Before you pay for an AI Mode tracking tool, use the free one you already have: Google Search Console has a dedicated AI Mode filter, with data going back to June 2025. Go to Performance, then Search Results, click “+ New,” choose “Search Appearance,” and select “AI Mode.” That gives you impressions, clicks, CTR, and average position for your actual AI Mode citations. It is observed data about real users. Every paid tool in this category, by contrast, works by driving a browser session and reading what comes back, which produces a modelled estimate rather than a measurement. Both have a place, and knowing which is which changes how you read the numbers.
Here is what the paid tools actually do, the two findings that should shape your whole approach, and what to check before buying.
AI Mode and AI Overviews are not the same channel.
This is the finding that surprises most people: there is only about 13.7% citation overlap between AI Mode and AI Overviews. Appearing in one provides close to no guarantee of appearing in the other.
They are genuinely different products with different mechanics:
| AI Mode | AI Overviews | |
|---|---|---|
| Format | Conversational, supports follow-ups | Static summary block |
| Appearance | A separate experience the user enters | Appears on the standard results page |
| Position | Each component has its own position. | Effectively one position |
| GSC filter | Its own “AI Mode” filter | A different filter |
That position row matters more than it looks. In AI Mode there is no single rank to hold, because the answer is assembled from components that each cite separately. Any tool reporting your “AI Mode ranking” as one number is compressing something that does not compress cleanly.
If you have been tracking AI Overviews and assuming you were covered, you were measuring a different channel. Our roundup of the best AI overview rank tracker tools covers that side, and you need both.
The limitation is the category does not advertise.
Credit where it is due: one vendor in this space states the problem plainly, and it applies to all of them.
There is no public API for AI Mode. So every tool samples it by driving a real browser session and reading the response. That means:
- The same prompt returns different citations depending on time, location, and login state
- Google ships model updates mid-week that shift answers overnight
- Each number is, in that vendor’s own words, “a modeled estimate from repeated probes, not a meter reading of what real users saw.”
- A single check is close to meaningless
The practical consequence: judge these tools on whether they run a fixed prompt set repeatedly and show you a trend, not on whether they give you a confident number today. A tool that reports a precise single-point visibility score with no indication of sampling variance is overstating what it can know.
This is also why the free GSC route matters. GSC is reporting what actually happened to real users. A scraper is reporting what happened to the scraper.
The measurement gap nobody has solved
Here is the number that should reset expectations for the entire category: roughly 88% of AI retrieval happens through sub-queries that have zero Google search volume.
These systems decompose a question into sub-questions and retrieve against those. Those sub-queries do not appear in keyword tools because nobody types them, which means they are invisible to any tracker built on a keyword list. You can track two hundred keywords diligently and still be blind to most of the retrieval that decided whether you appeared.
Nobody in this category has a good answer to that yet. What it means for you is that a prompt set should be built around the questions your buyers actually ask in conversation, phrased conversationally, rather than around your existing keyword list. Keyword lists were built for a different retrieval mechanism.
AI Mode SEO trackers and what they cost
Published entry pricing, which varies by currency and plan structure:
| Tool | Entry price | Refresh | Coverage beyond AI Mode |
|---|---|---|---|
| Rankscale | ~€20/month | Hourly to monthly | Multiple engines |
| Keyword.com | $24.50/month | Not published | ChatGPT, Perplexity, Gemini, DeepSeek, Mistral |
| Otterly.AI | $29/month, or ~€29 + €9 add-on | Daily | ChatGPT, Perplexity, Gemini, Copilot |
| AIclicks.io | $39/month | Not published | ChatGPT, Perplexity, Gemini, Copilot (no AI Mode) |
| LLM Pulse | ~€49/month | Weekly | Multiple engines |
| SE Ranking | $52/month plus $71–276 add-on | Not published | Gemini, Perplexity, ChatGPT |
| Nightwatch | ~€79/month | Daily | Multiple engines |
| Rankability | $149/month | Not published | ChatGPT, Claude, Perplexity, DeepSeek, Copilot |
| HubSpot AEO Grader | Free | On demand | No AI Mode |
Two notes on that table. First, check the AI Mode column specifically, because several tools marketed as AI visibility trackers cover ChatGPT and Perplexity but not AI Mode, and AI Mode is the one with a Google-sized audience behind it.
Second, one industry summary put the average spend in this category at around $337 a month, which does not match the tools above. That average almost certainly includes enterprise platforms. For a small or mid-sized site, the honest range is roughly $20 to $80 a month, and starting at the free end costs you nothing.
What to check before you buy
- Does it track AI Mode, or only chatbots? The most common mismatch in this category. Ask explicitly.
- Refresh rate against price. A weekly refresh at €49 is worse value than a daily one at €29. Given the nondeterminism, frequency is what produces a usable trend.
- URL-level citations or domain-only? Tools differ on this, and it matters. Domain-level tells you that you appeared; URL-level tells you which page did the work, which is the only version you can act on.
- Does it follow conversational threads? AI Mode supports follow-ups. A tool that only samples the first response misses the part where a buyer asks “which one is cheapest” and a competitor gets named.
- Does it validate that cited pages are reachable? A citation to a page that 404s or sits behind a wall is not the win it appears to be in a dashboard.
- How does it report sampling variance? If it does not, it is presenting an estimate as a fact.
- Can you export raw responses, not just scores? The full text of what the engine said about you is more useful than a composite number, and it is what you show a client or a board.
Point three is where I would concentrate a purchase decision. Domain-level visibility is a vanity metric; URL-level data tells you which page to update.
A sequence that does not waste money
- Turn on the GSC AI Mode filter this week. Free, real user data, and it establishes a baseline from June 2025 onward that no paid tool can retroactively give you.
- Write 30 to 60 conversational prompts your buyers would actually say out loud. Not keywords. Freeze the list.
- Trial one tool at the €20 to €30 tier for a month against that frozen prompt set, and look for trend stability rather than a good first reading.
- Track mentions and citations separately. Being named without a link is common, and a citation-only tool will tell you that you are invisible when you are not.
- Only then decide whether the paid layer adds anything GSC did not. For a lot of sites, GSC plus a cheap tool is the whole program.
For the wider measurement framework, our pieces on GEO vs SEO and Ziptie AI search analytics cover the strategy and platform layers, and Ahrefs Brand Radar vs Scrunch compares two of the larger options. If your priority is a specific engine rather than Google, our best Grok rank tracker guide covers that case.
The short version
Search Console’s AI Mode filter is free, reports real users, and most articles about this category do not mention it because they are selling tools. Start there. Add a cheap tracker for competitive share of voice, choose one that does URL-level citations and follows threads, and treat every number it gives you as an estimate with error bars.
And if you have been tracking AI Overviews and assuming AI Mode was covered: 13.7% overlap. It was not.
