In the first two articles in this series, I discussed why AI visibility needs to be viewed through three lenses: content, infrastructure and monitoring.
We started with content because you need something useful to contribute before you can become a source worth citing.
Now we get to the part I think will surprise a lot of marketing teams.
The webpage you see in your browser may not be what an AI crawler receives.
Inside most companies, the assumption is straightforward: if the website loads, looks good and displays the right information, everything is working.
But opening a page in your browser only confirms your experience. It doesn’t tell you what happens when an automated system requests that same page.
That request may pass through a content delivery network, a firewall, bot protection, caching and redirects before reaching your website’s content. Along the way, it can be blocked, challenged, redirected or served a different version of the page.
Your team sees an open website. Another system may encounter a locked door.
Consider your robots.txt file, which communicates crawling instructions.
Your marketing team checks it and confirms that a particular crawler is allowed. Everyone assumes access is handled.
Meanwhile, your security platform identifies the request as automated traffic and blocks it.
Both settings can exist at the same time. Permission in a robots file does not override a firewall.
That is why I believe AI visibility needs to become a shared responsibility between marketing and IT.
Marketing understands which information needs to be found and how the company should be represented. IT and development teams understand how requests reach that information and where access can break down.
Neither team has the whole picture alone.
The conversation also needs to be more specific than, “Should we allow AI?”
Different systems and automated agents serve different purposes. A company may make different decisions about search discovery, content retrieval and model training.
The practical questions are: which systems do we want to allow, what are they requesting, and are our technical settings supporting those decisions?
This doesn’t mean switching off security. It means making sure the rules are intentional and working as expected.
Caching deserves the same attention.
Imagine updating an important statistic. Your old page says the company has processed 500,000 customer interactions. The new version says more than 1 million.
Your team opens the website, sees the updated number and moves on.
But an outdated cached copy could still be delivered under certain conditions. A system receiving that copy may retrieve the old figure even though your team sees the new one.
That matters when the information involves pricing, product capabilities, leadership, locations, policies or research.
And fixing your website’s cache doesn’t instantly update every outside system. Search indexes and other services may retain earlier information on their own schedules.
Still, you should be confident that your own website is delivering the current version consistently. Otherwise, you are adding another source of confusion.
JavaScript creates another potential gap.
Modern websites use it for everything from navigation to interactive tools. The concern is whether essential information depends entirely on code running after the initial page arrives.
A person may see the complete page while a crawler receives a much thinner version. Rendering capabilities vary, so you cannot assume every system will process the page the way your browser does.
I am not suggesting every company needs a website rebuild.
I am suggesting that your core information should be available in accessible, understandable HTML wherever practical.
Who are you? What do you do? Who do you serve? What evidence supports your claims?
Those answers should be easy to find in the page’s content.
One useful exercise is to look past the design. Without the animation, video and visual effects, does the page still explain the business?
A polished presentation helps people engage. The underlying content still needs to carry the message.
Then there is the question of which URL represents the source.
Websites accumulate duplicates over time. An old page survives a redesign. A service description appears under two folders. Tracking links create additional URL variations. Different addresses lead to substantially the same content.
These are familiar search and website maintenance issues. They also matter when other systems try to retrieve and reference your information.
If you have several versions of a declined service page, make the preferred version clear.
Use redirects where appropriate, maintain consistent internal links and identify the preferred URL with a canonical tag. A canonical tag is a signal, so it should support a coherent website structure rather than compensate for conflicting versions.
Make it easy to find the page you maintain as the source.
I think this introduces an important addition to website quality assurance.
Teams already check mobile layouts, forms, links and analytics. I would add one more question:
What does the automated system actually receive when it requests this page?
Not what we expect it to receive. What it receives.
Does the request succeed? Does the response contain the article, or a security challenge? Is the important text present in the HTML? Is the preferred URL identified correctly? Does any structured data agree with the visible content? Is an outdated copy being served?
Your technical team can investigate those questions through response checks, server logs and security-platform records.
Simply changing a browser’s user-agent label is not conclusive proof of crawler access. Some security decisions depend on where the request originates and whether the crawler’s identity can be verified.
The goal is to test the actual delivery path as closely as possible.
Some websites also offer simplified, machine-readable representations of their content, including Markdown.
That may be useful in certain implementations, but it introduces another responsibility: keeping every representation consistent.
If the page customers read describes one set of capabilities and the machine-readable version describes another, you have created competing accounts of your business.
The format can change. The facts should not.
Wherever possible, those versions should draw from the same maintained content. They should also be checked when important information changes.
None of this technical work creates authority on its own.
A website can be perfectly accessible and still have little worth referencing. Strong content gives someone a reason to use your information. Infrastructure helps make that information available.
I think of it like building an excellent dealership, stocking it with the right vehicles and putting a great team inside—then forgetting to unlock the doors.
Everything may be ready. People still cannot get in.
Your content needs an accessible entrance, too.
That is why I would encourage every dealer and vendor to bring marketing, development and IT into the same conversation. Agree on what should be accessible, verify what is being delivered and make those checks part of maintaining the website.
Then comes the next question.
Once your information is accessible, what are AI systems actually saying about your business?
In the next article, we will move from the infrastructure behind the website to something every dealer and vendor can examine: whether your brand appears, how it is described and what those answers get right—or wrong.