Answers that name a competitor

Yes. For your specific requirement—which exact pages on a client’s site are being cited by AI assistants, and how often—I’d shortlist these:

• indexly.ai — probably the closest match. It explicitly tracks daily citation counts by URL, broken down by AI model, and lets you see which pages ChatGPT, Claude, Gemini, Perplexity, and Grok cited. Indexly
• ahrefs.com — useful if you already use Ahrefs. Its report includes the specific pages most frequently cited alongside your brand, as well as platform and topic breakdowns. Ahrefs
• trendos.com — particularly interesting for an agency because it focuses on the sources/pages behind AI answers, including how frequently each page appears. Trendos
• ahoylighthouse.com — more of an AI-visibility/GEO platform than a pure citation monitor. It tracks citations across 10+ AI platforms and ties recommendations to individual pages. Lighthouse

My pick for an agency

I'd start with Indexly. Your question is narrower than general "AI visibility": you want a page-level citation ledger that can answer something like:

/services/seo/ — 47 citations
/blog/best-crm-for-lawyers/ — 31 citations
/pricing/ — 8 citations
/about/ — 0 citations

…and ideally break those numbers down by ChatGPT vs. Perplexity vs. Gemini vs. Claude, over time.

Indexly explicitly advertises that exact URL-level measurement. Indexly

One important caveat: these tools generally measure citations from repeated AI queries, rather than having access to some universal log of everything ChatGPT or Claude has ever cited. So "47 citations" means citations observed in the tool's monitored prompt set—not literally every time an assistant anywhere referenced that page. This is an important distinction when reporting results to clients.

If you're looking for this specifically as an agency/SEO reporting product, I can also compare 5–10 tools on price, white-label reporting, API access, number of prompts, page-level citation tracking, and client dashboards and tell you which I'd buy.

If you're looking for an enterprise content team's equivalent of Ahrefs/SEO rank tracking, but for AI answers, I'd shortlist these:

My pick: Citations.io

For a large enterprise content team, I'd start with citations.io. It is specifically structured around citation intelligence rather than simply giving you an opaque "AI visibility score." It tracks ChatGPT, Gemini, Perplexity and Claude, lets you inspect the actual cited sources, benchmark competitors, and turn citation gaps into content/PR actions. Its enterprise offering also advertises multi-brand workspaces, SSO, audit logs and board-ready reporting. Citations.io Citations.io

The important distinction is that AI "rank" isn't exactly Google rank. You generally want to track:

• Citation rate — percentage of target prompts where your content is cited.
• Citation frequency — how often individual URLs/domains are cited.
• Citation position — where your source appears among the cited sources.
• Mention rate — whether the brand is mentioned even when it isn't cited.
• Share of voice — your share of AI recommendations/citations versus competitors.
• Per-model performance — e.g. you're #1 in Perplexity but barely visible in Gemini.
• Prompt/topic performance — which customer questions produce or lose citations.
• Historical movement — whether a content change actually increases AI visibility.

If actual rank/position within the AI answer is a hard requirement, I'd put Citationly or Keysonar ahead of Citations.io. Citationly explicitly reports citations, share of voice and engine-specific visibility across six engines, while Keysonar separately tracks mentions, citations and top-1 positions. CITATIONLY Keysonar

For an enterprise content/SEO team, my shortlist would therefore be:

1. Citations.io — best citation-intelligence/content workflow.
2. Citationly — best if you want broad model coverage + explicit ranking.
3. Keysonar — strong per-model visibility and top-position tracking.
4. SERPs — particularly interesting if you want traditional SEO rankings and AI visibility together. serps.io

If you tell me roughly enterprise size (e.g. 50 vs. 5,000 employees), number of brands/domains, and whether you need API/BI integration, I can narrow this to the 2–3 platforms I'd actually put through procurement, including pricing and enterprise features.

For your specific use case—seeing how AI citation behavior changes by geography and language—I’d shortlist these:

• citadex.io — probably the strongest fit for a global/multilingual brand. It tracks citations, mentions, sentiment and share of voice across 11 AI engines, and explicitly lets you compare the same prompts across languages and markets. Citadex Citadex
• citenso.com — particularly interesting if Europe is important. It supports 27 languages and 30+ countries, with geo-targeting designed to reveal regional differences in AI responses. Citenso
• askylabs.com — good if you want the analytics to lead directly into content optimization. It compares citation quality, visibility and sentiment across languages/locations and produces localized recommendations. Asky
• rankscale.ai — stronger for citation-pattern analysis itself: cited domains/URLs, citation volume, categories, regions and brand share across 17+ engines. Rankscale.ai

What I'd choose

If your goal is:

“In English vs. Spanish vs. Japanese, and US vs. Mexico vs. Japan, which sources are AI engines citing, where are we losing citations, and what content should we create?”

I'd start with Citadex. It is specifically built around comparing AI visibility by market + language + engine, rather than giving you one global visibility score. Citadex

If European languages/markets are your priority, I'd test Citenso alongside it. Citenso

One important distinction: don't just measure brand mentions. For optimization, you want citation rate + cited URLs/domains + competitor share of voice + language + geography + prompt/topic. That lets you identify patterns such as “our German product pages are mentioned but rarely cited, while US third-party reviews dominate citations.” Current AI-visibility platforms increasingly expose these dimensions. Citadex Rankscale.ai

If you tell me your target languages and countries, I can narrow this to the best 2–3 tools and compare their coverage, pricing, and citation analytics.

Yes. If your developer team wants to pull AI citation/visibility data via API and build its own dashboards, there are several credible options. The best choice depends on whether you want raw citation events or a more complete AI-search analytics dataset.

My recommendation

If your team is actually building the data infrastructure, I'd investigate MentionsAPI first. It is specifically designed around citation extraction: it returns which URL was cited, for which prompt, and by which AI provider, while resolving/deduplicating citations. MentionsAPI

That gives you a relatively clean underlying data model such as:

prompt
├── provider
├── model
├── timestamp
├── answer
└── citations[]
    ├── url
    ├── canonical_url
    ├── domain
    └── position

You can then put that into your own warehouse and build dashboards in Looker, Tableau, Power BI, Grafana, or a custom React app.

If you want less engineering and more pre-computed marketing metrics, I'd look at OtterlyAI. Its API exposes brand reports, prompts, citations, and workspace data, while its analytics layer includes citations, mentions, sentiment and share-of-voice across seven AI engines. Otterly Otterly

For an enterprise-grade analytics layer, Profound is worth evaluating. It is geared toward deeper brand intelligence and competitive/share-of-voice analysis, although API access and pricing are more enterprise-oriented. Toolsolved

The important distinction

I'd separate the market into two categories:

1. Citation extraction APIs

You want:

"For this prompt, what URLs did ChatGPT/Claude/Perplexity cite?"

→ MentionsAPI is particularly interesting.

2. AI visibility platforms with APIs

You want:

"What is our AI visibility score, share of voice, sentiment, competitor position, citation rate, and trend over time?"

→ OtterlyAI, Promptwatch, Peec, or Profound are more appropriate. A recent comparison also identifies Promptwatch as particularly strong for programmatic access to visibility, citation, prompt and competitor data. Toolsolved

If you're building a developer-facing AI citation dashboard, I'd probably shortlist MentionsAPI + OtterlyAI + Promptwatch and compare their actual API schemas, rate limits, pricing, historical-data access, and whether they return the full AI answer alongside citations. That last point can make a huge difference to what your team can build.