Is your business invisible to AI agents?

Autonomous agents are evaluating vendors, sourcing suppliers, and recommending services without a human in the loop. Ninety-three percent of those sessions end without a click. If your infrastructure is not built for it, you are not in the conversation.

Agent Readability Score, publicly listed CRM.
salesforce.com · deep scan, April 2026
41 / 100
Agent Detected
Current score41 / 100
Top-quartile peer72 / 100
Post-remediation82 / 100

Detected. Not actionable. The company selling AI agents to enterprises scores below its own category average on agent readability. No special access, no manual review.

The Agentiview Index · recent deep scans Recent deep scans. Scores shown are AVS unless noted. No company reviewed this copy. UPDATED HOURLY
By the numbers
30×
Growth in the AI agent market by 2033, from $6B to $183B.
Grand View Research
357%
Year over year 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
Higher conversion from AI-referred traffic versus Google organic.
Exposure Ninja, 2026
"

The next trillion users on the internet will not be people. They will be AI agents.

Y Combinator
The Method

Three metrics. One verdict.

We crawl your site, score it against 10,000+ domains in our scored dataset, and return a prioritized fix list with developer-time estimates. Three scores, one actionable roadmap. No methodology pamphlet, no dashboard subscription. An audit with a number at the end.

Step 1 · Discovery layer
ARS
Agent Readability Score

Can agents find you, parse you, and trust what they find? A low ARS means excluded before evaluation begins.

10 dimensions · 0 to 100
Step 2 · Action layer
AAS
Agent Action Score

Can agents take action, compare pricing, initiate a trial, or transact without a human in the loop? A low AAS means visible but unreachable.

10 dimensions · 0 to 100
Composite · The verdict
AVS
Agent Viability Score

The composite of ARS and AAS, weighted toward action. Being found without being actionable does not convert.

Composite · 0 to 100
ARS + AAS AVS

Action is weighted higher. Discoverability without transactability does not close deals.

Six Bands · One Scale
RangeBandWhat it means
0 – 20Agent InvisibleNo meaningful presence in agent decision-making. Losing addressable pipeline invisibly.
21 – 45Agent DetectedAgents find you but cannot verify or transact. Commercially inert in autonomous evaluations.
46 – 65Agent ConsideredAgents include you in research but route to readier competitors at the decision layer.
66 – 75Agent EligibleAgents include you in consideration sets. Gaps still cost some evaluations.
76 – 90Agent ReadyAgents reliably recommend and transact with you. Certification threshold. Advantage compounds.
91 – 100Agent NativeDefault agent recommendation. Citation equity compounds into retrieval patterns for years.
Case Study

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 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 Detected

Agents can detect salesforce.com and parse its basic entity. Crawlability is fine. llms.txt, schema completeness, 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

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 drawn from our scored dataset, 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.

Most businesses that score well in search score below 40 on agent readiness. Your Google ranking tells you nothing about your agent visibility. These are separate problems, and only one is being solved right now.

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 2 a.m., 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.

Traditional SEO optimizes forAgent Readiness optimizes for
Humans typing queries into search enginesAI agents crawling and parsing data directly
Ranking in Google results a human clicksBeing recommended or cited with no human in the loop
Compelling copy that captures attentionStructured data that machines can verify and trust
Keywords, backlinks, page authoritySchema markup, entity definition, action endpoints
Google top-10 rankingAgent 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. As 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.

Preferred sourcing across AI agent evaluations
Agent-Native badge for sales collateral
Quarterly re-assessment to maintain standing
Full dimension-level fix roadmap included
Who this is for

Built for any business that wants to be found when agents come looking.

Scored data across every vertical we cover surfaces the same pattern: agents are already evaluating and most companies are not built for it.

Software & SaaS

Agents are already the primary research layer for software evaluation.

Avg ARS 58 · AAS gap widest in this category
Get your free score →
E-commerce

Agentic checkout is live. Shopping agents complete purchases autonomously.

20% of retail sales AI-influenced · 2025 holiday season
Get your free score →
Media & Publishing

Agent citations are the new backlinks, and they drive real human traffic.

770%+ YoY growth in AI-referred visitors
Get your free score →
Finance & Legal

Brand prestige means nothing if agents cannot verify your credentials.

Avg ARS 39 · lowest of any sector scored
Get your free score →
Professional Services

Agents check structured proof before they read a single line of copy.

Entity definition plus authority signals equal evaluation entry
Get your free score →
Healthcare & Life Sciences

Trust signals weighted three times higher here than any other sector we score.

Compliance and accreditations must be machine-readable, not PDFs
Get your free score →
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.
AI-driven web traffic grew 357% year over year in 2025. 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.
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. 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 our scored dataset, 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.
See where you stand

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