The agentic-commerce readiness standard, measured live across six AI engines
Agentic Commerce Readiness for efficientsystemsair.com
AI shopping agents are already choosing companies for buyers in this market. Not by ranking pages, by whether they can find you, trust you, and complete a purchase. This grades exactly that for Efficient Systems Heating & Cooling HVAC.
No agentic protocol layer (UCP/ACP) - ChatGPT cannot transact with or confidently surface you.
Thin structured data - ChatGPT cannot extract your products, pricing, or answers.
No verified reviews or press for ChatGPT to validate trust.
Highest-leverage fix
No agentic protocol layer (UCP/ACP) - ChatGPT cannot transact with or confidently surface you.
Claude
not measured
Not measured this run (a temporary measurement error). This is not a zero; the priorities and gaps below still apply.
What it prioritizes
Entity clarity (Organization schema linked via sameAs)
Demonstrable E-E-A-T and real outcomes (case studies)
Clean structured data and agent infrastructure
Your gaps
Unverified brand entity - Claude cannot confirm who you are without linked, corroborated identity.
Missing structured data - Claude reads your page as unlabelled text.
No case studies or documented outcomes for Claude to weight.
Highest-leverage fix
Unverified brand entity - Claude cannot confirm who you are without linked, corroborated identity.
Perplexity
not measured
Not measured this run (the AI provider account hit its usage limit). This is not a zero; the priorities and gaps below still apply.
What it prioritizes
Citable third-party sources (Perplexity is citation-first)
Press coverage and research citations
E-E-A-T and review trust
Your gaps
No citable press footprint - Perplexity ranks by third-party sources it can cite.
No research citations or authorship depth for Perplexity to trust.
No external validation for Perplexity to reference.
Highest-leverage fix
No citable press footprint - Perplexity ranks by third-party sources it can cite.
Microsoft Copilot
not measured
Not measured this run (this engine is not connected yet). This is not a zero; the priorities and gaps below still apply.
What it prioritizes
Same OpenAI backbone as ChatGPT, plus the Microsoft business graph
LinkedIn and professional authority signals
Syndicated press and structured data
Your gaps
Weak LinkedIn / professional presence - Copilot leans on the Microsoft business graph.
No agentic protocol layer - Copilot shares ChatGPT's execution requirements.
No syndicated press for Copilot to weight as third-party authority.
Highest-leverage fix
Weak LinkedIn / professional presence - Copilot leans on the Microsoft business graph.
Gemini
0/100
Gemini did not name you in any buyer query we asked (score 0/100). Insufficient schema - Gemini relies on it more than any other engine.
What it prioritizes
Rich schema markup (Gemini is the most schema-hungry engine)
Google Business Profile and Google-native signals
E-E-A-T and social sameAs for entity disambiguation
Your gaps
Insufficient schema - Gemini relies on it more than any other engine.
No Google Business Profile / sameAs links - breaks Gemini entity disambiguation and AI Overviews.
Weak E-E-A-T - Gemini will not treat you as an authoritative source.
Highest-leverage fix
Insufficient schema - Gemini relies on it more than any other engine.
Grok
0/100
Grok did not name you in any buyer query we asked (score 0/100). No active X / social presence - Grok is built on the live X signal; this is its #1 input.
What it prioritizes
Live X / social presence and recency (its single biggest input)
Active public conversation and earned media
Fresh, dated content
Your gaps
No active X / social presence - Grok is built on the live X signal; this is its #1 input.
No earned media or fresh public chatter for Grok to surface.
No dated, recent content - Grok heavily favours recency.
Highest-leverage fix
No active X / social presence - Grok is built on the live X signal; this is its #1 input.
2 Where the AI purchase breaks
Every protocol an agent needs to buy from you has to be discoverable before the transaction can start.
!
UCP
Discover
Agent cannot find what you sell
!
ACP
Check out
Agent cannot complete a purchase
!
AP2
Verify trust
No mandate, enterprise AI walks
Purchase blocked
1 of 4 protocols detected
3 The buyer you never see
This is the moment that is already happening in your market, today.
Buyer asks AI
best HVAC repair & installation services near me
AI names 3 companies
the ones it can actually read
You are not one of them
the buyer calls a competitor
You never see this happen, and you never see the sale you lost
4 Too slow for an AI to read
An agent waits about 300 milliseconds before it gives up and reads a faster competitor.
300msagent budget
1140msyour load
0ms800ms1600ms
5 The nine signals AI reads
The technical pillars remain the source of truth, translated here into buyer-facing language.
04
Worst failing signal
Whether AI tools use your content in their answers
Currently limiting your visibility: Missing the depth and authorship cues AI tools use to include your content in their answers.
01
Whether AI shopping assistants can buy from you
Currently limiting your visibility: AI shopping assistants cannot buy from you cleanly today. They can browse the site, but the signals they need to transact are missing.
07
What outside sources say about you
Currently limiting your visibility: Outside sources rarely mention you. AI cannot find independent proof you exist or matter.
09
How often AI is recommending you to buyers today
Needs work: AI assistants recommend you in roughly 39 of every 100 buyer queries. Inconsistent across prompts.
02
How clearly AI can understand your business
Needs work: 12 of the labels AI looks for are on your site; 10 important ones are missing.
08
How trusted you look to AI overall
Mixed: AI sees you as a real business but not yet as a category leader.
03
Whether AI search engines quote your site
Mixed: Some pages are quotable by AI; most are not yet formatted for direct citation.
06
Whether AI can confirm you exist across the web
Solid: 6 social profile(s) detected. AI uses these to confirm you exist as a real business.
10
How cheaply AI can read your pages
Solid: Machine readability is mixed. Raw facts exist, but script weight or markup noise still taxes agent parsing.
05
Whether AI crawlers can reach your site at all
Strong: AI crawlers can reach your site cleanly.
5A What AI found out about you
Independent data points the scan pulled from sources beyond your own site. These are the facts AI engines cross-check before they trust you.
What AI found out about you
6 data points pulled from independent sources, not your own site
Authority and identity
Wikipedianone
Schema.org types12
Press and media
Self-published pages0
Earned media mentions0
Independent pressnone
Social profiles6
5B Third-party reviews AI can verify
Reviews are the trust layer AI engines check before recommending you. These are your live counts and the gap to each platform's bar.
Third-party reviews AI can verify
AI shopping engines trust businesses real customers have reviewed. Some commerce surfaces require review depth before they trust a merchant. Here is where efficientsystemsair.com stands and the exact gap to close.
Modeled monthly revenue exposed as buyers shift to agent-driven discovery.
$76Kper month at risk
Where the modeled exposure concentrates
41%
22%
14%
No Agentic Protocol (UCP/ACP/AP2) AI shopping agents cannot discover or purchase from your site. You are invisible to the fastest-growing commerce channel.
Poor Generative Engine Optimization LLMs are bypassing your content for competitors with stronger E-E-A-T and topical cluster architecture.
Missing from AI Answer Engines ChatGPT, Perplexity, and Claude are answering your category queries — but recommending competitors, not you.
The plan
Your prioritized path to recommended
Every gap above, ordered by what to fix first. Close these and AI engines move you from invisible to the company they name.
1
Fix first
Critical gaps blocking AI from transacting with or trusting you
No UCP Profile
Your site has no UCP profile at /.well-known/ucp (the official Google path) or the legacy /.well-known/ucp/manifest.json. AI shopping agents cannot discover your product catalog.
AI agents cannot read your pricing, availability, or product specifications. Your catalog is invisible to agentic commerce flows.
No Author E-E-A-T Signals
Google and LLMs require clear author expertise signals (E-E-A-T). Anonymous content is down-ranked in generative results.
Cannot Accept Agentic Purchases
ChatGPT Instant Checkout, Claude Commerce, and Perplexity Shop require ACP-compatible endpoints. Without this, AI agents literally cannot buy from you.
No /agent.json or /ai-plugin.json means LLMs cannot load your capability schema for function calling or tool use.
Missing FAQPage Schema
FAQ schema allows LLMs to retrieve precise answers directly, eliminating hallucination risk for your key product questions.
Methodology note. Scores combine protocol checks, machine-readable signals, the nine ACRA pillars, and live model receipts when available. Missing measurements degrade to labeled estimates.
Machine-readability context. Crawlability grade A, zero-click net loss 32%, hallucination risk high.
"
By 2028, ninety percent of B2B purchases will run through AI agents. The engines that cannot see you will not ask permission, they will simply recommend someone else.
Gartner via Digital Commerce 360: agent-mediated purchases
Each signal is scored against the routine questions a buyer in your category would actually ask an AI assistant.
Buyer queries
240 routine questions an AI assistant fields for a buyer in your category, tested across 5 AI platforms.
Per-signal score
How often you surface cleanly versus how often a similar peer does on the same query.
Versus peers
The peer median is the middle competitor in your category at the time of the scan.
Full methodology available on request
Full-site deep dive
Every page, audited the way an AI agent reads it
We followed your sitemaps and root manifests to find every page your site publishes, then audited each one and wrote the specific fix for it. This is the part a one-page scan cannot see.
0
pages audited
0
average page score
0%
pages with structured data
3/11
root manifests present
Root manifest health
The agent-protocol and crawler-guidance files checked at your web root, the way an AI agent would.
ACRA measures whether agents can find you, trust you, and complete a purchase. Review the gaps with our team, then keep rescanning as fixes ship and competitors move.
1,499 dollars per year for the premium annual subscription.
299 dollars per 10 scans for the 10 looks pack.
Monthly service plans are preferred after the assessment. Your ACRA fee is credited toward ASC services when you proceed. Affiliate discount codes are available.
