BrandGEO

Blog

AI brand visibility insights, strategies, and product updates.

72 posts page 1 of 6

Your AI Visibility Data, Now an API: BrandGEO API v1 and the Official Laravel Client

Visibility data is only useful where decisions happen. For some teams that's the BrandGEO dashboard. For others it's a BI tool, a client report generated on a schedule, or an internal admin panel that already tracks every other marketing number. API v1 opens the platform for that second group: every brand, audit, monitor, snapshot, and trend in your account, available over REST with a bearer key. This post covers the business case, the full endpoint tour, and the official Laravel client that wraps it all in typed PHP.

Put BrandGEO Inside Your Laravel Nova Admin

Most teams that run Laravel Nova live in it. It's where they check orders, users, content, and every number that matters day to day. AI visibility data shouldn't require leaving that room. Our new package, a2zwebltd/brandgeo-laravel-nova, adds a BrandGEO section to your Nova menu: monitoring KPIs, visibility trends, share of voice, competitor tables, citation sources, and full audit drill-downs, all fetched live from the BrandGEO API with your key. Here's what it looks like and how to install it in about five minutes.

AI Visibility SEO

Why ChatGPT Searches "Reddit" — and How AI Brand Monitoring Shows What It Finds

When you ask ChatGPT which tool to buy, it often doesn't answer from memory. It runs a live web search — and a surprising share of those searches end in the word "reddit." The model isn't crawling reddit.com. It's reading whatever Google returns for that query, forming an opinion, and repeating it to your buyer as fact. This post explains why the "reddit" search pattern exists, what it does to the way AI describes your brand, and how continuous AI brand monitoring lets you see the answer your customers are actually getting.

SEO Tutorials

How to Win the "Reddit" Searches AI Runs — Without Ever Posting on Reddit

There are two ways to influence the reddit-flavored searches that AI models run before they recommend a brand. The first is to earn genuine presence on Reddit itself — slow, community-driven, measured in quarters. The second is far less discussed: build your own pages that rank for the "[query] reddit" searches, so your content lands in the model's source set alongside the threads. This post is about the second lever — how to do it well, where the ethical line sits, and how AI brand monitoring tells you which queries to target and whether you're winning them.