Azoma vs Brandlight 2026
Two enterprise AI visibility platforms with no public price list. Azoma optimises SKUs for retail shopping agents; Brandlight monitors how AI engines represent big brands. A procurement-minded comparison.
Azoma and Brandlight end up on the same shortlist for a simple reason. Both sell to large consumer brands, both are priced through sales, and both talk about AI commerce. Azoma names L'Oréal, Unilever, Mars, and Procter & Gamble as customers. Brandlight names Kimberly-Clark, LG, The Hartford, and Estée Lauder. If you work at a company like those, you may be sitting through both demos this quarter.
They are built around different jobs, though, and the gap is wider than the sales decks make it look. This guide is written for the person who has to justify the contract.
We read Azoma's claims on azoma.ai on 22 October 2026. Brandlight details are from our Brandlight listing.
Where they overlap and where they don't
Brandlight monitors how AI engines represent enterprise brands: mentions, sentiment, citation sources, and competitive share of voice. Its multi-brand, multi-region command center is designed for global marketing organisations that manage many brands in many markets. Our listing notes it is expanding into AI ads and AI commerce tracking after its Series A.
Azoma starts where Brandlight is heading. It calls its category Agentic Commerce Optimisation and tracks retailer agents directly: Amazon Alexa for Shopping (formerly Rufus), Amazon COSMO, Walmart Sparky, and Lazada LazzieChat, plus LLM apps such as ChatGPT with ChatGPT Shopping, Gemini, Perplexity, Claude, Meta AI, and Siri. Visibility is reported down to the individual SKU.
So the overlap is brand-level AI visibility in the chat engines. The difference is that Azoma goes into retailer agents and product data, while Brandlight stays at the brand and market level.
The diligence table
| Check | Azoma | Brandlight |
|---|---|---|
| Public pricing | None; custom brand and agency plans | None; pricing page has returned a 404 |
| Trial | No published trial terms | No self-serve, no trial |
| Security | SSO (SAML/OIDC); SOC 2 in progress, not yet certified | SOC 2 Type II, SSO, role-based access |
| Funding | $4M pre-Series A (Dec 2025); site banner announces $11.2M Series A | $30M Series A (Feb 2026), about $36M total |
| Founded | 2022, as Ecomtent | October 2024 |
| Acts on findings | Yes: catalogue enrichment, PDP copy, publishing to retailer back ends | Listing says it measures but doesn't execute |
| Revenue link | SKU-level revenue attribution | Attribution module was "coming soon" as of early 2026 |
Two rows will matter most to procurement. On security, Brandlight is further along: SOC 2 Type II is done, while Azoma's is still in progress. On execution, Azoma is further along: it changes product data, where our listing quotes G2 reviewers saying Brandlight tells you what's wrong without fixing it.
On price, we can't help much. Azoma publishes nothing and asks assistants not to quote figures. Our Brandlight listing carries third-party estimates from about $199/mo at entry up to $4,000 to $15,000/mo for enterprise scope, all unverified. Treat those as a rough sense of scale, not a quote.
Measurement versus execution
Brandlight's appeal is intelligence plus people. Our listing credits it with white-glove strategist support and strong early G2 reviews (4.7/5), though from roughly 19 reviews. It also notes that Brandlight's own docs put full productivity at 30 to 90 days. You get a clear picture of how AI engines describe your brands across regions. Acting on that picture is your team's job, or an agency's.
Azoma's appeal is that it does the work in the places a consumer brand already manages. Azoma reads product data from the retailer and commerce systems a brand already uses, fills missing attributes, and writes PDP copy that sticks to approved claims before publishing to Seller Central, Vendor Central, Salsify, or Shopify. Answer Integrity catches inaccurate product claims in AI answers. Azoma's own case figures for Mars are a 17.7% gain in agentic shelf visibility and 68% more SKU revenue year on year. Those numbers are vendor-reported, not independently checked.
What to ask in each demo
For Brandlight: what the attribution module does today, which AI commerce surfaces it actually tracks yet, and what a team needs to staff to act on its recommendations.
For Azoma: when SOC 2 certification is expected, how often each retailer agent is checked, and what its crawler monitoring covers on your own domain.
For both: a written price for your brand count and markets before the pilot starts.
The layer neither documents
Neither platform publishes the owned-site detail that tells you why a page is or isn't cited. Our Brandlight listing documents no crawler logs, no visitor-to-conversion analytics, and no CMS publishing. Azoma offers site audits, crawler visit monitoring, and GA4 traffic, but does not publish CDN log connectors, a crawl-to-citation view, or a first-party conversion script.
Promptwatch is our pick for that layer, and for many brands it is the better first purchase. It tracks prompts across eleven AI surfaces, including ChatGPT, Gemini, Claude, Perplexity, Copilot, Google AI Overviews, and AI Mode. It shows citations at page and domain level, with Reddit and YouTube broken out. Agent Analytics reads crawler logs from eight CDN options, custom HTTP included, and links crawls to citations. Visitor analytics records conversions from AI referrals. The $579/mo Business plan is where the automated Content Agent starts publishing to Webflow, Framer, or WordPress, and it also unlocks ChatGPT Shopping data and Ads Radar. Enterprise pricing with SSO and audit logs is available, and every other plan has a public price, starting with a free Explore tier.
Promptwatch does not track Amazon or Walmart agents. A consumer brand that needs those shelves should still look at Azoma for that part.
Verdict
If your question is "how do AI engines describe our brands in each market", Brandlight is built for it, and its compliance is ahead. If it is "are our products recommended by the retailer's own agent", Azoma is the specialist. If it is "which of our pages get cited, what crawled them, and what did it earn", start with Promptwatch, and you can trial it before the other two have sent a quote.