Zendesk

zendesk.com

B2BRank #07 of 3011 agent-blocking issuesMethodology ar-1.0

62/100

Mostly Ready

How an agent reads Zendesk

B2B Conversion Signals

5/10

Pricing is unclear

An agent assessing fit needs a price signal; if it can't find one it ranks you below rivals that show it.

Fix: Publish clear pricing, or at least transparent ranges and starting points.

+1 more issue flagged in this dimension.

Journey Completability

11/20

Everything behind a form

Agents can't fill arbitrary human forms; gating blocks autonomous completion.

Fix: Let agents self-serve the core path; reserve forms for genuinely human steps.

+2 more issues flagged in this dimension.

Agent-Readable Content

12/20

Content only loads with JavaScript

Many agents read raw HTML and don't run heavy JS — your value prop and products effectively don't exist to them.

Fix: Server-render or pre-render critical content so it's present in the HTML.

+1 more issue flagged in this dimension.

ICP Signal Clarity

13/20

Unclear what you offer

If an agent can't classify your offering fast it can't match you to the buyer's need and moves on.

Fix: Lead with a plain one-line description of what you do and for whom.

Agent Discoverability

14/20

No llms.txt file

Without it an agent guesses your structure from raw HTML and often misses pricing, products or the path to buy.

Fix: Add an /llms.txt summarising your offering, key URLs, and how to buy or book.

+1 more issue flagged in this dimension.

Trust & Proof

7/10

No structured data

Structured data is how agents reliably read price, availability and what you sell. Without it they guess.

Fix: Add schema.org JSON-LD for your products/offers and organisation.

The fast win

Now

→

Projected

Publishing a tailored llms.txt and structured-data block alone would lift Zendesk by +26 points to AI Ready — no re-platforming required. Actum generates both files automatically from a scan.

Scan your own site free →

Is this your brand? Run a live scan to generate your fix files and move up the Index.

Scored by the Actum agent-readiness engine (ar-1.0) against the live zendesk.com on 8 June 2026. Scores reflect how readable and completable the site is for autonomous AI buying agents, not its quality as a human-facing experience. Zendesk is not affiliated with Actum.