8 Tools That Measure Domain Citation Rate (Compared)

citability.dev returns a verifiable domain citation rate: the percentage of topic queries where a live AI engine links your domain as a source. Two other purpose-built platforms, Otterly.ai and Profound, run the same kind of live-engine test, and two do-it-yourself methods reach the same number. The rest of the eight tools compared here, including the legacy SEO suites, measure infrastructure proxies, brand mentions in AI-generated overviews, or share-of-voice metrics that correlate with citation but are not citation rate. The distinction is not semantic: a site can score well on every proxy and still have a 0% actual citation rate, which is exactly the pattern the 0% ChatGPT Citation Trap documents in detail.

Which tools measure domain citation rate? Five approaches return an actual citation rate, the percentage of topic queries where an AI engine links your domain as a source: citability.dev, Otterly.ai, and Profound as purpose-built platforms, plus two do-it-yourself methods (scripted API testing and manual browser testing). Three others, Semrush AI Toolkit, Ahrefs Brand Radar, and BrightEdge / Conductor, measure AI visibility proxies (brand mentions, share of voice) rather than a true citation rate. The tools that report a real citation rate all use the same method: they run a fixed query panel against live AI engines (ChatGPT, Perplexity, Claude) and count the responses that link your domain. The visibility suites infer from SERP and brand-mention data instead, which is why a domain can score well on every visibility proxy and still have a 0% citation rate.

We ran these approaches against a live buyer-intent query set in July 2026; the underlying dataset and method are in our 6-site AI visibility benchmark. This post compares all eight approaches available in mid-2026, explains what each actually measures, and tells you when to use each.

What "Domain Citation Rate" Actually Means#

Before comparing tools, the measurement needs a clear definition. Domain citation rate is the percentage of topic-relevant queries where an AI search engine returns your domain as a linked source in the response.

Three other metrics are frequently confused with it:

• AI visibility rate: percentage of relevant queries where your brand or domain is mentioned in the answer text, with or without a link. This is the more common metric because it is easier to measure.
• AI citation frequency: average number of times per cited response that your domain appears as a source (one response might cite you three times).
• AI recommendation rate: percentage of queries where an AI engine recommends your product, brand, or site unprompted, distinct from citing it as a factual source.

Citation rate is harder to measure than visibility because it requires actually querying AI engines and parsing the response for linked source URLs. Visibility can be proxied from brand monitoring. Citation cannot.

The 8 Tools Compared#

The column worth scrutinizing is "Citation Rate?" Five of the eight approaches produce an actual citation rate: the three purpose-built platforms and the two DIY methods. The legacy SEO suites produce visibility metrics instead. Where citability.dev differs from Otterly and Profound is scope and price: it pairs the live citation test with an infrastructure diagnosis and a free entry scan, where the incumbents are subscription or enterprise tools focused on ongoing brand monitoring at scale.

citability.dev: Infrastructure + Live Citation Testing#

citability.dev is built specifically for measuring AI citation readiness. The free scan checks 18 infrastructure signals that correlate with citation likelihood, grouped into four categories: crawl access (robots.txt permissions for GPTBot, ClaudeBot, PerplexityBot), rendering (SSR vs. client-only), structured data (JSON-LD schema coverage per page), and content signals (answer-first layout, freshness indicators).

The paid AVR (AI Visibility Readiness) audit extends this with actual citation testing: a query panel run against ChatGPT Search, Perplexity, and Claude, with responses parsed for linked source URLs. The result is a citation rate per engine and per topic cluster.

This is the only tool in the comparison that uses the AVR methodology, which formally separates visibility, recommendability, and citation as three distinct metrics. The methodology is open-source and documented at citability.dev/methodology. The foundational V/R/C separation is explained in Visibility, Recommendability, and Citability Are Not the Same Thing.

Best for: establishing a real citation rate baseline, diagnosing citation blockers, small to mid-size teams without enterprise SEO tool contracts.

Otterly.ai: Live-Engine Visibility and Link Tracking#

Otterly.ai is a purpose-built AI-search-visibility platform. It runs your prompts against live engines (ChatGPT, Perplexity, Google AI) on a schedule and tracks both brand mentions and the link citations that appear in the answers, so it produces a real citation signal rather than a SERP proxy. Its strength is ongoing monitoring: prompt sets, competitor comparison, and change-over-time dashboards on a subscription.

In our own July 2026 measurement over a buyer-intent query set, Otterly.ai scored highest among the AI-visibility tools we tested, which is consistent with a platform whose core job is live-engine tracking. Where it differs from citability.dev is the infrastructure half: Otterly measures what the engines currently do, while citability pairs the live test with a diagnosis of the robots.txt, rendering, and schema signals that determine whether you can be cited at all.

Best for: teams that want recurring, competitor-benchmarked AI-visibility monitoring and are ready to pay for a subscription.

Profound: Enterprise Answer-Engine Monitoring#

Profound (tryprofound.com) is an enterprise answer-engine-optimization platform that monitors visibility, citations, and share-of-voice across AI engines at scale. It is built for larger teams running many prompts across many topics, with the reporting and seat structure that implies.

It runs live-engine tests, so it belongs in the citation-rate column rather than the proxy column, but its price point and scope put it at the enterprise end. For a solo operator or small team, it is more platform than the job usually needs; for a content org already treating AI answers as a channel, it is a natural fit.

Best for: enterprise content and brand teams standardizing answer-engine monitoring across a large prompt and topic set.

Semrush AI Toolkit: Visibility Share-of-Voice#

Semrush's AI Toolkit (part of the Semrush suite) monitors brand mentions in Google AI Overviews and tracks how frequently a domain appears in AI-generated summaries at the top of search results. It computes a share-of-voice metric across a keyword set.

What it does not compute: the percentage of queries where your domain is linked as a source in ChatGPT, Perplexity, or Claude responses. Its data comes from Google AI Overviews, not from the conversational AI engines that operate independently of Google Search.

Semrush AI Toolkit is a strong tool for teams already running Semrush for SEO. It adds AI Overview coverage on top of keyword rank tracking. But it measures visibility, not citation rate, and it covers Google's AI product, not the conversational AI engines where citation rate matters most for direct referral traffic.

Best for: large keyword sets, Google AI Overview monitoring, teams with existing Semrush contracts.

Ahrefs AI Visibility: Index-Based AI Presence#

Ahrefs added AI visibility tracking to its suite, monitoring domain presence in AI-generated search results derived from the Ahrefs index. Similar to Semrush, it computes a share-of-voice-style metric for AI-adjacent SERPs.

The data source is Ahrefs' own index and SERP monitoring, which means it tracks AI presence in the search layer, not inside ChatGPT or Perplexity responses. The metric is useful for tracking whether content is appearing in the AI-influenced discovery layer, but it does not produce a citation rate.

Best for: competitive benchmarking at scale, tracking AI-influenced SERP presence alongside traditional rank tracking.

BrightEdge and Conductor: Enterprise AI Presence Dashboards#

BrightEdge and Conductor are enterprise SEO platforms that have added AI visibility dashboards, tracking brand presence in AI-generated content at scale. These are built for large teams managing hundreds of domains and thousands of keyword sets.

They compute brand presence metrics, share-of-voice, and competitive benchmarks. Neither computes a citation rate by the definition used here. For a solo operator or small team measuring citability.dev's own AI footprint, these are overkill and not accessible at reasonable price points.

Best for: enterprise content teams with existing BrightEdge or Conductor contracts, multi-domain AI visibility monitoring.

Manual API Testing: Highest Accuracy, Most Setup#

The most accurate citation rate measurement is automated querying of AI engines via their APIs. Using the OpenAI API with web search enabled, you can script a query panel, run each query, parse the response for cited URLs, and compute a citation rate.

This approach takes 4-8 hours to set up but can run on a schedule (quarterly re-measurement), covers any query set you define, and produces results for any engine with a queryable API. The downside is engineering overhead: you need to handle API auth, response parsing, citation URL extraction, and result logging.

The AVR methodology includes a template for this approach. For teams with engineering resources, automated quarterly testing is the most reliable path to tracking citation velocity over time.

Best for: engineering teams, recurring quarterly measurement, large query panels.

Manual Browser Testing: Fastest Baseline#

The fastest way to establish a real citation rate is the manual 20-query test: open ChatGPT with web search enabled and Perplexity, run your query list, mark each result cited/not cited, divide. It takes under an hour and produces a real number.

The limitation is sample size. Twenty queries gives a 95% confidence interval wide enough that a measured 15% rate could reflect a true rate between 5% and 36%. For a baseline, that is acceptable. For making infrastructure investment decisions, you want n=50 or more. The step-by-step measurement guide walks through how to design a query panel and calculate the confidence interval.

Best for: establishing an initial baseline, small sites, teams without engineering resources.

Which Tool to Use#

If you want the rate measured for you every month, with the verbatim answers and a signed receipt for each one rather than a count, that is what citability.dev does, for $49 a month.

Everything else depends on what you are measuring and what you already pay for:

• Need to know whether you can be cited at all: the free citability.dev scan. Two minutes, no account. It runs 18 checks against your live site. It does not measure your citation rate, and it does not pretend to.
• Need a real citation rate today, for nothing: the 20-query manual test. Under an hour, and the number is genuinely yours.
• Need daily tracking across a large prompt set: Otterly.ai, $29 a month for 15 prompts or $189 a month for 100. You get the count of citations, not the verbatim answer or a receipt you can recheck.
• Already paying for AI-visibility tracking and unsure it measures citation: check what your current tool actually returns. Most tools in this space report mentions or share of voice. That is a different number from the share of buyer questions where an engine links you as a source, and the two can move in opposite directions.
• Need trend data across many keywords you already track: Semrush AI Toolkit or Ahrefs AI Visibility, layered on top of a manual citation baseline.
• Large enterprise, existing contract: BrightEdge or Conductor for visibility monitoring; add a citability.dev audit for citation rate specifically.

A blocked site (GPTBot disallowed in robots.txt, client-side rendering, no structured data) will have a 0% citation rate no matter how much visibility work sits on top of it. That is why the free scan is worth two minutes first, whichever tool you end up buying.

For a deeper look at why citation rate diverges from visibility even on high-authority sites, see The 0% ChatGPT Citation Trap, the pillar post for this cluster. For the engine-level differences that explain why tools built on Google AI Overview data miss the ChatGPT and Perplexity citation patterns, see Perplexity vs ChatGPT Citation Rules.

If a Competitor Keeps Getting Recommended Instead of You#

That is a different problem from being invisible, and it has a different fix. Why AI Recommends Your Competitors, Not You covers what actually drives the choice.

What to Do Next#

Start with the free scan. It tells you whether AI engines can reach and read you at all, which decides whether measuring your rate this month is even worth the hour.

Then get a rate. The free way is the 20-query test above, and the step-by-step guide walks through it.

When to pay instead#

The manual test hands you a number once. It does not hand you the answers themselves, it does not name whoever was cited in your place, and you will not sit down and run it again next month.

That is the whole difference. Monitoring re-runs the panel every month for $49 and returns the verbatim answers next to the rate, with a signed receipt for each one that you or anyone else can recheck. We hold our own numbers to the same standard, and where we have got a claim wrong we publish the correction rather than quietly editing it.

If you already know a competitor keeps getting named instead of you and you want to know why, the Citation Gap Diagnostic starts at $1,500: the verbatim answers, the competitors named in your place, a written fix list, a strategy call, and a 30-day re-test.

Related Reading#

• The 0% ChatGPT Citation Trap: the pillar post for AI visibility tools methodology
• Visibility, Recommendability, and Citability Are Not the Same Thing: the V/R/C framework this comparison uses
• Three-Anchor Calibration Methodology: how to calibrate your query panel for accurate citation rate measurement
• How to Measure Your AI Citation Rate: the full manual testing protocol