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Case study10 min read

Is your website ready for AI agents? The Kanexio case study

An assistant needs to understand your business, find reliable information and guide its user. At Kanexio, this called for five practical fixes.

Conceptual illustration: glass and paper layers structure a page crossed by a cyan beam.

Conceptual illustration: structured information passes through the layers of a website. Editorial artwork generated for this article.

Your next visitor may be someone comparing providers. It may also be software that person has asked to carry out research: find a consultancy, check an offer or prepare an enquiry. In both cases, your website needs to explain clearly what you do and how to take the next step.

I chose to start with my own website. Kanexio already had service pages, content readable without JavaScript and public contact details. Yet the initial diagnostic still identified several dead ends for agents. Here is what we fixed, together with the evidence you can check.1

From 75 to 100/100: what the evidence shows

The initial diagnostic supplied for this project reported 75/100. After the fixes, the public Is Agentic report shows 100/100 for Kanexio. The snapshot is dated 26 October 2026 at 00:10 UTC, or 01:10 in Brussels. The two values represent a difference of 25 points on this tool’s scale.12

Comparison of Kanexio’s two Is Agentic scoresThe initial diagnostic reports 75 out of 100. The verified public report shows 100 out of 100. The difference is 25 points.10050075100
Initial diagnostic75/100 reported in the initial diagnostic
Verified public report100/100 · snapshot of 26 October 2026
+25 percentage points
Two observations on a scale of 0 to 100. The initial value comes from the brief; the final result comes from the public report. This chart does not represent traffic growth or a business metric.12

These records have different origins. The 75/100 comes from the initial diagnostic supplied at the start of the project; I do not have a historical screenshot of that screen. The 100/100 is visible in the public report and the original screenshot shown here. The before and after HTTP observations are also available.12

Actual screenshot of the Is Agentic report: kanexio.com, score 100 out of 100, Business profile and snapshot of 26 October 2026 at 00:10 UTC.
Is Agentic report accessed on 26 October 2026. The original screen is in English and shows the snapshot time in UTC. Screenshot of the tool’s website, without a reconstructed interface.

A technical score that needs context

Is Agentic presents the checks run by Ora, grouping them by maturity and applicability to the website. The methodology gives fundamentals a central role and excludes criteria that do not apply. To understand a result, I therefore recommend opening the evidence behind each check.3

The 100/100 is a dated finding about the surfaces assessed. It does not measure sales, the quality of advice or how often an AI response cites the website. The tool’s methodology also explains that this is not a security, accessibility or compliance certification.3

One business, several ways to discover it

A person reads headings, looks at images and chooses a path. An assistant may start with an HTTP request, a page excerpt or a document index. Its need remains practical: find usable information and trace it back to its source.

On Kanexio, HTML remains the format for ordinary browsing. The homepage also offers a Markdown representation when the client requests it. Both present the same public information; the latter avoids bringing navigation, styles and scripts into the reading of the main content.1

Actual screenshot of the Kanexio homepage with its heading, description, eyebrow and two buttons.
Kanexio’s public homepage, captured on 26 October 2026. The visual presentation is preserved while access to the information is improved.

Reading in the browser

Accept: text/html

HTTP 200
Content-Type: text/html; charset=utf-8
Vary: Accept

Reading requested by the agent

Accept: text/markdown

HTTP 200
Content-Type: text/markdown; charset=utf-8
Vary: Accept

The Markdown negotiation shown here applies to the homepage. Linked service pages remain available in HTML. Every endpoint you advertise needs checking, including its content type and actual response body.

The five fixes made to Kanexio

The work addressed the issues raised by the diagnostic. I present them as experience from this website: a useful starting point for checks, to adapt to your hosting and user journeys.

Actually serve the requested format

Before the fix, a homepage request with Accept: text/markdown received HTML. The 200 status only showed that the request had succeeded. We added a real Markdown response with Content-Type: text/markdown and Vary: Accept, while keeping the HTML representation for browsers.145

The Markdown version is generated from the main content of the final HTML. This reduces the risk of maintaining two different messages. Verification compares the status, headers and received text. It also alternates HTML and Markdown requests to detect cache mix-ups.1

View the technical checks
curl -sS -L -i -H 'Accept: text/markdown' https://kanexio.com/
curl -sS -L -i -H 'Accept: text/html' https://kanexio.com/
curl -sS -L -i -H 'Accept: text/markdown' https://kanexio.com/__kanexio-agent-article-404-20261026

Explain when to approach the consultancy

The llms.txt file already existed. It listed content, but the diagnostic found no sufficiently clear guidance on suitable uses. We specified the needs Kanexio addresses: digital priorities, website creation, visibility, automation, identity and training.1

The guide also explains how to read sources and prepare an enquiry. It describes a human contact process: gather useful information, check the published terms and suggest the right channel to the user. llms.txt remains a documentation proposal; its presence does not prove that an assistant will read it or cite the website.6

Read the published agent instructions

Give missing pages a useful way forward

The previous response already returned the correct 404 status. The missing piece was its body: an agent requesting Markdown still received an HTML page. The new response keeps 404 and explains in Markdown that the content cannot be found, with links to the homepage, llms.txt and the sitemap.1

This detail matters during research. An incorrect address should make the document’s absence clear and provide a way back to a valid entry point. We checked simple paths, nested paths and paths ending in an extension, inspecting the response body each time.1

Restore the heading order in HTML

The homepage already contained its H1 and enough text. However, an H2 in the search dialog appeared before it in the raw document. The dialog label became a paragraph, retaining its accessible name and typography. The main H1 is now the document’s first heading.1

Before: the dialog preceded the main heading

H2Search dialog label

H1Main homepage heading

After: content begins with its H1

PSearch dialog label

H1Main homepage heading

We also moved the Trust chapter heading to H2. This is a structural correction. The message, search controls and presentation remain consistent for people using the website.1

Make trust pages easy to find

The privacy policy was already published at /confidentialite/. We connected the /privacy and /about entry points to the existing canonical pages with permanent redirects, and checked the Contact page. The actual content and final destination were verified.1

For your business, these pages should let visitors check who publishes the website, how to contact the company and what it says about the data it processes. Their information needs to stay aligned with the forms and providers actually used.

View the privacy page

Your starting checklist

Tick the points you have actually checked. These boxes support your reading of this page: they do not run an audit, transmit data or calculate an Is Agentic score.

Your starting checklist
Real photograph of a professional working on a laptop at a desk.
Illustrative photograph: Tony Schnagl / Pexels. It depicts neither a Kanexio client nor the audit session. Photograph source

How to repeat the checks on your website

Start by retaining an initial record: date, URL, website type, report and observed responses. Then fix the points that actually fail. Once the changes are published, check the public domain and relevant endpoints, then request a new audit. The comparison is more useful when the scope and method remain documented.

The public report may be a cached snapshot. Its date therefore matters. To follow a project, keep screenshots and observations for each stage, clearly explaining what they establish. A correct technical response and an observed user journey provide complementary evidence.3

Questions before getting started

What exactly does 100/100 measure?

It summarises the technical checks applicable to the website in that Is Agentic snapshot. Understanding its scope requires reading the criteria, evidence and date. The score does not quantify the business impact of these fixes.

Does an SME need an API or an MCP server?

That depends on the service you want to provide. The Is Agentic methodology activates checks for API or MCP surfaces when they are identified. In this case, the work focused on reading the public website and directing users towards human contact.

Do you need to rebuild the entire website first?

An assessment should come before that decision. Some fixes concern hosting, others HTML structure, content or links. The Kanexio case shows a targeted project; it cannot establish the work needed on another website without examining it.

Does your website help people move from reading to the right next step?

I help you examine your digital presence, prioritise fixes and define how to implement them. We start with your business, your user journeys and what can be verified.

Sources, evidence and method

Sources accessed and evidence archived on 26 October 2026. Links to tools or organisations do not imply a partnership with or commercial endorsement of Kanexio.

  1. [1]
    Kanexio · project observations

    Initial diagnostic supplied by the owner, archived before and after HTTP observations, evidence provenance and timestamps.

    Verified on 26 October 2026
  2. [2]
    Is Agentic · kanexio.com report

    Public score of 100/100 and snapshot dated 26 October 2026 at 00:10 UTC, captured and accessed the same day.

    Verified on 26 October 2026
  3. [3]
    Is Agentic · methodology

    Score scope, applicability of checks, report caching and limits on interpretation.

    Verified on 26 October 2026
  4. [4]
    IETF · RFC 9110

    HTTP semantics, content negotiation, response statuses and the Vary field.

    Verified on 26 October 2026
  5. [5]
    IETF · RFC 7763

    Registration of the text/markdown content type.

    Verified on 26 October 2026
  6. [6]
    llmstxt.org · llms.txt proposal

    File structure and links to reference content useful to agents.

    Verified on 26 October 2026
  7. [7]
    Accept Markdown · negotiation convention

    Practical checks of the format, headers and Accept preferences.

    Verified on 26 October 2026
For a clearer understanding

This article's glossary.

Technical terms, simply explained.

19 terms
Digital accessibility
Designing content and services that people with different abilities can use, including with assistive technologies.Documentation
API
An interface that lets two software systems exchange data or trigger actions according to defined rules.
Audit
A structured examination of a website or process to identify problems, gather evidence and set priorities.
Automation
Execution of tasks by software according to defined rules. It can work without artificial intelligence.
Brief
A document or discussion setting out a project’s objective, audience, constraints and expected deliverables.
Cache
A temporarily retained copy of content to avoid recalculating or downloading it for every request.
Personal data
Information that can identify a person directly or indirectly, on its own or combined with other information.
Hosting
A service that makes a website's files or application available on servers accessible online.
HTML
The language that structures a web page's content: headings, paragraphs, images, links and forms.
HTTP and HTTPS
Communication protocols between a browser and server. HTTPS adds connection encryption.
Artificial intelligence (AI)
A set of techniques that enable software to perform tasks such as classifying, predicting or producing content. Their outputs require appropriate review.
JavaScript
A programming language used, among other things, for interactions and page behaviour in the browser.
LLM
Large language model: a system trained to process and produce text. It can formulate a convincing but inaccurate answer.
llms.txt
A proposed file presenting useful website content to AI systems. Its presence guarantees neither reading, citation nor ranking.
Sitemap
A file that tells engines about a website's important pages and, where applicable, their modification dates.Documentation
H1, H2 and H3 headings
Heading levels that structure a page: main heading, major sections and subsections.
Typography
The choice and arrangement of type: fonts, sizes, weights and spacing, to give text a tone and make it readable.
URL
The address of a resource on the web, such as a page, image or document.
Canonical URL
The address chosen as the reference version when several URLs show identical or very similar content.