What is AI citation tracking?

AI citation tracking means monitoring the source links an AI surface exposes when it answers questions in your category: which domains, which pages, and how often yours appear in the controlled prompt set. Those links are observable evidence, but they do not reveal every retrieval candidate or prove why a model produced an answer.

How is citation tracking different from brand mention tracking?

Mentions show whether your brand appears in an answer. Citations record the source links exposed alongside that answer. You need both: a mention can appear without a link, and a linked page can appear without a brand recommendation. Keep the two measures separate before deciding what to fix.

Which AI models cite their sources?

Source behavior varies by surface. Perplexity normally exposes numbered references, Google AI Overviews show supporting links, and ChatGPT can expose links when web search is active. Other models and modes may show no links or links that need separate interpretation. Trakkr's provider-aware citation table currently normalizes source URLs from ChatGPT Search, Google AI Overviews, and Perplexity; all eight platforms still contribute answer and mention evidence.

How do I see which sites ChatGPT cites in my category?

Run the buying questions your category triggers, with web search active, and record the cited URLs - then repeat on a schedule, because sources rotate. Trakkr automates this across your whole prompt set daily and aggregates the results, so you can see at a glance which domains dominate citations in your category and where your pages rank among them.

Can I track my competitors' AI citations?

Yes. Trakkr records linked sources across the controlled answer set, not only links to your domain. If an observed answer names a rival and exposes a comparison page or review site, you can inspect that exact page and decide whether the gap belongs to owned content, technical access, or third-party coverage. The link is evidence for that run, not proof of causation.

How do I become a source AI models cite?

Publish a clear page that answers the prompt, support claims with evidence, keep visible facts and structured data consistent, and make an intentional crawler policy. Then rerun the same prompts and record whether the exposed source links change. No markup, crawler rule, or page format guarantees a citation.

What is citation share and why does it matter?

Citation share is the percentage of observed source links in your controlled prompt set that point to pages you own. It helps compare your source presence with competitors and third parties over time. It is descriptive and does not prove that a cited page caused a mention or future recommendation.

AI citation tracking

When AI answers expose sources, track them.

Trakkr runs one controlled prompt set across all 8 models. Its citation table records the exact source links exposed by ChatGPT Search, Google AI Overviews, and Perplexity, alongside mentions and competitor answers from every model.

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[01]

[01]In the dashboard

/ Citations tab preview

Citations

/Citation-capable search surfaces/Last 30 daysIllustrative sample

Citation share

18%+3 pts

Cited pages

23+4

Sources in category

212+11

Slots lost to rivals

6-2

Source

Type

Citations

Cited by

yourbrand.com

Your domain

142

18%

ChatGPT Search, AI Overviews

g2.com

Review site

118

15%

ChatGPT Search, Perplexity

reddit.com

Community

12%

Perplexity, ChatGPT Search

competitor.com

Competitor

11%

AI Overviews, ChatGPT Search

techradar.com

Publisher

AI Overviews, Perplexity

wikipedia.org

Reference

ChatGPT Search, Perplexity

Every citation recorded with its URLChatGPT Search, AI Overviews, PerplexityAlerts when a slot changes hands

What this is

A representative product view using illustrative domains and values. It is not customer data or a performance claim.

Source coverage

The provider-aware source table currently covers ChatGPT Search, Google AI Overviews, and Perplexity.

Test controls

Keep the exact prompt, model or surface, market, language, and run date with every record. App and account experiences may differ.

Limit

An exposed link is evidence for that answer and run. It does not reveal every retrieval candidate or prove why the answer changed.

[02]

[02]Why citations

/ The observable source layer

Mentions and source links answer different questions.

Mention tracking records whether your brand appears in an answer. Citation tracking records the exact links a surface exposes beside that answer, including the domain, page, prompt, provider, and run date. A model may mention you without a link, or link to your page without recommending your brand.

When an answer names a competitor and exposes a review, comparison, or community page, that page becomes evidence worth inspecting. It may reveal a missing fact, weak owned page, or third-party coverage gap. It does not prove that the link caused the answer.

Trakkr runs the same prompt set across all 8 platforms. Its provider-aware citation table normalizes source URLs from ChatGPT Search, Google AI Overviews, and Perplexity; the remaining platforms still contribute answer, mention, rank, and competitor evidence.

Mention tracking vs citation tracking

What it measures

Your name in answers

Exposed source links

What it tells you

Observed brand presence

Observed page-level evidence

The unit

A mention + position

A URL + prompt + provider

The action

Review the answer change

Inspect the page and source type

The limit

No mention is not universal absence

A link does not prove causation

See the full AI brand monitoring picture

Prompt-to-citation workflow

Keep the evidence attached to the prompt

Freeze the prompt controls

Save the exact prompt, surface, market, language, and run date so the next result is comparable.

Capture the answer

Record the full response, named brands, their order, and whether the surface exposes any source links.

Normalize each source

Store the exact URL, domain, prompt, provider, first-seen date, and last-seen date for every exposed link.

Classify and recheck

Separate owned, competitor, publisher, review, and community sources, assign one action, then rerun the same controls.

[03]

[03]What Trakkr tracks

/ Six citation signals

The answer is what buyers see.

The source links are what you can investigate.

Cited domains

Every source domain exposed by the supported citation surfaces, ranked by observed link count across the controlled prompt set.

Your citation share

What percentage of observed source links point at pages you control, tracked over time without treating correlation as causation.

Competitor citations

The exact pages linked beside answers that name competitors, ready for a page-level source-gap review.

Page-level performance

Which of your URLs are linked, on which prompts, and by which citation-capable surfaces, so you can choose what to investigate.

Source-type mix

Whether observed source links point to reviews, communities, publishers, or brand domains. Use the mix to frame the next investigation.

Citation alerts

Notifications the day you lose a citation slot, win a new one, or a new source starts speaking for your category.

[04]

[04]How each model cites

/ Per-platform behavior

No two surfaces expose sources the same way

Source behavior decides what can be measured on each platform. Each guide below covers one model’s mention and citation mechanics in depth.

Perplexity

Cites on nearly every answer with numbered references. The most trackable AI platform.

Gemini

Links sources in the app and in Google AI Overviews, drawing on Google's index.

ChatGPT

Cites when it runs live web search; answers from memory go unattributed.

Grok

Cites a mix of web pages and live X posts - often many sources per answer.

Claude

Rarely cites. Recommendations reflect training-data authority, so you track outputs.

Meta AI

Inconsistent attribution inside WhatsApp, Instagram, and Facebook surfaces.

DeepSeek

Mostly unattributed model knowledge; search-augmented deployments expose more.

All 8 platforms contribute answer and mention evidence. Source-link coverage depends on what each surface exposes.

[05]

[05]How it works

/ Three steps to live citation tracking

Add your brand

Enter your domain. Trakkr generates a buyer-intent prompt set for your category and identifies your competitors automatically.

Collect answers and source links

Trakkr runs the fixed prompt set across all 8 models. The citation table normalizes exposed source URLs from ChatGPT Search, Google AI Overviews, and Perplexity.

Win the slots that matter

Citation gaps become a ranked to-do list: pages to fix, sources to earn placements on, and alerts when a slot changes hands.

2 min setupAll 8 modelsProvider-aware source links

[06]

[06]Pricing

/ Citation tracking included in every plan

One plan covers every model and every other model

Trakkr doesn't charge extra per AI model. every model visibility, alerts, and historical data are included from $100/mo.

Growth

Includes daily every model tracking

For founders and growing brands

$100/mo

Track 1 brand daily across all 8 AI models incl. every model
50 buyer-intent prompts per brand
Daily every model visibility score + alerts
Citation, competitor, and sentiment tracking

Start free trial

Scale

For agencies and multi-brand teams

$500/mo

Track 10 brands daily
Unlimited team seats
White-label client portals
API + MCP access for custom workflows

Start with Growth

Enterprise plans with SSO, custom integrations, and unlimited brands also available.See full pricing

[07]

[07]FAQ

/ AI citation tracking questions

See who AI cites in your category.

Enter your domain to start a controlled prompt set, then compare mentions and exposed source links as new reports run.

14-day trialCancel anytime60 second setup

Features

Solutions

Tools