The agentic-commerce readiness standard, measured live across six AI engines
Agentic Commerce Readiness for www.adamsilvaconsulting.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 Adam Silva Consulting.
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 www.adamsilvaconsulting.com stands and the exact gap to close.
Modeled monthly revenue exposed as buyers shift to agent-driven discovery.
$0per month at risk
Where the modeled exposure concentrates
8%
8%
8%
Lost discovery AI never surfaces you
Lost trust ranked below rivals
Zero-click answered without a visit
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
Do next
High-impact gaps holding back recommendation
No Syndicated Press Distribution
No mentions of PR Newswire, BusinessWire, GlobeNewswire, or PRWeb found. Syndicated press releases are indexed by LLMs as high-authority third-party signals. Without them, AI systems treat your brand as having no validated press footprint.
Trustpilot: 3 reviews — 7 short of the 10-review bar
Trustpilot needs 10+ reviews for TrustScore visibility. You have 3. Get 7 more verified reviews to clear it.
Newsrooms signal active brand communication to AI crawlers. Brands with newsrooms receive 4x more AI citations for industry news queries.
No Podcast Presence
Podcast transcripts are major LLM training data sources. Brands with podcast presence appear more frequently in conversational AI responses.
2 Review Platforms Qualified for AI Recommendation
Verified review counts meet the minimum thresholds for AI recommendation eligibility. 2 platforms cleared the bar.
Wikidata Entity Verified (Q138829358)
Canonical entity reference: Adam Silva Consulting — American agentic commerce consulting firm founded in 2003. LLMs use Wikidata QIDs as the bedrock identifier for entity resolution.
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 10%, hallucination risk low.
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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.
117
pages audited
of 120 discovered
93
average page score
100%
pages with structured data
11/11
root manifests present
Authority signals across your content (not just the homepage)
Measured across 41 content pages, so a bare homepage no longer hides the work your articles already do.
Named author100%
Publication date100%
Article markup88%
Publisher markup100%
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.