Swap Acquires AI Visibility Platform Vizby and Launches Swap Discovery, Owning the Path From ChatGPT Recommendations to Delivery and Returns
Swap has acquired Vizby, an AI visibility tool for Shopify. We explain what Swap Discovery does, from LLMO/GEO measurement to rewriting product information and SKU-level revenue tracking, how to read its numbers, and what merchants should check before adopting it.
Key Takeaways
- On October 1, 2026, Swap Commerce acquired Vizby, a Shopify-native AI visibility platform. It is the company's first acquisition, and Vizby's technology now powers "Swap Discovery," which covers everything from measuring how brands appear in ChatGPT and Gemini to implementing the fixes
- In a crowded AI search optimization (LLMO/GEO) market full of measurement tools, the shift toward execution, writing changes directly into the store rather than stopping at a report, is now clear. It follows the same logic as Sitecore's acquisition of Scrunch in June
- Merchants should check three things: whether visibility is measured by frequency rather than rank, who approves product information that gets rewritten automatically, and how far AI-driven revenue can actually be traced. The deal price and Vizby's customer count were not disclosed
Swap buys Vizby, using its first acquisition to claim the discovery layer
Swap Commerce has acquired Vizby, a Shopify-native AI visibility platform, extending its e-commerce technology upstream into product discovery across AI...
www.citybiz.co"Will AI recommend me?" Sam Atkinson, founder and CEO of New York-based Swap Commerce, says it is the first question every brand asks him about agentic commerce. To answer it in-house, the company made its first acquisition.
According to Swap Commerce's announcement, Vizby is a Shopify-native platform that helps brands understand and improve how they appear and sell across ChatGPT, Gemini, Perplexity, Claude and Microsoft Copilot. Its technology becomes a new layer called "Swap Discovery," placed at the very front of Swap's platform.
Swap Discovery does four jobs. It evaluates how a brand shows up for high-intent prompts (the questions shoppers type into AI), benchmarks it against competitors, identifies the gaps blocking discovery, and generates prioritized actions. citybiz reported that the financial terms were not disclosed.
Swap had already launched its agentic Storefront in May and Checkout+, a paid checkout option bundling free returns and order protection, in July. With this deal, being found by AI, conversational selling, checkout, cross-border delivery and returns all connect within one company's product suite. That is why Swap now calls itself a "discovery-to-delivery" platform.
What Vizby is, as seen through its Shopify app
"We started Vizby because brands could see they were invisible to AI and had no way to fix it," Vizby co-founder Eylon Zefania said in the release. Vizby's founding year, headcount and customer count were not included in the announcement and remain undisclosed.
The Shopify App Store listing offers more detail. The app is already live under the name "Swap Discovery: GEO & AEO", with Vizby AI Ltd. listed as the developer. It carries Shopify's "Built for Shopify" badge for apps that meet its quality standards, and as of October 5, 2026 it had 31 reviews with a 5.0 rating. The app's URL still contains "ai-blog-post-generator," a hint that it started out as a content generation app.
Pricing starts at $79 a month. Plans differ in how many AI assistants are measured and how many prompts each visibility test uses.
| Plan | Monthly price | AI assistants measured | Prompts per visibility test |
|---|---|---|---|
| Business | $79 | 2 (ChatGPT, Gemini) | 50 |
| Growth | $249 | 3 (adds Perplexity) | 150 |
| Scale | $499 | 4 (adds Claude) | 200 |
The entry plan measures only two assistants, ChatGPT and Gemini. Copilot, named in the press release, appears in the listing's integrations but not among the assistants measured in any pricing plan. The app is available in English only.
What "not stopping at the report" actually means
The weightiest line in the announcement is the one that sets Swap Discovery apart from "AI visibility tools that stop at reporting."
As Swap describes it, Swap Discovery executes fixes natively in Shopify. That means generating structured data (markup that lets search engines and AI read content as data) and editorial content, adding schema (markup using the schema.org vocabulary), creating agents.md (a Markdown file that describes a site and gives instructions to AI agents), and auditing product and collection pages. The Swap Discovery product page says merchants can approve each change one by one, or let supported actions apply automatically.
It also attributes AI-driven revenue at the product and SKU level, so merchants can see which products are actually being found and bought through AI alongside changes in visibility.
Execution has become the selling point because measurement is saturated. Plenty of tools now check whether a brand appears in AI answers. Sending a set of prompts to AI and counting how often a brand is named is easy to replicate, and knowing the number does not tell you which part of which product description to rewrite. That is the frustration Zefania describes as having "no way to fix it."
The same pattern has already produced a deal. According to Shopifreaks, Sitecore, an enterprise CMS (content management system) provider, acquired AI visibility startup Scrunch in June 2026. Bloomberg valued the deal at up to $225 million. Folding AI visibility measurement into a platform that rewrites content, so that findings flow straight into fixes, is the same goal Swap is pursuing.
The difference is where measurement gets plugged in. Sitecore connected it to website content; Swap connected it to transactions. A shopper arriving from an AI recommendation can be served by Swap's agentic Storefront, pay and buy return coverage through Checkout+, and have cross-border tax and delivery handled. Swap's claim is that visibility numbers can be tracked on one platform all the way through purchase and return data. Atkinson framed it as "one platform for the full journey, rather than stitching together a collection of point solutions."
That said, the Swap Discovery Shopify app can be installed on its own. Merchants who do not use the Storefront or Checkout+ will evaluate it as one AI visibility app among others that happens to include execution features.
Swap's path from returns infrastructure to agentic commerce
Swap started in returns management and expanded into cross-border commerce, tax and compliance. SiliconANGLE reported that it raised a $100 million Series C from DST Global and ICONIQ in January 2026, bringing total funding to about $149 million according to Tracxn.
| When | What happened | Figures Swap and others cited |
|---|---|---|
| Summer 2025 | Raised a $40 million Series B (led by ICONIQ) | Per TechCrunch |
| January 2026 | Raised a $100 million Series C (DST Global, ICONIQ) | About $149 million raised in total (Tracxn) |
| May 2026 | Launched its agentic Storefront (AIR MAIL brand residency) | Claims 2x the conversion of traditional e-commerce |
| July 2026 | Launched Checkout+ (free returns and order protection as a checkout option) | Says opt-in rates exceed 60% |
| October 2026 | Acquired Vizby and launched Swap Discovery | Deal price undisclosed |
Some of the details shift between sources. This release says Swap was founded in 2023, while the company boilerplate in a Digiday piece published in July and TechCrunch's coverage both say 2022. The brand count was 800+ in that boilerplate and is 1,000+ now. Having built a track record with its Storefront, as in the Willy Chavarria case, Swap is now reaching for the side that brings shoppers in.
How far the numbers can be trusted
The announcement includes two performance figures, and both need their assumptions checked.
The first is Vizby customer VIGO Industries. Starting with almost no measurable AI presence, it improved its schema and content and saw AI sessions rise 91.3% in two weeks, with AI-driven traffic reaching "about 3% of total revenue" (the release's own wording, which leaves unclear whether this is a share of traffic or of sales). Growth from a near-zero base looks large by default, and the absolute numbers after the increase were not given. citybiz also notes that it is a single customer example and not necessarily indicative of other merchants' results.
The second is the claim that "62% of more than 100 brands identified improved brand discovery as their single most important goal for agentic commerce." The cited source, a sponsored Digiday report, describes a survey by Glossy and Swap of 80 brand, retailer and agency respondents. It presents 62% as the share of respondents with significant investments in agentic commerce who named improved brand discovery as one of their leading goals. Both the sample size and the "single most important" wording differ between the release and the original report.
Another caveat is the volatility of AI answers themselves. In research run in November and December 2025, SparkToro's Rand Fishkin and colleagues repeatedly asked ChatGPT, Claude and Google's AI search for the same recommendations and found less than a 1-in-100 chance of getting the same list of brands twice. As Search Engine Journal explained, Fishkin sharply criticized tools that report an "AI ranking position," while noting that how often a brand appears across many responses is relatively stable. His advice is to make providers show their methodology before paying for tracking.
Swap Discovery's product page says it scores each AI assistant separately and that "there is no universal benchmark," which is consistent with that research. Still, how many times each prompt is repeated and aggregated, and how much the results vary, has not been published.
Revenue attribution has limits too. Tracking by SKU only covers visits that can be identified as coming from AI. A shopper who learns a product name from AI and later arrives through search or by typing the URL is not counted as AI-driven revenue. Any causal link between visibility gains and revenue growth has to be read with that gap in mind.
What merchants should check before adopting
Tools that only measure are no longer rare. What separates them is what changes after the measurement.
Start with how the metric is built. Does it measure frequency rather than rank, can you set the prompt mix yourself, and can it show how much results vary when the same test is repeated? As our overview of LLMO explains, AI breaks one question into several searches, so numbers based on a small set of prompts are easily skewed.
Next is governance over product information that changes automatically. Product descriptions and FAQs are read by both people and AI. Decide who approves changes and how much to leave to auto-apply. Wording that touches brand expression or regulated claims, such as Japan's pharmaceutical and cosmetics advertising rules, is safer kept under approval.
Finally, decide whether to consolidate with one vendor or combine specialist tools. Handling everything from discovery to returns on one platform connects the data, but also makes switching harder. As Shopify's latest earnings showed, AI-driven traffic and orders are growing. Even so, the payback outlook depends on which stage you invest in. It is worth weighing alongside how to choose an outside LLMO partner.
Summary
Swap's acquisition of Vizby shows AI visibility moving from standalone measurement tools into systems that rewrite product information and follow through to revenue. After Sitecore folded Scrunch into its CMS, Swap chose to connect visibility to its transaction infrastructure.
The next thing to watch is how large AI-driven revenue grows for merchants using Swap Discovery, and how much Swap discloses about measurement reproducibility and the scope of auto-apply. The open question is who closes the gap between being recommended by AI and actually selling, and with which numbers.
