AI visibility tools are useful. They show how ChatGPT, Perplexity, Gemini and Claude describe your brand today, and several now help you improve the content those systems find. If you use one you like, keep it. What is different about Kodiac is the destination: your own Brand Agent, so the AI does not have to guess from your website at all.
A visibility tool tells you where your brand appears in AI answers, how often it is recommended, which sources the answers lean on and how that changes over time. That is real evidence, and it is the right first step.
Which questions bring your brand up, how it is described, and where the answers are wrong or out of date.
Share of voice, recommendation rate and sentiment, scan after scan, against the competitors customers consider.
Several tools now go further and help you optimise the pages and sources that AI systems read. That is useful work too.
If a visibility tool is doing that job for you, keep using it. Kodiac Audit does the same job inside the Kodiac platform, so you do not need two of them, but nothing here asks you to switch.
Measuring and optimising both work on the same assumption: that AI will keep guessing about your brand from whatever it can scrape, so the best you can do is make the scraping go better. Most of the market is working on exactly that. It is not the end state.
However good the page, the assistant is still assembling an answer from the open web. The best you get is a better guess.
A price changes, a policy is rewritten, a product is withdrawn. Each one is a page to rewrite and a wait for the next crawl.
When a customer's assistant wants to know whether they qualify, there is nowhere at the brand for it to ask. So it guesses, or it stops.
If the AI can ask you directly, it does not need to guess from your website.
Kodiac gives your organisation a Brand Agent: one that customers, the AI assistants they use and their own agents can ask directly, over MCP and REST. It is a destination, not a better page.
It only says what you have approved: structured, versioned records with an owner and an expiry, kept current from the systems you already run.
An MCP endpoint and a REST API, so the assistant a customer already uses can put the question to you instead of the open web.
A memory that persists across conversations, with permission, kept with your organisation and not inside a model. Choose the model from a list Kodiac has validated.
Each answer is logged with its sources, guardrail outcome and confidence, so your team can review it and improve the information behind it.
This is a bet on where customer behaviour is going. Get there before your competitors do.
Use the visibility tool you trust, or Kodiac Audit, for the evidence. Get the information behind the answers approved and kept current. Then give AI someone to ask. The first step is where most organisations begin. The agent is where it leads.
Your visibility tool, or Kodiac Audit, shows what AI says about you today and what your agent will need to get right.
Explore AuditApproved, structured records with an owner, a version and an expiry, synced read-only from your systems.
Explore ContentYour own Brand Agent, answering customers and their AI from that information.
Explore AgentSee what AI says about you today, with whichever tool you trust. Then give customers and their AI a Brand Agent that answers from information you have approved.
Be Seen. Be Understood. Be Asked.