ChatGPT answers, unedited

If you run multilingual content and specifically care about AI-assistant citations, I’d shortlist Scrunch, Profound, and Peec AI. They overlap, but their strengths differ.

For your use case, I'd look closely at Scrunch

Scrunch explicitly supports prompts in any language, and lets you combine language with country-level geolocation. It records the AI response, sources, URLs, citations, platform, and persona context. Scrunch Help Center Scrunch

That matters because you don't just want to know "are we visible in AI?" You want to answer questions like:

• Does our Spanish content get cited when users ask ChatGPT in Spanish?
• Which URLs get cited for French vs. German vs. English prompts?
• Are local competitors getting cited instead?
• Which third-party publishers are influencing AI answers in each market?
• Did an optimization actually increase citation frequency?
• Does citation behavior differ between ChatGPT, Gemini, Perplexity, Claude, and Google AI?

Scrunch's citation analytics can be filtered by country, persona, topic, platform, prompt tags, and citation owner, and it exposes individual cited URLs rather than just a generic visibility score. Scrunch Help Center Scrunch

Profound is particularly interesting for multilingual research

Profound has published research specifically examining how query language changes AI citation patterns, using 3.25 billion citations across 7 models and 14 countries. Its platform also provides citation share by region and categorizes cited sources, which is useful if your optimization strategy includes earning citations from local publishers, institutions, UGC, etc. Profound Profound Help Center

Peec is worth considering if you want simpler reporting

Peec tracks visibility, position, sentiment, share of voice, and the sources/citations behind AI answers across major engines. It also recently added AI referral analytics, connecting AI visibility with actual traffic, engagement, conversions and revenue by assistant, country and landing page. Peec AI Peec AI

My practical shortlist:
Scrunch if citation-level multilingual monitoring is the core requirement; Profound if you want deeper source/citation intelligence and localization research; Peec if you want visibility + citations + downstream AI traffic in a relatively straightforward marketing analytics workflow.

If you tell me how many languages/countries you manage and roughly how many URLs/prompts you need to track, I can compare these three specifically on coverage, API/reporting, localization, citation accuracy, and likely enterprise cost.

If your priority is multilingual content + tracking which URLs AI assistants actually cite, I’d shortlist these platforms:

My practical take

OtterlyAI is probably the first one I'd evaluate for your use case. It explicitly supports 65+ countries and languages, lets you segment AI visibility by market, and tracks the actual URLs cited in AI answers. It covers ChatGPT, Google AI Overviews/AI Mode, Gemini, Perplexity, Copilot and Claude. Otterly Otterly

That combination is important because you don't just want to know "are we mentioned?" You want something closer to:

Language → market → prompt → AI engine → brand mention → cited URL → competitor cited instead → content/action to improve

Otterly also provides content audits and GEO recommendations rather than stopping at measurement. Otterly

Profound is worth testing alongside it if you're an enterprise organization and source-level citation intelligence, larger-scale monitoring, and enterprise controls matter more than simplicity. Independent 2026 comparisons put Profound toward the enterprise end of the market. Marqeable SEO Counselors

One thing I'd specifically test in demos: don't accept “supports 100 languages” as sufficient. Ask vendors to demonstrate the same 20–50 prompts in, say, English, German, French, Japanese and Spanish and show you the actual cited URLs by language/market. Multilingual AI visibility can differ substantially even when the underlying topic is identical.

If you tell me roughly how many languages/markets, domains, and prompts you need to track, I can narrow this to 2–3 platforms and compare their pricing, API/reporting, citation accuracy, and multilingual capabilities.

For a multilingual content operation, you’ll want an AI visibility / Generative Engine Optimization (GEO) platform that can do more than track mentions. The key capabilities are:

• Citation tracking: Which AI assistants cite your pages, competitors, or third-party sources.
• Language + market segmentation: Compare AI answers by language, country, and query variant.
• Prompt monitoring: Track the real questions customers ask in each market.
• Source attribution: See which domains AI systems rely on.
• Optimization workflow: Turn citation gaps into content, schema, PR, or technical recommendations.

A few platforms worth evaluating:

What I would prioritize for a multilingual content team

1. Language-level dashboards

• Example: “Why are we cited in English ChatGPT answers but missing in Japanese or German answers?”
• Avoid tools that only give a single global visibility score.
• Prompt libraries by market

• Maintain separate tracked queries: - English: “best enterprise translation software”
• French: “logiciel de traduction professionnel”
• Japanese: localized customer questions, not literal translations
• Citation source analysis

• You need to know whether AI assistants cite: - your localized pages
• your global pages
• Wikipedia/Wikidata
• review sites
• local publishers
• competitors
• CMS and localization workflow integration

• The best systems should feed findings back into: - content briefs
• localization queues
• schema fixes
• digital PR campaigns

A practical shortlist

• Enterprise / many languages: Citadex, Citationly, Intendity Citadex CITATIONLY Intendity
• Content marketing + optimization workflow: Cliro, ForestSEO Cliro Forest SEO
• Early-stage testing: run a smaller pilot with 50–100 prompts across your top 3–5 languages before buying an enterprise platform.

One caution: AI citation tracking is still a newer category, so I would test vendors against your own multilingual prompts rather than relying only on their reported “visibility score.” The important metric is not just “are we mentioned?” but “which localized sources cause AI assistants to trust and cite us?”

If your priority is multilingual AI-search visibility + citation tracking, I’d shortlist Profound and Peec AI, with Profound as my first choice for a large multilingual content operation.

Why I'd lean Profound

Profound tracks citations, visibility, share of voice, sentiment and positioning across major answer engines, including ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude and Copilot. It also lets you analyze citation share by platform, topic and prompt and identify which third-party sites are influencing AI answers. Profound Profound

For multilingual content specifically, this matters because query language can materially change the citation landscape. Profound's 2026 research analyzed 3.25 billion AI citations across 14 countries and found that language can substantially change which domains get cited. Profound

Profound also supports regional analysis, so you can compare something like:

English / US → French / France → German / Germany → Spanish / Spain → Japanese / Japan

rather than treating "AI visibility" as one global number. Profound Help Center

Where Peec is particularly attractive

Peec has a very clean model for separating brand mentions from actual source citations. It can show whether your URL was merely mentioned, explicitly cited, or used as a source, down to the domain/URL level. It also supports filtering by model, country and prompt tags, which is useful for multilingual programs. Peec AI Peec AI

It tracks ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity and Copilot, with additional models available on higher tiers. Peec AI

Peec also recently added AI referral analytics, connecting AI visibility to actual sessions, conversions and revenue by assistant, landing page and country. Peec AI

My recommendation

If you're running hundreds/thousands of localized pages across multiple countries, I'd evaluate Profound first because it is more oriented toward enterprise AEO workflows and turning citation gaps into content/action plans.

If your team wants something simpler and more analytics-oriented, I'd test Peec alongside it.

The key thing I'd demand in a demo is not just "does it support multiple languages?" but:

• Can we track the same intent in 10+ languages?
• Can we distinguish language vs country vs AI engine?
• Can we see exact URLs cited, not merely brand mentions?
• Can we identify competitor citations we're missing?
• Can we measure citation share by language/market?
• Can we connect citation changes to specific content changes?
• Can we export the data into our BI stack?

For Peec specifically, the latter is well covered: it offers CSV, Looker Studio, API and MCP integrations. Peec AI

If you tell me how many languages/countries you operate in, approximate number of pages, and which AI assistants matter most (ChatGPT, Gemini, Perplexity, AI Overviews, etc.), I can give you a Profound vs Peec vs other platforms comparison specifically for your setup, including likely implementation complexity and what I'd buy.

Profound also supports regional analysis, so you can compare something like:

English / US → French / France → German / Germany → Spanish / Spain → Japanese / Japan

rather than treating "AI visibility" as one global number. Profound Help Center

Where Peec is particularly attractive

Peec has a very clean model for separating brand mentions from actual source citations. It can show whether your URL was merely mentioned, explicitly cited, or used as a source, down to the domain/URL level. It also supports filtering by model, country and prompt tags, which is useful for multilingual programs. peec.ai peec.ai

It tracks ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity and Copilot, with additional models available on higher tiers. peec.ai

Peec also recently added AI referral analytics, connecting AI visibility to actual sessions, conversions and revenue by assistant, landing page and country.

My recommendation

If you're running hundreds/thousands of localized pages across multiple countries, I'd evaluate Profound first because it is more oriented toward enterprise AEO workflows and turning citation gaps into content/action plans.

If your main requirement is multilingual content + tracking which pages get cited by AI assistants, I’d shortlist Scrunch AI and OtterlyAI, with Profound worth considering for a larger enterprise operation.

My ranking for your use case

1. scrunchai.com — best fit for multilingual citation analysis

• Supports prompts in any language and lets you combine language with country/geography.
• Tracks the exact AI responses and citations across ChatGPT, Google AI Overviews, Gemini, Perplexity, Claude and Meta AI.
• You can filter citation performance by country, topic, platform, persona and prompt, which is particularly useful if you have separate English, Spanish, French, German, etc. content strategies. Scrunch Help Center Scrunch
• Its citation view goes down to the URL level, so you can see which localized pages are actually being used as sources. Scrunch
• otterly.ai — best if you want optimization + monitoring in one workflow

• Covers 65+ countries/languages and tracks citations, mentions, share of voice and competitors.
• Its GEO/content-audit functionality goes beyond measurement and provides recommendations for improving AI visibility. Otterly Otterly
• Good choice if your team wants a relatively straightforward dashboard for "Which localized content is being cited, where are competitors winning, and what should we fix?"
• Profound — worth evaluating for enterprise-scale programs

• I'd put this on the enterprise shortlist if you need deeper analytics, larger-scale monitoring and sophisticated reporting. Current comparisons generally position Profound toward enterprise depth, versus Otterly's lighter-weight approach. Lyra Pressfit.ai

What I'd choose

For a company publishing the same content strategy across many languages, I'd lean Scrunch if citation intelligence is the priority.

The important distinction is that you don't just want a tool that says:

"Your brand appeared in ChatGPT 42% of the time."

You want something that can answer:

"For Spanish queries in Mexico, which URLs are ChatGPT/Perplexity/Gemini citing, which competitors are cited instead, and which of our Spanish pages should we improve?"

Scrunch appears particularly strong for that combination of language + geography + prompt + AI engine + exact cited URL. Scrunch Help Center Scrunch

If optimization recommendations and content audits matter as much as tracking, I'd choose OtterlyAI instead. Otterly

If you tell me roughly how many languages/markets you manage (e.g. 5 languages / 30 countries) and whether you're B2B, ecommerce, or publisher, I can give you a tighter Scrunch vs. Otterly vs. Profound comparison, including which one I'd buy for your setup.

If you run multilingual content and want to optimize for AI assistant citations (ChatGPT, Gemini, Claude, Perplexity, etc.) while tracking performance by language/market, you’re looking for a GEO (Generative Engine Optimization) / AI visibility platform, not a traditional SEO suite.

A shortlist:

What I would evaluate for a multilingual content operation

Prioritize platforms that can:

1. Track the same buyer questions in each market

• Example: “best CRM for startups” in English vs. German vs. Japanese.
• You want to see whether AI assistants cite your localized pages or competitors.
• Show citation source attribution

• Which URL was cited?
• Which competitor replaced you?
• Was the citation from your translated page, your global page, reviews, forums, or third-party sources?
• Separate language performance from country performance

• Spanish in Spain ≠ Spanish in Mexico.
• English in the US ≠ English in Singapore.
• Connect citation losses to content actions

• Missing FAQs
• Weak entity signals
• Lack of structured data
• No authoritative statistics/examples
• Poor localization

Practical stack recommendations

• Enterprise/global marketing team: Surfaced, Citadex, or donguri.ai for monitoring + executive reporting. Surfaced Citadex donguri
• Content production team: Frase plus an AI visibility tracker. Frase
• Heavy localization program (50+ languages): Look at VERBARANK-style multilingual GEO tooling or pair a GEO tracker with your existing translation management system. Verbarank

A key question before choosing: how many languages and markets are you managing (e.g., 5 languages vs. 50+), and are you mainly optimizing owned website content or also tracking brand mentions across third-party sources? That changes the best fit significantly.

Yes. For a multilingual content operation, I’d prioritize platforms that track the same buyer question separately by language + country, capture the actual cited sources, and then turn citation gaps into optimization recommendations.

My shortlist

• scrunchai.com — strongest fit for broad multilingual tracking. It says prompts can be tracked in any language, with the exact AI response, sources, and citations retained; it also supports country-level personas. It covers ChatGPT, Google AI Overviews, Gemini, Perplexity, Claude and Meta AI. Scrunch Help Center
• askylabs.com — strongest if optimization is as important as measurement. It explicitly supports multilingual and geo-specific prompts, citation quality, content gaps, schema/entity recommendations, and before/after measurement. Asky
• rovoki.com — particularly interesting for international SEO/GEO teams. It reports visibility by engine and language, identifies the publications AI cites, and supports 31 languages and 18 countries. Rovoki
• useomnia.com — good enterprise-style monitoring. It tracks prompts in any country/language, stores full AI response snapshots and citations, and uses browser simulation rather than relying solely on APIs. Omnia
• donguri.ai — worth evaluating if you care heavily about market-by-market performance. It measures local-language prompts across 20+ countries and breaks out citation share of voice, competitors and source types. donguri
• indexly.ai — simpler option. It currently advertises 20+ languages and tracks both mentions and clickable source citations, with an API for exporting the data. Indexly

What I'd choose

If you're running serious multilingual content across multiple countries, I'd shortlist Scrunch, Asky, and Rovoki for demos.

The key thing I'd test isn't the headline "AI visibility score." Ask each vendor to demonstrate:

1. Language × country × engine reporting — e.g. German/Germany vs. English/US.
2. The exact prompt and full AI response behind every citation.
3. Which URLs/domains are winning citations when your content loses.
4. Whether optimization recommendations are language-specific, rather than translating an English GEO recommendation.
5. Competitor citation share by market.
6. Historical tracking so you can prove that a content change actually increased citations.
7. Coverage of the AI surfaces your customers actually use, not just API responses.

That distinction matters: the same question asked in Spanish and English can produce different sources and brands, so a single global AI-visibility score can hide major regional gaps. Rovoki donguri

If you tell me your languages/countries (e.g. English, German, French, Japanese across US/EU/Japan) and roughly how many domains/prompts you manage, I can narrow this to the best 2–3 platforms and compare their coverage, optimization features, API/reporting, and likely fit.

For a multilingual content operation, you’ll want an AI visibility / Generative Engine Optimization (GEO) platform that can do more than measure mentions in English. The important capabilities are:

• Track which AI assistants cite your content (ChatGPT, Gemini, Claude, Perplexity, etc.)
• Break results down by language, country, market, and prompt
• Show the exact cited URLs/sources
• Compare against competitors
• Recommend content, schema, entity, and authority improvements
• Capture answer differences between markets (for example, English US vs. German EU vs. Japanese)

Some platforms worth evaluating:

How I would shortlist by use case

• Large enterprise with many regions: start with Omnia or Surfaced. Omnia Surfaced
• SEO/content team trying to increase citations: look at ForestSEO or CiteScope. Forest SEO Citescope AI
• Markets where translation/localization matters heavily: prioritize tools that run prompts natively in each market language rather than simply translating English prompts. Asky and Omnia emphasize this type of localized measurement. Asky Omnia

Before selecting, I’d test vendors with a sample set of your real queries:

1. 50–100 buyer questions per language.
2. Run the same prompts across target markets.
3. Check whether the tool reports: - AI engine
4. language/locale
5. prompt
6. answer snapshot
7. cited source URL
8. citation frequency
9. competitor cited instead of you
10. recommended fixes

For a multilingual publisher, the biggest differentiator is usually not content generation—it is whether the platform can reliably tell you “AI assistant X in market Y cited competitor Z instead of your localized page, and here is why.” Surfaced Omnia

If you share your languages (e.g., EN/DE/FR/JA), CMS (WordPress, Drupal, Adobe, headless), and whether you care more about brand visibility or traffic/conversion, I can narrow this to a smaller shortlist.

Yes. If your key requirement is multilingual content + tracking which sources AI assistants cite + recommendations to improve those citations, I’d shortlist these:

• frase.io — probably the strongest content-optimization + AI visibility combination. It tracks citation share across ChatGPT, Perplexity, Claude, Gemini and Google AI, and is designed for large content teams operating across regions. Frase
• superlines.io — particularly interesting for global enterprises. It tracks AI visibility, citations and source attribution by market and language, across major AI engines. Superlines
• useomnia.com — strong if you want to test prompts in any country/language and inspect the actual AI responses and citations. It stores full response snapshots rather than just aggregate scores. Omnia
• citeralabs.ai — worth considering for a large multinational brand. It explicitly positions itself around tracking brand accuracy across every language and market, with nine AI engines. Citera Labs
• psentry.com — more narrowly focused on multilingual AI visibility, monitoring ChatGPT, Gemini, Perplexity and Claude across languages and markets. psentry
• growbydata.com — interesting for enterprise analytics because it breaks down citation share by region/language/model and identifies the sources AI systems trust. GrowByData

What I'd choose

If you're running a large multilingual content operation, I'd evaluate Frase vs. Superlines vs. Omnia first.

My recommendation: if the goal is not merely "where are we mentioned?" but "which pages are being cited in each language, why are competitors being cited instead, and what content should we change?", start with Frase. If your biggest challenge is global market/language-level AI visibility measurement, I'd put Superlines alongside it in the evaluation. Frase Superlines

If you tell me roughly how many languages/markets you manage (e.g. 10, 30, 100+) and whether you're B2B or B2C, I can narrow this to the 3 best platforms and compare pricing, language coverage, APIs, citation methodology, and enterprise features.

For a multilingual content operation, I’d shortlist Scrunch and OtterlyAI, with Profound worth evaluating if you need enterprise-scale research.

My pick: Scrunch

For your specific use case—multilingual content + optimizing for AI-assistant citations—I'd lean Scrunch.

It can track prompts in any language and captures the exact AI response and citations, while letting you combine language with country/geo. That matters because an English prompt in Germany can produce a very different citation landscape from a German prompt in Germany. Scrunch Help Center Scrunch

Its citation reporting lets you drill from domain → URL → individual prompts, including which competitor or third-party pages are influencing the answer. Scrunch Help Center Scrunch

OtterlyAI is the strongest alternative. It explicitly supports prompts in any language and monitors them in the country context you specify. It covers ChatGPT, Google AI Overviews/AI Mode, Gemini, Perplexity, Claude and Copilot, with citation tracking, competitive benchmarking, content audits and GEO recommendations. Otterly Otterly AI

One particularly useful metric for a multilingual team is citation gap by market: e.g.,

English: 34% of relevant answers cite your content
German: 11%
French: 7%
Spanish: 19%

Then investigate why—missing localized pages, weak local third-party coverage, different competitors, or simply different AI retrieval behavior. Profound's recent research also found that query language can materially change citation patterns. Profound

What I'd require before buying

Don't evaluate these tools just on "AI visibility." For multilingual GEO, make sure the platform can give you:

• Prompt language × country × AI engine segmentation
• Exact cited URL, not just domain-level citation
• Citation frequency and citation position
• Your citations vs. competitors
• Historical citation changes
• Brand mentions and citations separately
• Ability to discover content gaps
• Recommendations for improving pages
• API/CSV/BI export for your existing reporting
• Coverage of the AI engines your customers actually use

If you tell me which languages/countries you operate in and roughly how many domains/pages you manage, I can give you a more specific Scrunch vs. OtterlyAI vs. Profound comparison, including which one I'd choose for your setup.

For your specific use case—multilingual content + optimizing for AI-assistant citations—I'd lean Scrunch.

It can track prompts in any language and captures the exact AI response and citations, while letting you combine language with country/geo. That matters because an English prompt in Germany can produce a very different citation landscape from a German prompt in Germany. Scrunch Help Center Scrunch

Its citation reporting lets you drill from domain → URL → individual prompts, including which competitor or third-party pages are influencing the answer. Scrunch Help Center ai-cdn.scrunchai.com

OtterlyAI is the strongest alternative. It explicitly supports prompts in any language and monitors them in the country context you specify. It covers ChatGPT, Google AI Overviews/AI Mode, Gemini, Perplexity, Claude and Copilot, with citation tracking, competitive benchmarking, content audits and GEO recommendations. otterly.ai help.otterly.ai

One particularly useful metric for a multilingual team is citation gap by market: e.g.,

English: 34% of relevant answers cite your content
German: 11%
French: 7%
Spanish: 19%

Then investigate why—missing localized pages, weak local third-party coverage, different competitors, or simply different AI retrieval behavior. Profound's recent research also found that query language can materially change citation patterns.

What I'd require before buying

Don't evaluate these tools just on "AI visibility." For multilingual GEO, make sure the platform can give you:

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

My pick: OtterlyAI

For your specific requirement, OtterlyAI looks like the strongest fit. It supports monitoring in all languages and lets prompts run in the language you actually provide, with a country context attached. Its platform currently covers 65+ countries/languages. Otterly AI Otterly

More importantly, it tracks the actual URLs cited in AI answers, not just whether your brand was mentioned. You can see citation frequency, URL/link-position changes, competitors, share of voice, sentiment, and recommendations for improving AI visibility. Otterly

It also monitors across ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini, Claude, and Copilot, which is useful if you're trying to build one global reporting layer. Otterly

Why multilingual tracking matters

I wouldn't treat "English visibility × number of languages" as a meaningful global KPI. The language of the query can materially change the citation landscape. Profound's 2026 research across 3.25 billion citations found substantial differences in which sources get cited depending on query language and model. Profound

So I'd structure your measurement roughly as:

• Market: US, UK, France, Germany, Japan, etc.
• Language: English, French, German, Japanese, etc.
• Prompt: the same commercial/question intent translated naturally into each language
• Engine: ChatGPT, Gemini, Perplexity, Google AI, etc.
• Brand visibility: mention / position / share of voice
• Citation visibility: whether you're cited + which URL
• Citation competitor: who gets cited instead
• Content opportunity: which page/source could realistically win the citation

Profound is particularly interesting if you're an enterprise content organization. It supports 30+ languages and 150+ regions, and its citation analysis categorizes sources such as owned content, competitors, earned media, PR, social, and institutions. Profound Profound

If you tell me how many languages/markets you manage and whether you're B2B, ecommerce, media, or SaaS, I can give you a 3-platform comparison including pricing, API/reporting, prompt volume, and which one I'd choose for your stack.

It also monitors across ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini, Claude, and Copilot, which is useful if you're trying to build one global reporting layer.

Why multilingual tracking matters

I wouldn't treat "English visibility × number of languages" as a meaningful global KPI. The language of the query can materially change the citation landscape. Profound's 2026 research across 3.25 billion citations found substantial differences in which sources get cited depending on query language and model.

So I'd structure your measurement roughly as:

If you run multilingual content across multiple markets, I’d prioritize platforms that can separate language + geography + AI engine, rather than a generic GEO score.

My shortlist

• psentry.com — strongest fit for multilingual monitoring. It explicitly monitors how ChatGPT, Gemini, Perplexity and Claude describe/cite a brand in every language and market, with citation rate, mention rate and prompt coverage. psentry
• askylabs.com — strongest if you also want optimization. It supports structured prompts by language and geography, compares citation quality/sentiment across markets, and turns the findings into localized content/schema/entity recommendations. Asky
• useomnia.com — good for rigorous market-level tracking. It supports any country/language and captures full AI-response snapshots, including citations, so you can audit exactly what changed. Omnia
• citenso.com — worth evaluating if language breadth is the priority. It advertises 27 languages and testing from 30+ countries, across ChatGPT, Claude, Perplexity and Gemini. Citenso
• citescopeai.com — simpler citation-focused option. It tracks which URLs get cited by major AI engines and compares your citation rate against competitors. Citescope AI

What I'd choose

For a global content/SEO team, I'd start with PSentry vs Asky:

The important distinction is that you shouldn't just track “Does ChatGPT mention us?” You want a matrix like:

Market × Language × Prompt × AI engine → mention → citation → cited URL → competitor → sentiment → change over time.

For example, English/US and German/Germany can produce materially different AI answers and sources, so aggregating them into one global visibility score can hide problems in individual markets.

If you tell me which languages/markets you operate in and roughly how many domains/brands you manage, I can narrow this to the best 2–3 platforms and compare pricing, API/reporting, language coverage, and optimization capabilities.

Yes. If your priority is multilingual content + tracking whether AI assistants actually cite your content, I’d shortlist these:

My pick: OtterlyAI

For your use case, OtterlyAI looks like the strongest starting point because it combines:

• ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews/AI Mode and Copilot tracking.
• 65+ countries and languages, allowing you to compare visibility by market rather than treating "global" as one number.
• Citation-level tracking — including which URLs/domains AI actually cites.
• Competitor/share-of-voice tracking.
• Content audits and GEO recommendations, so you can go from "we aren't being cited" to "what should we change?" Otterly Otterly

The key thing I'd evaluate in a demo is not just whether they support multiple languages, but whether they actually run the same commercial prompts in each language/market and preserve the citations separately. AI answers can differ substantially between, say, English, German, French and Spanish.

If you're operating at enterprise/global scale, I'd also put Profound into the evaluation alongside Otterly; current comparisons generally position Profound as the deeper enterprise analytics option. bloomiro.com mentionradar.ai

If you tell me which languages/markets you operate in (e.g. English + German + French + Japanese) and roughly how many domains/brands, I can narrow this to the best 2–3 platforms and compare pricing, AI engines, language coverage, citation tracking, and optimization capabilities.

Yes. If your goal is multilingual content + AI-assistant citation tracking + optimization, I’d shortlist these:

My pick for your use case: OtterlyAI

For a multilingual content operation, OtterlyAI looks particularly aligned because it explicitly supports 65+ countries and languages, while tracking ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude. It captures the actual URLs cited, not merely whether your brand was mentioned. Otterly Otterly

That lets you build something like:

Language → country → prompt → AI assistant → brand mention → cited URL → competitor cited → content gap → optimization action

For example:

German / Germany → “best accounting software for SMBs” → ChatGPT → competitor cited → your German comparison page not cited → update page → re-test citation rate.

If you're enterprise/global

I'd put Profound ahead of Otterly if you have a large international content organization and need deeper enterprise-level analysis and governance. Current comparisons characterize Profound as the enterprise-oriented option, while Otterly is generally positioned as the more accessible platform. Lyra Refine AI

One important distinction: don't evaluate these platforms solely on “AI visibility score.” You want citation-level evidence—which URL was cited, for which prompt, in which market/language, by which assistant, and how that changed over time. That is much more actionable for a multilingual SEO/content team. The Rank Masters

If you tell me roughly how many languages/countries, monthly content volume, and whether you're B2B/B2C, I can narrow this to the best 2–3 platforms and compare pricing, API access, language coverage, and citation tracking in detail.

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

My pick: Profound

For your use case, Profound is probably the strongest fit. It can track AI visibility, citations, competitors, regions, and languages, while also providing content optimization workflows. It explicitly supports 30+ languages and 150+ regions. Profound Profound

That matters because multilingual AI visibility isn't simply a translation problem. Profound's 2026 research found that the language of the prompt can materially change which sources AI systems cite. Their study analyzed 3.25 billion citations across seven AI systems and 14 countries. Profound

So I'd structure your measurement like:

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

For example:

• English / US → ChatGPT → "best [category] software" → cited/not cited
• German / Germany → ChatGPT → equivalent German prompt
• French / France → Gemini → equivalent French prompt
• Spanish / Mexico → Google AI Overviews → equivalent Spanish prompt

This prevents a global "AI visibility score" from hiding the fact that you're highly visible in English but poorly cited in German or Japanese.

When I'd choose the others

OtterlyAI is particularly attractive if you want broad international monitoring without going as enterprise-heavy. It says it monitors 65+ countries and languages, tracks every cited URL/domain, and provides content audits and prioritized GEO recommendations. Otterly Otterly

Peec AI is a good choice if you want a cleaner, more straightforward analytics experience. It tracks visibility, position, sentiment, share of voice, prompts and the sources/citations used by AI engines. Peec AI Peec.ai Docs

One important distinction

If by "optimize" you mean actually tell our content team which multilingual pages to change to increase citations, rather than merely report citations, I'd favor Profound. Its platform combines citation analysis with content-gap analysis and optimization workflows. Profound Profound

If you tell me how many languages/markets you operate in and whether you're B2B, ecommerce, media, or SaaS, I can narrow this to the best 2–3 platforms and compare their pricing, language coverage, AI engines, APIs, and reporting capabilities.

Yes. For multilingual content, I’d shortlist platforms that can track AI visibility by country/language + prompt + engine + cited URL, rather than just giving you a global “AI visibility score.”

My shortlist

My first choice for your use case would be OtterlyAI if you need something you can deploy relatively quickly across many languages. It explicitly supports 65+ countries/languages and tracks citations and brand visibility across ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, Copilot and Claude. Otterly Otterly

For a large multinational organization, I'd put Profound and Searchable into the enterprise evaluation. Searchable specifically describes telemetry across models, markets and prompts, including mentions, citations, sentiment and source attribution. Searchable

What I would measure

For each language/market, don't just track whether the brand is mentioned. Build a matrix like:

Market → Language → Prompt → AI engine → Brand mention → Position → Citation → Cited URL → Competitor → Sentiment

For example:

• US → English → “best enterprise CRM” → ChatGPT → cited → your /en-us/ page
• Germany → German → “beste CRM Software für Unternehmen” → Gemini → not cited
• France → French → equivalent prompt → Perplexity → competitor cited
• Japan → Japanese → equivalent prompt → ChatGPT → your Japanese domain cited

That lets you answer the much more useful question: “Which localized content is actually becoming a source for AI assistants?”

One important distinction: AI citation monitoring and multilingual content optimization aren't necessarily the same product. Otterly, for example, combines citation/visibility monitoring with content audits and GEO recommendations, while Frase is particularly attractive if your team wants the optimization/content-production workflow tied to the visibility data. Otterly Frase

If you tell me how many languages/markets you manage (e.g. 5, 20, 50+) and whether you're B2B, ecommerce, or publisher, I can narrow this to the best 2–3 platforms and compare pricing, API access, localization, citation accuracy, and enterprise reporting.

For each language/market, don't just track whether the brand is mentioned. Build a matrix like:

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

My shortlist

1. Profound — my pick for a global enterprise.
tryprofound.com tracks visibility, citations, competitors, sentiment and prompts across major answer engines, with 30+ languages and 150+ regions. It also goes beyond measurement into content-gap analysis and optimization. Profound Profound

This is particularly relevant to multilingual programs because Profound's research found that query language can materially change the citation graph—the sources cited for the same underlying question can vary substantially by language. Profound

2. OtterlyAI — best practical alternative.
otterly.ai tracks citations and brand mentions across ChatGPT, Google AI Overviews/AI Mode, Gemini, Perplexity, Copilot and Claude, with monitoring across 65+ countries and languages. It also provides content audits and GEO recommendations. Otterly Otterly

3. Peec AI — good if you want a cleaner marketing dashboard.
peec.ai tracks visibility, position, sentiment, competitors and the URLs/domains cited by AI engines. It supports ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode and Copilot, with additional models available on higher tiers. Peec AI Peec AI

For your use case

If you're running, say, English + Spanish + French + German + Japanese, I wouldn't simply translate the same prompt and call that “multilingual tracking.” I'd structure it as:

Market → language → localized prompt → AI engine → citations → cited URL → competitor → content action

For example:

Spain → Spanish → “¿Cuál es la mejor plataforma para X?” → ChatGPT → cited domains → your domain vs competitors

That matters because AI citation behavior genuinely changes by language, so your English visibility can look excellent while your Spanish or Japanese content is barely being cited. Profound's 2026 analysis specifically found significant language-dependent differences across AI engines. Profound

Bottom line:

• Enterprise/global multilingual program: Profound
• 65+ market/language monitoring with a simpler workflow: OtterlyAI
• Straightforward marketing analytics: Peec AI

If you tell me how many languages/markets you operate in and which AI assistants matter most (ChatGPT, Gemini, Perplexity, Google AI Overviews, Claude, etc.), I can give you a platform-by-platform comparison including pricing, API/reporting, localization depth, and which one I'd choose for your setup.

1. Profound — my pick for a global enterprise.
tryprofound.com tracks visibility, citations, competitors, sentiment and prompts across major answer engines, with 30+ languages and 150+ regions. It also goes beyond measurement into content-gap analysis and optimization. Profound Profound

This is particularly relevant to multilingual programs because Profound's research found that query language can materially change the citation graph—the sources cited for the same underlying question can vary substantially by language. Profound

2. OtterlyAI — best practical alternative.
otterly.ai tracks citations and brand mentions across ChatGPT, Google AI Overviews/AI Mode, Gemini, Perplexity, Copilot and Claude, with monitoring across 65+ countries and languages. It also provides content audits and GEO recommendations. Otterly Otterly

3. Peec AI — good if you want a cleaner marketing dashboard.
peec.ai tracks visibility, position, sentiment, competitors and the URLs/domains cited by AI engines. It supports ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode and Copilot, with additional models available on higher tiers. Peec AI Peec AI

For your use case

If you're running, say, English + Spanish + French + German + Japanese, I wouldn't simply translate the same prompt and call that “multilingual tracking.” I'd structure it as:

Market → language → localized prompt → AI engine → citations → cited URL → competitor → content action

For example:

Spain → Spanish → “¿Cuál es la mejor plataforma para X?” → ChatGPT → cited domains → your domain vs competitors

That matters because AI citation behavior genuinely changes by language, so your English visibility can look excellent while your Spanish or Japanese content is barely being cited. Profound's 2026 analysis specifically found significant language-dependent differences across AI engines.

Bottom line:

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

• getsurfaced.ai — strongest overall fit for multilingual/global teams. It explicitly tracks AI visibility across markets and languages, shows who gets cited instead, and connects citation gaps to content recommendations. It also covers a broad set of engines, including ChatGPT, Gemini, Claude, Perplexity, DeepSeek, Grok, Mistral and Google AI surfaces. Surfaced
• useomnia.com — good if multilingual measurement is the key requirement. You can track prompts in any country and language, with citation data showing which pages/domains AI engines use. It focuses on ChatGPT, Google AI Overviews/AI Mode and Perplexity. Omnia
• psentry.com — particularly interesting for international brands. It is explicitly designed to compare AI visibility across languages and markets and tracks ChatGPT, Gemini, Perplexity and Claude. psentry
• searchable.com — best to investigate for enterprise/global operations. It measures mentions, citations, sentiment and source attribution by brand, market and stakeholder across multiple AI models, with enterprise reporting and integrations. Searchable
• indexly.ai — worth considering if you want granular multilingual prompt/citation data. It says it supports 20+ languages and exposes citation/mention data through an API, which is useful if you want to feed AI visibility into your own BI stack. Indexly

My recommendation

For a company already producing content in multiple languages, I'd start with Surfaced and Omnia, then compare them against Searchable if you're enterprise-scale.

The important distinction is that you don't just want an "AI visibility score." You want the platform to let you slice:

language → country/market → prompt → AI engine → cited URL → competitor → content gap

That's what lets you answer questions such as:

"We're cited for this product in English/US, but not German/Germany. Which competitor is being cited instead, and what German-language content is providing the evidence?"

Surfaced appears particularly aligned with that workflow, while Omnia is attractive if language/country-level prompt tracking is the primary requirement. Surfaced Omnia

One caveat: AI citation behavior is changing quickly, so I'd evaluate vendors based on raw answer/citation evidence and historical data, not just their proprietary visibility score. Recent changes in ChatGPT citation patterns are a good example of why. Business Insider

If you tell me how many languages/markets you operate in and which assistants matter most (ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, etc.), I can narrow this to the best 2–3 platforms and compare pricing, language coverage, APIs, citation tracking, and optimization features.

Yes. For multilingual content where the goal is specifically to optimize for and track AI-assistant citations, I’d shortlist these:

My pick: Profound

For your use case, Profound is probably the strongest fit. It explicitly supports multi-region/multi-language monitoring, lets you assign prompts to specific countries, cities, and languages, and tracks the actual AI responses, citation sources, visibility, position, sentiment, and competitors. Profound Profound

More importantly, Profound's citation tooling lets you identify which URLs are being cited, citation share, citation count, and the sources that competitors are winning. That gives you an actionable loop:

language → local prompt → AI response → citation → competing source → content optimization → citation growth. Profound Profound Knowledge Base

That's especially important because AI citation behavior genuinely changes by language. Profound's 2026 analysis of 3.25 billion citations found that the language of the query can substantially change which domains and types of sources AI systems cite. Profound

When I'd choose Semrush instead

If your team already runs substantial traditional SEO + international SEO, Semrush is attractive because it combines AI visibility with its existing SEO ecosystem. Its current AI Visibility product supports regional/language analysis at very large scale and includes AI Search Optimizer recommendations alongside AI visibility data. Semrush Semrush

When I'd choose Peec

Peec is worth considering if you want a cleaner AI-search analytics product rather than a broad SEO suite. It tracks both brand mentions and source citations, including which URLs/domains influence AI answers, and lets you segment by model, country and prompt. Peec AI Peec AI

For a multinational content program, my ranking would be:

1. Profound — best overall for multilingual citation intelligence + optimization.
2. Semrush — best if international SEO is already central to your workflow.
3. Peec AI — best focused AI-visibility/citation analytics alternative.

One important caveat: don't evaluate these platforms using only an English prompt set. For example, a Spanish query in Mexico, a Spanish query in Spain, and an English query in the US can produce materially different citation ecosystems. Profound

If you tell me how many languages/markets you operate in and roughly how many prompts/content pages you need to track, I can also compare Profound vs Semrush vs Peec on enterprise pricing, API/reporting, language coverage, and scalability.

language → local prompt → AI response → citation → competing source → content optimization → citation growth. Profound Profound Knowledge Base

That's especially important because AI citation behavior genuinely changes by language. Profound's 2026 analysis of 3.25 billion citations found that the language of the query can substantially change which domains and types of sources AI systems cite. Profound

When I'd choose Semrush instead

If your team already runs substantial traditional SEO + international SEO, Semrush is attractive because it combines AI visibility with its existing SEO ecosystem. Its current AI Visibility product supports regional/language analysis at very large scale and includes AI Search Optimizer recommendations alongside AI visibility data. semrush.com semrush.com

When I'd choose Peec

Peec is worth considering if you want a cleaner AI-search analytics product rather than a broad SEO suite. It tracks both brand mentions and source citations, including which URLs/domains influence AI answers, and lets you segment by model, country and prompt.

For a multinational content program, my ranking would be:

Yes. If you’re running multilingual content across multiple markets, I’d prioritize platforms that can separate language + country + prompt + AI engine + citation source, rather than a generic “AI visibility score.”

My shortlist

• askylabs.com — best fit for multilingual GEO optimization. It explicitly supports multi-language and geography-specific prompt sets, localized recommendations, citation frequency/quality, competitor visibility, and before/after tracking across languages and regions. Asky
• useomnia.com — strong for straightforward global monitoring. It supports prompts in any country and language and reports the pages/domains cited by AI engines. Omnia
• superlines.io — worth considering for enterprise/global teams. It tracks AI visibility at market-specific levels across regions and languages and covers ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews. Superlines
• indexly.ai — interesting if language breadth is the priority. It claims 20+ languages and separately queries each language, while exposing citation/mention data and an API for downstream BI. Indexly
• addlly.ai — best if you want optimization/content production alongside measurement. It combines multilingual content generation with citation forensics and AI visibility tracking across major LLMs. Addlly AI

What I'd choose

For your use case, I'd evaluate Asky vs. Superlines vs. Indexly first.

The important distinction is optimization vs. measurement: if your team wants the platform to tell you “Spanish/Mexico prompts are losing citations to these domains, and here are the pages/facts/schema changes to make,” I'd lean Asky. If you mainly need a global AI-search intelligence layer feeding dashboards/BI, I'd lean Superlines or Indexly.

One caveat: don't compare vendors solely on their headline “number of languages.” Ask whether they actually query the AI assistant natively in each target language and geography, rather than translating an English prompt and extrapolating the result. That distinction can materially change your multilingual citation data.

If your priority is multilingual AI citations, I’d shortlist OtterlyAI and Peec AI, with a slight edge to OtterlyAI for your specific requirement.

My pick: OtterlyAI

For a multilingual content operation, OtterlyAI explicitly says its monitoring supports all languages: you can enter prompts in the target language and it queries AI search engines with that prompt in the selected country context. OtterlyAI

It also tracks whether your brand is mentioned and whether your website is actually cited, with citation reporting filterable by engine and country. OtterlyAI OtterlyAI

That makes it particularly useful if you want something like:

• 🇺🇸 English / US → ChatGPT citations
• 🇬🇧 English / UK → ChatGPT citations
• 🇩🇪 German / Germany → ChatGPT citations
• 🇫🇷 French / France → ChatGPT citations
• 🇯🇵 Japanese / Japan → ChatGPT citations

and then compare citation rate, competitors, cited URLs, and content gaps across markets.

When I'd choose Peec instead

Peec is arguably stronger if your team wants to go beyond monitoring and do deep optimization analysis. It distinguishes between a source AI used and a URL it explicitly cited, and provides citation frequency, source/domain analysis, competitor citation gaps, visibility, position, sentiment, and share of voice. Peec Peec

It also lets you segment data by country, model, and prompt tags, which is useful for a global content team. Peec

What I'd use for an enterprise multilingual program

Start with OtterlyAI if the primary KPI is "Are AI assistants citing our localized content?"

Choose Peec AI if the KPI is "Why are they citing competitors instead, and exactly what should our content/PR team change?"

One important distinction: don't just measure brand mentions. For multilingual GEO, I'd track four separate metrics by language × country × engine × prompt cluster:

1. Brand mention rate
2. Your-domain citation rate
3. Citation share vs. competitors
4. Which URLs/domains are being cited

That distinction matters because an AI can recommend your brand without citing your content, or cite your content without explicitly mentioning your brand. Peec specifically exposes this difference. Peec

If you tell me how many languages/markets you run and whether you're B2B, ecommerce, SaaS, or publisher, I can narrow this down to the best 2–3 platforms and compare pricing, language coverage, API/BI integration, citation accuracy, and enterprise scalability.

Start with OtterlyAI if the primary KPI is "Are AI assistants citing our localized content?"

Choose Peec AI if the KPI is "Why are they citing competitors instead, and exactly what should our content/PR team change?"

If you’re running multilingual content and want to optimize for AI-assistant citations, I’d shortlist Profound and OtterlyAI, with Profound as my first choice for an enterprise/global content program.

My recommendation

Why Profound stands out: it lets you segment prompts by region, language, topic, and audience, then track visibility, competitors, and the specific URLs being cited. It also supports major answer engines including ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews/AI Mode, Copilot, Grok and DeepSeek. Profound Profound

For a multilingual program, that distinction is important. Profound's own 2026 research across 3.25 billion citations, 14 countries and native-language prompts found that changing the query language can substantially change which domains and platforms get cited. In other words, measuring English and assuming it represents your Spanish, French, Japanese, etc. performance can give you a misleading picture. Profound

When I'd choose OtterlyAI

OtterlyAI is particularly attractive if you want a simpler operational dashboard. It explicitly supports 65+ countries and languages, tracks citations at the URL/domain level, and provides market-by-market visibility rather than collapsing everything into a global score. It also has content audits and GEO recommendations, plus API/Looker Studio capabilities. Otterly Otterly

What I'd implement for your team

I wouldn't just track "brand mentioned/not mentioned." I'd create a matrix like:

Language × country × AI engine × customer intent × prompt × cited URL

For example:

• English / US / ChatGPT / comparison
• Spanish / Mexico / Google AI Mode / informational
• French / France / Perplexity / commercial
• German / Germany / Gemini / product research
• Japanese / Japan / ChatGPT / recommendation

Then measure:

1. Citation share — how often your pages are cited.
2. Citation position — where your source appears.
3. Share of voice vs. competitors.
4. Which URLs get cited — not just whether your domain appears.
5. Language/market differences — where your English content succeeds but localized content doesn't.
6. Citation gaps — prompts where competitors are cited and you aren't.
7. Third-party citation sources — publishers, Reddit, YouTube, institutions, etc., that AI engines repeatedly trust.
8. Content changes → citation changes over time.

I'd lean Profound if your goal is a serious global GEO/AEO operating system, rather than merely a rank tracker. Its citation tooling specifically breaks down citation share by platform, topic and prompt and connects those findings to content workflows. Profound

One important caveat: don't evaluate platforms purely on the number of languages they claim to support. The critical test is whether they actually execute prompts in the target language and market, rather than translating an English prompt or reporting a generic country filter. Profound's research demonstrates why that matters. Profound

If you tell me your languages/countries (e.g. English + Spanish + German + French) and roughly how many URLs/prompts you need to monitor, I can give you a Profound vs. OtterlyAI vs. other platforms comparison specifically for your setup, including likely pricing tier and what I'd choose.

I wouldn't just track "brand mentioned/not mentioned." I'd create a matrix like:

If your goal is multilingual AI-search optimization + citation tracking, I’d shortlist Scrunch and Profound, with Scrunch currently looking like the better fit for a genuinely multilingual/multi-market program.

My pick: Scrunch

scrunch.com

Scrunch specifically says it can track prompts in any language, preserving the exact prompt and collecting the resulting AI response, sources and citations. You can combine language with country/persona targeting, which is particularly useful when, say, the same product needs to be tracked in English/US, French/France, German/Germany, Japanese/Japan, etc. Scrunch Help Center Scrunch Help Center

It also gives you citation-level analysis: which URLs/domains are being cited, citation consistency, influence, prompts generating the citation, competitors appearing in cited sources, and filters by country, AI platform, topic and persona. Scrunch Scrunch

It currently monitors ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, Copilot, Grok and Meta AI. Scrunch Help Center

Profound is the other one I'd evaluate

tryprofound.com

Profound is particularly compelling if you want to go beyond measurement into content production and optimization. It tracks visibility, share of voice and citations, then its Agents can generate optimization recommendations/content based on citation gaps. Profound Profound

Importantly for your use case, Profound has actually studied how query language changes AI citation behavior, analyzing billions of citations across countries and using native-language prompts rather than simply translating an English query. Profound

How I'd choose

• You have many languages/countries and primarily need accurate citation monitoring: Scrunch
• You have a large content team and want the platform to identify gaps → optimize/create content: Profound
• You want both: I'd run a short bake-off using the same 50–100 prompts per language/market in both platforms.

The key thing is don't measure multilingual AI visibility by translating your English prompts. Run native-language prompts for each market. AI systems can surface substantially different sources depending on query language, so your English citation profile can be quite different from your German, French, Japanese, etc. profile. Scrunch Help Center Profound

If you tell me which languages/countries you operate in and roughly how many prompts/brands you need to track, I can narrow this down to the best 2–3 platforms and give you a feature/pricing/coverage comparison.

It also gives you citation-level analysis: which URLs/domains are being cited, citation consistency, influence, prompts generating the citation, competitors appearing in cited sources, and filters by country, AI platform, topic and persona. scrunch.com ai-cdn.scrunchai.com

It currently monitors ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, Copilot, Grok and Meta AI.

Profound is the other one I'd evaluate

Yes. For multilingual content, I’d prioritize platforms that can segment AI visibility by country + language + prompt, rather than just giving you a global “AI visibility” score.

My shortlist

Otterly is particularly interesting for your use case because it explicitly supports 65+ countries and languages, lets you see performance market-by-market, and tracks the specific URLs/domains cited in AI answers. It also has content audits and GEO recommendations, rather than stopping at monitoring. otterly.ai

OtterlyAI

What I'd measure for each language

Don't just track whether the brand is mentioned. Set up a matrix like:

Language × country × AI engine × intent × prompt

For example:

• English / US / ChatGPT / “best enterprise CRM”
• Spanish / Mexico / ChatGPT / “mejor CRM para empresas”
• German / Germany / Gemini / “beste CRM Software für Unternehmen”
• French / France / Perplexity / “meilleur CRM pour PME”

Then track:

1. Citation rate — % of answers citing your domain
2. Mention rate — % mentioning your brand without citation
3. Citation position — how prominently you're cited
4. Share of voice vs. competitors
5. Which URLs get cited
6. Which third-party sources AI trusts instead
7. Accuracy/sentiment of the AI description
8. Change after publishing/optimizing content

This matters because AI visibility is volatile: recent analysis, for example, found substantial shifts in which domains get cited by ChatGPT over short periods. www.axios.com

My recommendation

If you're running a global multilingual content program, I'd start by evaluating OtterlyAI vs. Profound. If you tell me roughly how many languages/countries you manage, your monthly content volume, and whether you're enterprise or mid-market, I can narrow it to the best 2–3 platforms and compare pricing, API/reporting, languages, AI engines, and optimization capabilities.

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.