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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 www.adamsilvaconsulting.com.
This is the hard grade for whether an AI agent can find www.adamsilvaconsulting.com, trust it, and complete a purchase.
Verified AI company2 of 6 engines surfaced the business organically.
Every engine row shows the prompt, model version, date, and evidence used for the score.
When a buyer asks an AI engine to recommend a company, does it name you? We measure every engine and label estimated fallbacks.
Each engine weights different evidence. These are the specific requirements, gaps, top fix, and score rationale for this report.
Not measured this run (the request timed out). This is not a zero; the priorities and gaps below still apply.
Not measured this run (the request timed out). This is not a zero; the priorities and gaps below still apply.
Gemini did not name you in any buyer query we asked (score 0/100). Build the signals this engine relies on.
Claude did not name you in any buyer query we asked (score 0/100). Build the signals this engine relies on.
Perplexity did not name you in any buyer query we asked (score 0/100). Build the signals this engine relies on.
Grok did not name you in any buyer query we asked (score 0/100). Build the signals this engine relies on.
Every protocol an agent needs to buy from you has to be discoverable before the transaction can start.
Protocol detected for agents
Protocol detected for agents
Protocol detected for agents
4 of 4 protocols detected
This is the moment that is already happening in your market, today.
best agentic commerce consulting near me
the ones it can actually read
the buyer calls a competitor
An agent waits about 300 milliseconds before it gives up and reads a faster competitor.
The technical pillars remain the source of truth, translated here into buyer-facing language.
Strong: Strong machine-readable HTML. Agents can reach substantive facts without excessive script or markup overhead.
Strong: AI assistants recommend you in roughly 83 of every 100 buyer queries. Strong signal.
Strong: Outside sources cover you above average for your category.
Strong: 32 social profile(s) detected. AI uses these to confirm you exist as a real business.
Strong: AI treats you as a trusted business in your category.
Strong: AI search engines can quote you cleanly.
Strong: Strong setup.
Strong: 44 of the labels AI looks for are on your site; 1 important ones are missing.
Strong: AI tools include you in their answers.
Strong: AI crawlers can reach your site cleanly.
Independent data points the scan pulled from sources beyond your own site. These are the facts AI engines cross-check before they trust you.
Reviews are the trust layer AI engines check before recommending you. These are your live counts and the gap to each platform's bar.
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.
Every gap above, ordered by what to fix first. Close these and AI engines move you from invisible to the company they name.
High-impact gaps holding back recommendation
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 needs 10+ reviews for TrustScore visibility. You have 3. Get 7 more verified reviews to clear it.
Fix with Authority BuildingRefinements that compound once the above land
Newsrooms signal active brand communication to AI crawlers. Brands with newsrooms receive 4x more AI citations for industry news queries.
Podcast transcripts are major LLM training data sources. Brands with podcast presence appear more frequently in conversational AI responses.
Verified review counts meet the minimum thresholds for AI recommendation eligibility. 2 platforms cleared the bar.
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.
Each signal is scored against the routine questions a buyer in your category would actually ask an AI assistant.
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.
Measured across 41 content pages, so a bare homepage no longer hides the work your articles already do.
The agent-protocol and crawler-guidance files checked at your web root, the way an AI agent would.
/.well-known/ucpAgent protocolpresent/.well-known/acp/config.jsonAgent protocolpresent/.well-known/ap2/mandates.jsonAgent protocolpresent/.well-known/agent.jsonAgent protocolpresent/agent.jsonAgent protocolpresent/.well-known/ai-plugin.jsonAgent protocolpresent/llms.txtCrawler guidancepresent/robots.txtCrawler guidancepresent/sitemap.xmlSitemappresent/.well-known/security.txtSecuritypresent/humans.txtIdentitypresentNo issues found on this page. It is well-formed for AI engines.
Open pageNo issues found on this page. It is well-formed for AI engines.
Open pageNo issues found on this page. It is well-formed for AI engines.
Open pageNo issues found on this page. It is well-formed for AI engines.
Open pageNo issues found on this page. It is well-formed for AI engines.
Open pageNo issues found on this page. It is well-formed for AI engines.
Open pageNo issues found on this page. It is well-formed for AI engines.
Open pageACRA 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.