# findable. vs Labelbox

findable. records 25,378 monthly visits with -42.2% month-over-month growth and Free Trial, Paid pricing. Labelbox records 762,803 monthly visits with -22.8% growth and Contact for Pricing pricing.

| Metric | [findable.](https://openaitools.app/tool/findable) | [Labelbox](https://openaitools.app/tool/labelbox) |
| :--- | :--- | :--- |
| Website URL | https://findableapp.com | https://labelbox.com |
| Categories | AI SEO Tools, Large Language Models (LLMs), AI Search Engine, SEO Writing AI | AI Developer Tools, AI API, AI Workflow, AI Productivity Tools |
| Pricing Model | Free Trial, Paid | Contact for Pricing |
| Monthly Visits | 25,378 | 762,803 |
| MoM Growth Rate | -42.2% | -22.8% |
| Primary Market | Global | United States |
| Direct Visits | 10,100 | 370,024 |
| Review Score | 4.1 | 4.4 |
| Saved Count | 0 | 0 |
| 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)

## Labelbox

Labelbox occupies an unusual position in the AI stack: it does not primarily sell a chatbot or a generator, it builds the environments and data that models learn from plus the agents that take over recurring engineering and research work. The homepage claim is direct — frontier AI labs train on Labelbox environments and expert data, while engineering and research teams hand their recurring backlog to agents running on Recursion. A recent Series E of more than $100 million signals a heavily funded bet on that thesis.,For enterprises, the newer half of the product is Recursion. Agents are triggered by real signals — a failing build, a PagerDuty alert, a new dependency release, a fresh model checkpoint, or a Monday morning schedule — and then work in the background until the job is done. The examples the company promotes are concrete deliverables rather than summaries: a tested pull request with a preview link, a postmortem draft in Confluence with every event sourced, an ablation table naming the changes that mattered, or a patch for each exposed service after a critical CVE. A grader agent scores each run, and the graded session leaves behind memories, notes and skills that the next session reads before it acts.,The original foundation remains the data business: labeling, annotation, curation and model evaluation supported by expert human reviewers, used for computer vision, NLP, supervised fine-tuning, RLHF and red teaming. In practice the two halves reinforce each other, since the environments that produce high-quality training data are the same environments where agents learn to do real work. Pricing is enterprise-style, routed through sales conversations and shaped by data volume and agent usage, with no public self-serve tier.

**Pricing & Plans:** Contact for pricing. Labelbox does not publish self-serve plans or public rate cards; its pricing route instead directs interested teams to talk to sales, and cost is shaped by data production scope, agent deployment and enterprise requirements. There is no published free tier. Prospective customers should request a quote based on their volumes and use cases.

- **Data labeling and expert annotation:** Structured annotation, curation, model evaluation and human-in-the-loop review across vision, language and generative tasks, used to build the training and eval data behind production models.
- **Autonomous agent sessions:** Recursion agents start on their own from builds, alerts, commits, checkpoints and schedules, then work in the background until the task is finished and reviewable.
- **Domain specialists by function:** Specialist agents cover software engineering, reliability, security, ML research, evals, R&D, product and finance workflows, from flaky test fixes to postmortem drafts and vulnerability patches.
- **Graded outcomes that compound:** Every agent run is scored by a grader, and graded sessions leave memories, notes and skills that the next session reads before acting, so quality compounds over time.
- **Native tool and data integrations:** Agents operate against the tools teams already use, including GitHub, Jira, Linear, Slack, Datadog, PagerDuty, BigQuery, Databricks, Vercel and cloud providers.

**Strengths:** Covers both sides of the problem: training and eval data production plus agents that act on recurring work; Backed by a recent $100M+ Series E and adoption by frontier AI labs, indicating real funding and demand; Agent runs produce concrete deliverables with proof — tests, reruns, ablations — rather than unverified suggestions; Integrates with the toolchain teams already run: GitHub, Jira, Linear, Slack, Datadog, PagerDuty, BigQuery and Databricks

**Limitations:** No self-serve pricing or open signup: everything routes through a sales conversation, which slows down evaluation; The platform assumes real engineering and research infrastructure (GitHub, cloud providers, data warehouses) to deliver value; Positioning has shifted quickly toward autonomous agent sessions, so teams wanting only labeling workflows may find it heavier than needed

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

## Frequently Asked Questions

### How do findable. and Labelbox compare in monthly traffic?

findable. has 25,378 monthly visits, while Labelbox has 762,803. 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%; Labelbox has -22.8%.

### 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. Labelbox: Contact for Pricing. Contact for pricing. Labelbox does not publish self-serve plans or public rate cards; its pricing route instead directs interested teams to talk to sales, and cost is shaped by data production scope, agent deployment and enterprise requirements. There is no published free tier. Prospective customers should request a quote based on their volumes and use cases.

## 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 end-to-end computer vision workflows from annotation to model deployment, but lacks Labelbox's general enterprise agent orchestration. | [.md](https://openaitools.app/tool/roboflow.md) |
| 2 | [Appen](https://openaitools.app/tool/appen-com) | 665,840 | +0.2% | Contact for Pricing | Relies heavily on managed human-in-the-loop workforce services for data validation, offering less self-serve technical tooling than Labelbox. | [.md](https://openaitools.app/tool/appen-com.md) |
| 3 | [Scale](https://openaitools.app/tool/scale) | 616,915 | +12.5% | Contact for Pricing | Delivers enterprise-grade labeling and model evaluation at massive scale, but often requires higher enterprise budgets than Labelbox. | [.md](https://openaitools.app/tool/scale.md) |
| 4 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | Offers robust multimodal annotation and workflow automation, featuring slightly more intuitive data curation pipelines for computer vision teams. | [.md](https://openaitools.app/tool/super-annotate.md) |
| 5 | [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) |
| 6 | [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) |
| 7 | [Encord](https://openaitools.app/tool/encord-com) | 244,204 | +9.4% | Contact for Pricing | Specializes in advanced computer vision and physical AI data pipelines, though with a narrower focus than general text-and-image labeling. | [.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 | Provides a flexible open-source alternative for custom data labeling, but requires self-hosting and manual infrastructure maintenance. | [.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) |

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Source: https://openaitools.app/compare/findable-vs-labelbox

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