DialtoneApp helps businesses become AI aware. SEO, AEO, and GEO still matter, because bots need to find you, trust you, and use you as source material before anything else can happen.
But the real destination is bigger than ranking well in ChatGPT. Your business should be moving toward agent-ready sales flows. That may mean APIs, MCP, A2A, a commerce contract like UCP or ACP, and a payment authority layer like AP2 or scoped tokens, depending on how your buyers actually buy.
You only have a system in place for human customers? That's soooo pre-2026.
No login or credit card needed for the scan. Create an account only when you want to save history, receive updates, or get help shipping fixes.
No llms.txt, no markdown mirrors, and no clear machine-readable sales path once agents need to do more than read, quote, and hand off a transaction.
SEO helps you rank. AEO helps you become the direct answer. GEO helps AI systems use your pages when they generate answers, recommendations, and workflows. Then the sales stack usually becomes layered: runtime access through APIs, MCP, or A2A, commerce flow through UCP or ACP, and payment authority through AP2 or scoped tokens.
| Term | Focus |
|---|---|
| SEO | Rank in search engines |
| AEO | Be the direct answer (snippets, voice) |
| GEO | Be used by AI to generate answers |
| Runtime | MCP, A2A, and APIs let bots reach your systems |
| Commerce | UCP or ACP structure cart, checkout, and order flow |
| Authority | AP2 or scoped tokens define what a bot may spend |
B2B doesn't stand for business to business anymore. It stands for bot 2 bot. In this new world of bots, your goal isn't just to rank well in ChatGPT. Your goal is to support bot-mediated sales with a machine-readable stack that fits your business.
Sometimes that stack will include MCP. Sometimes it will lean more on APIs, A2A, procurement systems, UCP or ACP, and payment authority like AP2 or scoped tokens. Read our bot-buyable API build log to see what actually has to be built, then use the free scan to see how much groundwork is still missing.
Good AI visibility is not just better copy. It is explicit infrastructure: a short index, a deeper markdown brief, page-level links that point from HTML to the clean markdown version, and then a real action layer when the business is ready for live agent workflows and sales.
Publish a short root-level guide that points AI systems to your canonical docs, product pages, policies, and freshest sources so discovery starts from clean ground.
Offer a deeper markdown companion for agents that want one richer fetch instead of crawling your whole site to assemble context from scratch.
Expose the markdown version of each HTML page so agents can retrieve the same content in a format that is easier to parse, quote, reuse, and trust.
When your business is ready to do more than serve static info, publish a real sales interface: APIs, MCP, A2A, or a mix, plus the commerce and payment layers that make agent-driven buying safe.
Add an alternate markdown link so agents can find the same page in a format that is easier to parse, quote, and reuse.
<link rel="alternate" type="text/markdown" href="https://dialtoneapp.com/top-sites/ipaper.io/index.md">
That relationship tells crawlers and agents where the clean markdown version lives. Without it, they have to guess whether a trustworthy machine-readable source exists. Static discovery is the first layer. Then, when the business is ready, publish the action and sales layers that make bot-to-bot commerce possible.
The free scan shows what is missing on the public surface today. Then our membership product supports the fixes, the AI-aware foundation, and the path to the runtime, commerce, and payment layers your business may need for real bot-mediated sales.
AI systems have no root-level reading guide for your canonical docs, product pages, or policy pages.
There is no deeper single-fetch markdown reference for agents that need fuller context before they answer.
Agents can find the HTML page, but they are not told where the matching markdown source lives.
Agents may be able to read the site, but there is no typed sales surface with clear auth, workflow steps, or payment handoffs once static information is not enough.
DialtoneApp scans your homepage, docs, product pages, policies, and key templates to show what AI systems can actually discover, read, and cite right now.
We fix the reading layer first: discovery files, page summaries, markdown mirrors, citation support, and the core machine-readable signals that make your business AI aware.
Our membership product supports the next steps from discovery cleanup to agent-ready sales flows, including APIs, MCP or A2A where useful, and the commerce and payment layers serious B2B automation needs.
An AI-aware business is easy for AI systems to discover, read, trust, cite, and eventually transact with. It starts with clean public discovery and grows into agent-ready sales surfaces.
Yes. SEO helps you rank, AEO helps you become the direct answer, and GEO helps AI systems use your pages when they generate answers. Those are still essential, but they are the beginning of the job, not the end of it.
They give AI systems an explicit reading guide. llms.txt says where to start. llms-full.txt gives a fuller markdown reference when one deeper fetch is more useful than a broad crawl.
Usually a layered sales stack: APIs, MCP, or A2A for runtime access, UCP or ACP for commerce flow, and AP2 or scoped tokens when delegated payment authority matters.
No. MCP is useful for many reasons, but many B2B sales will still run through direct APIs, procurement systems, partner integrations, or platform-native checkout flows.
Start with the free scan. Then, if you want help shipping the fixes and moving toward agent-ready sales flows, the membership product supports that path from discovery cleanup to the right runtime, commerce, and payment layers.
