What is an LLM SEO rank tracker?

An LLM SEO rank tracker is a tool that runs a set of prompts through AI engines like ChatGPT, Perplexity, Gemini, and Google AI Overviews on a schedule, then reports whether your brand gets mentioned or cited in the responses, how often, and which competitors show up alongside you. It measures presence inside a generated answer instead of a position on a search results page.

Is an LLM SEO rank tracker the same as a traditional rank tracker?

No. A traditional rank tracker checks where a URL sits in Google's ranked list of ten blue links for a keyword. An LLM SEO rank tracker checks whether a brand gets named inside a synthesized AI answer, which has no fixed position, can change between two runs of the identical prompt, and often cites sources like Reddit threads or review pages instead of, or alongside, your own site.

How much does an LLM SEO rank tracker cost?

Entry pricing in 2026 spans roughly $20 to $100 a month for tools that track a handful of engines and prompts, climbing to $400 to $2,000-plus a month for enterprise platforms with deeper analytics, more engines, and agent-traffic reporting. Most vendors price by a mix of prompt volume, engine count, and seats rather than a flat per-domain fee.

Which AI engines should a tracker cover?

At minimum, ChatGPT, Perplexity, and Google AI Overviews, since together they cover the large majority of AI-assisted search volume. Add Gemini and Claude if your buyers are technical or enterprise, and add Grok if your category skews toward consumer or fast-moving news topics. Fewer engines is a real limitation, not a minor one: a tool that only tracks ChatGPT is reporting on one-third to one-half of your actual AI visibility.

Do I need a dedicated LLM SEO tracker if I already use Ahrefs or Semrush?

Only if AI citations are a priority you'll actually act on. Ahrefs Brand Radar and the Semrush AI Visibility Toolkit are reasonable add-ons if you're already paying for the base platform and just want a directional signal. A dedicated tracker earns its separate line item when you need broader engine coverage, prompt-level detail, or a tool built specifically to explain why you're winning or losing a citation, not just that you are.

10 Best LLM SEO Rank Trackers in 2026 (Compared)

TL;DR

An LLM SEO rank tracker measures whether AI engines mention or cite your brand in generated answers, not where a URL ranks on a search results page. That distinction is the entire category.
Pricing runs from around $20/mo for credit-based, engine-limited tools up to $2,000-plus/mo for enterprise platforms with deep conversation analytics and agent-traffic reporting.
Engine coverage is the single biggest differentiator. Several well-known tools track only one or two engines by default and charge extra, or don’t offer, the rest.
Bundled options inside Ahrefs and Semrush are convenient but shallow compared to dedicated trackers, which is fine if AI citations are a secondary metric and a real gap if they’re a priority.
None of the general-purpose trackers explain why Reddit shows up in your citations, even though Reddit is one of the most heavily cited sources across ChatGPT, Perplexity, and Google AI Overviews for comparison-style prompts.

This guide compares 10 LLM SEO rank trackers on engine coverage, pricing, and what each one is actually built to do, so you can pick the one that fits the job instead of the one with the loudest marketing.

What an LLM SEO Rank Tracker Actually Measures

A traditional rank tracker checks a fixed thing: where a URL sits among ten ranked links for a keyword, on a given search engine, on a given day. An LLM SEO rank tracker checks something structurally different: whether your brand gets named or cited inside a synthesized answer, alongside however many competitors the model decided to mention in that same response.

That difference matters more than it sounds. There’s no “position one” in an AI answer. A brand can appear first in the prose, last, or not at all, and the same exact prompt run twice in the same afternoon can return a different set of cited brands, because these engines don’t retrieve and rank the way a search index does. Ahrefs’ own documentation on AI-answer volatility notes that citation share for a single domain can swing by tens of percentage points within weeks as a model provider adjusts retrieval, which is a scale of movement classic SEO rank tracking almost never produces.

So an LLM SEO rank tracker’s real job is three things: run a consistent panel of prompts on a schedule, record who gets mentioned and who gets cited as a source, and surface the trend over enough runs that a single volatile snapshot doesn’t get mistaken for a real signal. Everything else, sentiment tagging, competitor benchmarking, citation-source breakdowns, is built on top of that core loop.

How We Evaluated These Tools

Four things separated the tools worth including from the ones that aren’t, and they’re the same four things worth checking before you commit to an annual plan:

Engine coverage. Some tools track ChatGPT only and charge extra for everything else. That’s a meaningful gap, since ChatGPT alone doesn’t represent how buyers actually split their AI search behavior across Perplexity, Gemini, and Google AI Overviews.

Pricing transparency and prompt limits. A handful of vendors publish clean per-tier pricing. Others quote a headline number that excludes the base subscription it depends on, or caps prompt volume low enough that the published price undersells the real monthly cost.

Whether the tool explains the “why,” not just the “what.” Knowing your citation count moved is only half useful. The stronger tools in this list show which specific pages or discussions got cited, so you can act on the gap instead of just watching the number.

Fit for the buyer, not just feature count. A tool built for enterprise conversation-level analytics is the wrong purchase for a two-person marketing team that needs a clean weekly number, and vice versa. Pricing verified against vendor sites and public reviews as of September 2026, since several of these tools update tiers frequently.

The 10 Best LLM SEO Rank Trackers in 2026

Tool	Engines tracked	Best for	Starting price
ReddGrow	ChatGPT, Perplexity, Google AI, Claude	Reddit-driven AI visibility	$99/mo ($79/mo annual)
Profound	ChatGPT (Starter); adds Perplexity + Google AI Overviews (Growth)	Enterprise answer-engine analytics	$99/mo
Peec AI	3 of 7 engines per plan (ChatGPT, Gemini, Claude, Perplexity, Google AI Mode, Copilot)	Multi-client agency benchmarking	~$95/mo
Otterly.ai	ChatGPT, Perplexity, AI Overviews (Gemini and AI Mode cost extra)	Budget-conscious teams starting out	$29/mo
Rankscale	Broadest coverage of this list, credit-based	Maximum engine breadth per dollar	~$20/mo
Ahrefs Brand Radar	ChatGPT, Perplexity, Google AI Overviews, Gemini	Teams already paying for Ahrefs	$199/mo per engine, bundled with an Ahrefs plan
Semrush AI Visibility Toolkit	Multi-engine, prompt-capped by tier	Unifying classic SEO and AI tracking	$99/mo (1 domain, 25 prompts)
Nightwatch	ChatGPT and Gemini only, via a paid add-on	Agencies already using it for classic rank tracking	$32/mo, plus $99/mo AI add-on
Scrunch AI	Multi-engine plus AI-agent crawl analytics	Understanding how AI agents read your site	$100/mo
AthenaHQ	Up to 8 LLMs, credit-based	Enterprise conversation-level analytics	$295/mo

1. ReddGrow

Best for: teams whose AI citations are driven by Reddit discussion and who want to know why they’re winning or losing a mention, not just that they are.

ReddGrow tracks citation rate, share of AI voice, and competitor citation gaps across ChatGPT, Perplexity, Google AI, and Claude, and ties every movement back to the specific Reddit threads and conversations the engines pulled from. That last part is the differentiator: most trackers in this list report a citation count with no path to explaining it, while ReddGrow connects the number to the underlying community conversation, since Reddit is one of the most heavily cited sources across exactly this kind of comparison prompt. See the full breakdown of what to look for in a tracker on our LLM SEO tracker page, or compare it against the broader field on our AEO tools roundup.

Tradeoff: the Reddit-linked citation analysis is the strongest fit for brands whose category gets discussed on Reddit at all. If your buyers never touch Reddit, that specific advantage doesn’t apply, and a more generalist tool may cover your case just as well.

Price: Starter is $99/month, or $79/month billed annually. Growth is $199/month ($159 annual) and Pro is $399/month ($319 annual). All plans include a 14-day free trial.

2. Profound

Best for: large brands that need the deepest conversation-level analytics and can accept a four-figure monthly bill once usage scales.

Profound is the enterprise end of this category: agent and bot-traffic analytics, sentiment scoring, and coverage across up to 10 AI platforms on its top tiers. Third-party reviews put realistic enterprise deployments anywhere from $2,000 to $5,000-plus a month once seats, platform count, and prompt volume scale up, figures Profound doesn’t publish outright.

Tradeoff: the $99 Starter plan tracks ChatGPT only, which is a narrow window into your actual AI visibility. You need the $399 Growth tier just to add Perplexity and Google AI Overviews, and prompts cap at 100 even there.

Price: Starter $99/month (ChatGPT only). Growth $399/month (adds Perplexity, Google AI Overviews, 100 prompts, 400 agent credits). Enterprise is custom-quoted.

3. Peec AI

Best for: agencies running AI visibility benchmarking across multiple client brands at once.

Peec’s brand tracking covers visibility share, ranking position, and sentiment for the prompts you choose, and its citation analysis sorts sources into categories like editorial, corporate, and user-generated content, which makes it straightforward to see how much of a citation win traces back to Reddit versus a press mention. Every plan includes unlimited seats, so agency teams aren’t paying per head.

Tradeoff: every self-serve plan, from the cheapest to the most expensive, limits you to picking 3 of 7 available engines. Paying more buys prompt volume and client capacity, not broader engine access.

Price: roughly $95/month for Starter, $245/month for Pro, and $495/month for Advanced, with a custom Enterprise tier above that. Annual billing runs about 15% cheaper.

4. Otterly.ai

Best for: budget-conscious teams who want a real multi-engine signal without an enterprise price tag.

Otterly covers ChatGPT, Perplexity, and Google AI Overviews at its entry tier, alongside prompt monitoring, weekly brand mention and ranking data, sentiment tracking, and a GEO URL audit. It’s the cheapest entry point on this list that still covers more than one major engine out of the box.

Tradeoff: Gemini and Google AI Mode are billed as separate add-ons ranging from $9 to $149 a month, and the entry tier has no API or MCP access. Budget for those add-ons if Gemini matters to your category.

Price: Lite is $29/month, Standard is $189/month, Premium is $489/month. A 14-day free trial is available with no card required.

5. Rankscale

Best for: teams that want the broadest engine coverage per dollar and don’t need deep qualitative analysis.

Rankscale runs on a credit-based model and, according to independent reviews, tracks more engines than most competitors in this price range, making it a reasonable option for teams that want breadth of signal over depth of insight.

Tradeoff: credit-based pricing makes month-to-month cost harder to predict than a flat-tier competitor, and the tool leans toward coverage breadth rather than the kind of citation-source detail Peec AI or ReddGrow provide.

Price: starts around $20/month, credit-based.

6. Ahrefs Brand Radar

Best for: teams already paying for an Ahrefs plan who want a directional AI-citation signal without adding a new vendor.

Brand Radar’s citation view shows which URL a model pulled a mention from, so you can tell whether a win came from your own site, a Reddit thread, or a competitor’s blog. It’s bundled into Ahrefs’ existing Lite, Standard, Advanced, and Enterprise plans rather than sold as a fully separate product.

Tradeoff: each AI engine costs $199/month on top of an active Ahrefs base subscription, and full six-engine coverage runs closer to $828/month once the base plan is included. Claude isn’t covered as of this writing.

Price: $199/month per engine, requiring an existing Ahrefs subscription; roughly $699/month for six engines before the base plan.

7. Semrush AI Visibility Toolkit

Best for: teams that want classic SEO and AI citation tracking under one login.

Semrush’s toolkit sits alongside its existing SEO suite, which is genuinely convenient if your team already lives in Semrush for keyword and backlink work. The standalone toolkit is priced per domain with a fixed prompt cap, and it’s also available bundled into the larger Semrush One package at higher tiers with more prompt volume.

Tradeoff: the standalone entry tier caps at 25 tracked prompts for one domain, which is thin for a brand with more than a handful of core comparison queries to watch. Real-world costs after adding domains or prompt volume commonly land between $300 and $1,090-plus a month.

Price: $99/month standalone (1 domain, 25 prompts), billed annually. Semrush One bundles run $199 to $549/month.

8. Nightwatch

Best for: agencies who already use Nightwatch for classic rank tracking and want a low-cost way to bolt on AI visibility.

Nightwatch built its name as a clean, agency-friendly classic rank tracker, with unlimited seats, white-label reporting, and API access included even on its cheapest tier. Its AI tracking is a newer add-on rather than the core product.

Tradeoff: the AI add-on covers only ChatGPT and Gemini, versus the 4 to 7 engines competing tools track. If AI visibility is your primary reason for buying, this is the thinnest coverage on the list.

Price: rank tracking starts at $32 to $39/month; the AI tracking add-on is $99/month on top, bringing the combined cost to roughly $131/month.

9. Scrunch AI

Best for: teams who care as much about how AI agents crawl and read their site as about citation counts.

Scrunch pairs citation tracking with agent-readiness analysis, essentially checking whether AI crawlers can actually parse and extract your content correctly, which is a layer most trackers on this list don’t touch at all.

Tradeoff: that agent-crawl angle is a genuinely different focus from pure citation tracking, so teams whose only question is “are we being cited” may find some of Scrunch’s reporting is answering a question they didn’t ask.

Price: starts around $100/month, or roughly $250/month billed annually at its next tier.

10. AthenaHQ

Best for: enterprise teams that want deep, credit-based AI-answer analytics across the widest engine set on this list.

AthenaHQ tracks up to 8 LLMs on a credit system that scales with usage rather than a flat prompt cap, which suits larger teams running high query volume across many prompts and markets.

Tradeoff: the credit model means cost scales with usage in a way that’s harder to forecast than a flat-tier competitor, and the self-serve entry point is priced well above budget tools like Otterly or Rankscale.

Price: Self-Serve is $295/month (3,500 credits across 8 LLMs), Growth is $545/month (10,000 credits), and Enterprise is custom-quoted above that.

Best for Reddit-Driven Brand Visibility

Every tool in this list will tell you that you were cited. Almost none of them will tell you why, and for a large share of comparison and recommendation prompts, the “why” traces back to a Reddit thread. Independent citation research has repeatedly found Reddit among the two or three most-cited domains across ChatGPT, Perplexity, and Google AI Overviews for exactly the “best X for Y” and “X vs Y” style prompts that make up most AI SOV panels, a pattern we’ve covered in more depth in our AI share of voice guide.

That’s the gap a general-purpose tracker structurally can’t close: it can show a citation count rising or falling, but it has no visibility into the community conversation driving it. A tool built around Reddit specifically, like ReddGrow, closes that loop by connecting citation movement to the actual thread an AI engine pulled from, turning a passive dashboard number into something a team can act on: reply to the thread, correct a misconception, or build presence in the specific subreddit an engine keeps citing.

If your category gets discussed on Reddit at all (and for B2B SaaS, consumer tech, and most comparison-heavy purchases, it almost certainly does), that connection matters more than an extra engine or two of raw coverage.

How to Choose the Right Tracker for Your Team

Start with the question you actually need answered, because the ten tools above split cleanly into three jobs.

If you need a clean, low-cost signal and you’re just getting started, Otterly or Rankscale cover multiple engines at a price a solo marketer or small team can justify without a budget conversation. Neither gives you deep citation-source analysis, but neither pretends to.

If you’re already paying for Ahrefs or Semrush and AI citations are a secondary metric, Brand Radar or the Semrush AI Visibility Toolkit are the path of least resistance. You’ll get a real, directional number without adding a new vendor relationship, at the cost of shallower analysis than a dedicated tool provides.

If AI visibility is a primary metric your team is accountable for, the dedicated platforms, Profound, Peec AI, AthenaHQ, Scrunch, and ReddGrow, are built for that job specifically. Among those, the deciding factor is usually which “why” you need answered: Profound and AthenaHQ for enterprise conversation-level depth, Peec AI for multi-client agency benchmarking, Scrunch for agent-crawl readiness, and ReddGrow when the citations you’re chasing are shaped by Reddit discussion.

A few practical checks before signing an annual contract with any of them:

Does the published price include the engines you actually need, or does real coverage require an add-on or a higher tier? Several vendors here quote a headline number that understates the true cost of full coverage.
How many prompts does the plan actually include? A cap of 25 sounds fine until you count the comparison queries and competitor-specific questions a real buyer panel needs.
Can you see the source behind a citation, not just the count? A rising number with no explanation tells you less than a flat one you understand.
Is the pricing model predictable? Flat tiers are easier to budget against than credit systems that swing with usage.
Does the tool track the engines your buyers actually use, rather than the engines that were easiest to integrate first?

None of these tools are wrong purchases in the abstract. The mismatch happens when a team buys enterprise depth it doesn’t need, or budget breadth when the real question was always “why,” not “how many.”

ReddGrow tracks citation rate, share of AI voice, and competitor citation gaps across ChatGPT, Perplexity, Google AI, and Claude, and connects every movement back to the specific Reddit conversation behind it. See the full picture on our LLM SEO tracker page, or compare the wider AEO tooling landscape on AEO tools.