# findable. vs Scale findable. records 25,378 monthly visits with -42.2% month-over-month growth and Free Trial, Paid pricing. Scale records 616,915 monthly visits with +12.5% growth and Contact for Pricing pricing. | Metric | [findable.](https://openaitools.app/tool/findable) | [Scale](https://openaitools.app/tool/scale) | | :--- | :--- | :--- | | Website URL | https://findableapp.com | https://scale.com | | Categories | AI SEO Tools, Large Language Models (LLMs), AI Search Engine, SEO Writing AI | AI Developer Tools, Large Language Models (LLMs), AI Models, AI Agent | | Pricing Model | Free Trial, Paid | Contact for Pricing | | Monthly Visits | 25,378 | 616,915 | | MoM Growth Rate | -42.2% | +12.5% | | Primary Market | Global | United States | | Direct Visits | 10,100 | 191,408 | | Review Score | 4.1 | 4.7 | | Saved Count | 0 | 3 | | 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) ## Scale Scale positions itself as the infrastructure layer for reliable AI - the data, evaluations and deployment support that sit underneath working systems rather than a single consumer-facing model. Founded in 2016, it built its reputation supplying training data and labelling capacity to the autonomous vehicle and then the generative AI wave, and now describes itself as powering a large share of the world's leading generative AI model builders. The offering spans three broad areas. Data covers sourcing and expert annotation for training and fine-tuning, including RLHF-style preference data. Evaluation covers public leaderboards and private benchmarks used to measure model capability and safety. Applications covers the build-and-deploy side: identifying a viable use case, constructing the system and owning the outcome, with agentic AI for enterprise operations. Scale's customer list leans heavily enterprise and public sector, including large technology companies, healthcare providers, media organisations, energy companies and government defence programmes. Because engagements are scoped rather than self-serve, pricing is arranged through a sales process, and the platform is aimed at organisations with serious data volume, strict compliance needs and a mandate to put AI into production. **Pricing & Plans:** Contact for pricing. Scale does not publish rates; engagements are scoped through a sales conversation and depend on data volume, services and programme complexity. - **Data Engine:** Human-sourced and expert-annotated training data, including specialist contributors with advanced degrees, at the quality bar frontier labs require. - **Model evaluation & benchmarks:** Public leaderboards plus private benchmarks that test model capability and safety for the most ambitious AI developers. - **Enterprise AI applications:** Platform and services teams that pick the right use case, build the system and take ownership of the outcome. - **Agentic deployment:** Agentic systems designed around measurable business outcomes across private equity portfolios, energy and healthcare operations. - **Domain expertise:** Programmes spanning healthcare, robotics, defence, public sector and enterprise with human oversight built in. **Strengths:** Backed by a long track record in training data and model evaluation.; End-to-end coverage from data sourcing through to deployed systems.; Experienced with regulated, classified and safety-critical environments.; Benchmarks and leaderboards give an independent view of model capability. **Limitations:** No public pricing or self-serve signup - you need a sales conversation to get started.; Enterprise-scale contracting and data operations require real internal commitment.; Overkill for small teams with modest data or evaluation needs.; Some projects involve sensitive government and defence work with strict compliance overhead. [Profile (Markdown)](https://openaitools.app/tool/scale.md) ## Frequently Asked Questions ### How do findable. and Scale compare in monthly traffic? findable. has 25,378 monthly visits, while Scale has 616,915. 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%; Scale has +12.5%. ### 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. Scale: Contact for Pricing. Contact for pricing. Scale does not publish rates; engagements are scoped through a sales conversation and depend on data volume, services and programme complexity. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [Roboflow](https://openaitools.app/tool/roboflow) | 1,431,204 | +6.6% | Freemium, Contact for Pricing | Streamlines computer vision dataset annotation and model training, but is less suited for general LLM text tasks. | [.md](https://openaitools.app/tool/roboflow.md) | | 2 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | Focuses heavily on enterprise data labeling and training data curation, similar to Scale's core annotation business. | [.md](https://openaitools.app/tool/labelbox.md) | | 3 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | Provides enterprise multimodal annotation and data management tools, but with less emphasis on managed labeling workforces. | [.md](https://openaitools.app/tool/super-annotate.md) | | 4 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/tool/prompts) | 315,624 | -80.2% | Freemium, Contact for Pricing, Free | Track, evaluate, and ship AI models and agents in one connected environment. | [.md](https://openaitools.app/tool/prompts.md) | | 5 | [Surfer](https://openaitools.app/tool/surferseo-com) | 249,599 | -29.3% | Paid, Contact for Pricing | AI visibility platform to get your brand cited in AI search | [.md](https://openaitools.app/tool/surferseo-com.md) | | 6 | [Arize AI](https://openaitools.app/tool/arize-com) | 249,028 | +3.2% | Paid, Contact for Pricing | Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation. | [.md](https://openaitools.app/tool/arize-com.md) | | 7 | [Encord](https://openaitools.app/tool/encord-com) | 244,204 | +9.4% | Contact for Pricing | Specializes in data infrastructure and annotation specifically tailored for computer vision and physical AI workloads. | [.md](https://openaitools.app/tool/encord-com.md) | | 8 | [AISEO](https://openaitools.app/tool/aiseo) | 152,626 | +28.1% | Free Trial, Paid | AI SEO agents that rank on Google and get cited by AI chatbots | [.md](https://openaitools.app/tool/aiseo.md) | | 9 | [Label Studio](https://openaitools.app/tool/label-studio) | 137,199 | -16.1% | Contact for Pricing, Free | Offers a flexible open-source alternative for custom data labeling and human-in-the-loop annotation pipelines. | [.md](https://openaitools.app/tool/label-studio.md) | | 10 | [Otterly.ai](https://openaitools.app/tool/otterly-ai) | 122,389 | +3% | Free Trial, Paid | Track and improve how AI search engines mention your brand | [.md](https://openaitools.app/tool/otterly-ai.md) | --- Source: https://openaitools.app/compare/findable-vs-scale More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)