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A real Agent Readiness audit on a real company, anonymised. All 20 dimensions scored, priority fixes identified, and the composite AVS verdict rendered. This is the output of a paid Full Readiness Assessment.
Company anonymised. This audit was conducted on a live company scanned March 13, 2026. The company name and domain have been replaced with "Company / company.io" at the subject's request. All scores, findings, and priority fixes are real.
Agent Readability Score
Can an autonomous AI agent find, parse, and trust this business, without a human prompting it? The ARS measures structural and semantic quality from the machine's perspective across 20 proprietary dimensions spanning ARS and AAS.
Agents can find company.io, but the moment they try to act, every path is blocked.
ARS 54 means agents can locate and broadly understand this company. That is where the good news ends. Agents find it, parse the content, identify the category, and then hit a wall. No machine-readable pricing to evaluate. No callable interface to initiate a trial. No structured entity definition to verify claims. The discovery layer exists. The action layer does not.
▼ 18 points below top quartile on readability, the bigger problem is the AAS
ARS is a proprietary framework of Agentiview. This preview was generated by automated homepage scan and manual review. Benchmark based on B2B software companies scored Q1 2026. Methodology proprietary to Agentiview.
Get your own ARS score →Agent Action Score
Once an agent finds and understands this business, can it act? Compare pricing, start a trial, call an API, complete a purchase, all without a human in the loop? The AAS measures commercial operability across 20 proprietary dimensions spanning ARS and AAS.
Agents find company.io, but cannot transact with it. Commercially inert in autonomous evaluations.
AAS 19 means the company is commercially invisible to autonomous agents. Agents that successfully parse the company's content encounter a complete absence of actionable infrastructure. No machine-readable pricing. No agent-callable trial flow. No MCP endpoint. No permissions layer. A competitor with AAS 60 wins the autonomous evaluation, the company was never in contention.
Live agent simulation included. The AAS is not estimated, it reflects live agent simulation across 4 buying scenarios: discovery, pricing evaluation, trial initiation, and API integration. Each scenario was run with a real autonomous agent. The scores reflect what actually happened.
AAS is a proprietary framework of Agentiview. Scores reflect live agent simulation across 4 buying scenarios conducted March 13, 2026. Methodology and findings proprietary to Agentiview.
See Full Assessment →Agent Viability Score
The composite score. ARS and AAS combined into your AVS into a single number that predicts commercial performance in the agent economy. Weighted toward action, because discoverability without transactability doesn't close deals.
company.io is Agent Detected (33), found by agents but unable to be evaluated, compared, or transacted with autonomously.
AVS 28 places the company deep inside the Agent Detected band, the most commercially dangerous position in the agent economy. Agents that find the company cannot verify, evaluate, or transact with it. Every autonomous evaluation decision that reaches the company routes to a competitor with actionable infrastructure. the company is missing opportunities it has no visibility into.
An ARS of 54 and AAS of 19 reveal exactly how the agent economy punishes partial readiness. The discovery layer works. Agents find the company. But the moment any evaluation requires action, pricing, trial initiation, API access, every path is blocked. No machine-readable pricing. No agent-callable trial flow. No MCP endpoint. No structured competitive differentiation.
The ARS investment is not wasted, it means agents encounter the company before routing elsewhere. The AAS fixes turn that encounter into a conversion. Every AAS fix identified in this report has a direct line to recovered evaluations. In every autonomous evaluation scenario run, the agent routed to a competitor that enabled it to act. The gap is not a content problem. It is an infrastructure problem. And it is entirely fixable.
AVS is a proprietary framework of Agentiview. Composite verdict derived from ARS and AAS scores. Final paid reports include manual review, full-site crawl, live agent simulation, and proprietary benchmark data. Trademark pending. © 2026 Agentiview.
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