What Is LLMs.txt—and Do You Really Need It?
If you’re keeping up with the future of search and discovery, you’ve probably heard whispers about a new file: llms.txt. It’s being pitched as the robots.txt for the generative era—a way to manage how large language models (LLMs) access your content But before you rush to create one, it’s worth understanding:What is llms.txt, and does your site […]
Optimizing Your Robots.txt for Generative AI Crawlers
Introduction As the digital landscape evolves, generative AI models are increasingly shaping how users discover and interact with online content. These AI systems, developed by organizations such as OpenAI, Google, and Anthropic, rely on web crawlers to gather data for training and improving their responses. For website owners aiming to enhance their visibility within AI-generated […]
Audit Content with an AI Perspective
Now, examine your actual content inventory and how it might be perceived or used by generative models: Performing this content audit from an AI perspective will highlight which pages to focus on and how to enhance them. You might discover, for example, that you have a fantastic guide buried in your site that hasn’t gained […]
Audit Your Entity and Brand Signals
Generative AI doesn’t just look at individual pages; it builds a picture of entities – like your brand, your products, your people. Ensuring that picture is accurate and strong is a crucial part of GEO. Conduct an audit of your Entity presence: Compile the findings of your Entity audit. For example, you might note: “No Wikipedia page – need to consider […]
Evaluate Technical Accessibility and Indexing
Before you start making changes and creating new content, it’s important to audit where you currently stand. This GEO-focused audit will reveal strengths to build on and gaps to address. We will examine your content, technical setup, and brand signals through the eyes of generative AI: Can AI find your content easily? Does it understand who […]
Continuous Monitoring Practices for GEO
Establish a routine to monitor and tweak: Iterative Improvement and Adaptation Use the insights from monitoring to iterate: Finally, be patient and persistent. GEO is a new field, and results may sometimes be fuzzy to measure. But by keeping at it, you’ll accumulate advantages that competitors who ignore generative search will lack. Celebrate qualitative wins as […]
Key Metrics and KPIs to Track
Just as SEO has KPIs (rankings, organic traffic, etc.), GEO will develop its own performance indicators. Some metrics to consider tracking over time include: User Feedback: If you have means, gather qualitative feedback. For example, ask new customers how they heard about you. Some might now say “ChatGPT recommended you” or “I saw you in a […]
Addressing Attribution Challenges
Attribution in the era of generative AI search is tricky, but not impossible. Some strategies to cope with the challenges include: In summary, start your GEO journey by establishing how you’ll measure success. Set up analytics to catch AI-driven traffic, use tools to monitor AI visibility, and be creative in attributing the influence of generative […]
Implement Analytics for AI-Driven Traffic
Begin by updating your web analytics configurations to recognize traffic from known AI sources: By combining GA4 data, log analysis, search engine consoles, and specialized tracking tools, you’ll establish a baseline of your current visibility in generative engines. This framework lets you attribute value to being cited even when you don’t get clicks, which is […]
Understanding New Visibility Metrics in AI Search & GEO
Generative engines don’t simply list 10 blue links; they produce a synthesized answer with inline citations or references. As a result, visibility is multi-dimensional. Key aspects to consider include: By redefining what an “impression” and “engagement” mean in the AI context, you’ll be better equipped to measure GEO efforts. Next, we’ll explore how to gather this data.