Best AI Citation Tracking Tools for Marketers

You typed your own category into ChatGPT last week, and a competitor came back as the answer. Not you.

That stings. It also means you now have a question you cannot unask: who gets cited in AI answers about your market, and why isn't it you?

Here's the good news. That question has a measurable answer now. A few years ago it didn't. The tools in this guide exist to tell you which prompts surface your brand, which of your pages AI engines actually link to, and which competitor pages are eating your share.

This guide compares the best AI citation tracking tools for marketers: DeepSmith, LLMrefs, Otterly, and cited.so. Four tools, four genuinely different bets. One of them is probably right for you, and it isn't the same one for everybody.

And if you feel late to this, you're not. Google AI Overviews went from appearing on roughly 6% of searches in early 2025 to more than half of them by that October. The whole category went from experiment to table stakes in about two years. Nobody has a decade of experience here. That's rare, and it's in your favor.

How we picked these tools

Criteria first, because a roundup without stated criteria is just an opinion in a nice font.

We judged each tool on five things a marketing lead actually needs:

1. Citation-level reporting, not just mentions. Can you see the specific URL an engine cited, or only that your brand name appeared somewhere?
2. Engine coverage at the price you'd really pay. Not the coverage on the enterprise page. The coverage on the tier your budget approves.
3. Marketer-friendly setup. No developer required, no API keys, no data pipeline to babysit.
4. A path from insight to action. Knowing you're losing is step one. Something has to close the gap.
5. Honest pricing. Published numbers, no "contact sales" wall for a two-person content team.

We deliberately left out developer-first API tools and broad brand-sentiment suites. Those solve adjacent problems. This is about citation tracking for marketing teams who need to report on visibility and then do something about it.

That fourth criterion is where most shortlists go wrong, so it's worth a beat. Two teams can have the identical dashboard and identical gap, and only one of them closes it. The difference is never insight. It's whether anyone has a free afternoon to write the page. Keep that in mind as you read: the right AI answer citation tracker marketers reach for depends less on the feature grid than on which half of the job you're actually stuck on.

Mentions and citations are not the same thing

Take thirty seconds on this, because every tool below reports both, and mixing them up will wreck your reporting.

Mention rate is how often an AI engine names your brand in an answer. Just the name, sitting in the text. No link.

Citation rate is how often an engine treats one of your pages as a source and links to it.

Both matter, differently. Mentions build recall and shape how the model reasons about your category. Citations drive referral traffic and demonstrate authority you can point at in a board deck.

If you're only tracking one, track citations. That's the one with a URL attached, which means it's the one you can trace back to a page and improve. Our breakdown of citations versus brand mentions goes deeper if you want the full distinction.

The third metric you'll see everywhere is share of voice: your visibility relative to competitors, usually drawn as a leaderboard. It's the number your CEO will ask about.

There's a fourth thing to look for, and it separates a real tool from a vanity dashboard: page-level citation attribution. That's the feature that connects "we got cited" to "because of this specific URL." Without it, you have a score and no lever. With it, you have a to-do list. Three of the four tools here expose it, and it's the requirement worth defending when you're comparing options.

One more sanity check before we get to the tools. These tools sit next to your rank tracking, not on top of it. Classic search hasn't gone anywhere. You're adding a channel, not replacing one, and the difference between ranking and being cited is worth understanding before you set targets you can't hit.

The four tools at a glance

One honest note before you read the table again: cited.so isn't really in the same column. It's a managed service, not a dashboard. We've included it because it keeps showing up in these lists and you deserve to know what it actually is. More on that below.

1. DeepSmith

Best for: marketing leads who are tired of learning they're invisible and then having no capacity to fix it.

Category: analytics plus content production.

Pricing: $99/mo (Pro), $199/mo (Grow), $399/mo (Scale), custom Enterprise. Annual billing drops those to $80, $160, and $299. There's a 7-day free trial, no long-term contracts, no cancellation fees.

Most tools in this category stop at the diagnosis. They hand you a dashboard that says your share of voice is 4% and a competitor's is 31%, and then they wish you luck. If your bottleneck was never knowing, that's enough. If your bottleneck is capacity, a better dashboard doesn't help.

DeepSmith is built on the second assumption. It's one platform for AI search analytics and content production, and the two halves feed each other.

On the tracking side, you define the prompts your buyers actually ask. The platform checks them on a schedule and reports mention rate, citation rate, share of voice, and visibility trend, broken out per platform. A competitor leaderboard shows who's winning. The Pages view shows which of your URLs earn citations, each page's share of your total citations, and the prompts driving them. That's the view that turns "we're losing" into "we're losing on these four prompts, and this competitor page is why."

Competitor citations get their own surface: which competitor pages win on your prompts, on which exact pages, and how each rival performs by engine. If you've ever tried to reverse engineer that by hand, you know why this matters.

Not sure which prompts to track? Discover Prompts generates a starter set from your product, persona, and buyer-stage context, so you're not staring at an empty list on day one.

On the production side, the gaps become articles. Content Studio moves ideas from New Ideas to Planned to Produced. The Writer turns one planned idea into a finished, brand-grounded article: researched, internally and externally linked, with a cover image and publish-ready metadata. Autowrite goes further, generating on a scheduled date without anyone in the app, then landing the piece in Produced Content for review. From there it publishes straight to WordPress, Strapi, Webflow, or your own webhook, with Markdown and HTML export as a fallback.

The reason output doesn't read like generic AI content is Deep IQ, the brand context layer: About Company, Products and Services, Buyer Persona, Brand Voice, Visual Guidelines, and Content Types, stored as structured data that shapes every draft. And because your sitemap is imported, summarized, and classified, internal linking happens during writing instead of eating an hour of your Friday.

Distribution comes attached. Every finished article arrives with social posts written, and the Apps Library turns it into LinkedIn, X, Substack, newsletter, Reddit, and other channel-native versions.

Engine coverage by tier: Pro tracks ChatGPT. Grow adds Perplexity. Scale adds Gemini. Enterprise covers all tracked engines, including Claude and Google AI Mode.

Honest limitations:

• Engine coverage scales with price. Pro is ChatGPT only, so a genuinely multi-engine program starts at Scale.
• Tracking and production are bundled. If you only want analytics, you'll pay for article capacity you may not use.
• The analytics-to-content loop is the whole design. If you're committed to a best-of-breed stack with a separate writing tool, weigh that convenience against the lock-in.

Two teams have said the shape of this out loud on record. Aparna K, GTM Lead at Skooc: "Went from four articles a month to fifteen with the same two people." Aditya G, Marketing Director at Bindbee: "We are able to track prompts for which we rank in AI answers, generating meetings." Those are the claims worth weighing, and they're the only ones we'll make.

Where it lands: if you're measuring so you can produce, this is the shortest path from gap to published page. If you're measuring for a report someone else acts on, keep reading.

2. LLMrefs

Best for: SEO and analytics teams who want the widest engine coverage for the least money.

Category: pure analytics. No content production.

Pricing: one All-in-One plan at $79/month. It includes 500 prompts, unlimited projects, unlimited team members, and API access. That's the lowest price among the dedicated trackers here for what you get.

LLMrefs made a clean decision: do one thing, cover everything. It tracks 11 surfaces, which is one of the widest named matrices in the category: ChatGPT, Claude, Google AI Mode, Grok, Microsoft Copilot, Meta AI, Gemini, Perplexity, ChatGPT Search, Google AI Overviews, and DeepSeek. Coverage runs across 20+ countries and 10+ languages.

The workflow will feel familiar if you come from SEO. Import a keyword list, and the tool auto-generates the prompts each engine would be asked. You get a per-keyword ranking table showing which brand wins, its position, share of voice, citation sources, and prompt count. There's a per-brand view across the whole keyword set, plus source URL transparency showing exactly which URLs each engine cites, broken down per surface.

Unlimited team members at $79 is quietly generous. Most tools charge per seat.

Honest limitations:

• No content production module. It tells you where you're losing and stops there.
• No native publishing integration.
• Some third-party reviews note that prompt refresh cadence runs less frequently than certain competitors on some surfaces.

Where it lands: if you already have writers and just need the scoreboard, LLMrefs gives you more engines per dollar than anything else here. That's a real advantage, not a consolation prize.

3. Otterly.AI

Best for: marketers who want tracking plus technical audit depth and are happy producing content elsewhere.

Category: analytics plus audit.

Pricing: three tiers, with 15% off annual billing.

That $29 entry tier is the friendliest on-ramp in this guide. If you want to find out whether you have a visibility problem at all before asking for budget, start there.

Otterly's default engine set covers Google AI Overviews, ChatGPT, Perplexity, and Microsoft Copilot. Claude, Google AI Mode, and Gemini are available as paid add-ons.

Where Otterly gets interesting is the audit side. Link Citation Analysis shows which URLs each engine cites as sources, with link-level breakdowns. The Brand Visibility Index gives you a composite presence score. Prompt Research builds prompt sets from real conversational patterns in your category rather than making you guess. And the GEO Audit checks a single URL for generative-engine readiness, which is the closest thing here to a technical SEO audit built for AI engines. Content Audit and Content Briefs then tell you what to fix and how to structure a page so it can be cited.

Briefs, not drafts. That distinction is the whole tool.

Honest limitations:

• The default set is four engines. Claude, Google AI Mode, and Gemini cost extra even on Standard and Premium.
• No drafting or publishing. You get recommendations, audits, and briefs, then you write.
• Higher tiers mostly raise prompt and audit quotas rather than refresh cadence.

Where it lands: if your team's strength is execution and your gap is knowing exactly which page element is blocking citations, Otterly's audit depth is the best fit on this list. As citation tracking for marketing teams goes, this is the option that assumes you can write and just need to be told what to fix.

4. cited.so

Best for: local business owners who'd rather pay someone than operate a tool.

Category: done-for-you service.

Pricing: $99/month.

Let's be straight about this one, because the name gets it onto every list and the name is misleading.

cited.so is a managed local SEO service, not a tracking dashboard. Its homepage says "Rank on Page 1 of Google & ChatGPT. For Local Business Owners," offers "done-for-you SEO for non-technical local owners," and reports being trusted by 500+ local business owners across the US. The pitch is blunt: agencies charge $3K/month, they charge $99.

It publishes content on your behalf and optimizes local rankings, with the goal framed as showing up in both Google and ChatGPT. There's no public tracking dashboard, no prompt library, no analytics UI comparable to the other three.

Honest limitations:

• Not a tracker. You can't see per-prompt citation rates or page-level attribution.
• Built for local service businesses, not B2B or SaaS marketing teams.
• You're buying an outcome, not visibility into the work.

Where it lands: if you run a dental practice or a law firm and want someone else handling this, $99/month is a reasonable deal. If you're a marketing lead who needs to report on visibility, this isn't your tool. Different category, different buyer.

How to choose

Four tools, and the honest answer is that your bottleneck picks for you. So name your bottleneck first.

You don't know where you stand. Start with Otterly Lite at $29. Fifteen prompts is enough to learn whether you have a problem worth a budget line. Cheapest possible way to replace a hunch with data.

You know you're losing, and you have writers. Pick LLMrefs. Eleven surfaces at $79 with unlimited seats, and your team acts on what it finds. Paying for a content engine you won't use would be waste.

You need to know which page element is blocking citations. Pick Otterly Standard. The GEO audits and content briefs are the deepest diagnostic layer here.

You know you're losing, and you don't have capacity to fix it. Pick DeepSmith. When the constraint is production, another dashboard becomes one more tab you don't open. Tracking that hands you finished articles is the only thing that moves the number.

You'd rather not run a tool at all, and you're a local business. cited.so, and don't feel bad about it.

Notice what's missing from that list: a "best" pick. There isn't one. The cheapest tool here is the right answer for a team with writers and no data, and the wrong answer for a team drowning in data with nobody to write. Same tool, opposite verdict, and the only variable is you.

Budget helps sort it too. Across the analytics tools the spread runs $29 (Otterly Lite), $79 (LLMrefs), $99 (DeepSmith Pro), $189 (Otterly Standard), $399 (DeepSmith Scale), $489 (Otterly Premium). Every one of those is less than a single freelance article. If price is the thing blocking you, that's worth sitting with for a second.

A word on trials, since every tool here has a low-commitment way in. Use it on your real brand and your real prompts, not the demo workspace. An AI answer citation tracker marketers can evaluate in a week is one that shows your own uncomfortable numbers on day two, not a polished sample account.

One more thing worth saying out loud. None of these tools guarantee citations, rankings, traffic, or revenue, and any tool that tells you otherwise is selling something. They tell you where you stand and, in some cases, help you act. The work still has to be good. What changes is that you stop guessing.

Start with data, not a rebuild

If this feels like a lot, that's normal. Everyone in AI search is early, including your competitors.

You don't need a strategy document this quarter. You need one week of real data about your own brand.

Pick the tool that matches your bottleneck. Track ten prompts your buyers actually ask. See who gets cited in AI answers today. That's the whole first step.

If your gap is capacity rather than awareness, start a DeepSmith free trial and see real data plus real drafts before you pay. Seven days, no contract.

Take it one prompt at a time. Momentum matters more than a perfect stack.