# Your page scores 41 out of 100 for sameness against the 3 competitors you named.

Parts of your page are genuinely your own — but how the page is put together is where you and encord.com start to sound the same.

- **Your page:** https://voxel51.com/
- **Compared against:** Roboflow (roboflow.com), encord.com (encord.com), GoDaddy (foxglove.com domain sale page) (forsale.godaddy.com)
- **Sameness Index:** 41 — Half shared
- **Ownable share:** 16% (of 46% distinctive)
- **Report:** https://grader.wynter.com/c/voxel51-com-kQP2iY8

**How you compare · vs 366 SaaS sites** — 15 points less same than the average SaaS site. The average SaaS site scores 56; you scored 41. You are less same than 318 of the 366 SaaS sites. The best-differentiated site in the set is at 6.
_A single check can move several points between runs; the benchmark averages up to eight sites per category._

> With 3 competitors, commonness can only take 4 distinct values. The figures are honest at that resolution and no finer.

## 1. Sameness Index

| Category | Weight | Score | What it means |
| --- | --- | --- | --- |
| Messaging | 30% | 44 | The most expensive kind of sameness. A buyer cannot tell what job you do that the others do not. |
| Claims | 30% | 33 | Every shared claim is a line already read on another tab. Cut the ones nobody owns and spend the space on something they cannot. |
| Features | 15% | 46 | Expected in a mature category, and the least alarming of the six. Feature parity is normal; leading with it is the mistake. |
| Proof | 10% | 33 | Same kinds of proof as everyone means the proof stops working as proof. It is scored on the kind of evidence, not on which customers are named. |
| Structure | 10% | 63 | The generic SaaS template — hero, logos, three-feature grid, testimonial, CTA. Familiar is not the same as memorable. |
| Visual | 5% | 30 | Weighted lowest on purpose: buyers rarely decide on this. Worth knowing, rarely worth fixing first. |

**Half shared** — About half your claims are also on competitor pages.

## 2. Closest competitors

| Competitor | Same | Band |
| --- | --- | --- |
| encord.com | 92 | Interchangeable |
| Roboflow | 24 | Mostly your own |
| GoDaddy (foxglove.com domain sale page) | 2 | Mostly your own |

_Measured from your side: how much of what YOU say each competitor also says, weighted by where you put it._

## 3. Ownable share

**The share of your own page's claim space that is yours to keep.** This is not the inverse of the Sameness Index — it is measured on your claims alone, so the two do not add up to 100 and are not meant to.

16% of your page is unique, relevant and defensible. That is real, and it is a minority of what you say.

- **Distinctive message share:** 46% — prominent space spent on claims no competitor makes.
- **Ownable share:** 16% — the part of that which is also relevant to how buyers choose and hard to copy.

## 4. Where you sound like everyone else

Most of your set makes each of these and you are spending prominent space on them, ranked by how much. **These are not necessarily lines to delete** — some of what a page has to say is unavoidably shared, and claims about what kind of product you are were left out of this list for exactly that reason. The question each one raises is whether it has earned its space.

- **named customers and large user base as proof** (Section, 67% of the set) — also on Roboflow, encord.com
  - _"Walmart is a customer of Voxel51's multimodal data platform"_
- **curation and annotation in one tool** (Section, 67% of the set) — also on Roboflow, encord.com
  - _"Get best-in-class data curation with visualization and annotation built-in"_
- **quantified customer results** (Section, 67% of the set) — also on Roboflow, encord.com
  - _"30% increase in model accuracy"_
- **curation and annotation in one tool** (Section, 67% of the set) — also on Roboflow, encord.com
  - _"Annotate, tag, and curate the highest-value demonstrations to continuously improve VLA generalization"_
  - Said your way: nobody else makes this exact claim, but everyone occupies the territory.
- **quantified customer results** (Section, 67% of the set) — also on Roboflow, encord.com
  - _"50x faster data curation"_
  - Said your way: nobody else makes this exact claim, but everyone occupies the territory.
- **quantified customer results** (Section, 67% of the set) — also on Roboflow, encord.com
  - _"Months of development time saved"_
  - Said your way: nobody else makes this exact claim, but everyone occupies the territory.
- **AI-assisted labeling and quality checks** (Body, 67% of the set) — also on Roboflow, encord.com
  - _"Save time and costs with Agentic Labeling, powered by VLMs"_
- **AI-assisted labeling and quality checks** (Body, 67% of the set) — also on Roboflow, encord.com
  - _"Review annotation mistakes in bulk with Intelligent Review"_

## 5. Buried gold

Unique, relevant, and sitting in body copy. The cheapest wins here — you already have the differentiation and the page hides it.

- **3x faster robotics investigation for a customer** (Body, 0% of the set)
  - _"Sped up investigations of robotic arms by 3x (Berkshire Grey)"_
- **Eliminated manual work on huge visual datasets** (Body, 0% of the set)
  - _"Eliminated repetitive manual transformations on 20 TB+ of visual data (RIOS)"_
- **Project management, workforce routing and ontologies** (Body, 0% of the set)
  - _"Deliver projects to spec with project management, workforce routing, schemas, ontologies, and more"_

## 6. Claim inventory

| Claim | Type | Placement | Common | Sayability | Relevant | Ownership |
| --- | --- | --- | --- | --- | --- | --- |
| Data platform purpose-built for physical AI | category | Hero | 33% | anyone | yes | Contested |
| Helps build high-quality training datasets | outcome | Hero | 33% | anyone | yes | Contested |
| Improves dataset coverage and model generalization | outcome | Hero | 0% | anyone | yes | Unique for now |
| Named large enterprise customers use the platform | proof | Section | 67% | some | yes | Commodity |
| Single unified end-to-end data platform | category | Section | 67% | anyone | yes | Commodity |
| Best-in-class curation with annotation built in | capability | Section | 33% | anyone | yes | Contested |
| Customers achieved large model accuracy gains | proof | Section | 33% | some | yes | Contested |
| Curate highest-value samples to improve models | capability | Section | 0% | anyone | yes | Unique for now |
| Dramatically faster data curation (50x) | proof | Section | 0% | some | yes | Unique and owned |
| Saves months of development time | proof | Section | 0% | anyone | yes | Unique for now |
| Diagnose why models fail and feed fixes back to training | outcome | Section | 33% | some | yes | Contested |
| Native support for many sensor modalities | capability | Section | 33% | some | yes | Contested |
| Search datasets to surface edge cases and coverage gaps | capability | Section | 33% | some | yes | Contested |
| Synchronized multi-sensor playback in one view | capability | Section | 33% | some | yes | Contested |
| Data quality matters more than models | quality | Section | 0% | anyone | no | Unique for now |
| Expand dataset diversity via synthetic scene generation | outcome | Section | 0% | some | yes | Unique and owned |
| Explore multimodal datasets at scale | capability | Section | 0% | anyone | yes | Unique for now |
| Natural language, embedding and similarity search | capability | Section | 0% | some | yes | Unique and owned |
| AI/VLM-assisted labeling cuts cost and time | capability | Body | 33% | anyone | yes | Contested |
| Bulk detection and review of annotation errors | capability | Body | 33% | some | yes | Contested |
| 3x faster robotics investigation for a customer | proof | Body | 0% | some | yes | Unique and owned |
| Eliminated manual work on huge visual datasets | proof | Body | 0% | anyone | yes | Unique for now |
| Project management, workforce routing and ontologies | capability | Body | 0% | some | yes | Unique and owned |
| Used by a major tech company's flagship model work | proof | Body | 0% | some | no | Unique and owned |
| Model behavior only visible across whole datasets | quality | Body | 0% | anyone | no | Unique for now |

## What we compared

- **Voxel51** (your page) — https://voxel51.com/
- **Roboflow** — https://roboflow.com/
- **encord.com** — https://encord.com/
- **GoDaddy (foxglove.com domain sale page)** — https://forsale.godaddy.com/forsale/foxglove.com?traffic_type=TDFS_DASLNC&traffic_id=daslnc&oref=https%3A%2F%2Fwww.google.com%2F

## What this does and does not tell you

An AI read each page and wrote down the claims it makes, then grouped the claims that say the same thing. **No score in this report was written by a model** — every number is computed from those groupings in our own code, with the weights shown above.

## The only way to know if it matters

This report can tell you where your messaging overlaps. It cannot tell you whether a buyer would care, or which of your reasons to buy actually land. Put the page in front of real B2B buyers in your target market and ask them.

[Test it with real buyers](https://wynter.com)