Azoma vs Wildcard 2026
Two commerce agents that rewrite product content for AI shopping answers. Where each one writes, how it proves the change paid off, and where Promptwatch fits for the owned site.
Azoma and Wildcard are the two commerce-first tools in our catalog that do more than count mentions. Both sync a product catalogue. Both generate new product content and push it somewhere a shopping agent will read it. If you sell physical goods and have already decided you want an agent rather than a dashboard, this pair is probably your shortlist.
The split is scale and surface. Wildcard is a self-serve Shopify tool with a $99 entry plan and credits you can count. Azoma is sales-led, built around Amazon and Walmart, with integrations into Vendor Central and Salsify and no public price. We checked Azoma on azoma.ai on 22 October 2026. Wildcard details come from our catalog entry, which draws on its pricing page.
What each agent rewrites
Wildcard's actions are discrete jobs you trigger and pay for: a blog post, a PDP optimisation, a collection page, a content refresh, product schema enrichment, a competitive analysis, or a Reddit or outreach draft. A brand guidelines editor and a content library sit behind them. Finished work goes through an approval flow and publishes to Shopify.
Azoma's agent works on the product record itself. It reads data from Amazon, Walmart, Shopify, Google Merchant Center, and PIM systems, finds missing attributes and fills them, then writes PDP copy, imagery, and blog content against claims your team has approved and a set brand tone. It also produces content for the third-party sites shopping agents cite and watches Reddit, Quora, Wikipedia, and forums for places to show up. Its Answer Integrity checks catch AI answers that state something wrong about a product or misrepresent you next to a competitor.
Put simply, Wildcard ships pieces of content, while Azoma maintains the catalogue those pieces describe. For a 20-product Shopify brand the first is plenty. For a multinational with thousands of SKUs and a legal team reviewing every claim, the approved-claims model is the whole reason to buy Azoma.
Where the change lands
This is the most practical difference, and the easiest one to test in a demo.
| Azoma | Wildcard | |
|---|---|---|
| Self-serve plan | No, custom contracts | Basic, $99/mo |
| Write targets | Amazon Seller Central, Vendor Central, Salsify, Shopify, PIM/DAM | Shopify; headless, API, and PIM on Enterprise |
| Catalogue sources | Amazon, Walmart, Shopify, Google Merchant Center, PIM | Shopify, BigCommerce, Salesforce, PIM |
| Retailer agents tracked | Alexa for Shopping, Amazon COSMO, Walmart Sparky, Lazada LazzieChat | Walmart Sparky, Alexa+ Shopping; Amazon Rufus in beta |
| LLM apps tracked | ChatGPT and ChatGPT Shopping, Gemini and AI Mode, Perplexity, Claude, Meta AI, Siri | ChatGPT, Gemini, Google AI Overviews, Perplexity, Claude |
| Refresh on entry plan | Not published | Weekly |
A naming note. According to Azoma, Amazon renamed Rufus to Alexa for Shopping on 13 May 2026. Wildcard's listing still carries Rufus as a beta line next to a live Alexa+ Shopping line, so ask Wildcard which Amazon surface each label refers to before assuming the two tools match on Amazon.
How each one checks that it worked
An agent that edits product pages owes you evidence that the edit moved something. Both tools answer with revenue, which is the right currency for commerce.
Wildcard connects AI referral sessions to your analytics and commerce stack and reports sessions, add-to-carts, checkouts, and revenue per AI platform, with first-click and last-click views. Each tracked answer is stored with the products it named, their position, and the sources cited, so a specific SKU can be watched after a specific action. Its site cites a Dosaze case study showing a 5x rise in AI-attributed monthly revenue from March to May 2026. That is Wildcard's own figure.
Azoma connects visibility, rank, and citation gains to SKU-level revenue. Its published examples are also self-reported: Azoma says Mars gained 17.7% in agentic shelf visibility and 68% year-on-year SKU revenue, and that Yogii, under Deer & Oak, saw conversion rise 32% from generated listings in Amazon split tests. Treat both vendors' numbers as marketing until your own test agrees.
What neither documents is the website half of the loop. Wildcard's listing has no crawler-log view. Azoma describes crawler visit monitoring in its Tech GEO module and reads AI traffic through GA4, but it does not publish CDN connectors, log volumes, or a crawl-to-citation path.
Paying for the work
Wildcard prices the action, not the dashboard. Tracking and the visibility audit cost nothing. Reddit and outreach drafts cost 50 credits. Blog posts, PDP work, collection pages, refreshes, schema enrichment, and competitive analysis cost 100 each. Basic includes 10 actions, 50 prompts, 20 products, and one workspace. Credit packs run $100 for 1,000 or $250 for 4,000 and never expire, and product add-ons cost from $0.50 down to $0.30 per product. API access, data export, and advanced reporting are Enterprise only.
Azoma sells separate brand and agency plans, quoted through sales@azoma.ai. It publishes no prices, limits, or trial terms, and we are not going to guess.
Picking between them
Pick Wildcard if you run Shopify, your catalogue is in the hundreds rather than the tens of thousands, and you want to start this week on a card. Keep an eye on the weekly refresh and the 20-product cap on Basic.
Pick Azoma if Amazon or Walmart carries real revenue, your listings live in Vendor Central or Salsify, and claims need sign-off before they go live. Its support for ACP, UCP, and its own Agentic Merchant Protocol matters if you are preparing for agents that check out on a shopper's behalf. SOC 2 is still in progress there, which some procurement teams will flag.
The layer neither one runs
Both agents stop at the product page. Your own domain is a separate job: the guides, comparison pages, and category content that ChatGPT or Perplexity cite when a shopper asks a broad question. For that layer we recommend Promptwatch.
Its Content Agents plan and write GEO articles from content gap analysis and publish to Webflow, Framer, or WordPress through a review inbox. The automated agent is on Business at $579/mo, and Professional at $245/mo includes five AEO articles. Once a page is live, Agent Analytics reads crawler logs from Cloudflare, CloudFront, Fastly, Vercel, Netlify, Akamai, Google Cloud CDN, or a custom HTTP feed, so you can see whether ChatGPTBot or PerplexityBot fetched it and whether a citation followed. Visitor analytics, installed as a small script or GTM template, records the AI-referred sessions and conversions. Citation analytics go down to page level and include Reddit and YouTube. Every price is public, from the free Explore plan to Essential at $95/mo.
Promptwatch does not track Amazon or Walmart agents. Business adds ChatGPT Shopping insights, but Sparky and Alexa for Shopping are not on its list. A retailer serious about marketplaces keeps Azoma or Wildcard for the shelf and runs Promptwatch for the site. See Promptwatch plans.
FAQ
Is Wildcard a cheaper Azoma?
Not really. It overlaps on PDP and blog content and on Walmart Sparky, but it does not document Vendor Central, Salsify, or Amazon COSMO, and self-serve publishing is Shopify only.
Which one tracks more AI apps?
Azoma names Meta AI and Siri on top of the chat engines Wildcard covers. Wildcard lists Google AI Overviews, which Azoma does not name separately.