Notes from the Helix team
Practical notes on AI GTM operations, audits, signals, and content systems. We run Helix on Helix first - what works ends up here.
Monday.com published a practical guide on measuring AI impact. Here is what actually works when you run AI lead gen for real clients.
Read the noteHubSpot's latest guide breaks down which automation tools drive real pipeline. Here's what works for SMBs running lean GTM stacks.
Your Google rankings don't guarantee AI citations. Here's what actually gets you mentioned when prospects ask ChatGPT and Claude about solutions in your space.
Blaze builds your brand voice from content you already made and applies it across every channel. Here's how SMBs can stop sounding like a robot.
LinkedIn now lets you set brand rules for AI-generated ads. Here's how SMBs should configure Brand Kit before running their next campaign.
Claude Skills help AI content sound more on-brand, but they cannot enforce voice across a growing team. Here is how SMBs actually manage brand consistency with AI.
Your AI share of voice percentage needs context. A low number could be exactly right for your market position.
Most SMBs measure AI lead gen wrong. The real ROI comes from embedding AI SDR agents into your site to qualify visitors who are already interested, not from spraying more outbound messages.
Most SMBs should start with an AI consultant engagement before committing to ongoing fractional support. Here's how to decide which path fits your stage.
Six months in, your AI content library sounds nothing like you. Here is how to fix that before it gets worse.
Brafton's research shows that marketers who add context and constraints to prompts get better output and spend less time editing. Here's what that looks like in practice.
Using AI as your company voice compromises your strongest leverage. Here is how SMBs can avoid ai brand trust risks and keep automation from ruining their reputation.