Google AIO Optimization: Free Toolkit to Get Your Site Mentioned in AI Answers

TL;DR

Google’s AI Overviews now answer searches directly at the top of results. If your site isn’t mentioned there, you’re invisible to a growing number of users. I built a free Google AIO Toolkit that lets you track mentions, generate optimized queries, and audit your pages for AI readiness. Download it, run it locally, and start optimizing your content for AI search today.

Be honest with yourself for a second.

When you Google something now, do you actually scroll through the results?

Or do you just read the AI answer at the top and move on?

If your website, product, or content isn’t mentioned in that AI answer, you basically don’t exist for a lot of people.

And “don’t exist” means: even if you have the best product or content, your business will struggle to grow.

Today, we fix that.

I built a free Google AIO Toolkit that helps you track and optimize your pages for AI Optimization. You can download it and run it locally on your own computer.

Let me show you how it works.

What Changed in Google Search?

Before 2024, the game was: Write content, build links, pray for SEO to work, and hope to rank on page one.

SEO isn’t dead. I still get significant traffic from organic search after doing this for years.

But now there’s something new. Google displays an AI-generated answer right at the top of many searches. That answer mentions tools, brands, products, guides, and blogs.

So the new game becomes: how do I get mentioned inside those AI answers? And how do I measure if it’s working?

The Problem: Manual Tracking Doesn’t Scale

et’s say I want to check if my site “wpbuiderschool.com” gets mentioned when someone searches “best course on building saas on wordpress” on Google.

I open Google, type the query, and look at the AI Overview box. Maybe my site is there, maybe it isn’t.

Cool. But now multiply that by 50 queries. Or 200. Or track it weekly to see changes over time.

That’s impossible to do manually.

Now the big question, and I believe this is one of the most important ideas you’ll learn today:

How do we automate this process for hundreds of queries?

The Building Block: ScrapingDog API

To automate tracking, we need a way to read Google AI results programmatically.

I found ScrapingDog, an API service with multiple functions.

What got me excited was their Google AI search endpoint. It returns AI Overview results as structured data you can work with.

They offer 1,000 free credits to test without any commitment, which is more than enough to get started.

Here’s why this matters: if you can fetch AI results as data, you can build tracking systems, comparison tools, historical records, and even alert systems.

I used this API to automate the entire tracking process. And that’s how the Google AIO Toolkit was born.

For context, similar tracking services charge between $80 to $100 per month. This toolkit gives you the same capability, running on your own machine.

What’s Inside the Google AIO Toolkit?

The toolkit includes four main components:

1. Keyword & Mention Tracker: Track whether your site gets mentioned in Google AI results for specific queries
2. Query Generator: Automatically generate search queries people might use to find your content
3. AIO Auditor: Analyze any page and get actionable recommendations for AI optimization
4. AIO Checklist: A complete reference guide for what matters to AI ranking

Let me walk you through each one.

Tool 1: The Keyword & Mention Tracker

This is where it all comes together.

Instead of checking Google manually, you add your queries to the toolkit, specify the keywords you want to monitor (your brand, your competitor, any term), click run, and it tracks everything automatically.

Want to track 100 queries weekly? Done.

Want to compare your mentions against a competitor? Easy.

Want to see historical trends? The data is yours.

Tool 2: The Query Generator

The next question becomes: what queries should you actually track?

You need to know what people search when looking for content like yours.

The Query Generator Tool solves this. You paste any URL, click generate, and it creates suggested search queries for that page.

Here’s what happens behind the scenes. The toolkit uses ScrapingDog to fetch your page content in an AI-friendly format.

Then it passes that content to an AI model using SimplerLLM, my open-source Python library that simplifies working with multiple AI providers like OpenAI, Anthropic, and others.

The AI analyzes your content and generates queries people might actually search to find it. You then select which ones you want to track.

Tool 3: The AIO Auditor

This is the most important part. Tracking mentions is useful, but optimizing your content to actually get mentioned is where the real value lives.

The AIO Auditor analyzes any page and checks for what matters to AI systems.

Here’s what it looks for:

• FAQ sections that directly answer questions
• TL;DR summaries or direct answers near the top
• JSON-LD structured data (schema markup)
• Headings that match search intent using question-style H2 and H3 tags
• Descriptive image alt text
• Internal linking and topic coverage
• Clarity about what the page covers and who it’s for

The toolkit shows you exactly what’s missing and what to improve. No guessing required.

The AIO Checklist

Beyond the automated tools, the toolkit includes a complete AIO optimization checklist. This gives you a reference for all the factors that influence whether AI systems mention your content.

Use it as a manual review guide when the auditor flags issues, or as a learning resource to understand what AI looks for.

Why Building Blocks Matter More Than Code

Here’s a bigger point worth understanding.

Building products today isn’t about memorizing syntax or writing code from scratch. AI can write code. I’ve built over 100 tools and products over the past 10 years working online, and the game has completely changed.

The real advantage is knowing the building blocks.

The data source, the pipeline, the logic, the APIs…

When you understand these components, you can tell AI exactly what to build.

ScrapingDog is one core building block. SimplerLLM is another for AI integration. The toolkit combines them into something useful.

If you enjoy building tools like this, or want to turn similar ideas into a micro-SaaS business, check out SoloBuilderSchool.com.

It’s a 30-day program where we go from idea to launched product with real projects, templates, and a clear roadmap.

How to Run the Toolkit Locally

Setting up the toolkit takes about five minutes.

Step 1: Download the toolkit files from the link below.

Step 2: Open the project folder in VS Code or your preferred editor.

Step 3: Make sure Python is installed on your system.

Step 4: Create a virtual environment and install the requirements.

python -m venv venv

venv/scripts/activate

Step 5: Add your API keys for ScrapingDog and OpenAI in the .env file

Step 6: Create a user, and run the project and start tracking.

python manage.py createsuperuser

python manage.py runserver

You can use the toolkit exactly as provided, extend it with additional features, or even build it into a paid product if you want.

Frequently Asked Questions

How do I check if my website appears in Google AI Overviews?

You can manually search queries related to your content and look for mentions in the AI box. For systematic tracking across many queries, use a tool like the Google AIO Toolkit that automates this process using APIs.

What factors help content rank in Google AI answers?

AI systems favor content with clear direct answers, FAQ sections, proper schema markup, question-style headings, descriptive image alt text, and strong topical authority. The AIO Auditor in the toolkit checks for all these factors.

Is SEO still important if Google shows AI answers?

Yes. Traditional SEO still drives significant traffic, and strong SEO signals likely influence which sources AI systems cite. Think of AIO optimization as an additional layer on top of existing SEO practices, not a replacement.

How much does it cost to track Google AI mentions?

Commercial tools charge $80 to $100 monthly for similar tracking. The Google AIO Toolkit is free and runs locally. You only pay for API usage, and ScrapingDog offers 1,000 free credits to start.

What’s Next?

Google AI Overviews are just one AI system. For maximum exposure and traffic, you should also optimize for other AI platforms like ChatGPT, Perplexity, and others.

Each has different ranking factors and optimization strategies.

Download the toolkit, start tracking your current AI visibility, and begin optimizing your most important pages. The sites that adapt early will capture traffic that others miss entirely.