Sample Report

The exact format you receive.

A real Agent Readiness Report, scoring salesforce.com as it stood in April 2026. Same format paying clients get on day one of an engagement. Same scoring, same priority fixes, same developer time estimates.

Project your score

These are the three priority fixes from the Salesforce sample scan. Toggle them to watch the projected AVS climb through the bands.

REPORTED · 24
PROJECTED · 24
020406080100
PROJECTED AVS · TOGGLE THE FIXES BELOW
2424/ 100
AGENT DETECTED

Estimated from the three priority fixes identified in the April 2026 deep scan.

Top three priority fixes Estimated +30 AVS points
INTERACTIVE · TAP A FIX TO APPLY IT
No llms.txt. Agents have no machine-readable declaration of what Salesforce is or does.
Without llms.txt, agents must infer intent from crawled HTML. A single file would explicitly declare products, services, pricing structure, and agent permissions, and take under a day to deploy.
EST. 2 TO 4 HRS DEVELOPER TIME · +12 AVS
No explicit AI crawler permissions. Agents treat unspecified access as ambiguous.
robots.txt does not address GPTBot, ClaudeBot, or PerplexityBot by name. Agents reduce citation confidence when permissions are unspecified, even for a site as authoritative as Salesforce.
EST. 30 MIN DEVELOPER TIME · +8 AVS
Organization schema missing key fields. Agents cannot machine-verify entity identity.
foundingDate, numberOfEmployees, and sameAs authority links are absent or incomplete. Agents evaluating enterprise vendors need these fields to verify legitimacy before citing or recommending.
EST. 1 TO 2 HRS DEVELOPER TIME · +10 AVS
Real Scorecard

If Salesforce is not ready, neither is your business.

Salesforce sells an AI agent product. Salesforce is broadly detectable. But the action layer of Salesforce is largely absent to autonomous agents. Composite AVS: 24 of 100. This is the format paying clients receive.

Agent Readiness Report · Sample
salesforce.com Scanned April 2026 · scorer v1.2.0

Salesforce is broadly detectable. Agents can identify the category and core offering, but that is where it ends. The Action Score tells the real story: at 11 out of 100, an autonomous agent cannot meaningfully transact with Salesforce. No llms.txt, no agent-callable interface, no machine-readable trust signals. The company selling AI agents to enterprises is itself invisible to AI agents evaluating vendors. Detected. Not actionable.

Step 1 · This report
Agent Readability Score
41 / 100
Agent Considered

Agents detect salesforce.com and parse its basic entity. Crawlability is fine. Schema completeness, llms.txt, and explicit AI crawler permissions are missing, which drags readability below the category average.

Step 2 · Next step
Agent Action Score
11 / 100
Agent Invisible

No llms.txt. No agent-callable interface. No machine-readable trust verification. Despite selling Agentforce, agents cannot act on Salesforce without a human in the loop.

Final · Composite
Agent Viability Score
24 / 100
Agent Detected

A near-zero action score drags the composite down sharply. Salesforce is present in agent research but absent at the decision and transaction layer.

Top three priority fixes, estimated +30 AVS points
01
No llms.txt. Agents have no machine-readable declaration of what Salesforce is or does.
Without llms.txt, agents must infer intent from crawled HTML. A single file would explicitly declare products, services, pricing structure, and agent permissions, and take under a day to deploy.
Est. 2 to 4 hrs developer time
02
No explicit AI crawler permissions. Agents treat unspecified access as ambiguous.
robots.txt does not address GPTBot, ClaudeBot, or PerplexityBot by name. Agents reduce citation confidence when permissions are unspecified, even for a site as authoritative as Salesforce.
Est. 30 min developer time
03
Organization schema missing key fields. Agents cannot machine-verify entity identity.
foundingDate, numberOfEmployees, and sameAs authority links are absent or incomplete. Agents evaluating enterprise vendors need these fields to verify legitimacy before citing or recommending.
Est. 1 to 2 hrs developer time

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