For the last two decades, brands obsessed over one question: “Where do we rank on Google?“
But the search landscape has quietly changed. Millions of people now ask ChatGPT, Gemini, Perplexity, and other AI tools questions they used to type into a search bar “best Geo company for startups,” “top Geo company in italy,” “which project management tool should I use.” These AI engines don’t return ten blue links. They return one confident answer, often naming two or three brands by name.
Which raises a much scarier question for marketers in 2026:
Is your brand even in that answer or has AI quietly decided you don’t exist?
This is exactly the blind spot that Answer Engine Insights is built to solve.
The problem: you can’t see what AI is saying about you
Traditional analytics tools tell you how people find your website through search engines. But none of them tell you:
- What ChatGPT says when someone asks about your industry
- Whether Gemini even knows your brand exists
- How your competitors are being described in the same AI answers
- Which AI platforms mention you and which ones ignore you completely
Without this visibility, brands are flying blind on one of the fastest-growing discovery channels in the world. You could be investing heavily in SEO while remaining completely invisible to the millions of people who now research decisions through AI conversations instead of search results.
What Answer engine insights actually shows you
Inside the Lunocode dashboard, Answer Engine Insights gives you a direct window into how AI platforms are talking about your brand pulled from real prompt responses, not guesswork.
Here’s a look at the kind of visibility snapshot you get right from the main dashboard:
The Lunocode dashboard showing visibility score, share of voice, total citations, and platforms tracked for a live domain.
Clicking into the dedicated Answer Engine Insights page gives you a much deeper breakdown. You can filter by platform, choose a time window, and export the data with the same four core metrics front and center: visibility score, share of voice, total citations, and platforms tracked.
The Answer Engine Insights page, with tabs for Overview, Clusters, Citations, Insights, Competitors, and Intelligence plus a platform-by-platform score, here showing Google Gemini.
At a glance, this connects back to Answer Engine Insights in a few key ways:
1. Visibility score A single number that reflects how consistently your brand shows up across AI-generated answers. Low score? That’s your early warning sign that you’re losing ground on a channel your competitors might already be optimizing for.
2. Share of voice This tells you what percentage of the AI conversation belongs to you versus your competitors. If three brands typically get mentioned for a given query and you’re one of them, your share of voice reflects how much of that spotlight you’re actually getting.
3. Total citations Every time an AI engine references your brand, your website, or your content as a source, that’s a citation. Answer Engine Insights tracks these so you know exactly how often and where you’re being cited.
4. Platform-by-platform breakdown Not all AI platforms behave the same way. A brand might be well represented on one engine and completely invisible on another as shown in the dashboard above, where visibility on Gemini needed attention. Answer Engine Insights breaks this down platform by platform so you know precisely where to focus.
Digging deeper: trends and rank distribution
Knowing your overall score is a start, but the real diagnostic power of Answer Engine Insights comes from the detailed breakdown underneath it. Scroll further into the platform view and you’ll find a performance table alongside two visual breakdowns a visibility trend chart and a rank distribution chart.
A detailed platform performance table showing prompts tested, visibility %, share of voice, and citations alongside a visibility trend graph and a rank distribution chart.
Here’s what each piece tells you:
- Platform performance table = A single-glance summary of how many prompts were tested on a platform, what percentage of those returned your brand (visibility), what share of the overall answer belonged to you (SOV), and how many citations you earned.
- Visibility trend = Tracks how your visibility rate and average rank move over time. Once enough data builds up, this chart shows whether your AI visibility is improving, stagnant, or slipping.
- Rank distribution = Perhaps the most revealing chart of all. It shows where your brand lands when it does get mentioned Rank 1, Rank 2-3, Rank 4-5, and so on, all the way to “Not Ranked.” In the example above, the tallest bar sits at “Not Ranked” a clear, visual signal that the brand is largely being left out of AI answers entirely, rather than just ranking low within them.
This is exactly the kind of detail that turns Answer Engine Insights from “a nice dashboard” into an actual diagnostic tool. A low visibility score alone tells you something is wrong. The rank distribution tells you how wrong whether you’re barely losing the top spot, or not showing up in the conversation at all.
Why this matters more than you think
Here’s the uncomfortable truth: AI engines don’t rank websites the way Google does. They synthesize an answer from whatever sources they trust, cite, and recognize and if your brand isn’t part of that training and retrieval process, you simply don’t get mentioned. No amount of traditional SEO effort fixes that on its own.
This is the same reason “needs attention” alerts like critical visibility gaps on specific platforms, or too few prompt executions to draw reliable conclusions matter so much. They’re not vanity metrics. They’re early signals telling you exactly where your brand is losing the AI conversation, while there’s still time to act.
From insight to action
The real value of Answer Engine Insights isn’t just seeing the numbers it’s knowing what to do next. Once you know:
- Which platforms are ignoring your brand
- Which prompts you’re missing from
- How your citations compare to competitors
…you can start making targeted improvements: strengthening the content AI engines pull from, running more prompt tests for reliable data, and closing the visibility gaps platform by platform.
Final thought
Search engines used to be the finish line for brand discovery. Now they’re just one stop AI answer engines are quickly becoming the new front door for how people find, compare, and choose brands.
The brands that win over the next few years won’t just be the ones ranking well on Google. They’ll be the ones showing up, being cited, and being trusted inside AI conversations and that starts with actually being able to see what AI is saying about you.
That visibility is exactly what Answer Engine Insights gives you.
Curious where your brand currently stands across ChatGPT, Gemini, and other AI platforms? Explore your Answer Engine Insights on Lunocode and find out today.
SEO & GEO specialist.
