Trevor Fox

Introducing ChatGPT Entities: The Hidden Structured Data Powering AI Search

I first noticed an interesting ChatGPT feature while demoing my ChatGPT Search Insights tool for Jeremy Galante, who leads SEO at ClickUp, during the Ahrefs Evolve conference a few weeks ago. We were looking into a strategy that he was just rolling out, and we saw this. He said, “Can you screenshot that for me?”  […]

Introducing ChatGPT Entities: The Hidden Structured Data Powering AI Search Read More »

ChatGPT Hints and Modes: Exploring the Growth Opportunities Behind Them

One of my favorite ways to identify or scale up growth tactics is to reverse engineer the platforms that direct people’s attention and shape their perception. ChatGPT, like Google, Facebook, and LinkedIn before it presents the biggest opportunity today—both in terms of overall growth expectations and leverage. (It’s early!) ChatGPT has several interesting components that,

ChatGPT Hints and Modes: Exploring the Growth Opportunities Behind Them Read More »

SEO SQL Pattern #3: Grouping and filtering URLs for content analysis

The final two SQL patterns posts focus on the core components of search: content and keywords. Today we’ll analyze how content (URLs) attracts traffic from search, and we’ll wrap up the series by analyzing how users search for that content. The URL dimension is perhaps the most important dimension in SEO because it represents the

SEO SQL Pattern #3: Grouping and filtering URLs for content analysis Read More »

Attio Analytics Tooling: My Search for a Lightweight, Flexible GTM Analytics Stack

A couple of weeks ago, while building out a scoring and segmentation model for a client, I arrived at a situation that Attio’s built-in reporting was not capable of handling. I explored a few options for analyzing prospect data (People and Companies) with varying degrees of success. I wrote this post to help you think

Attio Analytics Tooling: My Search for a Lightweight, Flexible GTM Analytics Stack Read More »

SEO SQL Pattern #2: Analyzing performance over time

The time dimension is often overlooked in digital analytics. We take it for granted because the whole point of digital marketing is to grow—traffic, customers, and revenue—over time. Performance is inherently a factor of time! This post follows from the post on Pattern #1, which is all about ranking data and does not take time

SEO SQL Pattern #2: Analyzing performance over time Read More »

Charting a CTR Curve with BigQuery

SEO SQL Pattern #1: Aggregating Position Metrics and CTR Curves

Google Search Console only provides a few metrics: impressions, clicks, CTR, and average position. The first three are easy to understand, but the average position can trip up even the savviest analyst if they’re not careful. That’s why I started this series on SQL Patterns for SEO with a (perhaps overly) thorough explanation of how

SEO SQL Pattern #1: Aggregating Position Metrics and CTR Curves Read More »

Gen AI Classification

Using ChatGPT in Google Sheets for Classification (custom function included)

Classification is the generative AI-based pattern I use most frequently. Why? Three reasons: It’s perfect for tackling big tasks where 80% accuracy on 100% of cases is better than 100% accuracy on just 20%. This week alone, I’ve used classification to: Since Google Sheets is one of my go-to tools for small/quick data problems, I

Using ChatGPT in Google Sheets for Classification (custom function included) Read More »

Google Search Console Monthly Performance Emails in SQL Tutorial

At the beginning of every month, Google Search Console sends out its Monthly Search Performance email to site owners. Each month I receive this email, I’m reminded of two things: 1) My site’s performance doesn’t really change much, and 2) These statistics are a great way to demonstrate how to write SQL for the Google

Google Search Console Monthly Performance Emails in SQL Tutorial Read More »

Longtail Query Analysis in BigQuery using Levenshtein Distance

A few days ago, Cyrus Shepard posted an example about using Levenshtein distance to compute the similarity or dissimilarity (aka the edit distance) between two strings. His example showed how to apply Levenshtein distance in Google Sheets in the context of written content, but it inspired me to demonstrate another common application: query similarity.  Since

Longtail Query Analysis in BigQuery using Levenshtein Distance Read More »