Your verdict
Your page is mostly the same.
Most of what your page says, Miros says too. You're less same than 150 of the 366 SaaS sites scored (SaaS avg 56).
Each named site is scored the same way, against the other 3 in this set, so its tick means the same as your marker. The dashed line is the frozen benchmark average.
More same than average
The average SaaS site scores 56; you scored 60.
You are 4 points more same than the average SaaS site.
Closest overlap: Miros
Of the 3 sites you named, Miros echoes the most of what your page says: 80% of it, weighted by placement. Scored the same way you were, against the rest of the set, Miros's own Sameness Index is 48. Those are different measures: the first is overlap with your page, the second is how same Miros's whole page is.
Miros is the competitor you sound most like.
Room to own more
25% of your claim space is ownable: unique, relevant, and hard to copy.
25% is ownable, and every claim you own already leads.
Three changes worth testing first.
Chosen by rule from the comparison with Syte, ViSenze and Miros: the shared claim taking your most prominent space, then the claims only you make that sit too low on the page to be read. Each one links to its claim card.
- “One engine connecting every lever of your P&L”
Syte and Miros say it too (67% of the set). Buyers may still need it, but shared ground cannot carry your hero — move it lower and give that space to something only you can say.
Table stakesMost of the set says this too. - “Generative tagging, read straight off the image, and long-tail pages that finally rank: the catalogue earns its own traffic”
Keep the fact, lose the position: syte, ViSenze and Miros all say it too, and your section is spending its first impression on the same territory as theirs.
Table stakesMost of the set says this too.
Try these changes, then test them with real buyers.
This measures overlap. Whether buyers notice is a different question, and only they can answer it.
What you can own
Claims only you make, that buyers weigh, and that competitors can’t easily copy.
25% of your page’s claim space is yours to keep.
Why this is not 100 minus the Sameness Index
The index is a weighted composite across six categories, including page structure and visuals. This bar is measured on your claims alone, weighted by where each one sits on the page. Different denominators, so the two never add to 100 and are not meant to.
Already leading with · 7
- Handles unique, one-of-a-kind marketplace inventory
“Built to understand where correlation fails: marketplaces where every piece is one of a kind”
- Named retailer revenue-per-session uplift
“That understanding was worth +71% revenue per session at Azadea”
- New revenue formats from existing catalogue
“New revenue from the catalogue you already own: digital changing rooms, wordless browsing, back-catalogue alternatives”
- Payment tied to measured uplift
“Our case studies, and whether we get paid, stand on the same number”
- Personalisation without collecting identifiers or PII
“Fifteen years with that problem produced the intent model and an architecture that has never needed a name or an email”
- Ranks new products with no sales history
“We see it from meaning, before the first sale”
- Recovers revenue from sold-out pages
“up to 45% · +26% recovered from sold-out pages, Pamono”
Buried in body copy · 0
Nothing buried. Every claim you own is already above body copy.
Where you blend in
Territory you spend prominent space on that the set also occupies. Not every line is one to delete — the question is whether it has earned the space, or whether something only you can say should be there instead.
- Commodity · 67%KeepHeroAI understands shopper intent and meaning
- “THE FEED learns from what she does”
- “UNDERSTANDING stops asking the merchant too”
- “Knows the whole catalogue cold”
- “Understanding of that kind is not a feature added to a search bar; it is the foundation the whole engine is built on”
You say this 4 different ways.
ViSenze and Miros say what they are and who they are for, as every page in a category must. Keep it — it is orientation, not differentiation.
They say- ViSenze“Leverage the power of multimodal AI for uniquely personalized search”
- Miros“Our AI reads behavioural signals and builds a real-time preference profile per visitor.”
- Commodity · 67%Table stakesHeroGrows revenue and order value
- “One engine connecting every lever of your P&L”
- “New revenue from the catalogue you already own: digital changing rooms, wordless browsing, back-catalogue alternatives”
- “up to 45% · +26% recovered from sold-out pages, Pamono”
- “up to 37% AOV · +31% units per transaction”
You say this 4 different ways.
Syte and Miros cover this territory. Buyers may need to hear it, but in your hero it spends the first impression on shared ground.
They say- Syte“40% Uplift in Average Order Value”
- Miros“+4-27% AOV - Higher-value purchases”
- Commodity · 100%Table stakesSectionAutomates merchandising and catalogue enrichment
- “We see it from meaning, before the first sale”
- “Deep learning reads style, pattern, texture and context straight from your product images, so nothing depends on tags you don't have”
- “Generative tagging, read straight off the image, and long-tail pages that finally rank: the catalogue earns its own traffic”
- “Every product page becomes a merchandiser that never sleeps”
You say this 4 different ways.
Common ground with Syte, ViSenze and Miros. Say it if buyers need it — lower on the page, where it is not the thing they read first.
They say- Syte“Drive revenue, boost text search, and optimize merchandising with automatic product tagging.”
- ViSenze“GenAI Smart Tagging utilizes advanced AI and machine learning to automatically apply relevant tags to products at scale”
- Miros“AI extracts thousands of visual and semantic attributes per image.”
- Commodity · 100%Table stakesSectionPersonalisation per individual shopper
- “An intent model, patented in the US and EU, turns them into a live preference profile per shopper”
Syte, ViSenze and Miros make the same claim. It cannot set you apart, so it should not carry the section.
They say- Syte“Advanced Personalized Recommendations”
- ViSenze“instantly relevant product recommendations”
- Miros“Contradictory signals synthesised into coherent preference profiles.”
- Commodity · 100%Table stakesSectionQuantified revenue and conversion results
- “That understanding was worth +71% revenue per session at Azadea”
- “up to 7.1× engagement”
- “VISII deployments are measured as randomised split tests: a test group against a matched control, inside your live traffic”
You say this 3 different ways.
A buyer comparing tabs sees this on Syte, ViSenze and Miros. Yours earns nothing by repeating it up top; it can live lower down.
They say- Syte“7.1X Higher Conversion Rate”
- ViSenze“Increasing findability and revenue”
- Miros“momox fashion saw +19% GMV, +11% AOV”
- Commodity · 67%KeepSectionMarket trend validates this approach
- “That shift has already started. It is what we're building for.”
- “TikTok Shop reached tens of billions in sales inside three years on exactly that”
You say this 2 different ways.
Every page has to name its category and audience, and ViSenze and Miros do too. Keep the line; just do not expect it to do any differentiating.
They say- ViSenze“Keyword-based search limits customers, leading to lost sales”
- Miros“TikTok and Shein won because their algorithms show shoppers what they want before they ask.”
- Commodity · 67%Table stakesSectionOne engine powers all discovery surfaces
- “Search, recommendation, personalisation, visual and generative AI, built to communicate with each other, so you don't have to”
ViSenze and Miros got here first as far as a buyer can tell. Keep the fact for readers who need it; move the position to a claim only your page can make.
They say- ViSenze“Unified Multimodality Experience seamlessly integrates search and recommendations into one experience”
- Miros“It powers every discovery surface on your site simultaneously.”
- Commodity · 67%Table stakesSectionWorks across any catalogue, vertical or inventory type
- “Built to understand where correlation fails: marketplaces where every piece is one of a kind”
A buyer comparing tabs sees this on Syte and ViSenze too (67% of the set). Yours earns nothing by repeating it up top; it can live lower down. Nobody else uses your exact words, but everyone is on the ground. Nobody else makes this exact claim, but everyone occupies the territory — lead with the specific, not the generic.
They say- Syte“The only AI-powered product recommendation and discovery platform built from the ground up for ecommerce.”
- ViSenze“AI Discovery built for your business across sectors: Fast Fashion, Luxury, Marketplace, Home & Decor, Eyewear”
Claim-by-claim evidence
Every claim on your page (27)
What the columns mean
- Claim
- The grouped claim, then your exact line beneath it.
- Type
- What kind of claim it is: category, segment, outcome, capability, quality or proof.
- Placement
- Where it sits on your page: hero, section or body copy. Hero claims weigh most in the index.
- Same claim
- Share of the competitors making this exact claim. Drives ownership and ownable share.
- Same territory
- Share of the competitors with any claim in the same buyer-facing territory. This is what the index is scored on.
- Sayability
- Whether a competitor could truthfully make the same claim: anyone could, copyable with effort, or hard to copy.
- Relevant
- Whether buyers decide on this. A unique claim nobody buys on is not ownable.
- Ownership
- Commodity: 60% or more of the set says it. Contested: 20–59%. Unique: under 20%, owned when it is also hard to copy.
Tap a column to sort by it; tap again to reverse. Sorted by Same claim, highest first.
Auto-generated tags enrich catalogue data “Generative tagging, read straight off the image, and long-tail pages that finally rank: the catalogue earns its own traffic” | capability | Section | 67% | 100% | Anyone could say it | Yes | Commodity |
Lifts average order value / units per order “up to 37% AOV · +31% units per transaction” | outcome | Section | 67% | 67% | Anyone could say it | Yes | Commodity |
Multiple-times higher engagement/conversion rate “up to 7.1× engagement” | outcome | Section | 67% | 100% | Anyone could say it | Yes | Commodity |
One unified engine powers all discovery surfaces “Search, recommendation, personalisation, visual and generative AI, built to communicate with each other, so you don't have to” | capability | Section | 67% | 67% | Copyable with effort | Yes | Commodity |
Infers shopper intent from behavioural signals in real time “THE FEED learns from what she does” | category | Hero | 33% | 67% | Copyable with effort | Yes | Contested |
Works without shoppers describing what they want “UNDERSTANDING stops asking the merchant too” | category | Hero | 33% | 67% | Copyable with effort | Yes | Contested |
Builds a live per-shopper preference profile “An intent model, patented in the US and EU, turns them into a live preference profile per shopper” | proof | Section | 33% | 100% | Copyable with effort | Yes | Contested |
Improves paid acquisition efficiency/spendgrouping uncertain “compounding, not zombie spend traffic” | outcome | Section | 33% | 67% | Copyable with effort | Yes | Contested |
Reads visual attributes from images, no tagging needed “Deep learning reads style, pattern, texture and context straight from your product images, so nothing depends on tags you don't have” | capability | Section | 33% | 100% | Copyable with effort | Yes | Contested |
Shoppers control how they browse the rangegrouping uncertain “When the rail isn't quite right, your shopper doesn't start over: she steers it. A word typed above the recommendations re-composes them around her journey” | capability | Section | 33% | 100% | Copyable with effort | Yes | Contested |
TikTok/Shein prove algorithmic discovery wins “TikTok Shop reached tens of billions in sales inside three years on exactly that” | proof | Section | 33% | 67% | Anyone could say it | No | Contested |
Understands shopper meaning/intent in searchgrouping uncertain “Sees what shoppers mean” | capability | Section | 33% | 67% | Anyone could say it | Yes | Contested |
Works on any catalogue or verticalgrouping uncertain “If people can choose from a catalogue, the engine can understand it” | capability | Body | 33% | 67% | Anyone could say it | Yes | Contested |
Connects all commercial levers of the P&L “One engine connecting every lever of your P&L” | outcome | Hero | 0% | 67% | Anyone could say it | No | Unique for now |
Automated merchandising on every product page “Every product page becomes a merchandiser that never sleeps” | capability | Section | 0% | 100% | Anyone could say it | Yes | Unique for now |
Cuts merchandising labour cost through automation “up to 35% saving through automation” | outcome | Section | 0% | 0% | Anyone could say it | Yes | Unique for now |
full catalogue understanding “Knows the whole catalogue cold” | capability | Section | 0% | 67% | Anyone could say it | Yes | Unique for now |
Handles unique, one-of-a-kind marketplace inventory “Built to understand where correlation fails: marketplaces where every piece is one of a kind” | capability | Section | 0% | 67% | Copyable with effort | Yes | Unique and owned |
Named retailer revenue-per-session uplift “That understanding was worth +71% revenue per session at Azadea” | proof | Section | 0% | 100% | Copyable with effort | Yes | Unique and owned |
New revenue formats from existing catalogue “New revenue from the catalogue you already own: digital changing rooms, wordless browsing, back-catalogue alternatives” | capability | Section | 0% | 67% | Copyable with effort | Yes | Unique and owned |
Payment tied to measured uplift “Our case studies, and whether we get paid, stand on the same number” | proof | Section | 0% | 0% | Copyable with effort | Yes | Unique and owned |
Personalisation without collecting identifiers or PII “Fifteen years with that problem produced the intent model and an architecture that has never needed a name or an email” | proof | Section | 0% | 0% | Copyable with effort | Yes | Unique and owned |
Ranks new products with no sales history “We see it from meaning, before the first sale” | capability | Section | 0% | 100% | Copyable with effort | Yes | Unique and owned |
Recovers revenue from sold-out pages “up to 45% · +26% recovered from sold-out pages, Pamono” | outcome | Section | 0% | 67% | Copyable with effort | Yes | Unique and owned |
Results proven via randomised A/B split tests “VISII deployments are measured as randomised split tests: a test group against a matched control, inside your live traffic” | proof | Section | 0% | 100% | Anyone could say it | Yes | Unique for now |
The market is shifting toward this approach “That shift has already started. It is what we're building for.” | category | Section | 0% | 67% | Anyone could say it | No | Unique for now |
Understanding is foundational, not a bolt-on feature “Understanding of that kind is not a feature added to a search bar; it is the foundation the whole engine is built on” | quality | Section | 0% | 67% | Anyone could say it | No | Unique for now |
- Auto-generated tags enrich catalogue data“Generative tagging, read straight off the image, and long-tail pages that finally rank: the catalogue earns its own traffic”capabilitySectionsame claim 67%same territory 100%Anyone could say itCommodityAlso on Syte, ViSenze
- Lifts average order value / units per order“up to 37% AOV · +31% units per transaction”outcomeSectionsame claim 67%same territory 67%Anyone could say itCommodityAlso on Syte, Miros
- Multiple-times higher engagement/conversion rate“up to 7.1× engagement”outcomeSectionsame claim 67%same territory 100%Anyone could say itCommodityAlso on Syte, Miros
- One unified engine powers all discovery surfaces“Search, recommendation, personalisation, visual and generative AI, built to communicate with each other, so you don't have to”capabilitySectionsame claim 67%same territory 67%Copyable with effortCommodityAlso on ViSenze, Miros
- Infers shopper intent from behavioural signals in real time“THE FEED learns from what she does”categoryHerosame claim 33%same territory 67%Copyable with effortContestedAlso on Miros
- Works without shoppers describing what they want“UNDERSTANDING stops asking the merchant too”categoryHerosame claim 33%same territory 67%Copyable with effortContestedAlso on Miros
- Builds a live per-shopper preference profile“An intent model, patented in the US and EU, turns them into a live preference profile per shopper”proofSectionsame claim 33%same territory 100%Copyable with effortContestedAlso on Miros
- Improves paid acquisition efficiency/spendgrouping uncertain“compounding, not zombie spend traffic”outcomeSectionsame claim 33%same territory 67%Copyable with effortContestedAlso on Miros
- Reads visual attributes from images, no tagging needed“Deep learning reads style, pattern, texture and context straight from your product images, so nothing depends on tags you don't have”capabilitySectionsame claim 33%same territory 100%Copyable with effortContestedAlso on Miros
- Shoppers control how they browse the rangegrouping uncertain“When the rail isn't quite right, your shopper doesn't start over: she steers it. A word typed above the recommendations re-composes them around her journey”capabilitySectionsame claim 33%same territory 100%Copyable with effortContestedAlso on Miros
- TikTok/Shein prove algorithmic discovery wins“TikTok Shop reached tens of billions in sales inside three years on exactly that”proofSectionsame claim 33%same territory 67%Anyone could say itnot a buying criterionContestedAlso on Miros
- Understands shopper meaning/intent in searchgrouping uncertain“Sees what shoppers mean”capabilitySectionsame claim 33%same territory 67%Anyone could say itContestedAlso on ViSenze
- Works on any catalogue or verticalgrouping uncertain“If people can choose from a catalogue, the engine can understand it”capabilityBodysame claim 33%same territory 67%Anyone could say itContestedAlso on ViSenze
- Connects all commercial levers of the P&L“One engine connecting every lever of your P&L”outcomeHerosame claim 0%same territory 67%Anyone could say itnot a buying criterionUnique for now
- Automated merchandising on every product page“Every product page becomes a merchandiser that never sleeps”capabilitySectionsame claim 0%same territory 100%Anyone could say itUnique for now
- Cuts merchandising labour cost through automation“up to 35% saving through automation”outcomeSectionsame claim 0%same territory 0%Anyone could say itUnique for now
- full catalogue understanding“Knows the whole catalogue cold”capabilitySectionsame claim 0%same territory 67%Anyone could say itUnique for now
- Handles unique, one-of-a-kind marketplace inventory“Built to understand where correlation fails: marketplaces where every piece is one of a kind”capabilitySectionsame claim 0%same territory 67%Copyable with effortUnique and owned
- Named retailer revenue-per-session uplift“That understanding was worth +71% revenue per session at Azadea”proofSectionsame claim 0%same territory 100%Copyable with effortUnique and owned
- New revenue formats from existing catalogue“New revenue from the catalogue you already own: digital changing rooms, wordless browsing, back-catalogue alternatives”capabilitySectionsame claim 0%same territory 67%Copyable with effortUnique and owned
- Payment tied to measured uplift“Our case studies, and whether we get paid, stand on the same number”proofSectionsame claim 0%same territory 0%Copyable with effortUnique and owned
- Personalisation without collecting identifiers or PII“Fifteen years with that problem produced the intent model and an architecture that has never needed a name or an email”proofSectionsame claim 0%same territory 0%Copyable with effortUnique and owned
- Ranks new products with no sales history“We see it from meaning, before the first sale”capabilitySectionsame claim 0%same territory 100%Copyable with effortUnique and owned
- Recovers revenue from sold-out pages“up to 45% · +26% recovered from sold-out pages, Pamono”outcomeSectionsame claim 0%same territory 67%Copyable with effortUnique and owned
- Results proven via randomised A/B split tests“VISII deployments are measured as randomised split tests: a test group against a matched control, inside your live traffic”proofSectionsame claim 0%same territory 100%Anyone could say itUnique for now
- The market is shifting toward this approach“That shift has already started. It is what we're building for.”categorySectionsame claim 0%same territory 67%Anyone could say itnot a buying criterionUnique for now
- Understanding is foundational, not a bolt-on feature“Understanding of that kind is not a feature added to a search bar; it is the foundation the whole engine is built on”qualitySectionsame claim 0%same territory 67%Anyone could say itnot a buying criterionUnique for now
How this was calculated
Sameness measures how much your claims overlap with the sites compared. It does not measure message quality or whether buyers prefer you.
AI-analyzed: an AI read each page on its own and grouped the claims that say the same thing. No score here was written by a model — every number is computed from those groupings in our own code, with the weights below.
How the score is built
| Category | Weight | Yours | What a high score means |
|---|---|---|---|
Messaging Category framing, who it is for, and the outcome promised | 30% | 64 | The most expensive kind of sameness. A buyer cannot tell what job you do that the others do not. |
Claims Attribute and benefit claims — speed, ease, quality, ROI | 30% | 67 | 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 Capabilities and functions the page lists | 15% | 83 | Expected in a mature category, and the least alarming of the six. Feature parity is normal; leading with it is the mistake. |
Proof The kinds of evidence offered: customer logos, numbers, testimonials, case studies, badges | 10% | 20 | 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 Section order, navigation, CTA language and placement | 10% | 43 | The generic SaaS template — hero, logos, three-feature grid, testimonial, CTA. Familiar is not the same as memorable. |
Visual Palette family, imagery style, layout patterns | 5% | 39 | Weighted lowest on purpose: buyers rarely decide on this. Worth knowing, rarely worth fixing first. |
Each site was read on its own first, with no knowledge of the others, so your page gets no benefit of the doubt a competitor’s does not. A category nothing could be measured for drops out and the rest are re-weighted, rather than counted as zero.
What we compared (4 pages read)
What it cannot tell you
The index can find where two pages converge. It cannot say whether a buyer would notice, or which of your reasons to buy actually land. A single check also moves several points between runs, so read the band and the ranking, not the last digit.
Your highest-impact changes
- 1Table stakesYour hero copy says “One engine connecting every lever of your P&L”.
Syte and Miros say it too (67% of the set). Buyers may still need it, but shared ground cannot carry your hero — move it lower and give that space to something only you can say.
- 2Table stakesYour section copy says “Generative tagging, read straight off the image, and long-tail pages that finally rank: the catalogue earns i…”.
Keep the fact, lose the position: syte, ViSenze and Miros all say it too, and your section is spending its first impression on the same territory as theirs.
- 3Table stakesYour section copy says “Every product page becomes a merchandiser that never sleeps”.
This is the set's common ground — Syte, ViSenze and Miros all say it too. It will not set you apart wherever it sits, and in the section it costs you the one place a distinctive claim would be read.
- 4Table stakesYour section copy says “An intent model, patented in the US and EU, turns them into a live preference profile per shopper”.
A buyer with three tabs open reads a version of this on every one of them. Say it further down for the readers who need it; the section should carry a claim they will only find here.
- 5Table stakesYour section copy says “up to 7.1× engagement”.
True of you and true of them: Syte, ViSenze and Miros all say it too. That is why it decides nothing, and why the section is the wrong place to spend it.
- 6Table stakesYour section copy says “That understanding was worth +71% revenue per session at Azadea”.
In the section: Syte, ViSenze and Miros all say it too. Buyers may still need it, but shared ground cannot carry your section — move it lower and give that space to something only you can say.
- 7Table stakesYour section copy says “We see it from meaning, before the first sale”.
In the section: Syte, ViSenze and Miros all say it too. Buyers may still need it, but shared ground cannot carry your section — move it lower and give that space to something only you can say.
- 8Table stakesYour section copy says “Deep learning reads style, pattern, texture and context straight from your product images, so nothing depends…”.
In the section: Syte, ViSenze and Miros all say it too. Buyers may still need it, but shared ground cannot carry your section — move it lower and give that space to something only you can say.
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.
