Website

Your public-facing pages & posts

Your public website is one of the few parts of your setup that an AI can read without any integration at all, which makes it a useful starting point but also a place where outdated content causes real harm.

A public website is openly accessible by default. Any AI tool can read pages on it, and many tools will use it as a first source of information about your organization when building context. That accessibility is an advantage: there is no integration to set up, no credentials to manage, no access policy to define. The risk is the flip side of the same openness.

What is on your site is what a tool will treat as true. If your services page describes an offering you no longer provide, or your about page still lists a team member who left two years ago, an AI building context from your site will repeat those things confidently. The quality of your public content becomes the quality of the AI's understanding of you. For a tool that surfaces information to customers or produces external-facing copy, that gap matters.

Make it visibleDo a quick pass on your five most important public pages and ask: is everything here still accurate, and would you be comfortable with an AI using this as its source of truth about your organization? Fix the worst gaps first.

Why AI needs this

Each part of your work matters to AI in a specific way. Some of it is context a tool needs before it can help, some of it is work a tool can take on, and some of it is judgment that should stay with you.

Content accuracy and currency

An AI reading your site treats what is there as current fact. Pages that have not been updated in years will produce outputs that misrepresent your organization.

Structured content as context

Well-structured pages with clear headings, consistent terminology, and accurate descriptions are easier for a tool to parse correctly than dense, jargon-heavy, or ambiguous copy.

What the site reveals versus hides

A public site often reveals pricing, team size, technology choices, or geographic focus, sometimes unintentionally. Understanding what is publicly readable matters when AI uses it as a source.

Questions to explore

Use these on your own or in a group. There are no right answers, only better conversations.

Which pages on your website contain information an AI might use to build a picture of your organization, and how current are they?
Are there pages that describe services, products, or team members that are no longer accurate?
Does your site use clear, consistent language, or do different pages use different terms for the same things?
If an AI summarized your website to a potential customer, would that summary be accurate and something you would stand behind?
Are there things about your organization that you want AI to know but that are not currently reflected anywhere on your public site?

Readiness traps

Outdated pages are more dangerous than missing pages. A page that describes something that used to be true is actively misleading; a gap is at least neutral.
Sites with inconsistent terminology across pages create confusion when an AI tries to build a coherent summary. Different sections using different names for the same product or team can produce contradictory outputs.
A site optimized for search engines or marketing may be structured in a way that is harder for an AI to parse accurately. Dense keyword lists, vague headlines, and repetitive copy are readable but semantically thin.