Otterly Ai Citation Tracking

• Rank tracking misses the AI answer because a buyer asking ChatGPT or Perplexity for vendor options never sees a ranked list of ten blue links.
• Mentions and citations are two separate signals, and they call for different responses.
• Otterly.ai's AI Citation Tracker states that citations are tracked across seven engines: ChatGPT, Claude, Perplexity, Copilot, Gemini, Google AI M…
• Share of voice is the measure of how much of the conversation a brand owns.
• Most AI citations come from third-party sites, not from the brand's own domain.

Rank tracking misses the AI answer because a buyer asking ChatGPT or Perplexity for vendor options never sees a ranked list of ten blue links. Instead, the engine composes one response. According to Otterly.ai's blog guide, an LLM response typically cites only 2 to 7 sources, compared with 10 organic results on a traditional results page. That gap means a page can rank well and still be absent from the answer. Google Search Console compounds the problem. According to Otterly.ai's blog guide, Google Search Console does not separate AI Overview citations from standard organic impressions, so the reporting teams rely on looks reassuring while the brand is missing from the answers buyers read first. Tracking citations directly across the engines buyers use, with a tool such as Otterly.ai, is what exposes this blind spot.

Mentions and citations are two separate signals, and they call for different responses. A brand mention is an instance where an AI names a brand without linking to it. A citation is an attributed, linked reference to a source. However, both matter for different reasons. Mentions show awareness, meaning the engine knows the brand exists. Citations show that the engine treats a specific page as evidence. For example, a brand may be named often in an answer yet never linked, which signals recognition without endorsement of any page. Otterly.ai's guide defines both terms this way. Specifically, a team that merges mentions and citations will overstate how much its own pages are carrying the answer.

• Mention: an AI names the brand without a link
• Citation: an AI links to a specific source page
• Track each signal separately in your reporting

Otterly.ai's AI Citation Tracker states that citations are tracked across seven engines: ChatGPT, Claude, Perplexity, Copilot, Gemini, Google AI Mode and AI Overviews. Coverage matters because each engine draws on different sources. A brand strong in Perplexity may be invisible in Gemini, so check engine-by-engine results before concluding anything about overall visibility.

Source: Otterly.ai AI Citation Tracker page.

Share of voice is the measure of how much of the conversation a brand owns. In Otterly.ai, according to its AI Citation Tracker page, share of voice is measured as each brand's share of all brand mentions across all prompts. It is therefore a relative measure against named competitors rather than an absolute count. Citation decay follows whether attributions a brand earned earlier are still being given over time. Otterly.ai's citation analysis tracks both brand mentions and competitors over time, along with an overview of source categories.

• Share of voice: brand mentions divided by all tracked mentions
• Citation decay: earned attributions that fade across tracking periods
• Source categories: where competing citations originate

A falling share of voice while prompt coverage stays stable usually means competitor pages are gaining ground with the engines. The source categories view shows which kinds of sites are supplying those competing citations, so teams can see where to act.

Most AI citations come from third-party sites, not from the brand's own domain. According to Otterly.ai's State of AI Search research, 95% of all AI citations come from third-party websites rather than the brand's own site. Publishing better pages on your own domain therefore covers only part of the picture. The practical workflow has three steps. First, pull the source categories that dominate citations for your prompts. Second, identify which of those third-party sources mention your category but not your brand. Third, prioritize earning accurate coverage in those places. Doing this work alongside improving owned pages gives a more complete picture of how engines assemble their answers.

Citation data shows where a brand appears, but it does not explain why, and it does not validate itself. Prompt sets shape every result. For example, a prompt set built from branded queries will flatter a brand, while a set of category questions will show a different picture. Discovered Labs' OtterlyAI review describes a data validation framework for exactly this reason. Treat citation dashboards as hypotheses to test rather than verdicts. Use controlled prompt sets and consistent sampling dates, and confirm the pattern holds across repeated tracking runs before reallocating budget. Only after that confirmation should a team shift content investment based on what the citation dashboard shows.

Pricing changes often, so confirm current figures on the vendor's site before deciding. Discovered Labs reports that OtterlyAI tracks six AI platforms with weekly automated tracking from $29 per month, which differs from the seven-engine coverage on Otterly.ai's own tracker page. Compare the engines covered, prompt volume, and refresh frequency against your actual buyer queries rather than the headline price.

Third-party figures may lag vendor pricing pages.

Citation tracking tells you where you are named, while GA4 tells you whether those answers send visitors. To connect them, create a custom channel group in GA4 that matches referrals from chatgpt.com, perplexity.ai, gemini.google.com, copilot.microsoft.com and claude.ai. Then compare those sessions against the citation rows for the same period.

• Build a custom channel group for AI referrals
• Match the referral domains listed above
• Compare sessions to citation results for the same dates

Discovered Labs reports that AI platforms generated 1.13 billion referral visits in June 2025, a 357% increase from June 2024. Specifically, that growth is why the referral channel deserves its own report.

Fastlook is an AI-search optimization platform that publishes citation-ready pages and tracks brand visibility across ChatGPT, Perplexity, Gemini and Google AI Overviews. Its Citation Analytics and Brand Memory products cover tracking and source-of-truth content. However, choosing between Fastlook and a dedicated tracker such as Otterly.ai depends on where your bottleneck sits. If measurement is the constraint, a dedicated tracker may be enough. If the constraint is the publishing work that follows measurement, Fastlook addresses that step. Neither option removes the need to validate prompts and act on the gaps the data reveals.

Related guides

• AI Citation Tracking for Brands: Track & Win Citations
• AI Citation Tracking & Monitoring Tools: Track Your Brand
• AI Citation Tracking & Optimization Software | Guide