bot.radar
Your buyers are asking AI. See when it recommends you, who it cites, and which competitors get there first.
30 days free. No credit card. No automatic billing.
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
A daily view of your visibility, citations, and share of voice. 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
The same question can produce very different answers. 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.
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 optimization platform made by Botdot Oy in Finland. It helps brands and marketing agencies see how AI assistants describe them, improve the web pages those assistants read, and give assistants a direct way to browse products, search content and capture leads.
The platform has three live products. bot.radar tracks brand and competitor visibility inside AI answers. bot.optimizer generates structured data, summaries and FAQs for every page of a connected website. bot.gateway publishes a branded endpoint that AI assistants can call. A fourth product, bot.shop, is in preview and extends tracking to individual products and inventory.
All products share one brand data layer and one grounding engine, bot.engine, which scores generated claims against source material before they are published.
bot.radar is an AI visibility analytics tool. It generates the questions a brand's buyers ask AI assistants, runs those questions on the tracked engines every day, and records which brands are named, cited and ranked in each answer. It reports four metrics: visibility rate, average position, share of voice and citation rate. Citations are split into owned domains and third-party domains. Competitors are detected from the answers themselves. Users can group questions under audience personas to see visibility per buyer segment and per market. Every metric links to the raw answer, the extracted entities and the cited URLs.
bot.optimizer connects to a content management system, imports every page, classifies each page by type, and generates an AI Appendix for it. An AI Appendix is a block of content placed on the page that contains a summary, key facts, frequently asked questions and technical details. The same content is compiled into JSON-LD structured data in the page head. Users review and edit generated content in a dashboard, can lock individual blocks against regeneration, and approve pages for publishing. The CMS publishes the result. bot.optimizer also installs an endpoint that answers live agent queries about the site, and logs which AI agents visit and what they read.
bot.gateway publishes a branded endpoint that AI assistants call to interact with a business. It serves widgets for overview, product showcase, detail and comparison, search with cited sources, and typed lead-capture forms. Booking and in-chat purchasing are rolling out. Content comes from a connected catalog, CSV or CMS. Widgets are configured in Gateway Studio with a live simulated-chat preview. The endpoint is available as a public MCP URL, a ChatGPT App and a Claude Connector. Every tool call is logged. Rate limits and form-spam controls are applied. Raw form data is not logged. Published versions are immutable and can be rolled back.
bot.shop extends bot.radar to individual products. It detects product mentions in AI answers, tracks how often each product appears and how it is described, and matches mentions to a product list imported from Shopify or a CSV. It is in preview and is being opened to trial workspaces first.
bot.engine is the grounding layer used by the other products. It chunks source content, extracts claims, and assigns each generated statement a confidence score based on how well it is supported by the source. Statements below threshold are flagged for review before publishing.
Illustrative scenario: an agency connects a client's WordPress site to bot.optimizer. bot.optimizer imports the pages, generates AI Appendixes and schema, and the agency reviews and publishes them. bot.radar tracks the client's category questions on 7 engines.
In this illustrative scenario, visibility rises from 24% to 52% over 30 days and two competitors lose share of voice. The agency then opens a bot.gateway endpoint for the client.
Illustrative scenario: a brand marketing team runs bot.radar and sees a competitor recommended in 70% of answers about enterprise features. They identify the pages behind those answers and use bot.optimizer to add facts, FAQs and structured data to them, then track the change daily.
Illustrative scenario: an online retailer imports its Shopify catalog into bot.shop. bot.radar detects which products AI assistants recommend and how they are described, and matches each mention to a SKU. bot.gateway shows the same products as cards inside ChatGPT.