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WPProductBotWPProductBotWPProductBot

AI SEO for WooCommerce catalogues.

Get found in Google and in AI answers.

WPProductBot writes, structures and publishes WooCommerce content that both search engines and AI assistants can read — and then measures whether your brand is actually named in their answers.

Verified product facts, answer-ready structure, articles and campaigns from one platform. Built for shops with technical catalogues, specifications and documentation.

Log in to betaSee how it works

WPProductBot is currently available to invited beta users only.

Built for WooCommerceGEO-ready structureSource-verified factsDraft-first workflowSecure WordPress connection

What WPProductBot is

One workspace that connects to your WooCommerce shop and takes responsibility for everything your shop says: product pages, articles, campaigns — and the measurement that proves whether AI engines and Google actually name you.

1

It starts with verified facts

Manufacturer pages, datasheets, manuals and price lists go in. Every specification comes out with a source, a location in that source and a verification status. Nothing is invented and conflicts are shown, not smoothed over.

2

It writes for humans and for engines

The same dataset becomes a product page, a buying guide and a social campaign — in your writing style, with schema, FAQ blocks and complete SEO fields, so an assistant can lift a complete answer from your page.

3

It measures whether it worked

Scans show per prompt and per engine whether your brand, a competitor or nobody is named. The recommendations become article drafts, and page performance shows what those pages earn in Google.

What it is not

  • Not a bulk spinner of manufacturer text
  • Not a plugin that publishes behind your back
  • Not a black box: every fact is traceable

Buyers now ask an assistant before they open a shop.

ChatGPT, Gemini, Copilot and Google AI Overviews answer the question first and name only a handful of brands. Shops that recycle manufacturer text are simply not in that answer.

  • Copied manufacturer text has nothing unique to quote
  • Specifications hidden in PDFs stay invisible
  • Missing brand, MPN and EAN break entity matching
  • Incomplete SEO fields weaken every snippet
  • No FAQ or schema means no answer to lift
  • Nobody measures whether AI engines mention you
  • Competitors get named instead of your store

Four modules, one dataset

Measure, create, promote and track. Each module uses the same verified product data, so your shop, your articles and your campaigns tell one story.

Measure

AI Visibility Scan with recommendations

Run a scan per shop and get a per-prompt breakdown of every engine: is your brand named, a competitor, or nobody? The report is written in the language of the scan, shows citations and competitors, exports as PDF and ends with concrete recommendations.

  • Per-prompt verdicts per engine with citations
  • Competitor leaderboard you can edit and save
  • Shareable PDF report with your brand in the footer
  • Recommendations that turn into article briefs in one click
AI Visibility Scan with recommendations

Create

Content Studio with measured buyer intent

Start from a subject, a keyword or a product. Semrush volumes and AI research decide which questions are worth answering, and the article is written around them with hero image, FAQ schema and internal links to the products you selected.

  • Subjects, keywords or linked products as input
  • Semrush keyword data with an AI fallback
  • Extra instructions steer every regeneration
  • Batch articles straight from scan recommendations
Content Studio with measured buyer intent

Promote

Social Campaign Hub and brand kits

Turn a product into a campaign: narrative, captions, hashtags and on-brand visuals. Instagram carousels keep one template across slides, with per-slide text and images picked from your shop media library.

  • Multi-slide carousels with live preview
  • Save or download every slide in one action
  • Brand kit colours, logos and tone reused everywhere
  • Content calendar for planning and follow-up
Social Campaign Hub and brand kits

Track

Page performance and Google Search Console

Connect your own Google account, pick the properties you want to follow and see which pages actually earn clicks and impressions — then send the weak ones back into Content Studio for a rewrite.

  • Per-customer Google Search Console connection
  • Choose which properties and pages are shown
  • Semrush position data alongside your own numbers
  • Rewrite or regenerate without leaving the workspace
Page performance and Google Search Console
Everything in the platform

From source material to WooCommerce draft

  1. 1

    Connect WordPress

    Install the WPProductBot Connector plugin and authorise a site with an Application Password.

  2. 2

    Add product sources

    Manufacturer URL, datasheet, manual, price list and product images.

  3. 3

    Select a style reference

    Use the automatically discovered site template or an existing product.

  4. 4

    Review extracted facts

    Every value carries a source, a source location and a verification status.

  5. 5

    Create a WooCommerce draft

    The draft lands in WooCommerce for final review. Nothing is published automatically.

  6. 6

    Measure your AI visibility

    Run a scan to see which engines name your brand for the prompts your buyers use, and keep improving.

Product Discover

Choose an existing WooCommerce product that already looks right. WPProductBot studies its structure, section order, CSS classes and writing style without copying its product-specific content.

Reused from the reference

  • Layout
  • CSS classes
  • Section order
  • Heading style
  • Table structure
  • Content density
  • Writing style

Never copied

  • SKU
  • Prices
  • Stock
  • Technical specifications
  • Images
  • Product claims
  • Accessories
  • Warranties
  • Licences
  • Included products

Why AI answers need structure

Generative engines quote content they can parse and trust. WPProductBot writes for that, not around it.

Facts with a source

Every specification is traced to a datasheet, manual or manufacturer page, with conflicts flagged instead of averaged.

Named entities

Brand, model, MPN and EAN are stated explicitly so engines can match your page to the product being asked about.

Answer-shaped sections

Headings mirror real questions and each section answers one of them in full, so an assistant can lift a complete answer.

Structured data

Product, FAQ and article schema, canonical URLs and complete meta fields ship with every page we publish.

Built for catalogues that are hard to write

WPProductBot was built inside a Pro-AV distributor's shop, where a single product carries dozens of specifications, a datasheet, variants and accessories.

Distributors and dealers

Hundreds of technical SKUs from many brands, each with its own datasheet and its own naming conventions.

Specialist webshops

Products that buyers compare on numbers, where a wrong specification costs a return.

Marketing teams of one

One person responsible for product content, articles, social and reporting — with no time to do them separately.

Frequently asked questions

What is AI visibility (GEO) and how is it different from classic SEO?
Classic SEO gets you a blue link in a results page. Generative Engine Optimisation gets your brand named inside the answer that ChatGPT, Gemini, Copilot or Google AI Overviews write. That needs verifiable facts, named entities, answer-shaped sections and structured data, not just keywords.
How do you measure whether an AI engine mentions my brand?
The AI Visibility Scan builds a set of prompts a real buyer would type for your catalogue, asks the engines those prompts, and records whether your brand, your products or a competitor is named. You get a score per engine, a leaderboard against competitors and a report you can share.
Which prompts and competitors are used?
WPProductBot proposes prompts and competitors based on your catalogue and brands. You can edit, remove or add both before running a measurement, and re-run the same set later to compare.
What makes a product page quotable for an AI assistant?
Specifications as real values with units, brand, model, MPN and EAN stated explicitly, headings that mirror actual questions, sections that answer one question in full, and product plus FAQ schema. WPProductBot writes every page that way and scores what is still missing.
Read all questions

WPProductBot is currently in private beta.

We are testing WPProductBot with a limited number of WooCommerce shops before opening public access.

Log in to betaFeatures