Let's start with the conclusion: these three sets of tools, none of which will tell you directly why ChatGPT didn't quote you. They're answering the more advanced question -- whether your brand appears in the AI answer, what's the tone of being mentioned, who's the quote, how many editions the opponent has taken. The wrong tool, you buy a bunch of dashboards that look busy but can't be converted to content; right, you have a clear visual baseline.
What the hell are these tools looking at?
The common task of GEO's monitoring tool is to throw a number of questions you care about into ChatGPT, Perplexity, Gemini, Google AI Overviews, these answer engines, and then to record four things: whether your brand is mentioned, whether it is first chosen or second, which URLs the answer refers to, how much visibility the opponent took from the same questions. All three sets of tools do this, not as much as they put their focus on the section, and whether they can be sorted into the form you can take the next day. Understanding the division of labour is more important than looking at price scales.
Outterly.AI: Quoted sources from the subject question
Differently.AI's design is the closest to the established habits of the SEO team. You enter a set of key questions that tell you which engine refers to you, which links are in the answer, which tone is positive or neutral. It's easy to explain to the supervisor the size of this "problem" to a team that's just starting to be a GEO and that hasn't yet got an AI to see the baseline. It also covers Google AI Overviews, which adds value to brands that still care about nature search. It's limited to the fact that when you're going to follow the trend across a dozen rivals and over a long period of time, the depth of its competition is thin -- it's more like a magnifying glass than a battle room.
Peec AI: Put the competition in the same picture
Peec AI, from Europe, has a good reputation in the proprietor's circles, and the best thing is to compare the visibility of the competition. It puts you in the same group of questions as a whole, drawing out who appears in the AI answer, where it's ahead and back, and the curves that have been going down these weeks. It's a clean interface, multiple brands, well-placed agent for a few customers, or marketing teams with multiple product lines. If your central question is, "Who is AI more often in our category?", Peec gives the most direct answer. Its cost is usually tied to the number of questions you're tracking and the number of models, the more expensive the library is, so it's worth thinking first: which questions are real.
Scrunch AI: From brand visibility to Agent readiness
Scrunch's ambition is bigger than the first two. Apart from tracking the brand's performance in model answers, it's more concerned about how AI reptiles and angents read your website -- does the page structure, content format make it easy for machines to capture and understand? This "visibility-added technology" approach is useful for companies that already have a certain scale, using AI traffic as a formal channel, because absence is often not just a matter of content, but also because websites are not well captured. In contrast, it is located at an enterprise level, with higher import and cost. If you're just trying to figure out if you're in ChatGPT, Scrunch's probably out of need.
How do you choose three sets?
There's no need to close the functional list and go back to your most urgent question, the answer is usually clear.
- Just starting, with a limited budget, trying to find out who to quote you: Choose Outterly.AI.
- The main battlefield is competitive, reporting to clients or supervisors on the loss of voice: choose Peec AI.
- Enterprise size, simultaneous brand visibility and website agent readiness: Election Scrunch.
- Three common blind spots: they tell you, "Is there a reference?", but they don't tell you, "What to add, which part of the structure will be quoted."
Monitor data needs to become the next article.
Buys tools, sees himself absent in 40% of questioning, then what? This is where most teams are really stuck. The dashboard will stop at "your citation rate of 23%" but will not tell you which of these 77% of the gaps is worth the priority, which format to answer, which page is actually only a fraction of the structure summary to extract. Turning numbers into content requires someone who knows search intentions, AI's extraction logic, and your product -- there's no surveillance tool that can be done for you.
So if you're stalling between three sets of tools, don't rush the cards. The answer is: what are the key questions you're asking about? If you want to see your own gaps quickly, you can schedule a 30-minute GEO diagnosis. We'll run through it with the questions you really care about, so you know what to do first, and then decide whether to pay for the tools.
