bot.radar
bot.radar is an AI visibility tracking tool that runs the questions your buyers ask on the AI engines you choose, every day. See when AI recommends you, who it cites, and which competitors get there first.
30 days free. No credit card. Nothing is charged unless you pick a plan.
Plans start at €79 per month, excluding VAT.
Inside Radar
From the overview to your audience
Illustrative data · Stripe example
Your audiences, your category, and the answers shaping your reputation.
Separate workspaces and reporting for the brands your agency looks after.
01 / Performance
Every day, Radar measures your visibility, citation rate, and share of voice in AI answers. Read the trend across engines, then follow it back to the answers.
How often does your brand appear? Track the share of answers that mention you, and see whether it is growing over time.
02 / Questions & sources
See the prompts that surface your brand and the pages AI turns to for evidence. Keep the question and its sources in the same view.
Track discovery, comparison, and problem-solving questions. See which ones put you in the conversation.
Identify the pages behind your AI presence, from product pages to documentation and third-party sources.
The competitive picture
Radar finds the brands appearing alongside you. Compare their visibility and momentum using the same tracked questions.
Checkout.com03 / Your audience
A strong average can hide a weak audience. Compare the buyers you care about and see whose questions lead to your brand.
Group questions by audience, market, and language to see where your brand connects.
Compare visibility and its change over time, then investigate the prompts behind an audience.
04 / Engine coverage
bot.radar tracks ChatGPT, Google AI Overview, Google AI Mode, Gemini, Perplexity, Claude and Copilot. The same question can produce very different answers, so compare your visibility across engines and choose the ones that matter for each prompt.
All seven engines are available. Your plan determines how many you run per prompt.
AI Overview and AI Mode
Radar runs your tracked questions on Google AI Overview and Google AI Mode every day, alongside the other engines you select. Each answer is saved with the brands it names and the pages it cites.
The questions you approve, in the markets you choose. For each answer, Radar records which brands are named, in what order, and which pages are cited.
Daily by default, and configurable per question. Every answer is kept, so you can compare today's result with last week's and see what changed.
Visibility, average position, share of voice, and citation rate for each engine, with citations split into your own domains and third-party sites. Every number links to the original answer.
05 / Getting started
Start with what you know about your brand. Radar helps turn it into a repeatable daily check.
01
Add your domains, products, and aliases. Radar uses that context to recognize you in each answer.
02
Describe who you sell to. Radar builds audience profiles around their roles, markets, and priorities.
03
Review the prompts Radar drafts for each audience. Edit them or add questions of your own.
04
Select your engines and markets. Radar checks daily and keeps the answers so you can follow the change.
From insight to action
Use what Radar reveals to guide your next content update. bot.optimizer helps improve the schema, FAQs, and summaries on the pages AI reads.
Good questions
A little more about how Radar works, what it measures, and what your trial includes.
Your brand is next
Start with the questions your buyers ask. See what AI says about you today, and follow what changes tomorrow.
Up to 3 engines per prompt. No credit card.
Your trial does not convert to a paid plan automatically.
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.