Help center

How can we help?

Find answers, tutorials, and best practices for getting the most out of LLM Glow.

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Our team replies within 4 business hours. Pro & Scale plans get priority support.

Getting started

How to add your first brand

Setting up your first brand takes about 3 minutes. Open Workspace → General → Add brand and you'll be guided through 5 steps.

1. Brand basics

Add your brand name exactly as customers write it. The domain (e.g. loopstack.io) is used for linked-mention detection. Aliases matter most for brands with informal spellings or handles — add as many variants as you can think of.

2. Description

Write 2-3 sentences about what you do. This is used to power AI phrase suggestions in step 3. The more specific, the better the suggestions.

3. Competitors

Add up to 6 competitors manually, or let AI suggest based on your description. You can adjust the list anytime from Competitors in the sidebar.

Phrases & queries

What makes a good phrase?

Good phrases match how real buyers ask LLMs questions. We classify them into 5 types:

  • Branded — "is Loopstack any good?" — high intent, easy wins
  • Comparison — "Linear vs Loopstack" — most valuable for competitive positioning
  • Category — "best PM tool for design teams" — hardest to win, biggest reach
  • Feature — "PM with Figma integration" — narrow but high-converting
  • Use case — "how to manage cross-team sprints" — top of funnel

Aim for a mix. Most teams start with 25 phrases and grow to 100-200 within 3 months.

Reports & scoring

Understanding the visibility score

The visibility score is a single 0-100 number summarizing how AI assistants talk about your brand.

What goes in

  • Presence (40%) — did your brand appear in the answer?
  • Rank (25%) — what position were you mentioned at?
  • Sentiment (20%) — positive, neutral, or negative tone?
  • Share of voice (15%) — how much of the answer was about you vs. competitors?

We show 7-day rolling averages by default because LLM responses drift even at temperature=0. Raw daily scores are available in the trends view.

Integrations

Setting up Slack notifications

Go to Workspace → Notifications → Channels → Slack and click "Connect Slack workspace". You'll be redirected to Slack to grant chat:write permission.

After connecting, pick a channel and configure which events fire there from the notification matrix. We recommend starting with the "Just the important stuff" preset.

Integrations

Webhook signing & verification

Every webhook is signed with X-Glow-Signature: t=<timestamp>,v1=<hex-hmac>. Verify by computing HMAC-SHA256 over <timestamp>.<raw-body> with your signing secret.

Node.js example

const crypto = require('crypto');
const sig = req.headers['x-glow-signature'];
const [t, v1] = sig.split(',').map(s => s.split('=')[1]);
const expected = crypto.createHmac('sha256', SECRET)
  .update(t + '.' + req.rawBody).digest('hex');
if (expected !== v1) return res.status(401).send();

Reject signatures older than 5 minutes to prevent replay attacks.

Integrations

Difference between Notifications and Webhooks

Notifications go to people. Pretty-formatted alerts in Slack, email, or the in-app bell. Configured by marketers.

Webhooks go to systems. Signed JSON POSTs to your backend, Zapier, or n8n. Configured by developers.

Both can fire on the same events — the choice is who you want to reach.

Billing & plans

How the 30-day money-back guarantee works

If you're not satisfied within 30 days of your first paid subscription, email billing@llmglow.com and we'll refund you in full.

The guarantee applies to first-time subscriptions only, once per customer. Refunds are processed within 5 business days to your original payment method.

Security & privacy

Do you train on customer data?

No. Your prompts and brand data are never used to train, fine-tune, or improve any AI model — ours or a third party's.

Technically: we use LLM provider endpoints contractually committed to no-training (OpenAI Enterprise zero-data-retention, Anthropic API, Google Vertex with data-residency). Where supported, we pass X-No-Training hints in headers.

This is also in our Privacy Policy section 4.