What’s new

With the new Hub-and-Spoke model, you take one theme, campaign, or shopper moment and turn it into a set of connected “spoke” pages. Instead of a single page for “holiday gifts” or one landing page for “summer essentials,” you build a complete experience around how people actually shop.

Optiversal agents identify campaign opportunities, suggest the hub-and-spoke structure, and recommend the pages to create — so your team edits the strategy in bulk instead of reviewing every page one by one, then publishes in one click. The content is built for AI search and conversational discovery, but works just as well across email, social, ads, affiliate, and seasonal marketing.

Shoppers want more guidance when they buy, especially when comparing options or shopping for someone else. That’s one reason discovery is shifting to LLMs like ChatGPT, where shoppers ask in plain language and keep refining based on what matters to them.

With Conversational Filters, Optiversal brings that guided experience to your site. Instead of a blank search bar or a long list of rigid filters, it suggests the next best question to ask about a product — reducing friction and increasing purchase confidence.

The Seasonal Calendar lets you upload the key moments your team cares about all year — major holidays, retail events, promotional windows, product launches, or emerging micro-moments like Summerween. Once those dates are in Optiversal, our content strategy agents use them to recommend relevant hub-and-spoke campaigns before your team plans every asset by hand, so you react to trends as they happen instead of missing the moment.

You can set when pages go live or stay hidden, and have recurring moments automatically resurface at the same time next year. Both the Hub-and-Spoke model and Seasonal Calendar are included for Optiversal customers — a great place to start for holiday planning.

Modern AI engines don’t just pull recommendations from a static database — they crawl the live web like lightning-fast researchers compiling a custom shopping report. That means your Optiversal pages act as primary research sources for AI, not just drivers of Google clicks.

We now track that compounding value by showing exactly which pages AI uses as a research resource when making recommendations. Because LLMs favor highly structured, context-rich content — like Optiversal’s review-synthesized and top-rated pages — you can pinpoint your biggest “AI magnets” and see which categories carry the most authority in AI ecosystems.

This API bridges our enrichment engine and your core retail tech stack. Automatically pull enriched product data, detailed attributes, and optimized copy directly into your PIM, CMS, and e-commerce platforms — no manual re-keying.

AI search agents can only recommend your products when your data is deeply detailed, making enriched attributes a prerequisite for discovery. We’ve expanded enrichment beyond Google, Meta, and OpenAI to fully support Microsoft Ads/Bing and Instagram — so you can feed every major search engine, LLM, and social commerce algorithm the granular data they need to surface your brand to high-intent shoppers.

Incomplete or inaccurate attributes get products buried in search or rejected by ad platforms. The new Attributes view shows the coverage and impact of enrichment for the Google Merchant Feed — monitoring coverage from baseline through post-enrichment and highlighting the volume of automated edits.

Attribute deltas appear on the product detail view for a side-by-side “before and after” per SKU, so your team can quantify the value of optimization and maintain brand consistency. You can view, edit, and export enriched values right from the dashboard.

We’ve simplified configuration and laid groundwork for upcoming enrichment features in Settings.

The new Product Attributes tab gives you total control over the information that defines your catalog — for entry or discovery of enrichment attributes.

Better SEO leads to better AEO (Answer Engine Optimization), so we’ve rolled out automated PDP optimizations that improve both user experience and AI discoverability.

PDP optimization now also does persona optimization: our AI identifies the top three shopper personas per product, generates tailored descriptions and summaries for each, and crosses seasonality with personas so the right message hits the right shopper at the right time.

Found in your Collection Settings, this dropdown controls the strictness of search results — cast a wide net or find the one needle in the haystack. All collections default to “Medium.”

Search is becoming a conversation, and we’re making sure your products speak the language. We capture FAQs (“What makes this laptop good for college?”), occasions (Back to School, Graduation), technical specs (256GB RAM, 17″ display), and contextual data like style, keywords, and themes.

The new Feature Alert tab lives right in your portal — your home for staying informed about updates and newly released tools. Quickly view recent releases, learn how to use new features, and access related tools without leaving the dashboard.

New export capabilities on the AI Discovery page let you pull the raw data driving our brand-health screen, along with the raw responses and insights for each prompt you’ve configured.

This brings GMC enrichment feeds directly to the Feeds page — download feed files and view detailed enrichment stats. Currently applicable to full/continuous enrichment customers.

A suite of improvements across the portal to make performance data clearer and faster to work with.

The AI Discovery link has been added permanently to the main side navigation, so you can reach the tool immediately from the dashboard or any other page. Visible to customers with the AI Discovery feature enabled.