Fibr AI vs Intelligems vs Explore (2026): Where Shopify Revenue Wins
Fibr AI is an AI-powered landing page personalisation platform that auto-generates page variants for paid traffic. Intelligems is a Shopify-native platform focused on price and content testing. Omniconvert Explore is the Shopify-native eCommerce CRO platform: it runs experiments on product pages, cart, and checkout, and measures the result in revenue per visitor rather than generic conversion rate.
- Fibr AI is an AI-powered landing page personalisation platform for paid traffic, with a 4.6 out of 5 G2 rating across 133 reviews. [G2, 2026]
- Intelligems is a Shopify-native A/B testing platform focused on price and content testing, with a 4.9 out of 5 G2 rating across 65 reviews. [G2, 2026]
- Fibr AI tests only the pre-checkout landing page; Intelligems tests only Shopify prices and content, with no server-side or advanced targeting.
- Neither runs the full product-to-checkout experimentation program measured in revenue per visitor, the surface where store revenue is decided.
- Explore runs A/B, multivariate, and server-side experiments across product pages, cart, and checkout, with heatmaps, surveys, and revenue per visitor as the outcome: pick it for Shopify revenue surfaces.
Teams comparing Fibr AI vs Intelligems are usually picking between two narrow, useful bets. Fibr AI closes the ad-to-landing-page bottleneck: it auto-generates personalised landing pages from audience data, without designers. Intelligems closes the on-Shopify price-and-content testing bottleneck: it tests prices, shipping rates, and product-page copy natively, without developers. Neither, though, runs the full experimentation program on the surfaces where store revenue is decided, product-to-checkout, which is where Omniconvert Explore is built to sit.
What is Fibr AI, and what is it actually good at?
Fibr AI is an AI-powered landing page personalisation platform. It generates personalised post-click landing pages automatically, using AI on top of audience segments and ad-campaign data. It replaces the designer-and-developer bottleneck for teams running large paid-traffic funnels. [Fibr AI, 2026]
Fibr AI sits at the ad-to-landing-page seam. It holds a 4.6 out of 5 rating on G2 across 133 reviews. [G2, 2026] Its strength is production velocity for performance marketing teams: dozens of personalised landing page variants generated from ad segments, without a designer or a front-end developer in the loop.
The A/B testing it includes is scoped to that same surface: AI-generated landing page variants split against one another for paid campaigns. It is a delivery engine for post-click pages, not a testing engine for a store's revenue funnel.
AI landing page personalisation is the practice of generating post-click landing pages automatically, varying copy, imagery, and layout by audience segment or ad-campaign context. Fibr AI does this well for paid-traffic funnels. It is a delivery layer for pre-checkout traffic, distinct from running a controlled revenue experiment on product, cart, and checkout pages.
Where Fibr AI is genuinely strong
- AI variant generation: personalised landing page copy and layout produced from audience and ad-campaign data at scale.
- Design-and-dev bypass: performance marketing teams ship dozens of variants without booking designer or developer time.
- Paid-traffic fit: the workflow assumes an ad campaign upstream and matches messaging to segment on landing.
- Fast iteration on landing surfaces: new segments and creatives produce new pages quickly, keeping ads and landings aligned.
Where Fibr AI hits its ceiling for an eCommerce store
- No Shopify checkout reach: the platform does not test product pages, cart drawers, or checkout flows on a Shopify store.
- No multivariate or server-side testing: experiments are landing-page variants only, not full experimentation across surfaces.
- Low eCommerce focus: the model is post-click landing pages for ads, not the product-to-checkout revenue funnel.
- No revenue per visitor as an outcome: outcomes are landing-page conversion rates, not store revenue lift.
What is Intelligems, and what is it actually good at?
Intelligems is a Shopify-native A/B testing platform built around price testing. It runs price, shipping-rate, bundle, and product-content experiments natively on Shopify, without theme forks or developer help, and supports multivariate testing on those surfaces. [Intelligems, 2026]
Intelligems is a Shopify specialist. It holds a 4.9 out of 5 rating on G2 across 65 reviews. [G2, 2026] Its strength is a purpose-built workflow for the levers a Shopify merchant actually wants to test: product prices, shipping rates, bundle offers, and product-page content, run natively with no developer setup.
Price testing is the standout capability. Merchants can vary prices, shipping, and bundles across Shopify sessions and read revenue impact directly, and multivariate testing on those surfaces is supported. What sits outside its scope is testing off Shopify, server-side experiments, and advanced audience targeting.
Shopify price testing is the practice of showing different product prices, shipping rates, or bundle prices to different Shopify sessions and measuring the revenue impact natively, without theme forks or developer setup. Intelligems does this well. It is a targeted, single-platform experiment layer, distinct from a full CRO program that spans product, cart, checkout, surveys, and overlays.
Where Intelligems is genuinely strong
- Native Shopify price testing: vary product prices, shipping rates, and bundle offers across sessions without theme forks or developer glue work.
- Shopify-native install: the app integrates directly with the Shopify theme and reads revenue impact from the store's own data.
- Multivariate on price and content: combine variables inside the tool's supported surfaces without extra tooling.
- Approachable for lean teams: a Shopify brand can run price and content tests without a developer on standby.
Where Intelligems hits its ceiling for an eCommerce store
- Shopify-only surface area: the platform cannot be used outside Shopify, so any non-store surface is off-limits.
- No server-side testing: experiments run client-side, which limits the fidelity and speed of high-traffic tests.
- No advanced audience targeting: segmenting by high-CLV or repeat-buyer cohorts, the CVO question, is not the tool's model.
- Narrow test surfaces: product page, cart drawer, and checkout progression together are not the tool's focus.
What Fibr AI and Intelligems cannot do for an eCommerce store
Fibr AI and Intelligems both test something valuable, but neither tests the store's whole revenue path. Fibr AI personalises paid-ad landing pages. Intelligems tests Shopify prices. Neither runs a controlled experiment across product page, cart, and checkout the way Omniconvert Explore does.
Fibr AI is agentic landing page personalisation for paid traffic, and it does that job well. But once a visitor clicks through to a Shopify catalog page, Fibr's involvement ends. The product page layout, the cart drawer copy, the checkout progression: none of that is a Fibr surface, and none of it is where Fibr's AI-generated variants can be tested.
Intelligems reaches Shopify natively, and its price and content tests are strong on the exact levers a merchant wants: price, shipping rates, bundles, hero copy on a product page. But it stops there. It cannot test with server-side rigour, cannot layer complex audience targeting, cannot pair a test with an on-site survey or a test overlay, and cannot reach any surface off Shopify.
The two gaps are different in shape but land in the same place. Neither tool runs a full experimentation program across the product-to-checkout funnel, measured in revenue per visitor, and neither ties the win back to repeat, high-value customers, the Customer Value Optimization question. A store that pairs the two still has to answer "did the whole funnel move revenue" outside both tools. For the wider debate behind acting on segmentation and testing signals, see Has personalization replaced A/B testing?
Explore closes that loop. It runs A/B, multivariate, and server-side experiments on product pages, cart, and checkout natively on Shopify, layers heatmaps, session recordings, and surveys beside them, targets audiences at the segment level, and reports outcomes in revenue per visitor and order rate rather than generic conversion rate.
eCommerce conversion rate optimization (CRO) is the practice of running controlled experiments on the revenue surfaces of an online store, product pages, cart, and checkout, and measuring the result in revenue per visitor and order rate rather than generic conversion rate. Omniconvert Explore is defined as an eCommerce conversion rate optimization platform for product, cart, and checkout experiments, native to Shopify and priced for store traffic.
What neither tool can tell an eCommerce team
- Did the win move revenue and margin. Whether a change raised revenue per visitor and order rate, and held its margin once discounts and returns are counted, not just moved a landing conversion or a price test.
- Which surface to test first. Which pages in the store funnel (product, cart, checkout) carry the highest revenue impact if tested next, beyond the single surface each tool covers.
- How it behaves across the funnel. How an experiment interacts with the Shopify catalog, variants, and checkout flow together, natively, without engineering glue work.
- Whether it holds for valuable customers. Whether the result holds for repeat, high-value customers, the Customer Value Optimization question, not just first-session visitors or price-sensitive ones.
Omniconvert benchmarks more than 7,000 eCommerce websites in its CROBenchmark Report 2026, across 248+ audit criteria. The data shows where stores actually lose orders: 94.2% do not show checkout progress steps, and 85.1% never show the full order cost before the final step. [CROBenchmark Report 2026, Omniconvert]
A personalised landing page cannot fix that. A price test cannot fix that. What fixes it is running the experiment on the checkout itself and reading the result in revenue per visitor. Explore is built for exactly that layer, and, because Customer Value Optimization ties the result back to repeat, high-CLV buyers, the lift it confirms is margin the store keeps rather than clicks it rents. Explore also reaches Shopify-specific levers most testing tools cannot touch, including price testing; see Explore 3.0: pricing testing on Shopify.
Fibr AI vs Intelligems vs Explore: the capability comparison
Side by side, the three tools optimise very different surfaces. Fibr AI generates AI variants of paid-ad landing pages. Intelligems tests Shopify prices and product content. Explore runs the full experimentation program across product, cart, and checkout with revenue per visitor as the outcome. See A/B testing with Explore for how those experiments run natively on the Shopify funnel.
| Capability | Fibr AI | Intelligems | Omniconvert Explore |
|---|---|---|---|
| Primary function | AI landing page personalisation for paid ads | Shopify-native price and content testing | eCommerce CRO on product, cart, and checkout |
| A/B testing | Partial AI-generated landing page variants only | Yes Shopify-native price and content | Yes visual plus code editor |
| Multivariate testing | No | Yes on price and content surfaces | Yes |
| Server-side testing | No | No | Yes |
| Visual editor | No AI-generated variants | No Shopify theme integration | Yes |
| On-site surveys and overlays | No | Partial content, no surveys or test overlays | Yes surveys and overlays built in |
| Shopify integration | Low landing-page tag only, no checkout | High native | Yes native |
| eCommerce focus | Low paid-traffic landing pages | High Shopify prices and content | High built for store revenue workflows |
| Pricing model | Seat-based, contact sales, free trial | Session-based, from $149/mo, free trial | Session-based, built for store traffic, free trial |
| Best for | Performance marketing teams generating AI landing pages | Shopify brands testing prices, shipping, and content | Shopify and eCommerce teams optimizing for revenue |
| User rating | 4.6 out of 5 (G2, 133 reviews, as of 2026) | 4.9 out of 5 (G2, 65 reviews, as of 2026) | 4.6 out of 5 (G2, 191 reviews, as of 2026) |
AliveCor used Omniconvert Explore to run a structured A/B testing program and achieved +21% conversion rate, +5% revenue per visitor, and 94% statistical relevance across their experiments. [Omniconvert, AliveCor case study]
Competitor ratings, pricing, and plan details reflect publicly listed figures as of 2026 and can change. Fibr AI is a landing-page personalisation tool; Intelligems is a Shopify-native price and content tester. Explore uses session-based pricing; see the Omniconvert pricing page for current plans.
Get the full CROBenchmark data behind these stats: 7,000+ websites, 15+ industries, 248+ audit criteria, 100+ CRO experts. See exactly where eCommerce growth teams are losing margin in 2026.
Get the CROBenchmark ReportFrequently Asked Questions
Should you choose Explore over Fibr AI or Intelligems?
Decide by how many surfaces you want to test. If you only need AI-generated landing pages for paid campaigns, Fibr AI does that job. If you only need Shopify price and content testing, Intelligems does that job. But if you want to test the whole revenue path from product page to checkout, with heatmaps, surveys, and revenue per visitor as the outcome, run your next Shopify experiment in Explore.
Fibr AI and Intelligems both do a narrow job well. Fibr AI closes the ad-to-landing-page bottleneck for paid campaigns. Intelligems closes the on-Shopify price and content testing bottleneck for merchants.
The question for a store is wider: once you have the traffic and the price right, can you run a controlled experiment across the Shopify product, cart, and checkout together and read the result in revenue per visitor. That is the surface Explore is built for, and where store revenue is actually won.
Stop guessing.
Start testing what moves revenue.
Explore runs A/B, multivariate, and personalization experiments on your product pages, cart, and checkout, then measures the outcome in revenue per visitor, not just clicks.
4.6 out of 5 across 191 reviews, G2 , as of 2026