Reading your first AI visibility briefing

The first time you open a LetsGetSurfaced briefing, it's tempting to jump straight to the module with the most alarming-looking number. Don't. The briefing is built to be read in a specific order, and reading it that way is the difference between an hour of interpretation and five minutes of "here's what to do."

Start with the Briefing itself

The Briefing module is deliberately the homepage of the product, not a summary tacked on at the end. It's what changed this week, why it matters, and the priority actions to take next, before a single chart. Everything else in the product feeds into this page; it's not a separate report you also have to read.

If you only have five minutes, this is the five minutes.

Then check AI visibility

This is your mention rate across Claude, ChatGPT, Gemini and Perplexity, broken down query by query. For each query tested, you'll see whether you were mentioned, what the model actually said about you, and, when you weren't mentioned, who got recommended instead.

The useful habit here isn't to watch the aggregate number go up or down. It's to look at the specific queries where you lost a mention and ask why, in the model's own words. That's usually a more direct signal than any score.

Competitors: how you actually stack up

Once you know you're losing a mention on a specific query, the Competitors module is where you see the full picture: a mention-rate leaderboard against every competitor you're tracking, and a query-by-query table showing exactly who won each one and by how much. It's a scoreboard, not a diagnosis: it tells you precisely where you're behind and how that's trending week over week, which is usually enough on its own to tell you where to focus next.

SEO health: the technical foundation underneath all of it

AI visibility and traditional SEO aren't separate problems: a page an AI model can't parse cleanly is usually a page a search engine struggles with too. SEO health runs a full technical crawl and flags issues by severity: broken links, redirect chains, duplicate meta descriptions, orphan pages. The point isn't to clear every item on the list; it's to fix the handful flagged as high-severity first, because those are the ones actually costing visibility.

Copy QA and Schema: the two modules people underrate

These two get skipped most often, usually because they feel like maintenance rather than strategy. They're not.

Copy QA scores every page for AI-answer readiness automatically (meta tags, structure, readability, general GEO readiness) with issues flagged by severity and a specific recommendation for each one. It's the module that keeps content quality consistent without someone manually re-reading every published page.

Schema flags missing structured data by page type and generates ready-to-paste JSON-LD for you. Structured data is one of the more direct ways to help AI models and search engines correctly understand what a page is actually about, and it's exactly the kind of technical task that's easy to agree matters and easy to never get around to. Having it pre-generated removes the excuse.

The one habit worth building

Read the Briefing first, every week, before anything else. Then follow it into whichever module it points you toward. The modules are built to stand on their own if you need to dig into one specifically, but they all exist to feed that one page, so if you find yourself module-hopping trying to piece together "what should I actually do today," that's a sign to start back at the Briefing next time instead.