When two options look similar, the details decide the winner. This comparison breaks down the differences that actually matter for your AI visibility.
In this guide you will learn how to pick the right GEO tools. We will keep it practical, with clear steps, visual breakdowns, and specific actions you can take today. The first step in any AI visibility project is to run a free AI crawler check on your website so you know exactly where you stand against the 196 bots we track across 8 categories.
Key Takeaways
- GEO and SEO share most of their foundation, but the differences decide AI citations.
- Citability, authority, and crawl access are the three pillars that matter most.
- You can measure progress with an AI Visibility Score and AI referral tracking.
- Start with a free baseline using the free AI crawler check.
How GEO Tools Are Usually Misframed
Almost every product sold as a GEO tool answers one question: how often, and how favourably, AI engines mention your brand. That is a genuinely useful question, but it is a sampling question rather than a lookup. There is no index to query, so the tool has to run prompts against each engine repeatedly and count what comes back, which means the answer is a measurement with a margin of error, and the margin shrinks only by running more prompts more often. Understanding that one fact explains the entire shape of this market, including why the pricing is per prompt.
There is one gap none of these tools fill. Tracking what an engine says about you assumes the engine can read you in the first place, and that assumption is checkable in seconds rather than sampled over weeks. A site that turns away the fetchers behind those answers will register as low visibility in every tracker on this page, with no tracker able to say why. So the sequence that saves money is to confirm access first, then buy sampling, because sampling an access problem produces an expensive chart of a fixable configuration error.
Where the Leverage Is in GEO Tools
Decide whether you are buying a number or a diagnosis
These tools split cleanly on this. Some are built to report a visibility or share of voice figure you can put in a board deck, and some are built to tell you which sources an engine leaned on so you can go and influence them. Both are legitimate, they cost different amounts, and a team that wanted the second and bought the first ends up with a metric that moves for reasons nobody can explain. Write down which one you actually need before comparing feature lists.
Count the engines you care about, not the engines offered
Coverage differs, and more is not automatically better. If your buyers research inside ChatGPT and Google AI Overviews, a tool covering those two thoroughly beats one that samples eight engines thinly at the same price, because the sampling budget is divided across whatever is switched on. The useful comparison is prompts per engine per week on the plan you would actually buy, which is rarely the number on the pricing page.
Check whether the tool measures your market or the default one
AI answers vary by country and by language, sometimes completely, so a tracker configured to one default locale can report healthy visibility in a market you do not sell to while missing the one you do. If you operate outside a single English-speaking market, per-country monitoring stops being a nice extra and becomes the difference between data and noise. Confirm it is on the tier you are pricing, not only on the top tier.
Prefer a tool that shows its sources over one that shows its score
A visibility figure tells you where you stand and nothing about what to do next. The citation list tells you which pages, forums and third-party articles the engine actually drew on, and that list is a work queue: it names the sources worth earning a mention in. When two tools cost the same, the one that exposes the underlying sources will change what your team does, and the one that exposes only a total will change what your team reports.
Five GEO Tools Worth Comparing, and What Each Is Actually For
These five are grouped by the distinct job each one does best rather than ranked, because they are not five versions of one product and a single ordering would hide the only thing worth knowing about them. Every capability and price below was read from the vendor site on the date shown, and where a figure was not published in readable form it is described rather than invented.
WorkDuo
WorkDuo tracks recommendations at the level of individual products rather than the brand as a whole, which is the right unit if AI answers sit between your catalogue and a purchase. It reports which product an engine chooses, which competitor it chose instead, and how the answer describes yours, across ChatGPT, Gemini and Google AI. Pricing is per project and starts at 29 dollars per project per month billed yearly, or 33 dollars monthly, with the mid tier at 99 dollars monthly and the popular tier at 299 dollars; agency needs such as a white-labelled client portal and API access sit in the custom tier. Choose it over a brand-level tracker when the question is which SKU gets recommended, and choose something else if you sell one thing and product-level detail would be noise.
Read from workduo.ai on 2026-08-08.
Profound
Profound is the broadest of the five and the only one that reports demand as well as position: its prompt volume data describes what people are actually asking engines, which is the closest thing this field has to keyword research. It also ships Agent Analytics, which tracks how your own site is fetched and interpreted by ChatGPT, Gemini, Claude and Perplexity, so it overlaps with access checking rather than ignoring it. Pricing is not published on the site, so treat it as a sales-led purchase and expect the platform to be priced accordingly. Choose it when strategy has to be built on what is being asked rather than only on how you appear; skip it if you want one number for one brand.
Read from tryprofound.com on 2026-08-08.
Otterly.AI
Otterly.AI covers the widest set of answer surfaces for the lowest entry price: Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini and Microsoft Copilot, with brand mention tracking, share of voice, sentiment, link citation tracking and dedicated per-country monitoring. It also includes a GEO audit that reads a set of on-page factors, and it is available as an app inside the Semrush App Center, which matters if your reporting already lives there. There is a 14-day trial and pricing starts at 29 dollars per month. Choose it when breadth of engines and per-market coverage matter more than depth on any one of them.
Read from otterly.ai on 2026-08-08.
Peec AI
Peec AI reports visibility, position and sentiment, names the sources shaping each answer, and is the one of the five built to hand its data to something else: it exposes an API and an MCP server, so the numbers can be pulled into Claude, Cursor, n8n or your own warehouse instead of living in a dashboard. Plans are sized by tracked prompts, at 50, 150 and 350 on the three published tiers, with model choice, unlimited seats and daily tracking throughout, and multi-country plus Looker Studio appearing on the larger plan. Its money figures render as images and are not quoted here. Choose it when the data has to feed a workflow you already own.
Read from peec.ai/pricing on 2026-08-08.
Promptwatch
Promptwatch collects its data by reading the interfaces of the assistants people actually use, covering ChatGPT, Gemini, AI Overviews, Claude, Grok and Perplexity, and it goes furthest on the question of where a citation came from: alongside its own citation tracking it follows Reddit and YouTube, which are two of the sources engines lean on most and which brand-only trackers miss entirely. It also supports prompting with personas, any location and language, content gap analysis and agent analytics. There is a free tier and paid plans start at 95 dollars per month. Choose it when you need to know which off-site source is doing the work.
Read from promptwatch.com/pricing on 2026-08-08.
The GEO Tool Mistake That Costs Most
Buying a tracker to explain a visibility problem that is really an access problem
The pattern is consistent and expensive. A brand appears rarely in AI answers, so it buys a tracking platform to find out why, and the platform faithfully reports low visibility for months without ever being able to say that the cause sits in a firewall rule or a robots.txt group. None of these tools reads your access configuration as its primary job, so none of them will volunteer that answer. The check costs nothing and takes seconds, and skipping it is how teams spend a year of subscription measuring a problem they could have fixed in an afternoon.
The GEO Tool Test Worth Running Now
The check that matters here: Before you compare a single price, confirm that the fetchers behind these answers can reach your pages at all. If a tracker is reporting low visibility for a site that turns those clients away, the subscription is measuring a configuration error rather than a marketing one.
Where to Go From Here
GEO Tool is one piece of a larger picture. The full list of AI crawlers documents every crawler we track with its operator, purpose and safety rating, and the bulk URL checker audits many sites in one pass if you manage a portfolio.
Turn the guidance above into a concrete change, then confirm it worked. An AI crawl checker shows you exactly which of the 196 bots can reach your content today.
Your GEO Tool Action Checklist
Five concrete steps, specific to what this guide covered. Work through them in order, changing one thing at a time so you can tell which change produced the result.
- □Establish a baseline with an AI crawler checker and write down the score before you change anything.
- □Apply the single highest-impact change from this guide, on its own, so you can attribute the result.
- □Validate the change with the robots checker before it reaches production.
- □Re-measure and compare against your baseline rather than against expectation.
- □Schedule a recurring re-check, because redesigns and security updates quietly undo this work.