As AI assistants increasingly influence how consumers and businesses discover products and services, SEO consultant Kyle Eggleston has launched kyles.tools, a platform designed to help small businesses monitor their visibility across AI-powered search experiences. The new suite offers AI search tracking, competitive intelligence, and SEO utilities aimed at organizations that lack access to enterprise-grade marketing technology platforms.

The rapid rise of generative AI is reshaping digital discovery, forcing marketers to rethink how they measure online visibility. While traditional search engine optimization (SEO) has long focused on rankings within search engine results pages, AI-powered platforms are increasingly answering users' questions directly—often without displaying conventional search results.

Responding to this shift, Chicago-based SEO consultant Kyle Eggleston, founder of Digital Marketing Solutions, LLC, has introduced kyles.tools, a collection of AI search visibility and SEO tools designed specifically for small businesses, independent professionals, and lean marketing teams.

The platform addresses an emerging challenge for marketers: understanding whether brands appear in responses generated by AI assistants such as ChatGPT, Google Gemini, Google AI Overviews, Perplexity AI, and Claude. As consumers increasingly ask AI platforms for recommendations instead of browsing lists of search results, businesses need new ways to measure their digital presence.

Unlike traditional SEO platforms that primarily monitor keyword rankings, kyles.tools focuses on Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO)—two disciplines that have gained momentum alongside the adoption of large language models (LLMs). These approaches emphasize optimizing content and digital entities so AI systems can accurately retrieve, understand, and recommend brands within conversational search experiences.

At the core of the platform is an AI Prompt Tracker, which enables businesses to monitor how leading AI models respond to real-world customer questions. Users can define prompts relevant to their industries, such as service recommendations or software comparisons, and evaluate whether their business is mentioned, how competitors are positioned, and which websites AI platforms cite as supporting sources.

This citation analysis represents an increasingly valuable capability for marketers. AI-generated responses frequently reference authoritative publications, review platforms, business directories, and trusted industry resources when constructing answers. Understanding these citation patterns can help organizations strengthen their content strategies and improve their visibility across AI-powered search environments.

Beyond prompt monitoring, the platform includes competitive research tools, AI visibility tracking, SEO utilities, automated alerts, and an action-planning feature that converts performance data into prioritized recommendations. Rather than simply presenting analytics dashboards, the platform aims to help users interpret AI search data and identify practical optimization opportunities.

The launch reflects a broader evolution occurring across the search industry. Enterprise organizations have begun investing heavily in AI visibility platforms capable of monitoring brand presence across conversational AI systems. However, many of these enterprise-grade solutions remain financially out of reach for small and medium-sized businesses.

Eggleston's platform seeks to narrow that gap by making AI search analytics more accessible to organizations with limited marketing budgets. As AI-generated recommendations increasingly influence purchasing decisions, visibility within conversational search environments is becoming an important performance metric alongside conventional SEO rankings.

The platform also supports multiple business scenarios, including local service providers monitoring AI recommendations for location-based searches, professional services firms evaluating high-intent client acquisition queries, software vendors tracking competitive product comparisons, retailers analyzing product recommendations, and franchise organizations comparing AI visibility across multiple markets.

In addition to the public software suite, Eggleston announced a custom development service through Digital Marketing Solutions that focuses on building AI-native tools tailored to enterprise workflows. These include customized AI visibility dashboards, reporting automation, API integrations, and proprietary analytics systems designed around specific business requirements.

The announcement highlights a growing trend within digital marketing as organizations begin measuring AI share of voice alongside traditional search visibility. Rather than asking only where a website ranks on a search engine results page, marketers are increasingly asking whether AI assistants recommend their brand—and if not, why.

According to Gartner, generative AI is expected to significantly reshape digital customer engagement and information discovery over the coming years, requiring organizations to adapt their search and content strategies. McKinsey & Company also identifies generative AI as a major driver of productivity and digital transformation, with the technology expected to create trillions of dollars in annual economic value across industries.

For enterprise marketing teams, this transition reinforces the importance of structured data, entity optimization, authoritative content, and trusted digital signals. AI platforms rely on semantic understanding rather than keyword matching alone, making content quality, contextual relevance, and source credibility increasingly important components of search visibility.

As conversational AI becomes a primary channel for product research and purchasing decisions, platforms like kyles.tools illustrate how SEO is evolving into a broader discipline centered on AI discoverability. The launch signals that AI visibility analytics—once largely confined to enterprise software—are beginning to reach smaller organizations seeking to compete in an increasingly AI-driven search landscape.

Market Landscape

The search industry is rapidly transitioning from keyword-based rankings to AI-generated answers, creating new opportunities and challenges for marketers. As platforms such as ChatGPT, Google Gemini, Perplexity, Claude, and AI Overviews become more prominent, organizations are investing in Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) to improve AI discoverability.

According to Gartner, generative AI is transforming digital customer experiences and enterprise search strategies. McKinsey & Company estimates that generative AI could contribute between $2.6 trillion and $4.4 trillion in annual economic value, reinforcing the importance of AI-ready content, structured data, and entity-based optimization for businesses of all sizes.

Top Insights

• Kyle Eggleston launched kyles.tools, an AI search visibility platform designed to help small businesses monitor brand presence across leading generative AI systems.
• The platform's AI Prompt Tracker enables organizations to analyze how ChatGPT, Gemini, Claude, Perplexity, and other AI assistants recommend brands and cite information sources.
• The launch reflects the growing importance of Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) as AI increasingly influences purchasing decisions.
• Additional capabilities include competitive intelligence, AI visibility alerts, SEO utilities, and AI-generated action plans for improving digital discoverability.
• Custom AI-native development services extend the platform to enterprises requiring tailored dashboards, automated reporting, and workflow integrations.

Get in touch with our MarTech Experts