 | [Atlas Cloud](https://openaitools.app/tool/atlas-cloud) | 777,031 | -16.4% | Paid | Offers a broad mix of generative media models via API, but lacks Replicate's massive community deployment ecosystem. | [.md](https://openaitools.app/tool/atlas-cloud.md) |
| 6 | [Fireworks](https://openaitools.app/tool/fireworks-ai) | 659,687 | +6% | Contact for Pricing | Delivers exceptionally fast inference speeds for open models, but has a narrower model selection than Replicate. | [.md](https://openaitools.app/tool/fireworks-ai.md) |
| 7 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Significantly cheaper pricing for running open-weight models, but offers fewer advanced custom training and deployment features. | [.md](https://openaitools.app/tool/deep-infra.md) |
| 8 | [Pollinations](https://openaitools.app/tool/pollinations) | 316,875 | +22.8% | Free | Open infrastructure and one API for generative AI builders | [.md](https://openaitools.app/tool/pollinations.md) |
| 9 | [Novita AI](https://openaitools.app/tool/novita-ai) | 271,371 | -10.4% | Paid | Provides affordable serverless GPU execution and diverse model APIs, but with a less polished developer ecosystem. | [.md](https://openaitools.app/tool/novita-ai.md) |
| 10 | [Chutes](https://openaitools.app/tool/chutes) | 250,187 | -15.2% | Paid | Serverless, decentralized inference for open-source AI models | [.md](https://openaitools.app/tool/chutes.md) |

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Source: https://openaitools.app/compare/findable-vs-replicate-ai

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