Last updated on September 15, 2026

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Amit Bachbut
VP of Growth Marketing, Yotpo
15 minutes read
Table Of Contents

Otterly tracks your brand across AI answers. Ask ChatGPT or Gemini a question, and Otterly shows you where you show up. It does this in a clean, simple dashboard. That kind of visibility matters now for any ecommerce brand.

But there’s a gap. Watching where you appear is one job. Changing what AI engines say about you is another job entirely. This guide compares eight tools worth a look beyond Otterly in 2026. We cover what each tool does, who it fits, and where it falls short for a commerce catalog.

Key takeaways

What Otterly does, and why teams start looking elsewhere

Otterly tracks brand mentions and citations across the major AI answer engines. It reports back through a simple dashboard with daily alerts. It’s sold through the Semrush App Center. That reach grew even more once Adobe’s purchase of Semrush closed in April 2026. For a marketer who wants a quick read on AI visibility, Otterly is an easy way in.

Its real limit is scope, not quality. Otterly is built to track, not to act. Closing a visibility gap still falls to your team. You still need to make the content and technical fixes yourself.

That’s often why ecommerce teams look at alternatives. It’s not that Otterly measures things poorly. It’s that they need a tool that also does something about what it finds.

What to look for in an Otterly alternative

A few questions matter more than a features list:

8 best Otterly alternatives in 2026

1. Yotpo Discover

Yotpo Discover is a purpose-built AI-visibility platform for ecommerce. It’s built on Yotpo’s base of real reviews, verified purchase data, and loyalty signals. That includes review, loyalty, and order data built directly into the platform. Discover tracks how products rank inside ChatGPT, Gemini, and Google AI Mode. Then it goes further with three agents that act on what the tracking finds.

The Onsite Agent fixes technical issues like schema, internal links, and catalog crawlability. These issues can make a product page harder for AI engines to read.

The Content Agent writes review-backed content for the brand’s own blog. It also drafts outreach briefs aimed at earning spots on third-party sites AI engines cite. The Activation Agent finds the forums, marketplaces, and communities that show up in AI answers. Then it moves verified reviewers and loyalty members to post real experiences there.

Brands like Beekman 1802 and David Protein work with Yotpo Discover. They use it to keep their product content clear and well organized. That’s the kind of content an AI assistant can find and cite. It helps when a shopper asks for a recommendation.

Strengths: Yotpo Discover is built for commerce from day one. SKU-level logic, hero versus non-hero products, and lifecycle stages are baked in from the start. Three agents act on findings instead of leaving you a dashboard alone. The content engine runs on real customer reviews and order data. Yotpo built it just for ecommerce’s SKU-level complexity.

Worth knowing: brands selling mostly through wholesale or marketplace channels may want to pair Discover with a marketplace-specific tool.

Learn more and request a demo at yotpo.com/discover. Or run a free AI visibility score to see where your brand stands today.

2. Profound

Profound is one of the best-funded AEO (Answer Engine Optimization) tools on the market. It raised $96 million at a $1 billion value.

It started as an analytics tool. Later it pushed hard into action with Profound Agents, no-code tools that research, draft, publish, and track content. Its clients skew toward B2B and fintech, including Plaid, Stripe, Ramp, MongoDB, and DocuSign. Ecommerce isn’t where its depth or client list is strongest. It does have a shopping module aimed at retail, but that’s not the main focus.

Strengths: Profound has built a real, serious action layer, backed by real funding. Its agents are already shipped, not just a promise on a roadmap.

Worth knowing: Profound’s agents work from crawled web data, not first-party purchase signals. They’re built for broad marketing use, not commerce logic like hero-SKU performance. Teams new to AEO also report a real learning curve.

How it compares: both platforms act, not just track. The real gap is what feeds the action. Profound pulls from the crawled web. Yotpo’s Content Agent pulls from real customer reviews and mobilizes real shoppers. It’s built around commerce from the start.

3. Brandlight

Brandlight is an enterprise AEO tool for brand-level tracking and control across AI engines. That list includes ChatGPT, Gemini, Claude, and Perplexity. It’s built for Fortune 500 marketing and brand teams focused on reputation and rules. Day-to-day commerce work isn’t the focus. Clients include Kimberly-Clark, LG, and Aetna.

Strengths: Brandlight offers polished, enterprise-ready dashboards. It also has strong reach among large brand teams that need to track sentiment across engines.

Worth knowing: Brandlight works at the brand level, not the SKU level. It watches how a brand appears rather than acting on specific product visibility.

How it compares: Brandlight acts like a command center for brand sentiment at the top level. Yotpo Discover works at the SKU and category level. Specific products get recommended, not just the brand name in general.

4. Triple Whale (via Anteater)

Triple Whale is a well-known ecommerce analytics tool. More than 60,000 brands use it as of 2026, most on Shopify. In early 2026 it bought Anteater to add AI-visibility tracking on top of its analytics suite. So AEO data now sits inside a tool many DTC teams use for revenue tracking.

Strengths: Triple Whale carries real ecommerce credibility and wide reach among Shopify brands. Its AI-visibility data sits right next to the revenue numbers a team already checks daily.

Worth knowing: AEO here is an added feature bolted onto an analytics tool. It wasn’t built from scratch for that job. It stops at tracking and reporting, with no action layer.

How it compares: Triple Whale gives you a score and ties it to revenue. That’s useful homework on its own. Yotpo Discover’s three agents go further and fix what’s causing that score.

5. Scrunch (AXP)

Scrunch’s main product is its Agent Experience Platform. It serves a second, AI-readable version of a brand’s site. That lets AI agents read and cite it more easily.

The idea behind it is simple and real. AI crawlers often can’t read a site the way a person does. Scrunch is most popular with B2B and SaaS companies and technical merchants. Ecommerce is a smaller part of its business.

Strengths: Scrunch tackles a real crawlability problem. The idea is sound and built around that one insight.

Worth knowing: keeping a second site layer running is ongoing work. Setup often needs engineering help, not just a marketer working alone.

How it compares: Scrunch solves a piece of what Yotpo’s Onsite Agent handles. Discover keeps improving the site a brand has, with no second technical layer to maintain.

6. Airops

Airops is a content tool for SEO teams that grew into AEO. It now tracks AI citations across ChatGPT, Perplexity, Gemini, and Claude. It shows which URLs get cited, finds content gaps, and helps write content more likely to earn a citation. It’s built mostly for B2B and SaaS teams running large content programs.

Strengths: Airops delivers real citation tracking alongside a strong content engine, built for teams running big content operations.

Worth knowing: Airops lacks commerce logic, like hero-SKU performance or purchase-intent tracking. Its core use case is B2B content, not product catalogs.

How it compares: Airops tracks citations and helps write more content in general. Yotpo’s Content Agent writes content straight from customer reviews and order data. That’s the kind of proof that may carry more weight with an AI engine putting together a purchase recommendation.

7. ReFiBuy

ReFiBuy calls its category Agentic Commerce Optimization. Its Commerce Intelligence Engine pulls in, cleans up, and pushes out product-catalog data. Then it tracks performance across AI shopping surfaces, including ChatGPT, Perplexity, and Gemini. It’s a technical tool built for ops and data teams at brands and agencies with big catalogs. It’s especially useful in beauty, fashion, apparel, and electronics.

Strengths: ReFiBuy is a serious, well-funded technical player with real traction among catalog-heavy brands. It also offers an AI readiness check, much like Yotpo’s own free score tool.

Worth knowing: ReFiBuy builds data pipes, not marketing results directly. That often needs real work from a marketing team to act on. It also works mostly from catalog data, not customer sentiment.

How it compares: ReFiBuy builds the data pipes. Yotpo Discover puts a brand’s own reviews and loyalty data to work. Those are signals AI engines already tend to trust, and they help one product become the recommended pick.

8. Azoma

Azoma is a full GEO (Generative Engine Optimization) and AEO tool for consumer brands and retailers. It’s strongest on marketplace assistants like Amazon’s Rufus and Walmart’s Sparky. Its standout feature is a “digital twin” simulator. It predicts how an AI assistant might answer a question before content ever goes live. Azoma also generates AI content and tracks multiple platforms. Its enterprise clients include Mars and Colgate.

Strengths: Azoma is a credible, funded, and profitable company with major enterprise clients. The digital-twin test is a useful way to check content before it ships.

Worth knowing: Azoma is built marketplace-first, not brand-first. Its content comes from AI-written copy, not first-party reviews.

How it compares: Azoma optimizes mainly for marketplace AI assistants. Yotpo Discover is brand-first. It covers a brand’s own site, off-site authority, and community signals across ChatGPT, Gemini, and Google AI Mode. Its Content Agent writes from real customer reviews, not AI-written copy.

How to choose between them

Start with what your team needs to do once you know where you stand. A light tracking tool like Otterly does the job well, at low cost. That’s enough if all you need is a daily read on brand mentions. If your team lives inside Triple Whale for attribution, its Anteater-powered visibility layer may be the easiest path. Just remember it still stops at reporting.

Say you need something to close the gaps a tracking tool finds. The right pick then depends on your brand type and your data. B2B and SaaS teams tend to fit well with Profound or Airops. Enterprise brand teams focused on reputation and control often lean toward Brandlight. Marketplace-heavy consumer brands selling on Amazon or Walmart get more from Azoma’s simulator. Catalog-heavy teams with dedicated data staff may prefer ReFiBuy’s pipeline-first approach.

Ecommerce brands often want both tracking and a way to act on it. Yotpo Discover is built around that exact job. It runs on the reviews, loyalty, and order data most ecommerce brands already have. No engineering team or data project is required. Read more in our guide to the best AEO tools and platforms. Or see how AI visibility connects to search in our piece on optimizing for Google AI Mode.

Why AI visibility is worth the attention now

The numbers behind this shift are hard to miss. About 49% of US adults say they’ve used an AI chatbot like ChatGPT or Gemini, per Pew Research Center’s 2026 survey. That puts the audience asking these tools for product picks well past the early-adopter stage.

Traffic from AI sources is also growing fast for retailers. AI-referred traffic to US retail sites rose 393% year over year in the first quarter of 2026, per Adobe Analytics, as reported by TechCrunch.

By March 2026, that traffic was converting 42% better than non-AI traffic, a full reversal from a year earlier, when it converted worse. Visitors from generative-AI sources also spend about 48% more time on site and view 13% more pages per visit than other visitors, per the same Adobe data.

None of this means AI visibility replaces search engine optimization. The two work side by side. That does explain why a growing list of tools exists to help brands track where they stand in AI answers. Otterly is one of them.

The engines behind these answers can pull, weigh, and surface information in ways that aren’t fully public. So a specific claim about how a model ranks a source is best read as an informed guess. It isn’t a settled fact. What you can measure is the outcome. Do a brand’s products show up when a shopper asks an AI assistant for a pick? Does that change after the brand takes action?

Frequently asked questions

Is Otterly a good tool for ecommerce brands?

Otterly works well as an easy AI-mention tracking tool for any brand, ecommerce included, especially teams that use Semrush. Its main limit for commerce is that it reports on visibility but doesn’t help fix the gaps it finds.

What’s the difference between a tracking tool and a platform like Yotpo Discover?

A tracking tool like Otterly shows you where your brand does or doesn’t show up across AI answer engines. Yotpo Discover tracks too. Then it runs three agents, Onsite, Content, and Activation. Together they make the fixes and content moves needed to change what shows up next.

Which AI engines does Yotpo Discover track?

Yotpo Discover tracks how products show up across ChatGPT, Gemini, and Google AI Mode. It’s built to work next to a brand’s existing search engine optimization work, not replace it.

Do I need an engineering team to use these tools?

It depends on the tool. Scrunch and ReFiBuy often need technical help to set up well. Yotpo Discover and Otterly are both built for a marketer to run without an engineering team.

Can I use more than one of these tools at the same time?

Yes, and many brands do. It’s common to pair a light tracking tool with a marketplace tool like Azoma. That works well if a brand sells a lot on Amazon or Walmart. Some teams run Yotpo Discover for brand-first AI visibility alongside a marketplace tool for that separate surface.

Still deciding between watching your AI visibility and doing something about it? Start by seeing where you stand. Get a free AI visibility score to check how your products show up across ChatGPT, Gemini, and Google AI Mode. Or request a demo of Yotpo Discover to see how the three agents work on your own catalog.


avatar
Amit Bachbut
VP of Growth Marketing, Yotpo
September 15th, 2026 | 15 minutes read

Amit Bachbut is the VP of Growth Marketing at Yotpo, where he leads teams bringing more brands onto the platform. With over 20 years of experience driving SEO, CRO, paid media, affiliate marketing, and analytics at global SaaS companies and direct-to-consumer brands, Amit combines hands-on expertise with a proven leadership track record.

 

Before joining Yotpo, he was Director of Growth Marketing at Elementor, scaling user acquisition and brand marketing for one of the world’s leading website-building platforms. Amit has lectured on digital marketing at Jolt, sharing his knowledge with the next generation of marketers. A certified lawyer with a degree in economics, he brings a uniquely analytical and strategic perspective to growth marketing. Connect with Amit on LinkedIn.

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