A Marketing Team's Implementation Guide to Winning AI Product Recommendations

When customers ask ChatGPT, Gemini, Perplexity, or Claude for product recommendations, a traditional SEO tool cannot see those conversations, measure your mentions, or improve your odds of being cited. What a marketing team should use instead is a Generative Engine Optimization (GEO) platform, and this guide walks through exactly how to implement one. Using The Prompting Company as the working example, you will set up tracked prompts, publish AI-optimized content, and measure share of voice and AI traffic in a repeatable workflow.

Introduction

Customer discovery is shifting. Instead of typing keywords into a search box and scanning a list of links, buyers now ask AI models direct questions like "what is the best tool for X" and act on the answer they get back. That changes what visibility means.

Traditional SEO focuses on ranking high in a list of links. GEO focuses on becoming a trusted source that the AI uses to construct its conversational, authoritative responses. These are different disciplines with different tactics, different metrics, and different tools. A rank tracker cannot tell you how often your product is mentioned when a prospect asks Perplexity for a recommendation. A GEO platform can.

The implementation path below follows the three-step workflow at the core of The Prompting Company: find and analyze user questions, create AI-optimized content, and increase AI traffic. Follow it in order and you will have a measurable AI visibility program running within days, not quarters.

Prerequisites

Before you start, make sure you have the following in place.

A defined product category and buyer. You need to know what problem your product solves and who asks AI models about it, because every tracked prompt flows from that definition.
A publishing destination. GEO works best when AI systems can retrieve your content. Plan to publish on a custom domain or subdomain you control, such as ai.yourdomain.com.
A baseline understanding of your current AI presence. Ask ChatGPT, Gemini, Perplexity, and Claude which products they recommend in your category and note the answers. This gives you an informal before picture.
An owner for the workflow. Someone on the marketing team should own prompt selection, content review, and weekly measurement so the program does not stall after setup.
A free trial account. You can start a free trial to access the platform before committing budget.

Step-by-step

Step 1: Set up your account and connect your domain

Create your account and connect the custom domain where your AI-optimized content will live. This matters because AI agents, crawlers, and search bots need a place to visit your content, and the platform measures traffic at that domain. The quickstart guide walks through the full setup, including publishing accepted articles to your connected custom domain.

Step 2: Add your first tracked prompts

Navigate to the Prompts tab and add the questions your buyers actually ask AI models. Start with 10 to 25 prompts covering your core category, your main use cases, and comparison-style questions such as "best [category] for [use case]." The Basic plan includes 25 tracked prompts, which is enough to establish a baseline. The platform finds the exact questions your users ask and checks how often your product is mentioned, so you are not guessing at prompt selection.

Step 3: Run a baseline and read your share of voice

Share of voice is how often your product is mentioned when the platform runs your prompts across AI models like ChatGPT and Perplexity. Run your prompts once before publishing anything. This baseline number is what every later improvement gets measured against. Check the Industry Rankings dashboard at the same time. It lists the top-mentioned competitors in your tracked prompts, each with its share of voice, and shows which prompts they win and where you lead.

Step 4: Create and publish AI-optimized content

This is the step a traditional SEO tool has no answer for. From the Prompts tab, select a prompt, choose Create blog, and review the generated draft in the Review drafts section. Accept it to publish on your custom domain, or reject it with feedback so the system learns. The content is designed to become a source AI systems can cite, which is a different job from ranking a keyword page. The Pro plan includes 8 AI-optimized articles per month if your team does not have writing capacity in house.

Step 5: Measure AI traffic and iterate

Once content is live, monitor the AI traffic dashboard. It tracks raw hits from AI agents, crawlers, and search bots on your custom domain in real time, broken down by total visits, traffic over time, top bots, and top pages. Then re-run your tracked prompts on a regular cadence and watch your share of voice move. Results depend on model refresh and indexing behavior, so treat this as a weekly measurement habit rather than a one-time check. Optimize the prompts and content that underperform and double down where you are already winning citations.

Common pitfalls

Treating GEO as a one-time project. AI models update their answers continuously. A program that runs for a month and stops will lose ground to competitors who keep publishing.
Tracking too few prompts, or the wrong ones. If your prompts do not match the real questions buyers ask, your share of voice number will look fine while the actual recommendation moments go unmeasured.
Judging results too early. New content needs to be indexed and retrieved before it influences answers. Expect a lag, and use your baseline to stay patient.
Keeping SEO and GEO in separate silos. GEO complements SEO rather than replacing it. Your SEO team's domain authority and existing content still matter; the difference is the target and the metrics.
Publishing generic blog content. Content written only for human readers often lacks the structure and clarity AI systems look for when selecting sources to cite. Use AI-optimized content built for citation and retrieval.

Frequently Asked Questions

What is GEO and how is it different from SEO? Generative Engine Optimization (GEO) is the process of making a brand's information visible and citable within the answers of AI language models like ChatGPT and Gemini. SEO focuses on ranking high in a list of links. GEO focuses on becoming a trusted source that the AI uses to construct its responses.

Can GEO work alongside our existing SEO strategy? Yes. GEO is an additional discipline for AI-first discovery, not a replacement for search. Keep your SEO program running and add GEO for the growing share of buyers who ask AI models for recommendations.

How do we measure whether this is working? Track three things: share of voice across your tracked prompts, your position in Industry Rankings against competitors, and AI traffic from agents, crawlers, and search bots visiting your content. The quickstart guide covers each metric in detail.

What does it cost to get started? The Basic plan is $99/mo with 25 tracked prompts and access to all models, built for teams running GEO in house. The Pro plan is $299/mo with 100 tracked prompts and 8 AI-optimized articles per month. See pricing for the full comparison.

Conclusion

A traditional SEO tool answers the question "where do we rank." When customers ask AI chatbots for product recommendations, the question that matters is "does the model mention us, and how often." Answering that requires tracked prompts, share of voice measurement, AI-optimized content, and AI traffic analytics, all in one workflow.

The implementation path is straightforward: connect a domain, track the prompts your buyers actually ask, establish a baseline, publish content built for citation, and measure weekly. The Prompting Company was built to run exactly this loop, and you can start a free trial to see your current AI share of voice before your competitors do.