Website screenshot for adamsilvaconsulting.com
B87
adamsilvaconsulting.com captured Jun 27, 2026
Live assessment: six AI engines queried when available

Agentic Commerce Readiness for adamsilvaconsulting.com

AI shopping agents are already choosing companies for buyers in this market. This measures whether they can find, trust, and recommend adamsilvaconsulting.com.

Generated Jun 27, 2026Category businessProtocols audited UCP, ACP, AP2
B
87 / 100
Technical Readiness Grade
Strong infrastructure

Your infrastructure score. Strong technical readiness still does not guarantee AI recommends you, that is the AI Visibility number beside it.

AI VisibilityCritical
13/100
Can an agent buy from you?Yes
4/4 protocols
Engines measured
6/6
live, with receipts
Engines that found you
1/6
organic model visibility
Agent parse budget
299ms
against the 300ms target
Revenue exposed
$8K/mo
modeled on agentic adoption
1 AI Visibility across the six engines

When a buyer asks an AI engine to recommend a company, does it name you? We measure every engine and label estimated fallbacks.

ChatGPTGeminiClaudePerplexityCopilotGrok
13
Measured average
Copilot
75
yer. ## Best companies, ranked ### 1. **Adam Silva Consulting** — best overall for focused B2B execution **Website:** adamsilvaconsulting.com **Why it stands out:** - Strong specialization in **agentic commerce infrastructure** plus **AEO/GEO** - Covers the full stack: **UCP, ACP, AP2**, AI visibility, lead gen, and automation - Betmeasured
ChatGPT
0
No organic mention across the measured buyer prompts.measured
Gemini
0
No organic mention across the measured buyer prompts.measured
Claude
0
No organic mention across the measured buyer prompts.measured
Perplexity
0
No organic mention across the measured buyer prompts.measured
Grok
0
No organic mention across the measured buyer prompts.measured
6 of 6 engines measured live: gpt-5.4, gemini-3.5-flash-low, claude-sonnet-4-6, sonar, grok-3-fast on Jun 27, 2026
2 Where the AI purchase breaks

Every protocol an agent needs to buy from you has to be discoverable before the transaction can start.

ok
UCP

Discover

Protocol detected for agents

ok
ACP

Check out

Protocol detected for agents

ok
AP2

Verify trust

Protocol detected for agents

Purchase enabled

4 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 business 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
299msyour load
0ms800ms1600ms
5 The nine signals AI reads

The technical pillars remain the source of truth, translated here into buyer-facing language.

01

Whether AI shopping assistants can buy from you

Strong: Strong setup.

02

How clearly AI can understand your business

Strong: 44 of the labels AI looks for are on your site; 1 important ones are missing.

03

Whether AI search engines quote your site

Strong: AI search engines can quote you cleanly.

04

Whether AI tools use your content in their answers

Mixed: AI tools include you in some answers, miss you in others.

05

Whether AI crawlers can reach your site at all

Strong: AI crawlers can reach your site cleanly.

06

Whether AI can confirm you exist across the web

Strong: 32 social profile(s) detected. AI uses these to confirm you exist as a real business.

07

What outside sources say about you

Strong: Outside sources cover you above average for your category.

08

How trusted you look to AI overall

Strong: AI treats you as a trusted business in your category.

09

How often AI is recommending you to buyers today

Strong: AI assistants recommend you in roughly 72 of every 100 buyer queries. Strong signal.

6 What it is costing you

Modeled monthly revenue exposed as buyers shift to agent-driven discovery.

$8Kper month at risk
Where the modeled exposure concentrates
100%
Poor Generative Engine Optimization LLMs are bypassing your content for competitors with stronger E-E-A-T and topical cluster architecture.
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 medium.
"
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

See where you are losing buyers.

See my score9 signals
Score87 / 100
Grade letterB
TierStrong
Scan runJun 27, 2026 · v3.2
How this is measured

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
Your next step

Get a 30-minute call with our team.

On the call, we walk through the 3 gaps that matter most for your business, why each one is costing you visibility, and the order to fix them. No proposal pressure, no slide deck. Just a clear next step you can act on whether or not we end up working together.