If you are actively trying to improve your brand's visibility across the most popular AI tools and large language models (LLMs), tracking and monitoring how often those AI models reference your brand is one of the most important things you will do.
However, for those short on time and/or new to the world of generative engine optimisation (GEO), it isn’t obvious which tool is best.
There are already tons of options available when it comes to GEO tools, so as a leading GEO agency we’ve researched, tested and reviewed a few of them and published our findings here for your benefit.
For those looking to skip straight to the detail and save on time, below we have summarised our comparison findings to help you select the right GEO tool for you:
Want more detail about each tool?
Below, we’ve outlined what our research uncovered about each one and, where applicable, our experience using them.
Trackerly is a very useful tool that allows you to set up prompt tracking campaigns with ease.
Within the dashboard, you can input exactly which prompt(s) you want the tool to automatically test each day, and it’ll do so.
The tool will test each popular LLM multiple times per day, and you can neatly categorise your various prompts into unique Promo Groups (useful if you’re tracking prompts and reporting on GEO visibility for multiple clients.
We found this tool to be very intuitive.
With a fairly simple design, your focus is kept on either setting up your next prompt tracking campaign or diving into the data and detail surrounding how visible your brand is (and your competitors brand are) in the AI Search space for an existing one.
You will find within your account a few different visualisations of your LLM performance data, including how mentions of your brand in AI-generated responses is trending over time alongside a share of voice graph based on this.
With the tool, you can also quickly get a snapshot of some of the sources that get cited in responses generated to your target prompts.
We really like the fact that with this tool you can plug in different brand names to grab all the relevant data surrounding how many times those brands are mentioned within the responses saved within your account, making the tool highly flexible and versatile.
Peec AI is one of the more visually appealing tools that we’ve tried so far.
A lot of work has clearly gone into ensuring that the main dashboard highlights the most important data points while looking (and actually being) very in-depth and comprehensive.
The tool offers a good volume of test prompts across a limited number of LLMs.
However, while Peec AI doesn’t track the responses generated for your test prompts across the largest number of different LLMs, what they do track for those that are looked at is seriously useful.
Not only will you find details on how your brand's visibility is trending over time, but also quick access to the chats that mention it to see in what context you’re showing up.
A nice competitor benchmarking visibility feature also makes quickly visualising how frequently your brand is mentioned by popular LLMs vs key competitors quick and easy.
Overall, we found Peec AI to be a very useful tool with a clean and shareable front end.
This tool comes from one of the heavy hitters in the world on SEO analytics and tools, Dixon Jones, a cofounder of the backlink auditing and analytics tool Masjetic.com.
WAIKAY, which stands for ‘What AI Knows About You’, offers something significantly different than what you might find offered by other tools in the space.
It focuses much more on analysing brand sentiment and model understanding of your brand, as opposed to simply the number of times your brand gets mentioned in responses generated to your target prompt(s). However, it does also have a brand visibility monitoring feature for those looking for this specifically.
Much like Majestic has done in the SEO space, WAIKAY seeks to offer a different kind of insight and experience than most other tools on the market.
The WAIKAY team have deep knowledge surrounding entity extraction and content analysis, meaning that the tool can provide you with novel insights surrounding the perception of your brand related to key topics you’re interested in across the LLMs/models looked at.
Not only will you find summarised scores on how visible your brand is relative to key competitors in your space, but you can also use the tool to fact check what AI models are saying about your brand (and if such things are true or not).
Further, WAIKAY goes a level deeper in their AI response auditing, giving you the option to review your brand visibility performance across two kinds of AI responses.
The first, what they term ‘TD (Training Data)’ AI responses, involves them looking at non-live search powered responses that pull data and details from the models training data. The second, referred to as ‘GR (Grounded Reports)’, are when live searches are enabled and the generated responses are powered by the latest sources and information that the AI models can find via such searches. Both will be of interest to those studying GEO and learning just how much can be influenced by whether the AI model carries out a live search to inform its response, or not.
Profound is building a fully comprehensive suite of AI engine optimisation (AEO) tools for brands and agencies. We are quite excited about this one, although it is worth noting it is on the pricier end of the tools we looked at.
The Profound tool offers everything from AI visibility tracking and monitoring across major LLMs, to sentiment/AI perception data about your brand and insights into how you can start improving your AI visibility (i.e. actionable recommendations, powered by AI themselves, including checklists of actions brands can take which should lead to greater visibility based on the data found in the Profound tool).
One of the features that are of particular note/interest is the Conversation Explorer one.
One of the core challenges in GEO visibility tracking is knowing exactly how people are searching across AI platforms and, specifically, what monthly search volumes can be attributed to specific prompts or groups of prompts to inform marketing strategies.
While we’re still trying to verify the immediate application/availability of this feature, it is an exciting one and something we know will prove invaluable to marketers all around the world (whoever builds it!).
Another area that Profound is offering features in is on the technical and on-site analysis side. Within the tool you will find details on things like how LLMs are crawling your site, which pages they’re visiting, and how much referral traffic can be attributed to the popular AI tools. All of this is great data to have on top of the standard visibility tracking functionality that this article focuses on more generally.
Scrunch is another GEO tool that is going beyond basic visibility tracking and monitoring to also provide actionable content recommendations and technical insights (e.g. log file data to highlight how AI bots are accessing and exploring your site).
A feature they offer which is very interesting and unique is their ‘AI Personalization & Persona Insights’ one.
We are all becoming all too aware of just how much the AI models context and memory about you the user can influence the responses that it generates.
Whether it is your age, job role or interests, LLMs like ChatGPT will continue to try and incorporate knowledge on such things into their responses to make them that much more unique, relevant and personalised.
That is why features like this, which generates key personas for who is likely to fit within your brand’s ideal customer profile (ICP) will prove so useful. They help you at least start experimenting with how the context that is unique to your target audiences can shape and influence the AI models being used for search.
Scrunch also provides great coverage when it comes to how many models it is checking and looking at. There weren’t many tool providers that we found who are tracking visibility and performance across Meta AI, for example.
The tool is another one which is also incorporating AI-driven technical and content recommendations into their dashboards. For example, this could involve checking that your website can be accessed and crawled by AI bots to help ensure it can be surfaced in responses generated by the popular models.
The best GEO tools have a few key things in common that help them stand out. However, every tool is different and each one will have its own strengths and weaknesses.
Still, in order to offer the most value, a good GEO tracking and monitoring tool should have at least some of the following in place:
There is a fair amount covered in the above short list, and it may be that you need a couple of different tools to cover all of that mentioned. However, a good tool will have at least some of those things clearly on offer.
More generally we’d note that the best GEO tools will quickly evolve with how AI Search is evolving.
To start, this is done by providing data and insights surrounding a range of different AI models, aligning with the fact that early AI adopters are using different AI tools for different kinds of tasks, searches and purposes.
Next, the best tools will pull out the key information found in AI-generated responses and present them to you in a way that makes it quick, easy and intuitive to analyse that data.
Whether it is a simple check on how your brands visibility is trending over time for a specific prompt, or research into what sources are influencing your visibility (or lack of it) for that prompt, your tool of choice should help you uncover insights that can be used to actually enhance and strengthen your brand’s AI Search performance.
The details above speak to a range of factors that you should be looking for when selecting a good GEO tool, and there really is so much more that you can and should look for depending on your unique wants and needs.
The factors you should consider will be influenced in part by the size and scope of the GEO project you’re working on, and also the budget that you have available for your GEO tool of choice.
Outside of the above, there are some other factors that we would recommend you consider when selecting the right AI optimisation (AIO) tool for you and your brand.
For example, broad visibility tracking is great but, as an SEO agency originally, we know that in order to drive traffic and, more importantly, sales/conversions (especially in the age of AI where traffic is dwindling) you need to get your brand mentioned as the first one within the AI responses generated when searching your target prompt(s).
So, the best tools will also offer you the ability to track in which position your brand ranks in AI responses relative to other brands mentioned in the same result.
Reliability is another factor that will become increasingly important as AI search continues to evolve.
This matters both in terms of ensuring that your tool of choice is available at all times/whenever you need it and that it can be trusted to automate the testing of your target prompt(s), and also reliability in terms of how accurate the responses recorded are relative to manual tests of your target prompt(s) that you might run yourself.
Now, we’d note here that AI-generated responses are already incredibly personalised, and only becoming more so.
As you continue to use the different LLMs available, the idea is that each one will build up a bank of knowledge about you and your brand based on everything from your previous search history to your demographic details and stated preferences when using the tools.
Naturally, this will influence the kinds of responses that AI tools generate when you manually search your target prompt(s).
In the future, what this means is that you will likely want/need to track AI visibility and how your brand gets featured in AI generated answers in response to those matching your ideal customer profile (ICP) and ever new AI users entirely (or those using free tools with no memory/demographic details attached). The race is on to see which tool can offer visibility tracking with all of the above in mind.
To build upon this question, we asked Hugo Huijer, the founder of the AI visibility tracking tool Trackerly.ai, for his opinion on what are the key things to consider when selecting an AI tool. This is what he had to say:
“When deciding on an LLM tracking tool, I believe brands should be aware of a few important caveats.
To start, the most important one being that LLMs are non-deterministic, and therefore, they are consistently inconsistent.
The article linked above shows that brand visibility can fluctuate a lot, even if the LLM "should" have sufficient training data.
This means that your brand's ranking for a prompt can and will change, even when asking the AI exactly the same question. Therefore, it's important to cast a wide enough net when determining brand visibility.
You cannot run a single prompt, collect the data and call it a day. No, you need to track dozens of prompts, each with different angles, personas, specific contexts etc., and not just for a single LLM, but for every LLM your customer might be using. Also, not just for a single day, but over a longer duration. Only then will you be able to get a good baseline.
With Trackerly, we've built a tool that allows users to cast a wide net without spending thousands.
A lot of competing tools are too expensive (in my opinion), which makes it harder for agencies (and their clients) to justify the need for good LLM tracking.
Also, I believe LLM trackers should be versatile. You need the freedom to create a prompt exactly the way you like it, without being limited by the tool. With Trackerly, you can track multiple languages, personas, prompt groups etc., all in one place without being limited.
Lastly, the reporting needs to be granular.
There is no Google Search Console alternative yet for ChatGPT or Perplexity, and so it's hard for brands to close the data loop.
With our tool, and its unique ability to track ‘Relative Position of First Mention’, users can accurately correlate brand visibility in LLMs with actual clicks measured in GA4.
Brand visibility in an answer is nice, but being at the top of the answer is much more valuable than being mentioned all the way at the bottom. Tracking your brand's position is a great way to visualize brand presence to clients (especially C-level folks), and I believe it's also key to understand the nature of this beast that we're trying to track.”
Hugo Huijer
In the article above we have covered a lot already in terms of what to look for and consider when selecting the right GEO tool for you and your brand, and even here we’ve only just begun to scratch the surface of what is sure to be a massive industry.
In the months and years ahead we are likely to see countless GEO tools pop up, each offering their own strengths and weaknesses and areas of focus.
At Reboot, we will continue to test the tools coming out and share our thoughts and findings. We look forward to seeing how the space will evolve and what we can learn from the wide range of tools available to us.
If you would like to learn more about GEO and how our expert team can help you get your brand more visible in AI search, get in touch.