AI visibility: how to know if LLMs are talking about you

The acquisition channel you're not watching

You track your Google traffic. You measure your LinkedIn impressions. You analyze your engagement on X. But do you know what ChatGPT says when someone asks "what's the best [your category] tool"?

Most brands don't. And that's a problem. Because millions of people use LLMs to look for recommendations, compare solutions, and make buying decisions. If an LLM recommends your competitor and not you, you lose customers without even knowing it.

AI visibility isn't a futuristic concept. It's an acquisition channel that exists now, grows every month, and that you're probably ignoring.

What "AI visibility" means

AI visibility measures how and how often your brand appears in answers generated by LLMs. It breaks down into four dimensions.

• Presence. Is your brand mentioned when a user asks a question related to your market? On how many prompts are you cited? On how many LLMs?

• Position. When your brand is mentioned, is it the first recommendation or the last on the list? Position 1 captures most of the attention, just like on Google.

• Sentiment. Does the LLM talk about you positively ("excellent solution," "highly recommended") or negatively ("limited," "reported issues")? The tone of the mention directly shapes the prospect's perception.

• Context. Are you actively recommended ("I recommend X for this use case"), just cited in passing ("among the options, there's X"), or compared unfavorably to a competitor ("X is fine but Y is better")?

The manual method: test it yourself

The simplest way to start is to test it yourself. Open ChatGPT, Claude and Gemini. Ask the 10 questions your prospects ask most often. Note whether your brand appears, in what position, with what sentiment, and which competitors are cited.

It's free and takes 30 minutes. The catch: it's a one-off snapshot. LLM answers change regularly (data updates, algorithm changes, fresh content indexed). What you see today may change in a week.

On top of that, answers vary with how the prompt is phrased. "Best AI visibility tool" and "what tool should I use to appear in ChatGPT answers" are two different prompts that can return different results.

The 5 warning signs to watch

1. You're absent on a major LLM

If ChatGPT never mentions you but Claude does, you have a gap in your coverage. Each LLM has its own sources and its own recommendation logic. Being absent on a major LLM means losing visibility with its audience.

2. Your competitor is always ahead of you

If, on every relevant prompt, the same competitor shows up in position 1 and you in position 3 (or absent), there's a visibility gap to close. Identify what that competitor does differently: more content, more third-party mentions, better structure.

3. The sentiment is negative

Being cited isn't always positive. If an LLM says "X is an option but has limits when it comes to scalability," that's worse than not being mentioned. Negative sentiment actively pushes prospects away.

4. You only appear on generic prompts

If you're cited when someone asks "list of [category] tools" but absent when they ask "best tool for [specific use case]," your positioning is too vague. LLMs don't know when to recommend you.

5. Your visibility drops from one week to the next

LLMs update their data and their answers regularly. If your visibility score drops, it's because either a competitor produced more relevant content, or your existing content is going stale.

What you can do when you're invisible

Create content targeting the prompts where you're absent

If you don't appear on "best [X] tool for startups," create a complete article that answers exactly that question. Structure it with lists, comparisons, and concrete data.

Strengthen your presence on the sources LLMs consult

Reddit, review sites (G2, Capterra), specialized press articles, technical documentation. The more your brand is mentioned positively on these sources, the more LLMs pick it up in their answers.

Publish on social media with clear positioning

A LinkedIn post that clearly states your positioning ("X is the AI visibility tool for [your niche]") helps anchor that positioning in the sources LLMs index.

Update your existing content

An outdated blog post can drag your AI visibility down. Update your data, add recent examples, and republish.

Why regular measurement is essential

AI visibility isn't a static score. It shifts every week based on the content published (by you and your competitors), LLM updates, the arrival of new competitors, and market trends.

Measuring once isn't enough. You need to track your visibility over time to:

• Catch drops before they become problems

• Spot opportunities when a competitor loses ground

• Measure the impact of your content efforts

• Prove the ROI of your GEO strategy

How Shiiift automates all of this

Shiiift automatically scans 6 LLMs (ChatGPT, Claude, Gemini, Perplexity, DeepSeek, Grok) on your market's prompts. Every week, you get an overall visibility score with a breakdown by LLM, your position against each competitor, the detected sentiment (positive, neutral, negative), and your AI CMO's recommendations to close the gaps.

You no longer need to test each LLM by hand. Your CMO does it for you and produces the content needed to improve your score.

Take action

You don't yet know what LLMs say about your brand. That's normal, nobody was doing this a year ago. But your competitors are starting to pay attention. Run your first audit in 30 seconds and get ahead.