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The scanner audits whether your website is structured to be discovered, cited, and recommended by AI agents. It evaluates four layers: crawlability and access (can the AI’s crawler reach your site, is your robots.txt configured correctly), entity clarity (is your business name, address, and identity unambiguous on the page and in third-party sources), structured data coverage (Schema.org Organization, LocalBusiness, FAQ, sameAs, canonical), and authority signals (review density, content freshness, partner-directory presence). The report grades each gap, weights it by impact, and ties it to the exact field, page, or directory that needs to change.

ChatGPT is the most-used AI agent for commerce queries today, and its discoverability requirements (Foursquare entry, Schema.org Organization on the website, OAI-SearchBot crawl access, Knowledge Graph entity coherence) are the most fully-documented of the four. Gemini (Google Business Profile + Knowledge Graph + Google-Extended), Perplexity (Yelp + PerplexityBot + publisher partnerships), Copilot (Bing Places + Bingbot + Microsoft Merchant Center), and Meta AI each ship as their own per-platform evaluator on the post-pilot roadmap. Each platform uses different data infrastructure — A-Comm.ai treats them as independent products, never blending one platform’s signals into another platform’s score.

No. AI agents and search engines retrieve from different infrastructure. Google ranks pages on a backlink-and-engagement signal stack; ChatGPT discovers businesses through Foursquare entries, structured data on the page, and the OAI-SearchBot crawl. A site can be #1 on Google for “best [type of business] in [city]” and completely invisible to ChatGPT for the same query. The two surfaces have to be solved separately.

The report is a punch list. Every gap names the exact field, page, or directory that needs to change — so you can act on it directly. Three practical paths:

• Fix it in-house. Hand the report to your developer or webmaster. Most structural fixes (Schema.org Organization JSON-LD, sameAs links, canonical URLs, robots.txt entries for OAI-SearchBot) are 30-minute changes a developer can ship the same day.
• Send it to your agency or freelancer. Each gap is platform-spec’d, so an outside vendor doesn’t need to guess at what ChatGPT requires.
• Claim and verify your third-party entries directly. Foursquare (the structural source ChatGPT pulls from), Google Business Profile (Gemini), Yelp (Perplexity), and Bing Places (Copilot) can each be claimed in under 10 minutes per platform.

Want it done for you? The automated fix-execution side of A-Comm.ai is in closed beta — see the cost question below for how to get access.

AEP is an open specification for capturing the evidence chain of an agent-originated transaction: discovery → session → intent → delegation → authorization → outcome. Each step is timestamped, cryptographically hashed (SHA-256), and linked to the prior step, producing a tamper-evident record that holds up in chargeback representment, compliance review, and audit.

A consumer who buys through a chat agent reaches the merchant’s checkout carrying almost none of the structured context the merchant or issuer needs to defend a chargeback. There’s no record of which AI surface the consumer started on, what intent they expressed in the conversation, what delegation authority the agent was operating under, or which cart maps to which authorization. Card-not-present took fifteen years to build that data layer — AVS, CVV2, 3-D Secure, tokenization, Compelling Evidence 3.0. Agent-originated transactions are back at the 1999 position, and the volume is arriving now, not in 2040.

When a dispute is filed, the merchant exports a DisputeBundle JSON from the AEP evidence vault. The bundle contains the full hash chain — discovery surface, conversation summary, item selection, delegation grant, authorization match, fulfillment record — formatted to plug into existing dispute-management tools (Chargebacks911, Midigator, Sift, Riskified, Justt, in-house ops). Issuers and arbitrators can verify each hash independently. AEP doesn’t run the dispute workflow; it provides the evidence the workflow has been missing.

A dispute-evidence format is only useful when every party in the transaction can read it — issuers, networks, acquirers, PSPs, dispute-management vendors, and merchants of every size on every commerce platform. A proprietary format would lock the value inside one vendor; an open spec lets the entire industry adopt and extend it. The pattern is proven: AVS, CVV2, 3-D Secure, and tokenization were each standardized outside any single vendor and became universal because they were open. AEP follows that pattern. A-Comm.ai is the first reference implementation, not the gatekeeper.

The Business Scanner is completely free — no credit card required. Everything else A-Comm.ai is building (automated fix execution, continuous monitoring, citation-rate tracking) is currently in closed beta. If you’d like to participate — including white-glove service where the founding team implements fixes for you — request access after your scan completes by contacting us at contact@a-comm.ai.