Step 1, Discovery layer
ARS
Agent Readability Score
Can agents find you, parse you, and trust what they find? Low ARS = excluded before evaluation begins.
10 dimensions · 0–100
We have scored 30,000+ companies for AI agent readiness. Most fail.
Is your business
Is your business
invisible to AI agents?
Autonomous agents are evaluating vendors, sourcing suppliers, and recommending services without a human in the loop. 93% of those sessions end without a click. If your infrastructure is not built for it, you are not in the conversation.
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Agent Readability Score
● Agent Considered
salesforce.com· Scanned April 2026
3 Strong dimensions
3 Partial dimensions
4 Critical gaps
Current score
56/100
Top quartile
72/100
Post-remediation est.
82/100
This is what most companies score. Agents find them, then move on. See the full example →
30×
Growth in the AI agent market by 2033, from $6B to $183B
Grand View Research
357%
YoY growth in AI-driven web traffic, agents are already arriving
Similarweb, 2025
25%
of enterprise purchases will involve an AI agent by end of 2026
Gartner
80%
of URLs cited by ChatGPT do not rank in Google's top 100
Ahrefs, 2025
93%
of AI search sessions end without a website click
Superlines, 2026
5×
higher conversion from AI-referred traffic vs Google organic
Exposure Ninja, 2026
How Agentiview scores your readiness
Three metrics. One verdict.
We crawl your site, score it across 20 dimensions, benchmark it against 30,000+ companies in our index, and return a prioritized fix list with developer time estimates. Three scores, one actionable roadmap.
Step 2, Action layer
AAS
Agent Action Score
Can agents take action, compare pricing, initiate a trial, transact, without a human in the loop? Low AAS = visible but unreachable.
10 dimensions · 0–100Composite, The verdict
AVS
Agent Viability Score
The composite output of ARS and AAS. Weighted toward action because being found without being actionable does not convert.
Composite · 0–100
ARS + AAS → AVS
Action weighted higher, discoverability without transactability does not close deals.
Six bands, one scale: where does your business sit?
| AVS range | Band | What it means |
|---|---|---|
0–20 |
Agent Invisible | No meaningful presence in agent decision-making. Losing addressable pipeline invisibly. |
21–45 |
Agent Detected | Agents find you but cannot verify or transact. Commercially inert in autonomous evaluations. |
46–65 |
Agent Considered | Agents include you in research but route to readier competitors at the decision layer. |
66–75 |
Agent Eligible | Agents include you in consideration sets, gaps still cost some evaluations. |
76–90 |
Agent Ready | Agents reliably recommend and transact with you. Certification threshold. Advantage compounds. |
91–100 |
Agent Native | Default agent recommendation. Citation equity compounds into retrieval patterns for years. |
Real scorecard: Salesforce.com
If Salesforce is not ready, neither is your business.
This is Salesforce's actual Agent Readiness Score, pulled April 2026. The company that sells an AI agent product scores Agent Detected. No special access. No manual review. This is what agents see.
Agent Readability Audit · Confidential Preview
salesforce.com· Scanned April 2026
Agent Readability Score
56/100
● Agent Considered
salesforce.com scores above the enterprise average on readability. Agents can find and broadly parse it. But their Action Score tells the real story: no llms.txt, no agent-callable interface, no machine-readable trust signals. The company selling AI agents to enterprises is invisible to AI agents evaluating vendors. Found. Considered. Routed past.
3 Strong dimensions
3 Partial dimensions
4 Critical gaps
Score vs. Benchmark
salesforce.com (current)
35/100 AVS
Top quartile benchmark
72/100
Est. post-remediation
82/100
41 points below Agent Ready. The world's largest CRM, not ready for the agents it sells.
Step 1 · This report
Agent Readability Score
56/100
Agent Considered
Agents can find and broadly parse salesforce.com. Crawlability and factual density are strong. llms.txt, schema markup, and permission clarity are missing.
Step 2 · Next step
Agent Action Score
21/100
Agent Detected
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
35/100
Agent Detected
AAS of 21 drags the composite down despite decent readability. Salesforce is present in agent research but absent at the decision and transaction layer.
Top 3 Priority Fixes: resolving these adds an estimated +30 AVS points
1
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. 2–4 hrs developer time
2
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
3
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. 1–2 hrs developer time
ARS, AAS and AVS are proprietary frameworks of Agentiview. Preview generated by automated homepage scan. Final paid reports include manual review, full-site crawl, and benchmark data. Salesforce scores sourced from Agentiview Atlas, scorer v1.2.0, April 2026 deep scan. Benchmark based on B2B software companies scored Q1 2026.
Two different problems
Your SEO got you ranked on Google. AI agents have never heard of you.
SEO is built for humans, people who type a query, scan results, click a link, and read a page. That process still matters. But it is not how AI agents work.
Agents do not search. They do not click. They do not read your homepage. At 2am, an AI agent working on behalf of a CFO sourcing software, a consumer comparing products, or a journalist finding sources crawls your data directly, parses your schema, and evaluates your offering autonomously, no human in the loop. If your infrastructure is not built for that, you do not appear in the evaluation.
Your Google ranking tells you nothing about your agent visibility. Most businesses that score well in search score below 40 on agent readiness. These are separate problems, and only one of them is being solved right now.
| Traditional SEO optimizes for | Agent Readiness optimizes for |
|---|---|
| Humans typing queries into search engines | AI agents crawling and parsing data directly, across every category |
| Ranking in Google results a human clicks | Being recommended, purchased, or cited with no human in the loop |
| Compelling copy that captures attention | Structured data that machines can verify and trust |
| Keywords, backlinks, page authority | Schema markup, entity definition, action endpoints |
| Google top-10 ranking | Agent Readability Score + Agent Action Score |
The businesses that understand this shift now have the same compounding advantage that early SEO practitioners had in 2005. The window is open. It will not stay open.
Certification tiers
A market signal, not just a score.
Agentiview issues three certification tiers based on verified AVS deep scan. Like SSL became the trust standard for e-commerce, Agent Readiness certification is becoming the baseline trust signal for the agent economy.
51+
Threshold AVS
Agent-Readable
Agents can discover, crawl, and parse your core entity and offerings.
76+
Threshold AVS
Agent-Ready
Agents can recommend, compare, and act on your behalf with high confidence.
91+
Threshold AVS
Agent-Native
Default recommended. First-mover advantage compounds into AI retrieval patterns for years.
Priority listing in the Agentiview Atlas index
Preferred sourcing across AI agent evaluations
Agent-Native badge for sales collateral
Quarterly re-assessment to maintain standing
Who this is for
Built for any business that wants to be found when agents come looking.
Software & SaaS
Agents are already the primary research layer for software evaluation.
Avg ARS 58 · AAS gap widest in this category
E-commerce
Agentic checkout is live. Shopping agents complete purchases autonomously.
20% of retail sales AI-influenced · 2025 holiday season
Media & Publishing
Agent citations are the new backlinks, and they drive real human traffic.
770%+ YoY growth in AI-referred visitors · BBC, Reuters, Guardian
Finance & Legal
Brand prestige means nothing if agents cannot verify your credentials.
Avg ARS 39 · lowest of any sector scored · McKinsey scores 28
Professional Services
Agents check structured proof before they read a single line of copy.
Entity definition + authority signals = evaluation entry
Healthcare & Life Sciences
Trust signals weighted 3× higher here than any other sector we score.
Compliance + accreditations must be machine-readable, not PDFs
FAQ
Common questions.
Your buyers are still human. But they are increasingly delegating the research phase to AI agents before they ever get involved. A procurement manager at a Fortune 500 company asks Claude to shortlist three vendors before anyone picks up the phone. A CFO uses Perplexity to research software options before the evaluation even starts. You do not get a vote on whether that evaluation happens. You only get a vote on whether you appear in it. Being invisible to agents does not mean agents do not exist. It means you are not in the conversation.
AI-driven web traffic grew 357% year over year in 2025 (Similarweb). 80% of URLs cited by ChatGPT do not appear in Google’s top 100 results, meaning a separate evaluation layer is already producing commercial citations with no overlap to traditional search. 93% of AI search sessions end without a human clicking a link, meaning the agent made a recommendation or decision without ever sending a person to your site. Your analytics cannot see any of this because agents leave no cookies, no sessions, and no click trails. The absence of data is not evidence of absence.
No, and the gap is larger than most people expect. SEO optimizes for humans typing queries into Google and then reading results. Agent readiness solves what happens when no human is present at all. An autonomous agent does not use Google, does not read results, and does not click links. It crawls your infrastructure directly, parses your schema, evaluates your pricing and credentials, and either includes or excludes you in milliseconds. Google cares about backlinks and keyword relevance. Agents care about schema completeness, llms.txt, machine-readable pricing, and whether your API is callable without a human. 80% of AI-cited URLs do not appear in Google’s top 100. Your SEO rank has zero correlation with your agent visibility.
An automated crawl of your homepage producing your ARS score across all 10 dimensions, a benchmark against your industry average from the Agentiview Atlas, and your top 3 priority fixes with estimated implementation time. Delivered same day, no commitment required. The AAS and composite AVS, which measure whether agents can actually transact with you, require the full assessment.
They can attempt it. The individual fixes, such as schema markup, llms.txt, and crawler permissions, are not technically complex. The problem is prioritization. Without scored data you do not know which fixes move the needle, in what order, benchmarked against what standard. A developer working from a blog post implements schema, calls it done, and has no way of knowing whether they moved from Agent Invisible to Agent Detected or stayed exactly where they were. The assessment tells you your score before and after. That is the product.
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