How long does it take for agentic selling to produce results?

AI visibility improvements can begin showing within days of deploying correct AI signals — structured data, llms.txt, and discovery pages are parsed by AI crawlers quickly. Full recommendation frequency builds over weeks as AI platforms gain confidence in your entity signals.

Do I need technical knowledge to implement agentic selling?

No. Agent Console HQ provides a marketplace of pre-built agents and tools that handle the technical implementation. You provide your business information; the platform handles the AI signals, agent deployment, and platform coverage.

Can agentic selling work alongside my existing SEO and marketing?

Yes. Agentic selling is additive — it opens a new acquisition channel (AI-driven recommendations) that runs independently of your existing SEO, paid ads, and social media activity. Many businesses run both simultaneously.

How Agentic Selling Works

Agentic selling is a four-step process: audit your current AI visibility, structure your business for AI, deploy agents, and get recommended. Here is how each step works in practice.

Run an AI Visibility Audit

Before deploying agents, you need to understand how visible your business currently is to AI platforms. An AI Visibility Audit scores your business across the key signals AI platforms use to decide what to recommend — structured data, schema markup, llms.txt, AI plugin manifest, discovery pages, sitemap, robots.txt, and HTTPS. Most businesses score between 20–60 out of 100 before any optimisation.

Structure your business for AI

AI platforms do not recommend businesses they cannot parse with confidence. This step involves creating the machine-readable signals that establish your business as a credible, recommendable entity: JSON-LD structured data, FAQPage schema, a formatted llms.txt file, an AI plugin manifest at /.well-known/ai-plugin.json, dedicated discovery pages, and a clean XML sitemap. These signals tell AI platforms who you are, what you do, and why you should be recommended.

Deploy your AI agents

Agent Console HQ deploys pre-built or custom AI agents trained on your brand, products, services, and competitive advantages. Agents operate simultaneously across ChatGPT, Claude, Perplexity, Gemini, and Grok — monitoring conversations, positioning your business in relevant recommendation contexts, and ensuring your entity data is current and accurate across all platforms.

Customers arrive pre-qualified

When buyers ask an AI platform for a recommendation in your category — "best accountant in London", "which CRM for a small business", "top estate agent in my area" — your agents ensure your business is the answer. Customers who arrive via AI recommendation are typically further along in their buying decision, more trusting, and more likely to convert than those from cold outreach or paid ads.

The AI visibility signals that matter

AI platforms assess businesses across a consistent set of signals before recommending them. Understanding these signals is the foundation of agentic selling.

JSON-LD Structured Data

Schema.org markup embedded in your pages that tells AI what your business is, who it serves, and what it offers.

FAQPage Schema

Structured question-and-answer content that AI platforms parse to understand your business's context and expertise.

llms.txt

A plain-text file at the root of your domain that gives language models a direct, structured summary of your business.

AI Plugin Manifest

A JSON file at /.well-known/ai-plugin.json that formally introduces your business to AI systems and describes your capabilities.

Discovery Pages

Dedicated informational pages about your business, products, and expertise — structured content AI crawlers can index and trust.

robots.txt + Sitemap

Explicit permission for AI crawlers to access your site, plus a clean XML sitemap that makes discovery efficient.

See your current AI visibility score

Run a free audit and find out exactly which signals your business is missing.

Run a Free AI Visibility Audit