Sample report

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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.

Step 1 of 3, Discovery layer

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.

Agent Readability Score · Preview
company.io
Scanned March 13, 2026
ARS
Free Preview
Agent ConsideredAgent ConsideredAgents find and broadly understand this business. However, structural gaps mean competitors with cleaner signals get selected at decision time. Visible, not yet chosen.

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.

4 Strong 3 Partial 3 Critical Gaps
Agent Considered, Visible But Commercially Inert
ARS 41 means the company is being systematically bypassed in AI-mediated evaluations. Agents find it but cannot confidently recommend it.
Score vs. benchmark, B2B software Q1 2026
Current score
54/100
Top quartile benchmark
72/100
Est. post-remediation
76/100

▼ 18 points below top quartile on readability, the bigger problem is the AAS

Score breakdown, 20 proprietary dimensions
Page Structure & Navigation
10/10
StrongStrongThis dimension is well-optimized. Agents can reliably parse, extract, and use this signal with high confidence. No remediation needed here, maintain it.
Technical Accessibility
10/10
StrongStrongThis dimension is well-optimized. Agents can reliably parse, extract, and use this signal with high confidence. No remediation needed here, maintain it.
Verifiable Facts & Specifics
8/10
StrongStrongThis dimension is well-optimized. Agents can reliably parse, extract, and use this signal with high confidence. No remediation needed here, maintain it.
AI Agent Permissions File
8/10
StrongStrongThis dimension is well-optimized. Agents can reliably parse, extract, and use this signal with high confidence. No remediation needed here, maintain it.
Information Consistency
6/10
PartialPartialThis dimension is partially implemented. Agents can extract some signal but gaps reduce confidence. A partial score here contributes to citation uncertainty, agents may include you but with lower weight than competitors who score Strong.
Content Recency Signals
5/10
PartialPartialThis dimension is partially implemented. Agents can extract some signal but gaps reduce confidence. A partial score here contributes to citation uncertainty, agents may include you but with lower weight than competitors who score Strong.
AI Crawler Permissions
5/10
PartialPartialThis dimension is partially implemented. Agents can extract some signal but gaps reduce confidence. A partial score here contributes to citation uncertainty, agents may include you but with lower weight than competitors who score Strong.
Brand & Company Identity
4/10
CriticalCriticalThis dimension is absent or broken. Agents receive no usable signal here and must either guess from context or exclude your business from evaluations that depend on this data point. Critical gaps have the highest individual impact on your score, and the highest ROI to fix.
Authority & Identity Verification
4/10
CriticalCriticalThis dimension is absent or broken. Agents receive no usable signal here and must either guess from context or exclude your business from evaluations that depend on this data point. Critical gaps have the highest individual impact on your score, and the highest ROI to fix.
Product & Business Data Tags
0/10
CriticalCriticalThis dimension is absent or broken. Agents receive no usable signal here and must either guess from context or exclude your business from evaluations that depend on this data point. Critical gaps have the highest individual impact on your score, and the highest ROI to fix.
Top priority fixes, resolving these 3 gaps adds an estimated +16 ARS points
Critical gap identified: machine readability layer
Agents evaluating companies in this category cannot classify or verify this business without human intervention. This gap is the highest-impact finding in the ARS assessment. Full remediation detail, implementation spec, and validation criteria are included in the paid ARS Full Report.
+10 ARS
Critical gap identified: entity authority layer
Agents treat this business as unverified, increasing risk of misattribution and omission from shortlists in autonomous evaluations. Implementation roadmap and validation criteria included in the paid report.
+4 ARS
Critical gap identified: disambiguation layer
Agents cannot reliably distinguish this business from category competitors, creating omission and misdescription risk across AI-generated shortlists and procurement evaluations. Full remediation spec in the paid report.
+2 ARS
Current ARS
54
Agent Considered
Post-remediation
82
Agent Ready
+28 ARS points
From visible-but-inert to fully machine-readable and agent-verifiable. 4–6 weeks of focused developer effort.

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 →
Step 2 of 3, Action layer

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.

Agent Action Score · Full Assessment
company.io
Scanned March 13, 2026
AAS
Full Assessment
Agent Invisible

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.

1 Strong 1 Partial 4 Gaps 4 Critical

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.

Score breakdown, 10 AAS dimensions
API Accessibility
8/10
StrongStrongThis dimension is well-optimized. Agents can reliably parse, extract, and use this signal with high confidence. No remediation needed here, maintain it.
Trust Verification (SOC2 / GDPR)
6/10
PartialPartialThis dimension is partially implemented. Agents can extract some signal but gaps reduce confidence. A partial score here contributes to citation uncertainty, agents may include you but with lower weight than competitors who score Strong.
Feature Comparability
5/10
GapGapThis dimension has a meaningful gap that agents are actively working around. The signal exists in some form but is not machine-readable or accessible enough to be reliably used. Closing Gap scores typically delivers moderate ARS/AAS uplift with relatively low developer effort.
Integration Clarity
5/10
GapGapThis dimension has a meaningful gap that agents are actively working around. The signal exists in some form but is not machine-readable or accessible enough to be reliably used. Closing Gap scores typically delivers moderate ARS/AAS uplift with relatively low developer effort.
Social Proof Accessibility
4/10
GapGapThis dimension has a meaningful gap that agents are actively working around. The signal exists in some form but is not machine-readable or accessible enough to be reliably used. Closing Gap scores typically delivers moderate ARS/AAS uplift with relatively low developer effort.
SLA & Support Clarity
4/10
GapGapThis dimension has a meaningful gap that agents are actively working around. The signal exists in some form but is not machine-readable or accessible enough to be reliably used. Closing Gap scores typically delivers moderate ARS/AAS uplift with relatively low developer effort.
Commercial Differentiation
3/10
CriticalCriticalThis dimension is absent or broken. Agents receive no usable signal here and must either guess from context or exclude your business from evaluations that depend on this data point. Critical gaps have the highest individual impact on your score, and the highest ROI to fix.
Commercial Pricing Signal
2/10
CriticalCriticalThis dimension is absent or broken. Agents receive no usable signal here and must either guess from context or exclude your business from evaluations that depend on this data point. Critical gaps have the highest individual impact on your score, and the highest ROI to fix.
Agent Action Interface
2/10
CriticalCriticalThis dimension is absent or broken. Agents receive no usable signal here and must either guess from context or exclude your business from evaluations that depend on this data point. Critical gaps have the highest individual impact on your score, and the highest ROI to fix.
Agent Protocol Layer
1/10
CriticalCriticalThis dimension is absent or broken. Agents receive no usable signal here and must either guess from context or exclude your business from evaluations that depend on this data point. Critical gaps have the highest individual impact on your score, and the highest ROI to fix.
Top priority AAS findings, resolving these 5 gaps adds an estimated +54 AAS points
Critical gap identified: commercial signal layer
Agents evaluating vendors in this category cannot extract the commercial data required to include this business in autonomous consideration sets. This is the single highest-impact AAS finding. Full remediation spec, implementation detail, and validation criteria are included in the Full Readiness Assessment.
+12 AAS
Critical gap identified: action interface layer
Agents cannot initiate or complete commercial actions on this site without human intervention, a hard block for agentic procurement flows. Remediation roadmap and implementation spec included in the Full Readiness Assessment.
+10 AAS
Critical gap identified: agent protocol layer
This business cannot be integrated into agentic workflows programmatically. The fastest-moving dimension across all AAS assessments. Full remediation spec included in the Full Readiness Assessment.
+10 AAS
Critical gap identified: trust signal layer
Agents cannot query structured social proof or trust signals on this domain, reducing weight in autonomous vendor evaluations. Implementation spec and validation criteria included in the Full Readiness Assessment.
+6 AAS
Critical gap identified: differentiation layer
Agents running comparative evaluations cannot distinguish this business from alternatives in machine-readable form. Creates omission and misdescription risk across autonomous procurement shortlists. Full spec in the Full Readiness Assessment.
+5 AAS
Current AAS
19
Agent Invisible
Post-remediation
73
Agent Eligible
+54 AAS points
From commercially invisible to agent-transactable. Agents can now evaluate, compare, and act autonomously.

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 →
The composite verdict

ARS and AAS combined into your AVS give the Agent Viability Score, the single number that matters.

AVS is the composite verdict, ARS and AAS combined into your AVS, weighted toward action because discoverability without transactability doesn't close deals. The AVS tells you exactly where you stand in the agent economy, and what it would take to reach Agent-Ready status.

View AVS
Final, Composite verdict

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.

Agent Viability Score · Composite Verdict
company.io
Scored March 13, 2026
AVS
Composite
Agent DetectedAgent DetectedAgents find and identify this business but the absence of actionable infrastructure means no commercial evaluation can be completed. Visible, commercially inert.

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.

Agent Viability Score bands, current position
≤ 20 Agent InvisibleAgent InvisibleYour business does not appear in autonomous agent evaluations. Agents conducting research, procurement comparisons, or category discovery do not encounter you at any stage. No agent-generated shortlist, citation, or transaction is possible from this position. Agents do not encounter you in evaluations. No presence in any autonomous vendor decision.
21–45 Agent DetectedAgent DetectedAgents find and identify your business but cannot verify claims, extract key commercial data, or take action. Critical structural gaps, missing schema, inaccessible pricing, no agent permissions file, prevent any confident evaluation. You are present but commercially inert. Agents find you but critical gaps prevent confident evaluation or transaction. ← Current position (33)
46–65 Agent ConsideredAgent ConsideredAgents include your business in research and can understand broadly what you do. However, structural gaps in machine-readable data mean that when agents reach the decision layer, comparing vendors, evaluating pricing, selecting for a shortlist, they route to competitors with cleaner signals. You are seen, not chosen. Agents include you in research but structural gaps route competitors ahead at decision time.
66–75 Agent EligibleAgent EligibleAgents actively include your business in consideration sets and can complete basic evaluation cycles. You are within one focused remediation effort of Agent Ready certification. Remaining gaps still cost you some evaluations, particularly in competitive categories where the margin between vendors is narrow. Agents include you in consideration sets, close to certification, gaps still cost some evaluations.
76–90 Agent ReadyAgent ReadyAgents reliably recommend and can transact with your business autonomously. This is the certification threshold, the point at which agent-mediated evaluation works end-to-end without human intervention. Compounding advantage begins here: the longer you hold this position, the harder it becomes for competitors to displace you in AI retrieval patterns. Agents reliably recommend and transact. Certification threshold. Compounding advantage begins.
91–100 Agent NativeAgent NativeYour business is the default recommendation in agent-mediated evaluations for your category. You have built genuine agent infrastructure, MCP endpoints, machine-readable pricing, structured entity definition, full schema coverage, and agent systems treat you as trusted infrastructure. Citation equity compounds into AI retrieval patterns for years from this position. Default agent recommendation. Citation equity compounds into AI retrieval patterns for years.
Projected AVS after full remediation, ARS + AAS fixes combined
Current (Agent Detected)
33/100
Post-ARS fixes only
46/100
Post-ARS + AAS fixes
77/100 Agent Ready
Today
33
Agent Detected
Post-remediation
77
Agent Ready
+44 points
From visible-but-inert to Agent Ready certified. The infrastructure investment pays for itself in the first recovered evaluation.
Diagnosis

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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The free ARS preview is generated from an automated crawl of your homepage and delivered within same day. The $349 fee is credited in full toward the Full Assessment.

01
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ARS Preview
Score across 20 proprietary dimensions. Category benchmark. Top 3 priority fixes with dev time estimates.
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02
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ARS Full Report
Complete proprietary ARS dimension breakdown. Phased remediation roadmap. Score projection per fix phase. Multi-page site analysis.
Credited toward Full Assessment
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04
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Full Remediation
Complete ARS + AAS infrastructure build. Schema, entity, permissions layer, agent-callable interfaces, MCP endpoints. Certification on completion.
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