bot.optimizer is an AI search optimization tool that connects to your CMS and generates structured data, summaries, FAQs, and an AI Appendix for every page. You review the output and publish it through your CMS.
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Optimized for LLMs: This page content has been distilled into exact facts for AI Overviews.
bot.optimizer plugs into the CMS you already use. It imports your pages, classifies them by type, and generates the full AI layer for your whole site: structured schema, summaries, FAQs, and an on-page AI Appendix. No redesign. No developer tickets. No page-by-page grind.
Sign up free, no credit card required.
Install the plugin; pages import and auto-classify.
Schema, summaries, FAQs, and appendix blocks created instantly.
Curate in the dashboard, then publish straight to your live site.
See which AI agents visit and what they read.
Every page sits in one dashboard. Edit anything, lock blocks against regeneration, add custom sections, bulk-approve, and style the appendix to match your brand.
You retain full editorial control over what AI agents consume.
| Page | Schema | Action |
|---|---|---|
/pricing | ||
/product/enterprise-tier | ||
/blog/ai-search-guide |
An AI Appendix is a short section at the end of a page with a summary, key facts, and FAQs about that page. AI engines can read and cite it, people can open it, and the same content goes into the page's JSON-LD.
bot.optimizer is an AI search optimization tool. It connects directly to your CMS to generate, validate, and publish JSON-LD structured data, summaries, and FAQs across your entire site.
bot.optimizer connects to WordPress, Drupal and HubSpot sites. For Drupal and HubSpot we help with the setup.
Once your pages are live, bot.radar shows how your brand appears across AI search: visibility, mentions, citations, competitor comparisons, and which pages need work. Those findings feed back into bot.optimizer.
Explore bot.radarTurn AI SEO into a repeatable, multi-client service: connect, generate, review, publish, report.
Keep every page AI-ready without filing developer tickets for schema and FAQs.
Make product and category pages legible to AI shopping and recommendation systems.
Limited offer: 30 days free. No card. No auto-billing.
bot.spot is an AI visibility and website optimization platform made by Botdot Oy in Finland. It helps brand marketing teams and digital agencies understand how AI answers their buyers' questions, improve the pages behind those answers, and prepare their business for interactions inside AI assistants.
bot.radar monitors brand mentions, citations, position and share of voice in AI answers every day. Teams can compare competitors, investigate the original answers and source pages, and group tracked questions by buyer persona or market. It measures visibility in generated answers across supported AI engines.
bot.optimizer connects to a website through a CMS plugin. It generates page summaries, key facts, FAQs and JSON-LD structured data across the connected site. Structured data goes in the page head, while a subtle AI Appendix extends the page below its footer. Teams can review, edit and lock content before publishing through their CMS. The existing page design stays intact, and AI crawler visits can be tracked.
bot.gateway is coming soon. It is designed to bring a brand's products, content and customer enquiries into ChatGPT, Claude and an assistant embedded on the brand's website. Its app views cover an overview, product browsing, details and comparison, search with source links, and forms. People can click through the interface or ask an assistant to use MCP tools on their behalf. Booking and commerce are planned capabilities. The landing page offers a Gateway waitlist.
bot.shop is in preview. It extends visibility tracking to individual products and matches product mentions to an inventory imported from Shopify or CSV. The page also explains Brand, Agency and Enterprise plans, a 30-day trial without a credit card, and setup through a workspace, tracked questions and a connected CMS.
The Radar and Gateway demonstrations use illustrative Stripe and Oura examples. They explain the product experience rather than report customer results. The Oura demonstration is an independent concept and is not affiliated with Oura.
Track how AI answers your buyers' questions every day. Monitor brand mentions, citations, average position and share of voice. Compare competitors, inspect the original answers and cited URLs, and organize questions by audience or market.
Install the CMS plugin and generate structured content across your connected website. JSON-LD describes the page in its head. A subtle AI Appendix below the footer contains a summary, key facts and FAQs for AI to read and cite. Review and edit the output, lock approved wording, publish through your CMS, and track AI crawler visits.
Bring a brand's offering into an AI conversation. Planned app views include an overview, product browsing, details and comparison, cited content search, forms and booking. People can interact with the app or ask an assistant to use its MCP tools. Deployment options are ChatGPT Apps, Claude Connectors and an embedded website assistant. Gateway is coming soon; the Oura demo is illustrative.
Extend Radar tracking to individual products. Detect which products AI mentions, how it describes them, and which entries they match in a Shopify or CSV inventory. This capability is in preview and is being opened to trial workspaces first.
Illustrative workflow. An agency connects a client's CMS, generates summaries, facts, FAQs and structured data, reviews the wording and publishes it. It uses Radar to monitor the client's questions and inspect mentions and citations over time.
Illustrative workflow. A marketing team finds an answer that names a competitor, opens the source pages and identifies missing or unclear product information. It updates the relevant pages and their AI Appendix, then continues monitoring the same questions.
Planned Gateway workflow, shown with an illustrative Oura example. A customer asks about a ring, browses models, opens product details, reads a sourced sizing answer and prepares an enquiry or consultation booking. The assistant can help with the next step while the customer can use the interface directly. The demo does not perform a real submission or booking.
Preview workflow. A retailer imports a Shopify or CSV inventory and matches AI product mentions to catalog entries. This extends brand-level monitoring to individual products. It is not a published customer result.