Integrations One layer across your entire stack

Plug 42A into the tools your customers - and their agents - already use.

From the AI answer engines and agentic protocols to your analytics, CMS, commerce and chat platforms, 42A connects to all of it to make your product measurable, discoverable and agent-ready.

20+ integrations · 5 categories · every major AI engine

What connecting does

Connect once. We make your product agent-ready behind the scenes.

Connect a platform like WordPress and 42A goes to work under the hood. No re-platforming, no second site to maintain. We wrap your product in our Agentic Enablement Layer so agents can find it, understand it and use it.

i

Agentic Enablement Layer

We wrap your product in our AEL so any agent can discover, understand and use it - not just read about it.

ii

MCP + protocols

We stand up a Model Context Protocol server and the right agentic protocols, ACP and more, on top of your platform.

iii

An agent-optimized mirror

Behind the scenes we generate a machine-readable mirror of your pages, customized for agents and LLMs and always in sync with your live site.

iv

Structured data + measurement

Schema, llms.txt and continuous scoring across every major model, so you can see and defend your position.

01 - AI Answer Engines

The models your customers ask - and the ones that decide whether your brand makes the shortlist.

ChatGPT

Measure and improve how OpenAI models cite, rank and recommend you in answers.

Claude

Track your presence across Anthropic’s Claude models and agentic workflows.

Google Gemini

Win visibility inside Gemini answers and Google’s AI-generated results.

Perplexity

Earn citations in Perplexity’s sourced answers where buyers do their research.

Microsoft Copilot

Show up across Copilot experiences spanning Windows, Edge and Microsoft 365.

DeepSeek

Extend the same visibility playbook to DeepSeek’s fast-growing model family.

02 - Agentic Protocols

The rails agents use to discover, call and transact with your product - not just read about it.

MCP

Expose your product to agents through a production Model Context Protocol server.

ACP

Enable agent-driven checkout with the Agentic Commerce Protocol so agents can buy.

03 - Analytics & Search Console

The measurement stack we plug into to ground every recommendation in your real data.

Google Analytics

Connect GA4 to tie AI-driven visibility back to sessions, conversions and revenue.

Google Search Console

Fold in Search Console data to align classic search and generative visibility.

Bing Webmaster Tools

Pull in Bing Webmaster Tools so your visibility spans Microsoft search and Copilot, which is Bing-backed.

04 - CMS & Commerce

The platforms your product lives on. Connect one and we expose it to agents behind the scenes - MCP server, protocols and an agent-optimized mirror of your pages.

WordPress

Connect WordPress and we expose it to agents: an MCP server, protocols and an agent-optimized mirror of every page, generated behind the scenes.

Shopify

Turn your Shopify store agent-ready with structured product data, agentic checkout and a machine-readable mirror kept in sync.

WooCommerce

Expose WooCommerce to agents through MCP and enriched, machine-readable feeds so they can compare and buy with confidence.

HubSpot

Wire HubSpot content and CRM signals into our Agentic Enablement Layer and AI-visibility surface.

05 - Customer Chat & Support

The chat and support apps on your site. We make them smarter with our Agentic Enablement Layer, so their AI can actually act, not just reply.

Intercom

Turn your Intercom messenger into an agent-ready surface so it can answer and take action, grounded in your real product.

Zendesk

Ground Zendesk answers in your agent-ready surface so responses are accurate and can resolve, not just deflect.

LiveChat

Give LiveChat conversations real product actions through our Agentic Enablement Layer.

Help Scout

Power Help Scout with agent-ready data so its AI can resolve issues, not just draft replies.

Chatwoot

Connect Chatwoot to our AEL so its agents can act on live, machine-readable product context.

How the integration runs

Connect once. Win everywhere.

01

Connect

Link your analytics, search console, CMS and commerce platforms in minutes - read-only where it can be.

02

Measure

We score how every major AI engine discovers, ranks and recommends you, grounded in your real data.

03

Build

We ship the agent-ready surface - structured data, MCP server, ACP checkout - into your existing stack.

04

Verify

Synthetic agents re-run your funnels across the models every week, so a model update never quietly costs you.

Why it matters

Every integration feeds one goal: being chosen.

Your data proves what works. The engines decide who gets recommended. The protocols let the agent actually transact. 42A ties them together: measure your position inside AI answers with our AI visibility platform, then build the agent-ready surface across your whole stack.

Integrationquestions

What actually happens when I connect a platform like WordPress?+

We make your product agent-ready behind the scenes. Connecting a platform like WordPress exposes it through our Agentic Enablement Layer: we stand up a Model Context Protocol (MCP) server and the right agentic protocols, and we generate an agent-optimized mirror of your pages - a machine-readable version customized for agents and LLMs that stays in sync with your live site. No re-platforming and no second site to maintain.

Do you work with customer chat tools like Intercom or Zendesk?+

Yes. We make leading chat and support apps - Intercom, Zendesk, LiveChat, Help Scout and Chatwoot - smarter through our Agentic Enablement Layer. Their AI stops guessing and starts acting, because it is grounded in the same agent-ready surface and product data we expose to every other agent.

Which AI engines does 42A optimize for?+

All the major AI answer engines: ChatGPT (OpenAI), Claude (Anthropic), Google Gemini, Perplexity, Microsoft Copilot and DeepSeek. We test every change across these models rather than tuning to a single one, because your customers use all of them.

What are MCP and ACP, and why do they matter?+

MCP (Model Context Protocol) is the standard that lets AI agents call your product as a tool. ACP (Agentic Commerce Protocol) lets agents complete checkout on a customer’s behalf. Together they turn your product from something an agent can only read about into something it can actually use and transact with.

Do you integrate with my analytics and search tools?+

Yes. We connect to Google Analytics (GA4) and Google Search Console so every recommendation is grounded in your real sessions, conversions and search performance - tying generative AI visibility back to revenue.

Can 42A work with WordPress, Shopify, WooCommerce or HubSpot?+

Yes. We ship structured data, llms.txt, agent-ready markup and machine-readable product feeds directly into WordPress, Shopify, WooCommerce and HubSpot - so agents can discover, compare and buy from the platform your product already lives on.

Do I need to rebuild my site to become agent-ready?+

No. 42A plugs into your existing stack. We add the structured surface, protocols and measurement on top of what you already run, and an embedded 42A engineer ships working endpoints alongside your team - no re-platforming required.

How is this different from traditional SEO?+

Classic SEO optimizes for ranked blue links. 42A optimizes for GEO, AEO and agent-readiness: being cited, recommended and transacted with inside AI answers and by autonomous agents. We fold your Search Console data in, but the goal is winning the AI recommendation, not just the search result.

Connect your stack. Be the product agents choose.