Most companies rely on platforms like LinkedIn or PitchBook to share public profiles and key information.
We upload our details, pay for premium listings, and try to stand out, while those platforms control the data and the discovery.
It’s become normal to rent access to our own information.
But why should we pay a tax to share our own story?
Here’s the thing: every time we hand over control, we limit our flexibility and depend on someone else's rules.
When I advise founders or leaders, I see the same pattern.
We spend hours curating company profiles, then hit a wall when we want to automate updates, integrate with new tools, or track who’s using our information.
If you want to innovate or build something agentic, where AI agents can fetch, update, or act on your behalf, you hit friction quickly.
So I keep coming back to a different approach.
What if your website became the primary, agentic source of truth about your company?
Instead of relying on third parties, you could:
This model puts you in the driver’s seat.
You decide what’s public, what’s protected, and who gets access.
You gain evidence-based insight into who’s engaging with your data.
You can iterate on your schema, update workflows, and streamline automation without waiting for a platform update.
To make this work for everyone, the code, schema, and directory should be open source.
That way, the ecosystem grows with you.
Anyone can point an agent at your site and let it discover skills, actions, or updates on demand.
No more filling out the same form in three places or emailing PDFs back and forth.
It’s low-friction automation, based on your terms.
This isn’t about replacing LinkedIn or declaring war on data brokers.
Those platforms have their role, especially for discovery and aggregation.
But leaders deserve an option they own.
An agentic-first website, with open MCP-style access, empowers you to build, streamline, and collaborate without handing over the keys.
Truth is, this stuff is genuinely hard.
It takes a shift in mindset, a bit of technical effort, and a willingness to be open.
But the payoff is agency over your data, your workflows, and your relationships.
If you’re tired of paying rent on your own information, maybe it’s time to try something new.
Start small.
Publish your public data in a structured way, experiment with agent access, and share what you learn.
Community-led innovation starts with one step, and you don’t have to ask permission to take it.
This why I built Agentic First Directory https://www.agentic-first.co/ as an example of how it could work
Leaders are not asking whether AI exists in the organisation anymore. They are asking whether it can execute safely, repeatedly, and under your governance.
That shift changes what “good” looks like for your company website.
If agents are going to do work on your behalf, your website cannot be a brochure. It needs to be a reliable interface.
A useful way to frame this is that agentic-first is not a feature. It is an operating stance.
As Ed Biden put it: "Agentic-first companies are starting to emerge — and they run as differently from digital-first companies as digital-first did from traditional businesses." (https://www.linkedin.com/posts/edbiden_agentic-first-companies-are-starting-to-emerge-activity-7417890110995619840-Ed5X)
The simplest explanation is that AI is moving from assistance to execution.
Rathan Uday captured the progression clearly: "AI is evolving from simple automation into autonomous systems that can plan, reason, and execute tasks. What we call agentic AI today is the result of a clear progression in how intelligent systems operate." (https://www.linkedin.com/posts/rathanuday_the-rise-of-agentic-systems-ai-is-evolving-activity-7438158217156898816-sm-p)
That progression has a practical consequence.
If your organisation wants an agentic workflow, the agent needs:
If your “source of truth” lives inside third-party profiles, you inherit their constraints.
That may be fine for discovery.
It is painful for execution.
When your company data sits primarily on third-party platforms, you create a quiet dependency.
Not a dramatic one.
A slow one.
It shows up as:
If you want AI agents to act safely, you need governance that starts at the data layer.
Dr. Dave Goad GAICD signals how quickly governance is becoming central: "Across my client work in financial services, utilities, insurance, and enterprise technology consulting, I have been tracking five strategic trends that I believe will materially shape how organizations build, buy, and govern Agentic AI over the next 18 to 24 months." (https://www.linkedin.com/pulse/5-strategic-trend-shaping-future-agentic-ai-dr-dave-goad-gaicd-horqe)
Based on the validated research context, an agentic-first approach to company data is about making your organisation’s data:
For broader context on why companies are moving this way now, see:
You do not need a big-bang rebuild.
You need a sequence that reduces risk as capability increases.
Pick a small set of public information you already maintain.
For example:
Publish it in a consistent, machine-readable format.
Keep it boring.
Boring scales.
Private data should not be “hidden by obscurity”.
It should be protected by design.
Use token-based access so you can:
This is as much a leadership governance move as it is a technical one.
This is where an MCP-style layer becomes useful.
Not because it is trendy.
Because it forces clarity:
That clarity supports evidence-based decision making.
It also makes vendor conversations easier, because you can specify interfaces, not vibes.
This approach is not “free”.
You will feel trade-offs.
The goal is not to abandon platforms.
It is to stop treating them as the primary system of record.
If you want to pressure-test whether you are paying the data tax, ask:
If those answers are fuzzy, you have an opportunity.
Not for a flashy project.
For a low-friction automation upgrade that you can govern.
A lot of leaders are going to wake up in 12 months with “agentic tooling” and no clean, controlled way for agents to read or act.
You can avoid that trap by making your website the place where truth lives, and where permissions are explicit.
Start small.
Ship one structured page.
Learn what breaks.
Then iterate with your community, your partners, and your future self in mind.