sameAs links are the stitches that tie your store to your social profiles, your marketplace listings, and your knowledge-graph entry, so AI can confirm they are all one entity rather than a set of coincidences. Without them, your LinkedIn, your Instagram, and your store are three strangers who happen to share a name.
- sameAs links are the stitches that tie your store to your social profiles, marketplace listings, and knowledge-graph entry, so AI knows they’re all you.
- They declare “these accounts are the same entity,” turning scattered profiles into one verified brand.
- Coincidence isn’t recognition: matching names across the web mean nothing until sameAs confirms the connection.
- On Shopify, you add sameAs to your Organization data. Point it at profiles you actually control.
A machine trying to recognise you as an entity is assembling evidence from across the web. The problem is connecting the dots: is the brand on this store the same brand on that LinkedIn, the same one in that directory? sameAs is how you answer that explicitly. It is a property in your Organization data that lists the other places the same entity lives.
What sameAs declares
sameAs says, in machine-readable form, “this entity is also at these URLs.” Your company LinkedIn, your social profiles, your Crunchbase or directory listings, your knowledge-graph entry. Each link is a confirmation that the scattered mentions of your brand all point back to one organisation, not several lookalikes.
Why coincidence is not recognition
Plenty of brands share names. Without explicit links, a machine cannot be sure the “Acme” on your store is the “Acme” with the reviews and the press. sameAs removes that doubt and lets the corroboration accumulate around one confirmed identity. It is the connective tissue that turns separate signals into a single, trusted entity.
| sameAs target | What it confirms |
|---|---|
| Your LinkedIn / company page | The business behind the store is real |
| Your Instagram / social profiles | The brand’s public presence is yours |
| Your marketplace listings | The seller and the store are one entity |
| Your Wikidata / knowledge-graph entry | You’re the recognised entity, not a lookalike |
Getting it right on Shopify
sameAs lives in your sitewide Organization data, which should be a single authoritative sourcenot duplicated by an app. List the profiles you actually control and keep them current; a sameAs pointing at a dead account is a broken stitch. Done right, it is one of the highest-value lines in your entire entity setup, central to whether AI trusts who you are.
A scan is a snapshot. Legibility drifts
A stitched-together entity is never settled. A theme update rewrites your structured data, an app changes a tag, a redesign orphans a page, and the layer that proves who you are regresses silently while the storefront still looks perfect to you. Your store and the web around it change weekly, so a trusted, consistent entity is a moving target, not a one-time pass. That is why serious stores measure, fix, and re-measure, and why we re-scan our own store on a schedule, in public.
Questions people actually ask
What are sameAs links?
sameAs is a property in your Organization structured data that lists other URLs where the same entity exists, such as your social profiles, directory listings, and knowledge-graph entry. It tells a machine that all those places refer to one brand, not several.
Why do I need sameAs if I already have schema?
Your schema describes the entity, but sameAs connects it to the rest of the web. Without those links, a machine cannot be certain your store, your socials, and your listings are the same organisation rather than coincidental lookalikes sharing a name.
Which links should go in sameAs?
Profiles and listings you actually control and that genuinely represent the brand: your company social accounts, reputable directory or company-database entries, and your knowledge-graph entry if you have one. Keep them current, since a link to a dead account weakens rather than helps.
See what a machine sees
You can't tell from your browser whether AI can read your store. You can find out in a few minutes. Run a free scan and see the exact layer the machine reads, and where you're losing the shortlist.
Sources: 2026 industry compilations on AI-search visibility; OpenAI (early 2026) on ChatGPT usage and shopping queries; Adobe Analytics (2026) on AI retail traffic; Gartner (2024) on traditional search. Figures are third-party and current as of mid-2026; we publish our own benchmark data as our scan volume grows.