The Agentiview methodology

How we measure
agent readiness, and
why it matters now.

The ARS, AAS, and AVS framework is the first structured, proprietary methodology for scoring how prepared a business is to be found, evaluated, and transacted with by autonomous AI agents, with no human in the loop.

Step 1 · Discovery layer
ARS
Agent Readability Score · 0–100

"Can agents find, parse, and trust you, with no human prompting?"

Step 2 · Action layer
AAS
Agent Action Score · 0–100

"Once agents understand you, can they act commercially, without any human?"

The verdict · Composite
AVS
Agent Viability Score · weighted

"How commercially prepared is this business for the agent economy?"

The key distinction: A well-written, beautifully designed website can score very low on ARS. Agents don't read prose, they parse structured data. A page with complete schema markup and clear entity definition will consistently outperform a polished marketing page with no machine-readable structure, even if the latter scores higher for human readers.

20+
Proprietary scoring dimensions

We measure and score over 20 dimensions across your digital presence using our proprietary scoring model, spanning how AI agents discover, parse, trust, and act on your business.

The full dimension breakdown, weighting, and scoring rubric are delivered with every paid assessment. The methodology is proprietary to Agentiview.

Score bands, ARS, AAS, and AVS share the same scale

Score Band ARS, readability AAS / AVS, actionability & viability
0–20
Agent Invisible
Not encountered in any agent evaluation
No commercial interaction possible
21–45
Agent Detected
Found, critical gaps prevent confident parsing or classification
Action barriers block all commercial interaction
46–65
Agent Considered
Agent-Readable ≥ 51
Broadly understood, structural gaps reduce citation confidence
Basic info evaluable, cannot initiate or complete commercial actions
66–75
Agent Eligible
Reliably parsed and classified, minor gaps remain
Some commercial actions accessible, pricing visible, trial partially available
76–90
Agent Ready
Agent-Ready ≥ 76
Full parsing, classification, and citation capability
Agents can recommend, compare, and transact autonomously
91–100
Agent Native
Agent-Native ≥ 91
Preferred citation source, citation equity compounds
Full agentic operability, MCP support, machine-readable pricing, self-serve provisioning
ARS
0 – 100
Step 1, Discovery & comprehension layer

Agent Readability Score:
Can AI agents discover and crawl you?

"Can an autonomous AI agent find, parse, and trust your digital presence, without any human prompting it?"

Why ARS is the prerequisite: An agent that cannot parse your digital presence cannot evaluate you. It will not attempt the action layer. A high AAS score is worthless without a sufficient ARS to get an agent through the discovery phase, your business simply won't appear in the evaluation set.

ARS measures how legible your business is to machine readers. Not how good your content is, how structured it is. A well-written homepage with no schema markup scores lower than a sparse page with complete entity definition. Agents parse signals, not prose.

LOW ARS
Agent Invisible or Detected

The agent finds a page but cannot classify the organization, product, or pricing. It either skips the business entirely or misrepresents it in comparison outputs. You are invisible in evaluations you never knew were happening.

HIGH ARS
Agent Considered or above

The agent confidently classifies the organization, verifies its entity, and extracts the information it needs to continue to the action layer. You are in the evaluation set. What happens next depends on your AAS.

What ARS measures in practice

ARS Signals: what agents actually check
Structured entity data
JSON-LD organization schema, sameAs links
Machine-readable content
Semantic HTML, heading hierarchy, factual density
Crawl permissions
robots.txt, llms.txt, AI-crawler directives
Discovery infrastructure
Sitemap, canonical tags, freshness signals
The gap: The commercial internet averages ARS 54. Most businesses are parseable. Almost none are optimised for agent evaluation. A single well-formed llms.txt file moves the needle significantly, and most companies haven't added one.
AAS
0 – 100
Step 2, Evaluation & action layer

Agent Action Score:
Can AI agents actually use your product?

"Once an AI agent understands your business, can it take meaningful commercial action, without any human intervention?"

The critical insight: A "Contact Us for Pricing" button scores zero on AAS. An agent cannot initiate a conversation. It can only call an endpoint, parse structured data, or complete a machine-readable form. If your commercial infrastructure requires a human to be involved at any point, an agent cannot transact with you, and will move on to a competitor who has built for agent interaction.

AAS measures whether the action layer of your business is machine-operable. Not whether you have a sales team, whether an autonomous agent can complete a commercial evaluation and initiate a transaction without any human in the loop.

LOW AAS
Agent Invisible to Detected

Pricing is hidden behind sales calls. Trial flows require human completion. No API documentation agents can discover. The business is present in the evaluation but cannot be acted upon, so agents route to alternatives.

HIGH AAS
Agent Eligible to Native

Pricing is on-domain and machine-readable. Trial provisioning is agent-callable. API documentation is discoverable. Social proof is structured. Agents can complete the entire evaluation and initiation cycle autonomously.

What AAS measures in practice

AAS Signals: what agents actually need
On-domain pricing
Machine-readable pricing, not "contact us"
Agent-callable actions
Trial signup, API access, booking flows
Structured social proof
Review schema, ratings, case study markup
Agent protocol support
MCP manifest, llms.txt permissions, API spec
The gap: The commercial internet averages AAS 39, far below ARS 54. Every industry can be read by agents. Almost none can be acted upon. This is where the revenue opportunity is, and where remediation has the highest ROI.
AVS
Composite
The verdict, composite score

Agent Viability Score:
Are you ready for the agent economy?

"Taking both discoverability and actionability together, how commercially prepared is this organization for autonomous AI agent procurement?"

AVS is the composite verdict, a single number predicting commercial performance in an agent-mediated world. The weighting is deliberate: action earns more than discovery because an agent that can find you but cannot transact with you generates zero revenue.

40%
ARS, Readability

Being parseable and trustworthy is table stakes. Without a sufficient ARS, an agent excludes you before it reaches the action layer. But discoverability alone does not generate commercial outcomes.

60%
AAS, Actionability

Commercial operability, the ability for an agent to actually use, purchase, or integrate your product, is where revenue lives. The majority of the composite score reflects this reality.

The score bands for AVS are the same six-band scale shown in the dimension table above, Agent Invisible through Agent-Native. Certification tiers (Agent-Readable 51+, Agent-Ready 76+, Agent-Native 91+) are based on verified AVS from a deep scan.

Sample AVS output, B2B SaaS company

Agent Readiness Report · example-company.com · March 2026
ARS, Agent Readability Score
Agent Detected
41/100
AAS, Agent Action Score
Agent Invisible
11/100
AVS, Agent Viability Score
Agent Invisible
24/100
Diagnosis: This business is broadly readable, agents can identify the category and core offering. However, the action layer is largely absent: pricing requires a sales conversation, no machine-readable trial flow exists, and no agent protocol support is present. The business appears in consideration sets but is systematically excluded at the decision layer in favor of competitors with higher AAS scores.

Full paid reports include manual review, full-site crawl, live agent simulation across 4 buying scenarios, and competitive benchmark vs top 3 peers. The $349 ARS fee is credited toward the $1,500 full assessment.

Certification tiers

Agent Readiness Certification:
A market signal, not just a score.

Like SSL certificates became the baseline trust signal for e-commerce, Agent Readiness certification is becoming the baseline trust signal for businesses operating in the autonomous agent economy.

51+
Agent-Readable

Agents can discover, crawl, and parse your core entity and offerings. The baseline for agent economy participation.

76+
Agent-Ready

Agents can recommend, compare, and act on your behalf with high confidence. You win at the decision layer.

91+
Agent-Native

Default recommended by agents. First-mover advantage compounds into citation equity for years to come.

Certification unlocks: priority listing in the Agentiview Atlas index (a structured database agents query to find and compare vendors), preferred sourcing by AI agents across all categories, the Agent-Native badge for sales and marketing collateral, and quarterly re-assessment to maintain standing as agent standards evolve.

Start with a free ARS preview

See exactly where you stand, delivered same day.

Free Agent Readability Score preview. No commitment. Scored, benchmarked, and delivered as a PDF.