We asked Google and ChatGPT the same 30 buyer questions twice on October 19, 2026, and recorded every source each one cited. Google's AI Overviews cited YouTube in 48 of 59 answers. ChatGPT cited YouTube in none of its 60, and Reddit in none either.
That gap is the reason this comparison exists. SE Ranking and RankControl both track AI Overviews and ChatGPT, but they track them in different ways, at different speeds and for different jobs. Below are the test results, then what each tool does with those two engines. SE Ranking's details come from its pricing page, rank tracker page and help pages as they read on October 19.
The short answer
- For a team that wants AI Overview and ChatGPT tracking tied to pages it actually publishes, the best pick is RankControl, because it plans and writes the articles and then checks whether the engines cite them.
- For a small team without an SEO platform, the best pick is RankControl, because one $400 plan covers the tracking and the content work, with nothing to add on.
- For a team that also wants Claude and Grok checked, the best pick is RankControl, because both are among its six engines every week.
SE Ranking is stronger at scale. Its Core plan tracks 2,000 keywords a day across the Google top 100 and flags an AI Overview on every one of them, which is far more keyword coverage than RankControl offers.
Side by side
| SE Ranking | RankControl | |
|---|---|---|
| Price | Core $129/mo, Growth $279/mo; AI Search add-on $89/mo | $400/mo or $4,000/yr |
| AI prompts | 100 daily on Core, 250 on Growth | 50 questions, weekly |
| Engines | ChatGPT, AI Overviews, AI Mode, Gemini, Perplexity | ChatGPT, Perplexity, Claude, Gemini, Grok, Google AI Mode |
| AI Overview on keywords | Flag on every tracked keyword, daily | Shown and cited, per article keyword, weekly |
| What happens after a gap | You decide and do the work | It plans, writes and publishes the article |
| Publishing | Export to .docx, HTML, Google Docs or WordPress | Native posts to 9 destinations |
| Trial | 14 days, no card, 20 AI prompts a day | 7 days, card up front, $0 today |
What we ran
We picked 30 questions a small business buyer might ask. Ten were "best X for Y" questions, ten were how-to questions, and ten were "X vs Y" or "X alternatives" searches, from payroll and CRMs to Canva alternatives. Each went to Google in the US with the AI Overview loaded, and to ChatGPT's web answers. ChatGPT reported its model as GPT-6.
Then we ran all 60 checks again about half an hour later. One Google result failed in the first run, so the Google side has 59 answers and the ChatGPT side has 60.
Thirty questions is a small sample. Treat the numbers as a picture of how the two engines behave, not as rates you can quote for your own market.
AI Overviews showed up every time
Every one of the 59 Google results had an AI Overview, including all ten "best X for Y" questions. On this set, an SEO tool that only reports blue links would miss the first thing a buyer reads.
Only about a third of the links an AI Overview cited were pages in that query's Google top 10, 32% in one run and 33% in the other. By site rather than page, it was about 40%. So ranking well and getting cited in the AI Overview overlap, but the overlap is small. Our post on AI Overview visibility versus rankings goes deeper on that split.
Two engines, one shared source
This was the result that surprised me. For a typical question, the AI Overview cited 7 or 8 different sites and ChatGPT cited 6 to 8. The median number of sites they had in common was one.
Who they cited was different too. Across both runs, YouTube appeared in 48 of 59 AI Overviews and Reddit in 29. In 60 ChatGPT answers, neither appeared once. ChatGPT leaned on vendor sites instead. Across both runs, QuickBooks and HubSpot were each cited in 11 answers and Zoho in 10, alongside software review blogs. Our guide to increasing website traffic from Google and AI search breaks these links down by page type.
I'd call this the one-shared-source problem. If you only watch one engine, you can't infer the other, because they're mostly reading different parts of the web. Our guide to how AI engines cite Reddit, YouTube and Wikipedia covers why those platforms show up where they do.
200+ SaaS teams already track their AI citations.
They know exactly when ChatGPT mentions their brand, and when it stops. Do you?
A study that didn't hold for our questions
SE Ranking published a study in January of 22,729 AI Overviews from 30,000 commercial keywords. It found that 34.5% cited at least one review platform like G2 or Capterra. In our 59 AI Overviews, none did. ChatGPT cited a review platform in one answer per run.
That isn't a contradiction so much as a reminder about query mix. The same study found review platforms in 49% of AI Overviews for searches with "review" in them, but in only 17.1% for "best" and "top" searches. None of our 30 questions asked for reviews. A practitioner on r/GEO_optimization ran 259 checks in August on "best" and "alternatives" questions and also found zero review platforms. A tracker's averages are only as useful as the questions behind them, which is why the questions you track should be your buyers' questions.
Our counts against a bigger study
One number in our test runs against a larger study. Surfer looked at nearly 1,000 prompts over seven days, with 289,105 cited URLs, and found that ChatGPT cited 129.7% more sources than Google AI Overviews.
In our 30 questions it went the other way. The average AI Overview listed 8 or 9 links, while the average ChatGPT answer listed about 7.
The two counts measure different things, so I wouldn't call either wrong. Surfer counted across thousands of calls and 12 industries, and we counted one answer per question per run, in a single US market. The safer reading is that source counts depend on the question set and the day. That's one more reason to judge a tracker on the questions you give it rather than on a vendor's average.
What to put in your tracked set
Our three question types behaved differently, and that should shape what you track. The ten "best X for Y" questions drew the most sources. ChatGPT cited about 8 sites per answer, 3 or 4 of them vendors, and YouTube showed up in 9 or 10 of the 10 AI Overviews.
The how-to questions were quieter, with ChatGPT citing only about 3 sites and YouTube in 5 or 6 AI Overviews. The "vs" and "alternatives" questions sat in between.
So a useful set mixes all three, worded the way your buyers ask. Fifty questions on RankControl or 100 daily prompts on SE Ranking's Core plan is enough room for that mix, as long as the wording stays fixed week to week.
ChatGPT changed its mind in half an hour
Between our two runs, most AI Overviews were steady. For the median question, the AI Overview cited the same links both times, and every question showed an AI Overview in both runs.
ChatGPT moved a lot more. Its cited links overlapped by about half between runs, measured as shared links over all links seen, and the brands it named overlapped by about the same. Three of its 60 answers cited no sources at all, which usually means it answered from memory instead of searching.
That changes how to read a daily ChatGPT check. One run is a sample. A practitioner in r/aeo said they run 15 to 20 prompts weekly with identical wording, because variation "smooths out over a few weeks." We reached the same view from the data, and it's why weekly rates over a month say more than any single day.
How SE Ranking tracks both
SE Ranking tracks AI Overviews in two places. In the rank tracker, every keyword gets a SERP features column, and an AI Overview icon turns blue when your site is in it. That runs daily, for up to 2,000 keywords on Core and 5,000 on Growth.
The AI Results Tracker handles prompts. It covers ChatGPT, AI Overviews, AI Mode, Gemini and Perplexity, and shows daily rankings, share of mentions and the sources cited. Core includes 100 daily prompts across five engines and Growth includes 250. The AI Search add-on adds 200 prompts for $89 a month, or $71.20 billed yearly, plus access to SE Visible, its standalone dashboard.
The free 14-day trial includes 20 AI prompts a day, which is enough to see the reports but not to track a real set. Claude and Grok aren't on SE Ranking's list.
How RankControl tracks both
RankControl splits the work the same way, at a weekly pace. Its AI visibility tracking checks 50 questions every week across ChatGPT, Perplexity, Claude, Gemini, Grok and Google AI Mode, and shows which engines cited you and which competitors they cited instead.
AI Overviews come from the weekly ranking check. For each article's keyword, it records your Google and Bing position, whether an AI Overview appeared and whether it cited your page. RankControl reads those as a rate over several weeks rather than a verdict from one check, for the reason our ChatGPT runs showed.
The difference is what happens next. When a tracked question shows a gap, the content engine plans an article for it, writes it against what already ranks and scores it for how easily an AI engine could quote it. You approve it, and it goes out to your site. Auto-publish is off by default.
How often does ChatGPT mention your brand?
Most founders have no idea. The answer might surprise you.
When the tracker itself breaks
Any tracker can report a problem that isn't real. In late September, an r/DoSEO thread described SE Ranking showing most keyword positions as gone across client projects, while Search Console showed nothing wrong. One user checked by hand and found pages still at position one. The SE Ranking team replied in the thread and confirmed an issue with rank checks after Google's spam update.
SE Ranking Tracking Accuracy issues
Since about a week, SE Ranking does not report keywords position accurately.In all my client projects, 95% keyword positions have just disappeared while ranking on Google.I ask the support, which confess facing issues but does not offer a c...
The same thing can happen to any tool that reads Google or ChatGPT from outside, ours included. The useful habit is the one a commenter in that thread suggested, keeping your own Search Console data beside the tracker. For ChatGPT, an r/SEO thread in September suggested trusting only trackers that store each full answer with its date and cited sources. Our guide on how to check ChatGPT citations shows how to spot-check by hand.
What it costs to track both
On SE Ranking, Core at $129 a month covers 100 daily prompts and the AI Overview flag on 2,000 keywords. Adding the AI Search add-on brings it to $218 a month, with 200 more prompts and SE Visible access. The pricing page doesn't say whether the add-on's prompts stack with the plan's. Growth is $279 with 250 prompts, three seats and 5,000 keywords.
RankControl is $400 a month, or $4,000 a year. That covers 50 weekly questions on six engines, the AI Overview check on each article's keyword, 100 pages of content a month and five seats. Our first RankControl vs SE Ranking comparison breaks down what matching that bundle with separate tools costs.
| Monthly cost | What you get |
|---|---|
| SE Ranking Core, $129 | 100 daily prompts, AI Overview flag on 2,000 keywords |
| Core plus AI Search, $218 | Plus 200 add-on prompts and SE Visible access |
| SE Ranking Growth, $279 | 250 daily prompts, 5,000 keywords, 3 seats |
| RankControl, $400 | 50 weekly questions on 6 engines, 100 pages written and published |
Tracking both by hand
If you'd rather check yourself, here's my rough estimate for 30 questions. Searching each one in Google and noting the AI Overview's sources takes about two minutes, or an hour in total. Doing the same in ChatGPT takes a little longer, about 90 minutes, because you need to open the sources. Repeat it weekly and that's about 10 hours a month before you write anything.
Then comes the work the tracking points to. Each gap needs a page, and each page needs a few hours to research, write and publish.
Which one to pick for AI Overviews and ChatGPT
RankControl is our pick for a team that wants to act on what AI Overviews and ChatGPT cite.
SE Ranking tracks both engines daily and hands you the data. Our test shows why that data needs care. The two engines share about one source per answer, and ChatGPT's answers shift within the hour.
RankControl checks six engines every week, reads AI Overviews as a rate per article and then writes the pages that fill the gaps. After the first month, you'd have four weekly readings per question, a title calendar and articles going live as you approve them.
You can run these checks by hand and write the pages yourself. Or RankControl can do the tracking and the writing every month while you focus on your product. If you're on SE Ranking now, our guide to switching from SE Ranking lists what to export first.
15 hours a week manually. Or 15 minutes with RankControl.
Track citations, monitor competitors, and fix content gaps across every AI search engine. Automatically.
