The 8 Best Tools to Track AI Citations in 2026, Compared

An AI citation tracking tool records which pages ChatGPT, Gemini, Perplexity and Google’s AI surfaces cite when they answer your buyers, and your share of those citations against the competitors you name. This list is for that job only, and Prefer ranks first: it tracks the sources and your share of voice across five engines on every plan, and does the work that wins citations. If you want alerts the moment an answer changes, see the best AI search monitoring tools. If your question is what AI says about your brand and whether it is true, see the best AI brand monitoring tools.

How we built it. We did not open trial accounts with the rival tools. We read each vendor’s documentation on 19 September 2026, checked every entry price in a rendered browser on 19 September 2026 (Profound’s on 18 September; plan details from earlier checks carry their own dates), and measured how four AI engines answer this exact question, three times each, on 13 September 2026. Prefer is first because it is our product and our pick, and we say below where it is not the answer. The list includes every tool that two or more of the four engines named on this question, ordered by how many of the 12 answers named it: Profound 11, Otterly 10, Ahrefs 9, Semrush 7, Peec AI 6 and Scrunch 6. LLM Pulse, named once, is an exception: its pages were cited in 30 answers to tool-buying questions and it documents page-level source reports. Dageno AI, LLMrefs and Pageradar were named 3 times each, all by Claude alone, so they are not on the list.

AI engines name one set of tools and cite another#

We asked ChatGPT, Gemini, Perplexity and Claude 15 questions about choosing AI visibility tools, three times each, through the DataForSEO API with web search on (the full study). For each tool, we counted the answers that named it and the answers that cited a page on its own site.

Paired bars for seven tools across 180 answers to 15 tool-buying questions: answers naming the tool, and answers citing a page on its own site. Semrush named 140, cited 33. Profound named 135, cited 35. Otterly named 125, cited 14. Peec AI named 110, cited 2. Ahrefs named 108, cited 16. Scrunch named 88, cited 27. LLM Pulse named 17, cited 30, mostly for its own best-tools lists.

Tool	Answers naming it (of 180)	Answers citing its own site
Semrush	140	33
Profound	135	35
Otterly	125	14
Peec AI	110	2
Ahrefs	108	16
Scrunch	88	27
LLM Pulse	17	30

The recommendation and the evidence behind it are usually different pages. Peec AI is the sharpest case: 108 of the 110 answers that named it cited no page on peec.ai. The engines built those answers from lists, reviews and threads published by other people. LLM Pulse runs the other way: pages on its site, mostly its own best-tools lists, were cited in 30 answers, and the tool itself was named in 17.

The link runs both ways, though. On this page’s question, Claude named the company behind the cited page for 13 of its 17 citations. Being the cited source can get you named.

This is why a citation tracker has to store the cited URLs, not just your brand name. A mention tells you that you were recommended. The citations tell you which pages the engine read before it recommended anyone, and those are the pages you can pitch, update or answer. ChatGPT’s first answer to this question put “exact cited URLs and domains” first in its list of what a tool must measure. The mention vs citation explainer covers the difference in more detail.

One check is a sample, not a measurement#

Across all 80 questions in the same study, two runs of the same question shared, on average, 37% of the sites cited across both on ChatGPT, 35% on Gemini, 68% on Claude and 96% on Perplexity. The runs were fresh API calls with no chat history, and all three answers to a question came back within 23 seconds of each other.

Bars show how many of the sites cited across two runs of the same question both runs shared, on average, across all 80 study questions: Perplexity 96% (240 run pairs), Claude 68% (179), ChatGPT 37% (206), Gemini 35% (200). A marker shows this page's question, "Best tool to track AI citations": Perplexity 100%, Claude 57%, ChatGPT 43%, Gemini 13%. Below, a grid of URLs by run for this question. Gemini made 36 citations to 30 different URLs (13, 13 and 10 per run); 2 URLs were cited in all three runs, 2 in two runs, and 26 in one run only. Perplexity cited the same 20 URLs in all three runs.

This page’s question shows the spread. Gemini’s three runs made 36 citations to 30 different URLs, and two runs shared, on average, 13% of the sites cited across both. Perplexity cited the same 20 URLs in all three runs. Of the 56 sites cited across all 12 answers, 7 were cited by more than one engine and none by all four.

ChatGPT’s first answer to this question made the same point: “AI answers are stochastic, so a single-run “share of voice” number can be misleading.” It cited Ronald Sielinski’s 2026 paper on measurement noise, and the April 2026 paper “Don’t Measure Once” reaches the same conclusion. For a buyer, that turns into three questions for every vendor: how many runs sit behind each number, how often they repeat, and whether every run is kept. More on the data: do AI answers change when you ask twice?

Who got cited when we asked this exact question#

We asked “Best tool to track AI citations / share of voice in AI search” 12 times on 13 September 2026. The answers carried 128 citations to 66 different pages.

Stacked bars of the 128 citations in 12 answers to "Best tool to track AI citations / share of voice in AI search", by kind of page. Perplexity 60 (27 best-tools lists by an AI visibility vendor, 21 other best-tools lists, 12 other pages; 20 different pages). Gemini 36 (9, 4, 23; 30 different pages). Claude 17 (10, 0, 7; 8 different pages). ChatGPT 15 (2, 1, 12; 9 different pages). Totals: 48 vendor lists, 26 other lists, 54 other pages. Three tiles: 96 of 128 citations went to pages with "citation" or "share of voice" in the title or URL; 5 of 128 went to pages in Google's top 20 for this question (Google US, 18 September 2026); 7 of 56 cited sites were cited by more than one engine, and none by all four.

Engine	Citations	Different pages	Single top pick, three runs
Perplexity	60	20	Ahrefs once, Semrush twice
Gemini	36	30	Profound once, no single pick twice
Claude	17	8	No single pick in any run
ChatGPT	15	9	Profound in all three runs

• Most citations went to lists. 74 of the 128 were “best tools” lists, and 48 of those were published by a company that sells an AI visibility tool. On Perplexity, lists made up 48 of 60 citations.
• The cited pages matched the question. 96 of the 128 citations went to pages with “citation” or “share of voice” in the title or URL.
• Google rank did not predict them. In a Google capture of the same question on 18 September 2026 (US), 5 of the 128 citations went to pages in the top 20. The other 123 went to pages that did not appear in the 65 organic results Google returned.

ChatGPT behaved differently from the other three. It searched for the vendors by name and cited Profound’s Citation Share help article and Otterly’s analytics page in all three runs. Which sources an engine uses depends on the engine and the topic, as our analysis of ChatGPT’s sources shows.

Two ChatGPT answers to this page's question, stored as records, 13 September 2026. Run 1 at 18:07:28 UTC: prompt "Best tool to track AI citations / share of voice in AI search"; engine ChatGPT, model gpt-5.6-luna; searched yes, 4 web searches, including "best tools track AI citations share of voice AI search 2026" and "official Otterly AI search tracking citations"; brands named in order Profound, Otterly, Ahrefs, Peec AI, Scrunch; top pick Profound ("Best overall: Profound"); cited URLs help.tryprofound.com/articles/6399057996-citation-share, otterly.ai/features/ai-search-analytics, techradar.com/reviews/ahrefs, arxiv.org/abs/2603.08924. Run 2 at 18:07:35 UTC: same prompt, engine and model; 4 web searches, none worded like run 1's; the same five brands plus Semrush; same top pick; cited the same Profound, Otterly and arXiv pages, dropped the TechRadar review and added scrunch.com/faqs/what-does-scrunch-track-for-ai-visibility-that-traditional-seo-tools-dont.

We publish lists like this one, so we have a stake in the finding that lists get cited. It is still what the data shows.

Share of voice has one name and several formulas#

We also asked the four engines “What is AI share of voice and how do you calculate it?”, three times each. All 12 answers gave a mention-based formula as the main one: your brand mentions divided by all brand mentions in the category. Eight of the 12 also described a citation-based version, and several offered weighting by position or sentiment.

So two tools can both report “share of voice” and mean different numbers. Before you compare vendors, ask each one what it counts (mentions, citations or answers), whether it splits the number by engine, and which competitors are in the denominator. Then compute both versions on the same prompts with the share of voice calculator and keep the definition fixed. The share of voice glossary entry has the definitions we use.

The eight tools side by side#

Prices are from each vendor’s pricing page in a rendered browser on 19 September 2026 (Profound on 18 September). The source detail column is what each vendor’s own documentation describes, read on 19 September 2026. We did not verify it inside the products.

Tool	Entry price and prompts	Engines on that plan	Source detail documented
Prefer (ours)	$24/mo, 30 prompts	ChatGPT, Gemini, Perplexity, AI Overviews, AI Mode	Third-party sources behind each answer; share of voice per engine
Profound	Free trial (50 prompts, daily for 7 days), then custom Enterprise	Trial: ChatGPT, Gemini, AI Overviews. Enterprise: up to 9	Citation share and citation count against competitors
Otterly	$29/mo, 15 prompts	ChatGPT, AI Overviews, Perplexity, Copilot; others are add-ons	Every cited URL and which rival it names
Ahrefs Brand Radar	With Ahrefs Lite, $129/mo, 5 prompts	Seven platforms including Claude, on a check meter	Top cited pages and domains; mentions and citations separate
Semrush AI Visibility	$99/mo per domain, 25 prompts (Semrush One from $199/mo, 50 prompts)	ChatGPT, AI Overviews, AI Mode, Perplexity, Gemini (toolkit, per Semrush’s plan comparison)	Top cited domains (Narrative Drivers report)
Peec AI	$95/mo, 50 prompts	3 models of your choice	Sources by domain category; citation and retrieval rates
Scrunch	$250/mo, 125 prompts	ChatGPT, Perplexity, AI Overviews, Copilot	Most-cited domains and URLs, split by owner
LLM Pulse	EUR 49/mo, 50 prompts	ChatGPT, Perplexity, Gemini, AI Mode, AI Overviews	URL report that ties citations to pages

For every tool’s full price ladder, see our AI visibility tool pricing index.

Where Prefer is not the answer#

Prefer is our product and ranks first on this page, so here is where we would send you elsewhere.

• You need Claude on a self-serve plan. Prefer tracks Claude only on Enterprise. Ahrefs includes Claude for tracked prompts on its paid plans, and Otterly sells it as an add-on.
• Your security review needs a SOC 2 report. Profound documents SSO/SAML and SOC 2 compliance on its Enterprise plan. Prefer’s Enterprise plan includes SSO, roles and custom security, but our published facts list no SOC 2 report, and we were founded in 2025. For a strict security review, Profound is the safer pick.
• You want citations sorted by who owns the source. Scrunch splits citations into your brand, third parties, competitors and social, and Peec AI sorts sources by type. Our published product facts do not include that breakdown, so if it is the job, start with them.
• You track many competitors on a small budget. Prefer’s Starter covers 3 competitors; Growth ($129/mo) covers 10. LLM Pulse’s EUR 49 Starter allows 10 competitors per project (pricing page, read 19 September 2026).
• You need to know exactly how the numbers are made. Our published facts do not state how many runs sit behind each prompt, how long history is kept, or which share-of-voice formula we use. Ask us the same questions you ask every other vendor.
• You already pay for Ahrefs or Semrush and only need cited domains. Start with their AI layers and add a dedicated tracker if they run out.

Where Prefer fits: you want all five engines on every plan from $24/mo, share of voice against the competitors you name, and the work that wins citations in the same tool. Every plan has a 7-day free trial with no card required.

Run your own citation check before you buy#

Give every trial the same test, so you compare tools on your prompts rather than on their demos.

1. Write 10 to 30 prompts your buyers ask, and tag each as a category, comparison or problem question (how many prompts to track). Done when every prompt has a tag.
2. Name 3 to 10 competitors and keep the list fixed for the whole test. Done when every trial tracks the same names.
3. Run each prompt three times per engine yourself, in fresh chats, and log every cited URL, not just the brands named. Done when each prompt has three dated runs per engine.
4. Compute share of voice two ways, by mentions and by citations, over the same runs. Done when both numbers have a count and a denominator.
5. Compare each trial’s report with your log. If a tool’s counts sit outside the spread of your own three runs, ask how many runs, which model and which location sit behind its number; if it cannot say, do not buy on that number. Done when you know which tool’s citation counts you can reproduce and which pages it shows you.

How to choose#

Daily URL-level data on a small budget: Otterly. Enterprise citation share with SOC 2 and history exports: Profound. Sources sorted by type, with gaps ranked: Peec AI. Citations split by owner, plus crawler data: Scrunch. Already on Ahrefs or Semrush: start with Brand Radar or the AI Visibility Toolkit. Page-level source reports on five engines in euros: LLM Pulse. All five engines on every plan and the work that wins citations: Prefer, starting with a free AI visibility audit or the plans page.

For the wider field, see the best AI visibility tools and, for tracking rivals specifically, how to track competitors in AI search. If Profound is on your shortlist, our Profound alternatives page compares it with the rest; if Otterly is, see the Otterly alternatives.