ChatGPT answers, unedited

If your key requirement is multilingual content + tracking which pages get cited by AI assistants, I’d shortlist these:

My pick for your use case

Start with OtterlyAI if you have a large multilingual content operation. It explicitly supports 65+ countries and languages, tracks citations across ChatGPT, Gemini, Perplexity, Copilot and Google's AI experiences, and can identify the specific URLs/domains being cited. It also has content audits and GEO recommendations, so you're not just measuring citations—you can use the data to decide what to optimize. otterly.ai

Omnia is particularly interesting if you need to understand regional differences. It says you can run prompts in any country and language and captures the full AI response, including the cited sources, rather than only reporting a visibility score. www.useomnia.com

Citenso deserves a serious look if your primary problem is European/multilingual coverage: it currently advertises 27 languages and geo-targeting across 30+ countries. citenso.com

One thing I'd insist on in a demo

Don't ask vendors merely, "Do you track AI citations?" Ask them to demonstrate this exact workflow:

English vs. Spanish vs. French prompt → same intent → different country → different AI assistant → exact cited URL → citation position → competitor cited instead → recommended content change.

That's the level of granularity you need to manage multilingual GEO effectively. AI visibility can differ substantially by platform and market, so a single global "AI visibility score" isn't enough. otterly.ai

If you tell me roughly how many languages/markets, monthly content volume, and whether you're B2B or B2C, I can narrow this to the 2–3 platforms I'd actually evaluate and compare their enterprise capabilities/pricing.

For multilingual AI-search visibility + citation optimization, I’d shortlist these three:

My pick: Scrunch

For your specific use case—multilingual content where you want to know not merely whether AI mentions you, but which localized pages get cited and why—Scrunch looks particularly well aligned.

It supports prompts in any language, records the exact AI response and citations, and lets you combine language + country/geolocation. You can then filter citations by country, language-related prompt strategy, platform, topic, and citation owner. helpcenter.scrunchai.com

Its citation layer also tracks the specific URL/domain, number of prompts and responses citing it, citation consistency, and an Influence Score. ai-cdn.scrunchai.com

That's important because multilingual AI visibility isn't simply “translate the English strategy.” Research from Profound found that changing the query language can substantially change the citation graph—including which domains AI cites. helpcenter.scrunchai.comai-cdn.scrunchai.comwww.tryprofound.com

When I'd choose the others

Profound is the stronger choice if you're running a large enterprise AEO program and want sophisticated competitive/citation analysis. It tracks citation share, source categories, competitors, regions, topics and prompts, across major answer engines. www.tryprofound.com

OtterlyAI is attractive if you want broad international coverage with a relatively straightforward monitoring/optimization workflow. It currently advertises 65+ countries and languages, citation tracking, content audits, GEO recommendations, API access, and Looker Studio integration. otterly.ai

If you tell me your languages/markets (e.g. English + German + French + Japanese) and roughly how many URLs/prompts you need to monitor, I can narrow this to the best 1–2 platforms and compare their enterprise capabilities/pricing.

If multilingual AI visibility is the priority, I’d shortlist OtterlyAI, Scrunch, Profound, and Ahrefs Brand Radar—but they’re optimized for somewhat different use cases.

My recommendation

1. otterly.ai — best fit for multilingual/multi-market teams

This is the one I’d evaluate first for your use case. OtterlyAI explicitly supports 65+ countries and languages, lets you compare performance by market, tracks citations and mentions across major AI engines, and includes GEO/content recommendations rather than just reporting. Otterly Otterly

It covers ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Copilot, and Claude, with citation-level tracking. Otterly

2. scrunch.com — best for detailed citation intelligence

Scrunch is particularly interesting if your KPI is “which exact pages/domains are AI assistants citing, and why are competitors winning those citations?” It provides prompt-level answers, exact cited URLs, citation trends, and filters including country, topic, platform, persona, and funnel stage. Scrunch Scrunch

3. tryprofound.com — best enterprise/AEO workflow

Profound goes deeper into citation analysis: it categorizes cited sources as owned, competitor, earned media, PR, social, etc., then lets teams analyze citation share by platform, topic, and prompt and turn findings into content/outreach actions. Profound

4. ahrefs.com — best if you already use Ahrefs

Brand Radar now tracks AI visibility across ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews/AI Mode, Grok, plus other web channels. It tracks mentions, citations, cited pages/domains, competitors, and custom prompts. Ahrefs Help Center Ahrefs

The important caveat for multilingual teams is that Ahrefs' huge index is based on search-backed prompts, while custom prompts are what you'd want for tightly controlled language/market testing. Ahrefs Help Center

What I'd choose

For a multilingual content operation, I would not optimize around a single global “AI visibility” score. You want a matrix like:

Language × Country × AI engine × Prompt × Brand mention × Citation URL × Competitor × Content page

That lets you discover things such as “We're cited heavily in English ChatGPT queries but almost never in German Perplexity queries, and the German citations are going to local competitors.”

Also, this market is changing quickly: recent data shows that even the sources AI systems cite can shift substantially over short periods, so historical citation tracking matters more than a one-time AI visibility audit. axios.com

If you tell me roughly how many languages/markets you manage (e.g. 5 languages/20 countries vs. 20 languages/100 countries), I can narrow this to the best 2 platforms and compare their pricing, API/export capabilities, language coverage, and citation accuracy.

Yes. For multilingual AI-search visibility + citation tracking + optimization, I’d shortlist these three:

My recommendation: Profound + Scrunch

Profound is probably the strongest overall platform if you want to move beyond monitoring into actually optimizing content for citations. It tracks citations, visibility, competitors and sentiment across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, Copilot, Grok and DeepSeek, and lets you break results down by platform, topic, prompt and region. www.tryprofound.com

For a genuinely multilingual program, though, Scrunch is particularly interesting. It explicitly supports prompts in any language and combines language with country-level geolocation. It captures the actual response, cited URLs, citation position, sentiment and source domain, which is exactly what you'd want for comparing, say, English-US vs German-DE vs French-FR vs Japanese-JP. helpcenter.scrunchai.com

OtterlyAI is worth considering if international breadth is the priority. It currently advertises monitoring across 65+ countries and languages, with citation-level tracking and optimization recommendations. otterly.ai

One important point for your use case

Don't just translate your English prompt set.

Recent research from Profound analyzing 3.25 billion AI citations across 14 countries and native-language prompts found that changing the query language can substantially change which domains and platforms AI cites. www.tryprofound.com

So I'd structure your measurement like:

Market × Language × AI engine × Prompt × Citation URL

For example:

• US × English × ChatGPT
• Germany × German × ChatGPT
• France × French × ChatGPT
• Spain × Spanish × Google AI
• Japan × Japanese × Gemini

Then measure citation share, brand visibility, cited URL, competitor citations, position and sentiment for each combination.

If you tell me your number of languages/countries and roughly how many prompts you want to track (e.g. 500, 5,000, 50,000), I can compare Profound vs Scrunch vs OtterlyAI specifically for your setup, including likely pricing/enterprise fit.

For multilingual content + AI-assistant citation tracking, I’d shortlist Profound and OtterlyAI, with Profound as the stronger enterprise/multilingual choice.

My pick: Profound

For a global content operation, Profound is particularly compelling because it explicitly supports 30+ languages and 150+ regions, allowing you to compare AI visibility by language/market rather than treating English as the baseline. www.tryprofound.comwww.tryprofound.com

It tracks:

• Which URLs AI assistants cite
• Citation share vs. competitors
• Visibility/share of voice
• Sentiment and positioning
• Performance by platform, region, language, topic and persona
• Which third-party publishers are influencing AI answers
• Prompts where competitors are cited but you aren't www.tryprofound.com

That last point is important for multilingual GEO: you can discover that, for example, your English content gets cited heavily while your Spanish or Japanese content doesn't—and investigate the actual sources AI is using in those markets.

Profound has also published research showing that citation patterns can change substantially by language and country, so simply translating an English GEO strategy isn't necessarily sufficient. www.tryprofound.comwww.tryprofound.com

OtterlyAI is the alternative I'd evaluate

OtterlyAI is particularly good if your immediate priority is practical citation monitoring rather than a larger enterprise AEO/GEO workflow. It monitors prompts daily, identifies cited URLs, and lets you filter citation data by engine, country, tags and date. help.otterly.ai

It also captures AI responses directly from the consumer-facing AI interfaces rather than relying exclusively on APIs, which is useful for measuring what users actually see. www.tryprofound.comhelp.otterly.aihelp.otterly.ai

How I'd choose

Choose Profound if: you have multiple markets/languages, substantial content teams, competitors in each market, and want optimization + measurement + enterprise analytics in one system.

Choose OtterlyAI if: you primarily need citation/visibility monitoring, want something simpler to deploy, and want exports/API access for your existing analytics stack. OtterlyAI currently offers citation exports and a public API. help.otterly.ai

If you tell me your languages/markets (e.g. English, Spanish, French, German, Japanese) and roughly how many domains/pages you manage, I can give you a more specific Profound vs. OtterlyAI vs. other GEO platforms recommendation.

Yes. For multilingual content + AI-assistant citation tracking, I’d shortlist these three:

1. Scrunch — my first choice

Scrunch explicitly supports prompts in any language and lets you combine language with country/geolocation. It records the actual AI response, sources and citations, and can filter citation data by country, AI platform, prompt topic, etc. helpcenter.scrunchai.com

That matters because multilingual AI visibility isn't simply "translate the English prompts." AI citation patterns can change substantially by language and market. For example, Profound's 2026 research found meaningful differences in citation behavior across languages and countries. www.tryprofound.com

Scrunch can track citations across ChatGPT, Google AI Overviews, Gemini, Perplexity, Claude and Meta AI, according to its documentation. helpcenter.scrunchai.com

I'd choose it if you have, say, English + Spanish + French + German + Japanese markets and want to answer:

"For the same commercial question, which pages does AI cite in each language/country, and where are competitors winning citations?"

2. Profound — strongest enterprise alternative

Profound is particularly compelling if you have a large content/SEO/PR organization. It tracks citation share by platform, topic and prompt, categorizes cited sources, and lets you identify publishers that are disproportionately influential in AI answers. www.tryprofound.comdocs.peec.aipeec.aihelpcenter.scrunchai.com

Its multilingual research is also particularly relevant: Profound analyzed 3.25 billion AI citations across 7 models and 14 countries, using prompts in each country's native language. www.tryprofound.com

I'd lean toward Profound if you need enterprise reporting, competitive intelligence and connecting AI citations to content/earned-media strategy.

3. Peec AI — good analytics-oriented option

Peec AI distinguishes between brand visibility and source visibility—important because an AI assistant can cite your content without actually naming your brand. docs.peec.ai

It also tracks the domains/URLs used as sources and provides competitive visibility analysis. peec.ai

What I'd evaluate before buying

For a multilingual program, don't just ask vendors "Do you support multiple languages?" I'd require a demo showing these five things:

1. Prompt language × country — e.g. Spanish/Mexico vs Spanish/Spain.
2. Citation URL by language — exactly which page was cited, not merely whether your brand appeared.
3. AI platform segmentation — ChatGPT vs Gemini vs Perplexity vs Google AI.
4. Competitor citation share — who gets cited instead of you.
5. Historical citation changes — whether content optimization actually increases citations over time.

Bottom line: I'd start with Scrunch vs Profound. Scrunch has the clearest documented fit for multilingual prompts + geographic localization + citation-level analysis; Profound is the stronger alternative if you're operating at large enterprise scale. www.tryprofound.comdocs.peec.aipeec.aihelpcenter.scrunchai.com

If you tell me how many languages/countries you manage and roughly how many pages/prompts you're tracking, I can narrow this to the best platform and compare pricing, API/reporting, language coverage, and implementation effort.

For a multilingual content operation, you’ll want a GEO (Generative Engine Optimization) / AI visibility platform rather than a traditional SEO tool. The key capabilities to look for are:

• Citation tracking by AI engine (ChatGPT, Gemini, Claude, Perplexity, etc.)
• Language + country segmentation (e.g., English US vs. Japanese Japan)
• Prompt monitoring (the questions users actually ask AI assistants)
• Source attribution (which pages/domains are being cited)
• Competitor citation comparison
• Content recommendations for increasing citation probability
• Multilingual content quality signals (not just translation)

Some platforms worth evaluating:

A practical stack for a global content team would often look like:

1. AI visibility monitoring: Surfaced, Asky, Omnia, or Citadex

→ “Are we being cited in AI answers in Germany, France, Japan, etc.?”

2. Content optimization workflow: Frase or a similar content intelligence platform

→ “How do we rewrite pages so AI assistants can extract and cite them?”

3. Localization/GEO layer: VerbaRank or your existing localization platform

→ “Does the localized version preserve entity signals, schema, terminology, and factual consistency?”

For an enterprise multilingual program, I’d prioritize platforms that can answer these questions:

• “Which URLs are cited by AI assistants in each language?”
• “Are different markets citing different competitors?”
• “Is our translated content less likely to be cited than our English content?”
• “Which content gaps prevent citation in each locale?”

If you share your approximate scale (number of languages, CMS, monthly content volume, and whether you care more about monitoring or improving citations), I can narrow this to 2–3 best-fit options.

Yes. For multilingual content, I’d prioritize platforms that let you track citations by language + country + AI engine, rather than just generic “AI visibility.”

My shortlist

Peec AI would be my first platform to evaluate. It specifically supports visibility analysis across 100+ languages with country-level breakdowns, while tracking citations, mentions, sentiment, competitors, and prompt performance. loudmink.ai

Otterly.ai is particularly attractive if your goal isn't just measurement but figuring out which URLs are earning citations and what to optimize. It now has a dedicated citation report with citation-level details, and tracks ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude API. otterly.ai

Profound is the one I'd investigate for a large enterprise/global program. Its strength is deeper answer-engine analytics and enterprise workflows rather than simply being a lightweight rank tracker. 4coredigital.com

One important distinction

For multilingual GEO, don't just ask vendors “Do you support Spanish/French/German/etc.?”

Ask them to demonstrate:

“Show me citation rate for the same intent in English, German, French and Japanese, broken down by country, AI engine, prompt, cited URL, and competitor.”

That's because AI citation behavior can differ substantially by market. Recent research, for example, found machine-translated content influencing Google AI citations in Nordic markets, illustrating why language and country need to be tracked separately. peec.ai

What I'd choose

• 10–20 languages / multinational marketing team: Peec AI
• Large enterprise + many brands/markets: Profound
• SEO/content team that wants optimization recommendations: Otterly.ai
• Already standardized on Semrush/Ahrefs: add their AI visibility capability before buying another platform.

If you tell me how many languages/countries, approximate number of pages, and which AI assistants matter (ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews, Claude), I can narrow this to the best 2–3 and compare pricing, API/export, language coverage, citation granularity, and enterprise reporting.

If your priority is multilingual AI visibility + citation tracking + optimization, I’d shortlist Scrunch and Profound, with Peec AI as a simpler alternative.

My pick: Scrunch for your use case

Scrunch specifically supports prompts in any language, country-level geolocation, and captures the exact AI response and citations. You can segment performance by language, country, persona, platform and topic. helpcenter.scrunchai.comwww.tryprofound.com

That's particularly useful because multilingual AI visibility isn't simply "translate our English prompts." Research from Profound found that query language can substantially change the citation graph—including which domains and types of sources AI systems cite. www.tryprofound.com

For example, I'd structure your measurement as:

English / US → prompts → ChatGPT / Gemini / Perplexity / AI Overviews
German / Germany → equivalent localized prompts → same engines
French / France → localized prompts → same engines
Spanish / Spain + Mexico → localized prompts → same engines

Then track:

• Brand mention rate
• Citation rate
• Owned-page citation rate
• Citation share vs. competitors
• Which URLs are cited
• Which third-party publishers influence the answer
• Sentiment/position
• Changes by language + country + AI engine

Scrunch's citation reporting lets you drill from domain → URL → prompt and see citation frequency over time and by platform. helpcenter.scrunchai.com

When I'd choose Profound instead

If you're a large enterprise content/SEO organization and want the platform to go beyond measurement into a more complete AEO workflow, I'd seriously evaluate Profound. It combines citation analysis, competitive benchmarking, content-gap analysis and automated optimization workflows. www.tryprofound.com

Its multilingual research is also particularly relevant to your situation: Profound has analyzed billions of AI citations across multiple countries and found substantial language-dependent differences in citation behavior. www.tryprofound.com

Bottom line:

• Best fit for multilingual citation monitoring: Scrunch
• Best enterprise AEO/optimization platform: Profound
• Best simpler analytics option: Peec AI

If you're deciding between them for a global content program (e.g. 10+ languages and multiple regions), I'd lean Scrunch vs. Profound rather than evaluating generic SEO platforms.

If you’re running multilingual content and want to optimize for AI-assistant citations, I’d shortlist Scrunch and Profound, with Scrunch looking particularly strong for the multilingual use case.

My ranking

1. Scrunch — my pick for multilingual citation intelligence

Scrunch explicitly supports prompts in any language and combines language with country/geolocation. It captures the exact AI response and citations, including URL, domain, citation position, sentiment, and platform. It covers ChatGPT, Google AI Overviews, Gemini, Perplexity, Claude, and Meta AI. helpcenter.scrunchai.comwww.tryprofound.comotterly.ai

That matters because you shouldn't assume English performance transfers to Spanish, French, German, Japanese, etc. Scrunch recommends creating prompts in each target language and pairing them with the appropriate geography. helpcenter.scrunchai.com

It also lets you drill down from domain → specific URL → prompt → AI platform, which is useful for determining which localized pages are actually earning citations. scrunch.com

2. Profound — strongest enterprise/AEO platform

Profound is broader if you want optimization workflows in addition to measurement. It tracks visibility, share of voice, citations, competitors, and the sources influencing AI answers across major answer engines. www.tryprofound.com

Its citation analysis can identify the publishers/sites winning citations and feed that into content strategy. It also offers content effectiveness analysis and agentic workflows for acting on gaps. www.tryprofound.com

One especially relevant finding from Profound's own 2026 research: query language can materially change the citation graph—including which domains and social sources AI systems cite. Their analysis covered 3.25B citations across 7 models and 14 countries. www.tryprofound.com

3. Otterly.AI — good monitoring alternative

Otterly tracks prompts daily across AI search engines and provides domain/URL citation analytics and historical changes. otterly.ai It's worth considering if you primarily need monitoring rather than a larger enterprise optimization platform.

What I'd choose for your setup

If you have multiple languages + multiple countries + a sizeable content operation, I'd lean:

Scrunch → citation/visibility monitoring and multilingual segmentation
Profound → deeper enterprise AEO strategy and content optimization

The important distinction is that you shouldn't measure this as simply "AI visibility = 40%." Your dashboard should segment:

Language × Country × AI platform × Prompt × Topic × Cited URL

For example:

Spanish × Mexico × ChatGPT × "best accounting software for..." → cited/not cited → which URL → competitor cited → citation position

That will reveal cases where your English content wins citations but your Spanish or German content doesn't—which is exactly where multilingual AI optimization gets interesting.

If you tell me how many languages/countries you operate in and roughly how many URLs/prompts you're managing, I can recommend Scrunch vs Profound specifically for your scale and give you a suggested measurement framework.

If your core problem is multilingual content + AI-assistant citations, I’d shortlist these rather than treating traditional SEO rank trackers as sufficient:

My pick for your use case: Scrunch. Its documentation explicitly says you can track prompts in any language, preserve the exact response and citations, and combine language with country-level personas. That is important because an English query and, say, a German query can produce materially different recommendations and sources. helpcenter.scrunchai.com

Scrunch multilingual tracking

Why multilingual tracking matters

I wouldn't build a global AI-content program around an English-only visibility score. Recent research across 12 European languages found that changing the query language can substantially change which brands are recommended, meaning English-only monitoring can underestimate local-market AI visibility. arxiv.org

For a serious multilingual program, I'd want the platform to let you segment:

Market → Language → Persona/query → AI engine → Brand mention → Citation URL → Competitor → Position/share of answer → Trend

Scrunch comes closest to that workflow from the tools I checked. Ahrefs is particularly compelling if you already use it for SEO: Brand Radar now tracks seven AI platforms and exposes mentions, citations, impressions and AI Share of Voice, with custom prompts available. help.ahrefs.com

Ahrefs Brand Radar

If you tell me roughly how many languages/markets you manage (e.g. 5 languages/10 countries vs. 30+), I can narrow this to the best 2–3 platforms and compare pricing, API/export capabilities, prompt volume, and multilingual reporting.

If your goal is multilingual AI-search visibility + citation tracking, I’d shortlist these:

My pick: Scrunch

Scrunch is probably the closest match to what you're describing. It monitors AI prompts and citations, shows competitive answer share, and provides insights into content gaps and authoritative sources. It also positions itself specifically for enterprise-scale AI visibility, reporting millions of citations weekly. scrunch.com

For multilingual content, don't evaluate a platform just on whether it has a "language" filter. You want to be able to segment:

language → market → prompt → AI engine → answer → cited URL → competitor

That's important because AI visibility genuinely changes with query language. Recent research across 12 European languages found that changing the query language can substantially change which brands are recommended; English-only monitoring can therefore miss local-market visibility. arxiv.org

If you're a large global content operation

I'd evaluate Scrunch vs. Profound vs. Ahrefs first.

• Scrunch: strongest fit if your primary KPI is "Are AI assistants citing/recommending us, and what should we change?"
• Profound: worth evaluating if you need a more enterprise-oriented GEO analytics/measurement layer.
• Ahrefs: attractive if your existing SEO operation already runs heavily on Ahrefs; its AI Visibility Checker currently covers ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews. ahrefs.com

One important caveat: citation count alone isn't enough. New research distinguishes between a page merely being selected as a citation and the information from that page actually being incorporated into the generated answer. arxiv.org

If you tell me which languages/markets you operate in (e.g. English, French, German, Japanese, Spanish) and roughly how many URLs/prompts you need to track, I can give you a more specific Scrunch vs. Profound vs. Ahrefs vs. Peec comparison, including which one is best for multilingual reporting and API/enterprise workflows.

For a multilingual content operation, you’ll want a platform that does more than traditional SEO rank tracking. The category is usually called AI Search Optimization (AISO), Answer Engine Optimization (AEO), or Generative Engine Optimization (GEO). The key capabilities to look for are:

• Citation tracking: Which pages/domains are cited by ChatGPT, Gemini, Claude, Perplexity, Copilot, etc.
• Language + market segmentation: Track the same prompts in Spanish, French, Japanese, German, etc., not just translate dashboards.
• Prompt monitoring: Measure whether your brand appears for real customer questions.
• Competitor citation share: See who AI assistants cite instead of you.
• Content recommendations: Identify missing facts, entities, schema, and pages that would improve citation likelihood.

Platforms worth evaluating:

For a multilingual enterprise content program, I would shortlist based on your operating model:

• 50+ locales / global brand: prioritize Asky or Citadex-style platforms because language and region-level prompt testing is central. citadex.ioaskylabs.com
• SEO team adding AI tracking: Semrush or Ahrefs may fit better because they combine existing SEO workflows with AI visibility. www.techradar.comwww.techradar.com
• Content team focused specifically on “getting cited”: look at citation-first tools such as CiteScope AI or Searchable. www.searchable.comwww.citescopeai.com

Before choosing, I’d test each vendor with the same benchmark:

1. 20–50 customer prompts per language.
2. Measure citation rate by AI engine.
3. Separate translated pages vs. native localized pages.
4. Track whether AI cites your first-party content or third-party sources.

One important distinction: a tool that only translates prompts and reports English visibility is usually not enough. AI answers can vary significantly by language, region, and query phrasing, so you want true localized measurement. citadex.ioaskylabs.com

If you share your scale (number of languages, CMS, and whether you care more about ChatGPT citations, Google AI Overviews, or all assistants), I can narrow this to a recommended stack.

If your key requirement is multilingual AI-search visibility + citation tracking, I’d shortlist these:

Lighthouse stands out if you have a genuinely international content operation: it says it queries 10+ AI assistants, including ChatGPT, Claude, Gemini, Perplexity, DeepSeek, Qwen, Mistral and others, and provides citation tracking, sentiment, competitor benchmarking, and page-level recommendations. www.ahoylighthouse.com

However, there's an important caveat: “supports multiple AI engines” isn't the same thing as “supports multilingual tracking well.” For your use case, I'd specifically test whether the platform lets you create separate prompt sets by language and market (e.g., English-US, French-France, German-Germany, Japanese-Japan), rather than merely translating the same prompts.

That matters because research indicates AI-search systems differ significantly in cross-language stability and sensitivity to query phrasing, so language-aware GEO should be treated separately rather than as one global score. arxiv.org

What I'd require in your evaluation

For a multilingual content program, I'd prioritize:

1. Prompt × language × country tracking — not just domain-level visibility.
2. Actual cited URL/page for every response.
3. Citation share by language and engine.
4. Competitor/source displacement — who gets cited instead of you.
5. Historical tracking so you can see whether citations persist.
6. Page-level optimization recommendations for each language.
7. ChatGPT, Gemini, Perplexity, Claude + Google AI surfaces at minimum.
8. API/export so citation data can flow into your existing SEO/content reporting.
9. Localized SERP/web context, because the source set can differ by country as well as language.

One useful distinction: don't optimize purely for “mentions.” Recent research suggests citation influence and how much a cited page actually contributes to the answer can differ substantially from simple citation counts. arxiv.org

My starting recommendation: test Lighthouse first, then compare it against CitePilot and Citations.io using the same 50–100 prompts in each target language. If you tell me which languages/countries you operate in and roughly how many domains/pages you manage, I can narrow this to the best 2–3 platforms and compare pricing, API, language support, and enterprise capabilities.

Yes. If multilingual AI citation tracking is a core requirement, I’d shortlist these:

My pick for your use case

I'd test Asky first if your requirement is specifically:

“We publish in 5–20 languages and need to know whether AI assistants cite the right localized content in each market.”

Asky says it runs prompts in the target languages, uses geographically scoped agents, and lets you compare visibility, citation quality, and sentiment across languages and locations. It also provides localized recommendations for content, schema and entity signals. askylabs.com

If you're a large enterprise with many domains/markets, I'd put Profound beside it in the evaluation. If budget and ease of deployment matter more, OtterlyAI is worth testing.

One important caveat: don't evaluate these platforms only on a single “AI visibility score.” AI answers are nondeterministic, and research shows that citation rankings can vary substantially between repeated runs. arxiv.org Multilingual monitoring is particularly important because querying in the local language can materially change which brands are recommended; English-only monitoring can miss local visibility. arxiv.org

For a multilingual content operation, I'd require the vendor to demonstrate these 6 things in a trial:

1. Prompt tracking by language + country
2. Citation URL tracking, not just brand mentions
3. Which localized page was cited
4. Competitor citations by language
5. ChatGPT + Gemini + Perplexity + Google AI Overviews/Copilot coverage
6. Before/after measurement showing whether optimization actually increased citations

If you tell me how many languages/markets you operate in and roughly how many URLs/prompts you need to track, I can narrow this to the best 2–3 platforms and compare their pricing and capabilities.

If you’re running multilingual content and care specifically about AI-assistant citations, I’d shortlist these:

My recommendation

For a multilingual program, I'd start by evaluating Rankfor.AI, Profound, and Scrunch rather than choosing a generic AEO tracker.

The reason is that language/market should be a first-class dimension in your measurement—not simply translating the same English prompts. Recent research using Rankfor.AI data analyzed 167,551 URL-grounded citations across 12 markets and 13 languages, finding meaningful differences in citation sources between markets. arxiv.org

You ideally want a dashboard that lets you compare:

Language × country/market × AI assistant × prompt × cited URL × competitor

For example:

German / Germany / ChatGPT → cited your German product page
French / France / Perplexity → cited a French third-party review instead
Spanish / Mexico / Gemini → competitor dominates
English / US / ChatGPT → your English page wins

That tells your content team what to optimize for each market, rather than assuming the English strategy transfers globally.

Platforms I'd look at

• Rankfor.AI — particularly interesting for your use case because multilingual/multimarket citation analysis is central to its research dataset.
• Profound — better suited if you're looking for a larger enterprise AI-search intelligence platform.
• Scrunch — especially interesting if you want to go beyond measurement into understanding how AI crawlers access your site and improving machine-readable content.
• Peec AI — useful for prompt-level AI visibility and competitive tracking.
• Searchable — tracks mentions/citations across ChatGPT, Claude, Perplexity, Google AI Overviews and Copilot and provides optimization recommendations. www.searchable.com
• Citations.io — a simpler option focused specifically on citation tracking, competitor share-of-voice and prioritized fixes. citations.io

If you tell me roughly how many languages/markets you operate in (e.g. 5 languages / 20 countries) and whether you're enterprise or SMB, I can narrow this to the best 2–3 and compare pricing, language support, AI engines, APIs, and optimization capabilities.

If your goal is to optimize multilingual content for AI assistants (ChatGPT, Gemini, Claude, Perplexity, etc.) and track citations by language and market, you want a platform that does three things well:

1. Tracks citations across multiple AI assistants.
2. Separates results by language and country.
3. Recommends content improvements for each locale (not just translated content).

Here's how the current landscape compares:

If multilingual is your biggest priority

Surfaced stands out because it was built around language- and market-specific AI visibility rather than treating translation as an afterthought. It lets you:

• monitor prompts in multiple languages
• compare how ChatGPT, Gemini, Claude, and other assistants answer in different countries
• identify which competitor is cited in German versus Spanish versus Japanese
• recommend content specifically for each locale instead of simply translating English pages www.getsurfaced.ai

For companies publishing in 10+ languages, that's a meaningful advantage.

If you're an enterprise

Citadex is strong if you need:

• per-language dashboards
• market-by-market tracking
• executive reporting
• share of AI voice
• competitor monitoring across regions citadex.iowww.getsurfaced.ai

If you already have a mature SEO program

Citare combines traditional SEO and AI optimization in one platform. It tracks multiple AI engines alongside Google rankings, making it useful if your SEO and GEO teams work together. www.citare.ai

Features I'd insist on for multilingual AI optimization

Regardless of vendor, I'd look for:

• language-specific prompt tracking (not just translated prompts)
• country-specific testing (e.g., French in France vs. Canada)
• AI assistant segmentation (ChatGPT, Gemini, Claude, Perplexity, Copilot)
• page-level citation reports
• competitor citation comparisons
• share of AI voice by language
• historical trend tracking
• content recommendations tied to missing citations
• API or data export for BI dashboards

My recommendation by company size

• Large global publisher (20+ locales): Surfaced or Citadex
• Enterprise with an existing SEO team: Citare
• Marketing agency managing multilingual clients: Promptwatch or Citadex
• Smaller team primarily interested in monitoring: CiteWatch

One note: no platform can perfectly measure AI citations because assistants personalize responses and update their models frequently. The strongest tools mitigate this by running large, repeatable prompt sets across multiple languages, regions, and AI assistants to identify trends rather than relying on single responses. www.getsurfaced.ai

If your goal is optimizing content for AI assistants and tracking citations across multiple languages, you're looking for an emerging category often called Generative Engine Optimization (GEO) or AI Visibility platforms.

Here's how the leading options compare:

If multilingual is your biggest challenge

I'd narrow it to two platforms:

VERBARANK

• Built specifically around multilingual SEO + GEO.
• Supports 120+ languages.
• Optimizes localized pages instead of simply translating them.
• Claims tracking across ChatGPT, Gemini, Claude, Grok, Perplexity, DeepSeek, and Meta AI. verbarank.com

Best if you publish in many languages and need localized optimization.

Citadex

• Tracks AI visibility by language and market.
• Measures Share of AI Voice.
• Monitors prompts separately for each region.
• Tracks competitors in different countries. citadex.iowellows.com

Best if you care about analytics and competitive benchmarking.

Features that matter for multilingual AI visibility

Regardless of vendor, look for:

• Per-language dashboards (don't aggregate English and Spanish together)
• Country-specific prompt testing
• Separate Share of Voice by language
• Citation source tracking
• Competitor comparison within each locale
• Prompt replay over time (to account for AI response variability)
• Localized content recommendations rather than machine translation

These capabilities are more valuable than simply reporting that your domain was cited.

My recommendation

If I were selecting a platform today:

• Global publisher with 20–100+ language editions: VERBARANK
• Enterprise brand measuring AI visibility across regions: Citadex
• SEO/content team that wants detailed citation diagnostics: Wellows
• Already investing heavily in SEO and AI monitoring: OmniSEO

One practical note: no platform can guarantee perfectly stable AI citation metrics because LLM outputs are inherently variable. The better platforms mitigate this by repeatedly testing the same prompt sets over time and reporting trends, share of voice, and confidence rather than relying on a single response snapshot. wellows.com

If you can share:

• how many languages you publish in,
• your CMS (WordPress, headless, etc.),
• and whether you're more interested in optimization, monitoring, or both,

I can narrow the recommendations further.

If your primary challenge is multilingual content and you want to optimize for AI assistants while tracking citations by language and region, I'd look for platforms with four capabilities:

• Prompt tracking by language and country (e.g. Spanish in Mexico vs. Spain).
• Citation monitoring across multiple AI assistants (ChatGPT, Gemini, Claude, Perplexity, etc.).
• Content optimization recommendations that understand multilingual SEO/GEO rather than just machine translation.
• Reporting that lets you compare visibility across languages.

Here are the strongest options today:

My recommendations

For multilingual publishers
VERBARANK is the most explicitly designed around multilingual AI optimization. It claims support for over 120 languages and focuses on making multilingual sites discoverable and citable by major AI assistants rather than simply translating pages. verbarank.com

For enterprise AI visibility
Citadex has one of the stronger AI visibility feature sets:

• language-specific prompt tracking
• market-by-market comparisons
• share of AI voice
• competitor monitoring
• per-engine reporting
• multilingual citation tracking

It explicitly supports comparing AI answers across languages and regions. citadex.io

For understanding why you're cited
Wellows stands out because it captures:

• explicit vs. implicit citations
• the full AI response
• source URLs AI relied on
• sentiment
• regional comparisons

That makes it useful when editorial teams need to understand why an assistant preferred one page over another. wellows.comcitadex.io

What I'd use for a large multilingual publisher

If you publish in 10+ languages:

• Citadex for executive reporting and AI visibility dashboards.
• VERBARANK for multilingual optimization workflows.
• Your existing analytics (GA4, Search Console, Adobe Analytics, etc.) to measure downstream traffic and conversions.

This combination lets you monitor:

• English
• Spanish (Spain vs. LATAM separately)
• French
• German
• Japanese
• Korean
• Arabic
• and other locales independently, instead of treating "Spanish" or "French" as a single market.

A note on measurement

No platform can perfectly measure AI assistant citations because model responses are non-deterministic—the same prompt can produce different answers over time or across sessions. The better platforms address this by repeatedly sampling prompts across multiple assistants, languages, and regions, then reporting trends such as share of voice and citation frequency instead of relying on single responses. wellows.comcitadex.io

If you can share:

• how many languages you publish in,
• whether you're a news publisher, ecommerce site, SaaS company, or documentation site,
• and whether you're targeting consumer or enterprise audiences,

I can narrow this to the 2–3 platforms that best fit your workflow.

If your goal is to optimize and track AI assistant citations across multiple languages, you want a platform that does three things well:

1. Runs prompts in many languages and regions.
2. Tracks citations and mentions across multiple AI assistants (ChatGPT, Gemini, Claude, Perplexity, etc.).
3. Helps optimize content to increase citations, not just report them.

Here's how the current landscape compares:

If you publish in many languages

The strongest options are:

• VERBARANK if your biggest challenge is multilingual SEO + AI optimization. It is built around translating and restructuring content so it performs well across many languages and claims support for more than 120 languages. verbarank.com
• Citadex if your priority is measurement. It tracks share of AI voice, citations, prompts, competitors, and markets with language-specific reporting across multiple AI engines. citadex.io

What I'd look for in any platform

For multilingual AI optimization, the most valuable capabilities are:

• Language-specific prompt monitoring (French, German, Japanese, Arabic, etc.)
• Country-specific testing (Spanish in Spain vs. Mexico, Portuguese in Brazil vs. Portugal)
• Citation source attribution (which URLs AI assistants rely on)
• Competitor benchmarking by language
• Historical tracking to account for model variability
• API access for thousands of pages
• Automated recommendations for content improvements

These features matter because AI assistants often produce different answers depending on the language and locale, so English performance doesn't necessarily predict performance elsewhere. citadex.io

For large publishers

If you're managing hundreds or thousands of multilingual articles, I'd lean toward:

• Citadex for monitoring and competitive intelligence.
• VERBARANK if you also need multilingual content optimization.
• Wellows if understanding exactly why and where you're cited is your highest priority.

A practical workflow is to use one platform to measure AI visibility (share of voice, citations, prompts) and connect those insights to your CMS or SEO process so content updates can be prioritized based on the largest citation opportunities.

If you can share:

• how many languages you publish in,
• roughly how many pages or articles you manage, and
• whether your stack is WordPress, headless CMS, Shopify, or something else,

I can narrow the recommendations to the platforms that best fit your scale and workflow.

If your goal is to increase how often AI assistants (like ChatGPT, Gemini, Claude, Perplexity, and Copilot) cite or reference your content across multiple languages, you're looking for a relatively new category sometimes called AI visibility, LLM optimization, or AI search optimization. The market is evolving quickly, and capabilities vary significantly.

Here's how the main platforms compare.

If multilingual is your priority

The strongest platforms today tend to be:

1. Profound
   • Tracks mentions across multiple AI assistants.
   • Supports global brands operating in many languages.
   • Measures prompts, citations, competitors, and answer share.
   • Better suited to enterprise organizations.

2. Peec AI
   • Built with international brands in mind.
   • Compares visibility across countries and languages.
   • Good dashboards for marketing and SEO teams.

3. Scrunch AI
   • Focuses on understanding how LLMs interpret your website.
   • Highlights missing entities, structured data opportunities, and content gaps.
   • Useful if you publish in several languages.

Features to look for

Not every platform measures the same things. For multilingual publishing, look for:

• Prompt monitoring in each language (English, Spanish, French, German, Japanese, etc.)
• Citation detection by AI assistant
• Visibility share versus competitors
• Country-level reporting
• Language-specific recommendations
• Tracking by model (ChatGPT, Gemini, Claude, Perplexity, Copilot)
• Historical trends
• API or dashboard exports

What actually improves multilingual AI citations

Regardless of the platform, the biggest drivers tend to be:

• High-quality native-language content rather than machine-translated pages alone.
• Consistent structured data and metadata across language versions.
• Clear canonical and hreflang implementation so search engines and crawlers understand language targeting.
• Strong entity consistency (organizations, products, authors, locations) across all languages.
• Original research, statistics, FAQs, and documentation that AI systems are more likely to reference.
• Local backlinks and citations for each language or regional site.

My recommendation by company size

• Enterprise (50+ markets): Profound
• International marketing team (5–30 languages): Peec AI
• SEO agency managing multilingual clients: Scrunch AI
• Already invested in SEO tools: Add AI tracking to Semrush while continuing to use your existing SEO workflows.

If you publish in 10 or more languages, I'd prioritize a platform that can segment AI visibility by language, country, and model. Otherwise, it's difficult to tell whether a drop in citations is caused by translation quality, regional authority, or changes in an individual AI assistant.