ChatGPT, Perplexity, and Google AI Overviews are now the first stop for product research and comparison. AIVZ shows you whether your brand surfaces in those conversations, where you're losing to competitors, and what to fix on the PDP, the category page, and the brand-level signals.
The shopper journey has changed. The first query isn't a Google search anymore — it's a question to ChatGPT, Perplexity, or Google's AI Overview. "What's the best running shoe for flat feet?" "Compare Hims vs Roman vs Keeps for hair loss." "What sustainable activewear brands are people recommending in 2026?"
The AI engine writes the comparison. The shopper reads it. The shopper picks the brand the AI led with — or the brand the AI mentioned positively when others got hedged.
If your brand isn't in that comparison, you're invisible. If your brand is in it but described inaccurately — wrong price tier, wrong product positioning, wrong differentiator — that's worse than invisible.
A scan tells you, per platform, when shoppers ask AI about your category.
Citation monitoring logs the actual summary text, so you can see whether the engine's description matches what you'd want a sales rep to say.
AIVZ's per-platform competitor analysis surfaces the structural reasons — schema completeness, review density, third-party citation, entity recognition — that the AI is leaning toward someone else.
Each PDP and category page gets its own 0–100 score across the three layers AI engines use: Access, Understanding, Extractability. Roll-ups by collection, brand, and storefront. Watch the trend per product when you re-scan after a fix.
Learn about the AI Visibility ScoreTrack presence on AI engine responses to comparison-style queries you specify ("best [category] for [use case]", "[your brand] vs [competitor]", etc.). Per-engine, per-query, on schedule.
Learn about citation monitoringSee how your brand scores against named competitors — across Perplexity, ChatGPT, AI Overviews — for the queries that drive purchase intent in your category. Identifies the structural reasons (schema gaps, review density, entity strength) the AI is favoring another brand, so you can close the gaps.
Learn about competitor analysisMost e-commerce sites don't run on WordPress. We know. So here's the plain version of where AIVZ stands on your stack.
Scanning + scoring works on every platform AIVZ can reach over HTTP. Shopify, BigCommerce, Wix, Webflow, headless commerce, custom builds — full diagnostic value with no integration needed.
Queueing fixes, generating fix code, packaging deployment-ready output works on every platform.
"We apply the fix to your live site" — Live on WordPress today. Beta on Shopify, BigCommerce, Wix, Webflow, and headless. See the table below.
| Platform | Status | What this means |
|---|---|---|
| WordPress | Live | AIVZ writes schema, FAQ blocks, summary blocks, llms.txt, and answer blocks directly to your site via the AnswerEngineWP plugin. |
| Shopify | Beta | Adapter functional; on-platform validation in progress; available for early-access agency partners. |
| BigCommerce | Beta | Adapter in active development. |
| Wix | Beta | Adapter in active development. |
| Webflow | Beta | Available via MCP/CLI today; native adapter in Beta. |
| Headless / custom | Beta | MCP server + CLI available today; integrate with your build pipeline. |
| Squarespace | Roadmap | Not in Beta yet. |
If your team has engineering capacity, the MCP server and CLI route gives you full execution capability today on any stack — including headless commerce. If your team would rather wait for a native adapter, the Beta queue is publicly tracked at /changelog.
Of the 93 factors AIVZ measures, the subset that drives the largest score lift on e-commerce sites is concentrated in four areas.
| Area | What it covers |
|---|---|
| Product schema completeness | Product JSON-LD with offers, aggregateRating, brand, sku, gtin, availability, priceValidUntil — the fields that AI engines ingest into their product graphs. |
| PDP answer-block structure | Front-loaded benefit summary, FAQ block (sizing, materials, returns), comparison-ready bullet list of differentiators. |
| Brand entity disambiguation | sameAs links, knowledge-graph signals, named-author / brand-spokesperson citation patterns. |
| Off-site citation density | Press mentions, third-party reviews, comparison content — all of which compound into the AI's ranking of your brand vs. competitors. |
The first three are on-site work AIVZ orchestrates and (on supported platforms) executes. The fourth is off-site authority — AIVZ measures it but doesn't generate press for you. That's where related ecosystem tools come in: Guestify builds podcast and interview citation surface area; AIVZ scores the impact.
Or start free — 5 credits, Citation Core 11 only, no card required.
Diagnose and Orchestrate work fully — you get the AI Visibility Score, citation monitoring, competitor analysis, and the prioritized fix list with no integration needed. Execute (where AIVZ writes the fix to your live storefront) is currently in Beta on Shopify; native adapter graduating to Live is a current-quarter target. In the meantime, fixes export as deployment-ready Liquid snippets you can apply through your existing Shopify dev workflow.
Same answer as Shopify — Diagnose and Orchestrate fully today; Execute in Beta with native adapter in active development.
No. AIVZ is companion-not-replacement. We add the AEO layer — citation extractability, AI engine schema variants, answer-block structure — on top of whatever SEO/schema app you already run. We never overwrite their output.
Yes. You define the comparison-intent queries you care about ("best [category] for [use case]", "[brand] vs [competitor]", "alternatives to [competitor]", etc.) and AIVZ tracks your presence and the engine's summary text for each query, on schedule, per engine. Higher-tier plans include more queries and more tracked engines.
The base Product JSON-LD is the same, but AI engines weight specific fields more heavily — gtin, aggregateRating, priceValidUntil, availability, and brand entity completeness all matter more for AI citation than for traditional ranking. AIVZ surfaces gaps in these specific fields in the audit and (on supported platforms) generates the missing schema automatically.
Drop in the URL of one of your bestsellers — or a category page where you suspect you're not converting AI-driven traffic. AIVZ returns the AI Visibility Score, the citation monitoring read for shopping-intent queries in that category, and the top three structural fixes ranked by score impact. Free, no signup.
