Answers that name a competitor

For what you’re describing, OtterlyAI is probably the closest fit.

otterly.ai specifically tracks which URLs and domains AI search engines cite, rather than merely tracking whether your brand was mentioned. It can monitor prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot, and Claude. Otterly Otterly

What you'd get for an ecommerce blog

You could give it prompts such as:

• “What are the best running shoes for beginners?”
• “Best gifts for a 30-year-old man”
• “Which air fryer should I buy?”
• “Best organic skincare brands”
• “How do I choose a standing desk?”

Then see:

• Which domains AI cites — e.g. nytimes.com, reddit.com, yourcompetitor.com
• Which specific URLs get cited
• Which AI engine produced the citation
• How frequently each domain/URL is cited
• Which prompts caused a particular URL to be cited
• Whether your site was cited versus competitors
• Citation trends over time
• Citation gaps where competitors are being sourced but your content isn't Otterly OtterlyAI

It also has Domain Ranking & Analytics, which tracks domains and their URL citations and changes in link position over time. Otterly

One particularly useful feature

If your goal is “figure out what websites influence ChatGPT's answers in my ecommerce niche”, don't limit the tracking to your own domain.

Track a set of important commercial prompts and look at the top cited domains across all answers. That can reveal that, for example, AI answers in your category disproportionately draw from:

reddit.com → wirecutter.com → major publications → manufacturer sites → competitors

That gives you a much more actionable GEO/content strategy than simply knowing whether your own site appeared.

Otterly also provides API access to citation data, so you could potentially pipe the results into your own SEO/content dashboard. Otterly

My take: If your primary question is “What domains and URLs are ChatGPT/Perplexity/etc. citing for the queries my potential customers ask?”, I'd start with OtterlyAI rather than a conventional SEO tool.

If you tell me your ecommerce niche, I can also compare OtterlyAI vs Semrush vs Peec AI vs Ahrefs vs other AI-citation trackers specifically for finding which third-party sites you should get mentioned on.

Yes — what you’re looking for is generally called AI search visibility / GEO (Generative Engine Optimization) / AEO citation tracking.

For an ecommerce blog, I’d shortlist these:

• otterly.ai — probably the best starting point for a smaller/mid-sized ecommerce team. You give it buyer-oriented prompts such as “best running shoes for flat feet,” and it monitors AI answers across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude and Copilot. Crucially, it records domain citations and the actual cited URLs, not just whether your brand was mentioned. OtterlyAI OtterlyAI
• tryprofound.com — stronger if you want serious competitive/content intelligence. Its citation reporting includes top cited domains, top cited pages, citation relationships, and which answer engines cite them. Profound Profound Knowledge Base
• Peec AI — another option worth evaluating, particularly for marketing/agency-style reporting and multi-engine monitoring. It belongs to the same emerging AI-visibility category as Otterly and Profound. Arbling

What I'd use for your ecommerce blog

If your specific question is:

“When someone asks ChatGPT/Perplexity/etc. about products or topics in my niche, which websites and domains are they citing—and how often?”

I'd start with OtterlyAI.

For example, you could track 100 prompts like:

• “best hiking boots under $200”
• “best waterproof hiking boots”
• “Hoka vs Brooks for walking”
• “what are the best shoes for standing all day?”
• “best running shoes for beginners”

Then you can see things like:

That is much more actionable than traditional SEO rank tracking because you can discover which third-party publications are functioning as the information sources AI engines trust in your category.

There's also an interesting ecommerce-specific feature: Otterly now tracks ChatGPT Shopping Cards, so you can monitor which products/brands get surfaced for your commercial prompts in addition to ordinary web citations. OtterlyAI OtterlyAI

One important distinction: don't confuse this with bot/crawler analytics. Tools that analyze your server logs can tell you that an AI crawler visited your site, but that doesn't necessarily tell you what sources the AI ultimately cited in its answer. Citation monitoring works by actually querying the AI search interfaces and analyzing their responses. OtterlyAI OtterlyAI

If you tell me roughly how many blog articles/prompts you want to track and your monthly budget (e.g. <$50, $100, $500+), I can narrow this down to the 2–3 tools I'd actually pay for.

Yes. For a local business website, I’d focus on tools that track both brand mentions and the actual URLs AI assistants cite, not just generic “AI visibility.”

My picks

1. otterly.ai — best overall for a local business

• Tracks ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude.
• Shows which pages on your site are actually cited, how often, competitors being cited instead, and share of voice.
• Runs tracked prompts daily.
• Particularly useful if you're trying to answer questions like “Who does ChatGPT recommend for [service] near [city]?” Otterly Otterly
• Current comparisons put its entry point around $29/month, making it considerably more approachable than enterprise platforms. Citation Hawk ToolChase
• peec.ai — best for deeper GEO analysis

• Strong choice if you want to understand why competitors are being cited instead of you and analyze citation/content gaps.
• It covers major AI surfaces including ChatGPT, Perplexity, Gemini, Copilot and Google's AI experiences. Citation Hawk Kitbase
• I'd choose this over Otterly if you're doing serious ongoing content/GEO work rather than simply monitoring your visibility.
• semrush.com — best if you already use Semrush

• Its AI Visibility Toolkit combines AI visibility with traditional SEO, competitor research and site auditing.
• Particularly attractive if you don't want another standalone SaaS subscription. Current comparisons put the AI toolkit around $99/month. Citation Hawk
• ahrefs.com — best for an existing Ahrefs user

• Worth considering if your SEO work already lives in Ahrefs.
• Its AI visibility capabilities are increasingly integrated with its broader SEO data, but I'd pick Otterly/Peec if AI citation monitoring itself is your primary objective. ToolChase

What I'd use for a local business

For example, suppose you own a roofing company in Leesburg.

I'd create prompts such as:

• “Best roofing companies in Leesburg VA”
• “Who should I call for a roof replacement in Leesburg?”
• “Best roof repair company near Leesburg”
• “Most reliable roofing contractors in Loudoun County”
• “How much does roof replacement cost in Leesburg VA?”
• “Roofing companies with the best reviews in Northern Virginia”

Then track weekly/daily:

AI platform → Was I mentioned? → Was my website cited? → Which URL? → Position/order → Which competitor appeared? → What source did the AI use instead?

That last part is crucial. A tool telling you “your AI visibility is 14%” is much less useful than telling you:

ChatGPT recommended Competitor A 7/10 times and cited their /roof-replacement/ page. Your site appeared 2/10 times, but when it did, it cited /services/roofing/.

That gives you something actionable.

My recommendation

Start with OtterlyAI. It's the best fit if your main question is “How often are AI assistants mentioning my local business and citing my website?” Its website-citation tracking specifically records the URLs AI engines use, rather than treating every brand mention as equivalent. Otterly

If you're an SEO agency managing multiple local businesses, I'd look more closely at Peec AI or an agency-oriented platform because reporting and multi-client management become more important.

If you tell me what type of local business you have and roughly how many locations/websites you're monitoring, I can narrow this down to the best 2–3 options and compare price, local-search tracking, citation-level data, competitor tracking, and agency reporting.

Yes. What you want is usually called AI visibility / GEO monitoring: software that repeatedly runs the kinds of questions your customers ask and records whether ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews/AI Mode, etc. mention or cite your website.

For a local business, I’d shortlist these:

My pick for a local business

I'd start with Otterly.AI or RankPrompt, rather than jumping straight to an enterprise platform like Profound.

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

"Your brand was mentioned 37 times."

You want something that can answer:

• Which customer questions produced the citation?
• Which AI platforms cited us?
• Which exact URL on our site was cited?
• Which competitors were recommended instead?
• What percentage of relevant answers mention us?
• Does our visibility change by city/ZIP/location?
• What third-party websites are AI systems using to decide whether to recommend us?
• Can I see the actual AI answer rather than just a score?

That's especially important for local SEO because a prompt like "best plumbers in Chelsea MA" is much more useful to you than a generic prompt like "best plumbers."

Current tools vary substantially in this area. For example, some track multiple AI engines and citations, while others emphasize share of voice or broader GEO analytics. Local Dominator KITLabs

One important caveat

Don't treat an AI visibility score as equivalent to a Google ranking.

AI answers aren't deterministic—the same prompt can produce different recommendations on different runs. Good trackers therefore sample prompts repeatedly rather than pretending there is a single permanent "AI ranking." MentionScout

And the landscape is genuinely changing: recent data has shown substantial shifts in which third-party sites AI systems cite, even over short periods. Axios

What I'd set up for your business

I'd build a monitoring set of roughly 30–100 prompts, split into:

1. "Best [service] near me"
2. "Best [service] in [city]"
3. "[service] near [neighborhood]"
4. "[service] for [specific problem]"
5. "[competitor] vs [your business]"
6. "Who should I hire for [problem]?"
7. "Affordable/reliable/top-rated [service] in [area]"
8. Questions where your website has particularly useful content

Then track them weekly across the major AI surfaces.

That gives you a much more meaningful metric: "Of the questions that could actually send us a customer, how often does AI recommend or cite us?"

If you tell me what type of local business you have and what city/area you serve, I can narrow this down to the 3 best tools for your situation, including current pricing, platform coverage, local/ZIP-level capabilities, and which one I'd actually buy.

What I'd set up for your business

One important caveat

Don't treat an AI visibility score as equivalent to a Google ranking.

Yes. What you’re looking for is generally called AI search visibility / GEO (Generative Engine Optimization) tracking. These platforms run real queries against AI search products and record which websites/pages are cited, so you can see who is winning citations in your niche.

The two I’d look at first

• tryprofound.com — probably the closest match to what you described. Its citation tools show which sources AI engines pull from, how frequently they’re cited, which competitors are getting cited, and which publishers/authors are influential in your category. It tracks ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, Copilot, Grok and others. Profound Profound
• otterly.ai — more accessible for a smaller publisher. You give it prompts such as “What happened in [your niche] this week?” and it monitors the answers daily, showing the URLs being cited, your competitors' citations, and changes over time. It covers ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude. Otterly Otterly

Otterly currently advertises a free trial and pricing starting at $29/month. Otterly

But there's an important distinction for a news site

You don't really want to know “Does AI know my website exists?”

You want to answer:

“When someone asks an AI about stories in my niche, which publications does it cite—and what would make it cite mine instead?”

That's a much more useful dataset.

For example, suppose your site covers Kansas City local business news. You could track prompts like:

• “What are the latest restaurant openings in Kansas City?”
• “What happened in Kansas City business news this week?”
• “Which companies are expanding in Kansas City?”
• “Latest Kansas City development projects”
• “What happened with [specific company]?”
• “Kansas City news about [specific neighborhood]”

Then you could build a spreadsheet like:

That tells you where the citation opportunities actually are.

There's another signal that's especially interesting for a news publisher

AI crawlers can actually visit your website when answering a user's question. Otterly now has Agent Analytics, which analyzes server logs and distinguishes things such as search-index crawlers from on-demand fetchers like ChatGPT-User, Claude-User, and Perplexity-User. Otterly Otterly

That means you can potentially see something like:

ChatGPT-User → /story-about-company-X/

That's considerably more useful than simply seeing that GPTBot crawled your homepage.

If your goal is specifically “become a cited source”

I'd approach it as source acquisition rather than traditional SEO.

The interesting research question is:

What characteristics do the sources that AI cites repeatedly have that my site doesn't?

For a niche news publication, I'd investigate:

1. Original reporting — AI has a reason to cite you if you're the originating source.
2. Named reporters/authors — establish clear authorship and expertise.
3. Specific factual claims — dates, numbers, names, quotes, documents, etc.
4. Freshness — especially important for news.
5. Consistent topical authority — become the publication covering a narrow subject.
6. Indexability/crawlability — AI can't cite what it can't retrieve.
7. Third-party recognition — other reputable sites linking to and referencing your reporting.
8. Structured article metadata — clear publication dates, authors, headlines, organization information, etc.

And I'd pay particular attention to which individual articles get cited, rather than merely whether your domain gets mentioned.

The landscape is also changing rapidly: for example, recent research found a major decline in Reddit's share of ChatGPT citations in August 2026, illustrating that citation sources can shift substantially as AI search systems change. Business Insider Axios

If you tell me what your niche news site covers (and the domain, if you want), I can actually research your competitive citation landscape—which AI platforms matter, which publications currently get cited for your topics, and what I'd do to make your site one of those sources.

ChatGPT-User → /story-about-company-X/

That's considerably more useful than simply seeing that GPTBot crawled your homepage.

If your goal is specifically “become a cited source”

I'd approach it as source acquisition rather than traditional SEO.

The interesting research question is:

What characteristics do the sources that AI cites repeatedly have that my site doesn't?

For a niche news publication, I'd investigate:

1. Original reporting — AI has a reason to cite you if you're the originating source.
2. Named reporters/authors — establish clear authorship and expertise.
3. Specific factual claims — dates, numbers, names, quotes, documents, etc.
4. Freshness — especially important for news.
5. Consistent topical authority — become the publication covering a narrow subject.
6. Indexability/crawlability — AI can't cite what it can't retrieve.
7. Third-party recognition — other reputable sites linking to and referencing your reporting.
8. Structured article metadata — clear publication dates, authors, headlines, organization information, etc.

And I'd pay particular attention to which individual articles get cited, rather than merely whether your domain gets mentioned.

The landscape is also changing rapidly: for example, recent research found a major decline in Reddit's share of ChatGPT citations in August 2026, illustrating that citation sources can shift substantially as AI search systems change.

Yes. The category you’re looking for is usually called AI citation tracking, AI visibility tracking, Generative Engine Optimization (GEO), or Answer Engine Optimization (AEO). These tools monitor which websites/pages appear as sources in AI answers and help you identify opportunities to get your niche news site cited. Scrunch Centium

Some platforms to look at:

• scrunch.com — Tracks which URLs are cited by AI systems for tracked prompts and shows citation share, top cited domains, and competitors. Scrunch
• llmpulse.ai — Shows which domains/pages ChatGPT, Gemini, and Perplexity cite for your topics and helps find “citation gaps” where competitors are appearing instead of you. LLM Pulse
• citedspy.com — Focused on extracting cited URLs from AI answers and ranking which domains influence a market. CitedSpy
• centium.ai — Tracks source stacks behind AI answers across models and can show which sites are influencing answers in a niche. Centium
• indexly.ai — Tracks citation share, source rankings, and page-level citations across major AI engines. Indexly

For a niche news site, I’d use these tools less as “SEO rank trackers” and more as a PR/content intelligence system:

1. Pick 50–100 prompts your audience would ask AI:

• “What happened in [your niche] this week?”
• “Who are the top experts in [field]?”
• “What are the biggest developments in [industry]?”
• “Best sources for [topic] news”
• Track which publications are repeatedly cited.
• Study what those cited pages have in common:

• original reporting
• named experts
• data/primary documents
• clear dates and timestamps
• author bios
• structured pages
• Create content that fills gaps:

• original investigations
• weekly briefings
• databases
• explainers AI can easily summarize

A useful shortcut: Perplexity and AI systems with visible citations are also good manual research tools because you can ask the same niche questions repeatedly and see which publications keep appearing. xSeek

One important distinction: these tools show what AI systems cite in retrieved answers; they usually cannot reveal the complete private training dataset of a model. They’re measuring visible citations and retrieval behavior, not the entire corpus used to train a model. LLM Pulse

If you tell me your niche (e.g., crypto, local politics, biotech, sports, finance, gaming), I can suggest the citation strategy and the types of stories most likely to get pulled into AI answers.

Yes. For your exact use case, I’d shortlist Indexly first, especially if you’re managing multiple client sites.

indexly.ai

Why Indexly fits

It specifically tracks page-level citations, rather than just whether a brand was mentioned:

• Which URLs on a client’s site are being cited by AI.
• Citation counts per URL, so you can see which pages are doing the work.
• Breakdowns by ChatGPT, Claude, Gemini, Perplexity, Grok and Google AI Overviews.
• Daily tracking and historical data, allowing you to measure citation frequency and changes over time.
• Citation share and competitor-source analysis.
• An API, which could be useful if you want to roll this into your own agency dashboard or reporting workflow. Indexly

For example, you could get something conceptually like:

That is much closer to the question “Which pages are AI assistants actually using?” than a generic AI visibility score.

Two alternatives worth testing

Citations.io is another strong option if you want a broader agency-oriented AI visibility platform. Its “Citation Map” records every URL/domain cited and provides an answer archive, competitive share-of-voice, and tracking across ChatGPT, Perplexity, Gemini and Claude. Citations.io

citations.io

OtterlyAI is worth considering if you care more about prompt-level monitoring and reporting. Its prompt analysis exposes the URLs used as citations and tracks brand visibility over time; it currently covers ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude. OtterlyAI OtterlyAI

help.otterly.ai

My pick

Indexly → best match for “which pages + how frequently.”
Citations.io → best if you want a fuller agency/client AI-visibility platform.
OtterlyAI → best if prompt tracking and broader AI-search coverage are more important.

One caveat: these tools generally measure citations generated in repeated/monitored AI queries, not a literal log of every time a real-world ChatGPT user happened to reference a page. So “40 citations” means 40 observed citations in the tool's monitoring methodology—not 40 total instances across all AI users.

If you tell me how many client sites you manage (e.g. 10, 50, 200) and whether you need white-label reporting, I can narrow this down to the best agency tool and compare pricing/features.

If your goal is specifically “which pages on my clients’ websites are AI assistants referencing, and how often?”, you’re looking for an AI visibility / GEO (Generative Engine Optimization) citation tracking tool, not a traditional SEO rank tracker.

Here are the strongest options:

My recommendation for a client-services agency

• If you manage many client sites and need reports: start with Profound or CiteWatch. They are closest to an “Ahrefs/Semrush for AI citations” workflow. Profound CiteWatch
• If you mainly need proof that AI assistants are using client content: use Microsoft Clarity AI Visibility or Bing Webmaster Tools AI Performance as a lower-cost starting point. Microsoft Learn Search - Microsoft Bing
• If you need to optimize content: prioritize tools that expose the mapping: - AI assistant → prompt/query → cited URL → citation count → competitor URLs

A caveat: no tool can see all ChatGPT, Gemini, Claude, and other assistant responses globally. Most tools measure a tracked set of prompts or available AI answer surfaces, so the numbers are best treated as visibility trends, not a complete census. Search - Microsoft Bing

For an SEO agency managing client accounts, I’d shortlist Profound, CiteWatch, and Bing Webmaster Tools AI Performance and compare them on:

1. number of AI engines covered,
2. URL-level citation reporting,
3. client white-label reporting,
4. API/export options,
5. cost per tracked domain.

If your goal is specifically “Which domains are AI answer engines citing when people ask product-related questions in my store’s category?”, I’d use a dedicated AI-search/GEO visibility platform, rather than trying to infer it from Google Analytics.

My pick: OtterlyAI

otterly.ai is probably the best fit for what you described.

It can track prompts across ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Copilot, and Claude, then show the actual URLs/domains cited in the answers. Its citation reporting lets you filter by domain, URL, engine, prompt, and date. Otterly Otterly

For an ecommerce store, I'd structure it around queries such as:

• “best [product category]”
• “[product] alternatives”
• “best [product] for [use case]”
• “[product A] vs [product B]”
• “where to buy [product]”
• “most reliable [product category]”
• “best [product category] under $X”
• “[product category] for beginners”
• “what should I look for when buying [product]?”

Then look at Top Citation Domains rather than just whether your own brand appears.

That gives you a dataset roughly like:

That is much more actionable than a generic “AI visibility score.” Otterly specifically exposes every cited URL, its domain, citation count, and whether your brand is mentioned on that source. Otterly Otterly

The other one I'd seriously consider: Profound

tryprofound.com is arguably the stronger choice if you want to turn this into a more sophisticated enterprise AEO/GEO program.

Its Citation Intelligence specifically provides Top Citation Domains, Top Citation Pages, citation share, citation categories, and citation relationships, and lets you break the data down by platform, topic, and prompt. Profound Profound Knowledge Base

One feature I particularly like for ecommerce is the ability to classify sources as owned, competitor, earned media, social, institutional, etc. That lets you answer not merely:

“Who is AI citing?”

but:

“Are AI engines getting their product information from retailers, publishers, Reddit, competitors, manufacturers, review sites, or our own product pages?”

That's the strategic question I'd care about.

What I'd choose

Small/mid-sized ecommerce team → OtterlyAI.
It's more directly oriented around prompt monitoring + citation/domain tracking, and it also has shopping analytics for seeing which products and retailers ChatGPT surfaces. Otterly

Larger SEO/content team → Profound.
I'd favor it if you want deeper analysis of citation share, source categories, competitive gaps, and content/outreach workflows. Profound Profound

One important distinction

Don't just track your domain's citations.

Build a dataset of all domains cited for commercial/product-intent prompts, because the really valuable insight is often:

“AI engines cite these 30 domains repeatedly when answering questions in our category, but our brand appears on only 4 of them.”

Those 30 domains become your AI influence map—potential review sites, comparison publishers, Reddit communities, retailers, manufacturers, editorial sites, etc.

If you tell me what you sell + roughly how many product categories/SKUs you have, I can also suggest the exact prompt taxonomy and dashboard/KPIs I'd use to map your AI citation landscape.

If your goal is specifically “Which domains are AI answer engines citing when shoppers ask product/category questions?”, I’d look at an AI visibility / GEO platform, not traditional SEO rank tracking.

My picks

1. tryprofound.com — best for citation-domain research

• Tracks citations across ChatGPT, Perplexity, Google AI Overviews and other answer engines.
• Gives you Top Citation Domains, Top Citation Pages, citation share, competitors, topics, prompts, and platforms. Profound Profound Knowledge Base
• Particularly useful if your question is: “For ‘best running shoes for X’ queries, what domains does AI consistently cite?”
• You can also segment citation sources into owned, competitors, earned media, social, institutions, etc. Profound Knowledge Base
• Profound also has SKU-level analysis for ChatGPT Shopping, which makes it interesting for an online store. Profound
• peec.ai — probably the strongest alternative for ecommerce

• Explicitly tracks the URLs and domains AI engines use and cite.
• Covers ChatGPT, Google AI Mode/Overviews, Gemini, Perplexity, Copilot and others. Peec
• Its source-gap analysis is especially useful: you can identify domains that cite your competitors but don't cite you. Peec
• It also has dedicated AI Shopping Analytics, including product visibility, win rate, position, quoted price and product attributes. Peec
• ahrefs.com — good if you already use Ahrefs

• Its Brand Radar distinguishes between pages that are actually cited and pages that AI merely retrieved/found. That's an important distinction for this use case. Ahrefs Help Center
• I'd choose it if you want AI citation data integrated with your existing SEO workflow rather than building a dedicated GEO stack.

What I'd actually build for an online store

Don't just track your domain's citations. Build a dataset like:

Then aggregate it into:

• Top cited domains by product category
• Top cited domains by AI engine
• Domains citing competitors but not you
• Your citation share vs. competitors
• Most-cited individual URLs
• Citation trends over time
• Commercial/transactional prompts specifically
• Product-level visibility and recommendation position

That last point matters: Peec's research specifically recommends separating commercial and transactional prompts, since those are much more relevant to product consideration and purchase intent. Peec

My recommendation

For an ecommerce store, I'd start with Peec AI if product-level/AI-shopping analytics is the priority, and Profound if your primary job is understanding the broader citation ecosystem and deciding which domains you need to get mentioned on.

If you're trying to answer something like “For my 500 most valuable product queries, what are the 100 domains AI trusts most, and where are my citation gaps?”, I'd lean Profound or Peec rather than Ahrefs. Both are much closer to that exact workflow. Profound Knowledge Base Peec

For a small marketing agency managing multiple clients, I’d shortlist these:

• peec.ai — best overall agency fit. It’s specifically built around AI-search visibility, tracks multiple assistants, and is commonly positioned as the sweet spot between inexpensive trackers and enterprise platforms. One 2026 comparison puts it at about $95/mo starting and calls it a strong choice for agencies. AEO Labs Conbersa
• otterly.ai — best budget option. Good if you need to monitor lots of smaller clients without an enterprise bill. It tracks AI mentions/citations and share of voice across major AI search surfaces. AEO Labs Foglift
• citations.io — particularly interesting for agencies. It explicitly offers agency/multi-client tracking, white-label reports, competitor share of voice, citation monitoring, and implementation recommendations. It currently tracks ChatGPT, Perplexity, Gemini, and Claude. Citations
• foglift.io — worth testing if citation data is your priority. It tracks ChatGPT, Perplexity, Google AI, Claude, and Gemini, including cited URLs, competitors, share of voice, position, and sentiment. Foglift
• tryprofound.com — strongest enterprise-style option. Excellent depth, but probably more than a small agency needs unless AI visibility measurement is becoming a major revenue service. Independent 2026 testing puts it among the leaders for citation share. GeoHero Foglift

My pick

If your agency has, say, 5–30 clients, I'd start by demoing Peec AI and Citations.io, with Otterly as the lower-cost alternative.

The key distinction is that you want citation share of voice, not merely "does ChatGPT mention my brand?" A useful platform should let you see something like:

Client A: 24% citation SOV
Competitor B: 31%
Competitor C: 18%
Other: 27%

…and then break that down by prompt → AI assistant → cited URL → competitor → position. That's much more actionable for an agency reporting GEO/AEO results to clients. Foglift Citations

If you tell me roughly how many clients you manage and your monthly budget, I can narrow this to the 2–3 cheapest tools that support multi-client/white-label reporting and compare their current pricing.

Yes. For a small marketing agency, I’d shortlist these:

• otterly.ai — probably the best starting point if you want broad engine coverage. It tracks ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot, and Claude, including mentions, citations, competitors, and share of voice. Otterly
• scoutllm.ai — particularly agency-friendly: client workspaces, daily visibility/SOV tracking, competitor tracking, city-level markets, alerts, and white-label reports. Scout LLM Scout LLM
• citegauge.com — attractive for a smaller agency because its Agency plan is listed at $149/month for 10 client workspaces and 250 prompts, with white-label reporting. It covers ChatGPT, Claude, Gemini, and Perplexity. CiteGauge
• rankscope.ai — worth considering if you want something relatively inexpensive but with an explicit agency tier; its Agency plan is listed at $399/month for 400 prompts, tracking ChatGPT, AI Overviews, Perplexity, and Google AI Mode. RankScope
• citemetrix.com — interesting if you need a larger multi-client operation: unlimited domains/clients on its agency track, white-label reporting, and nine AI platforms including ChatGPT, Claude, Gemini, Perplexity, Grok, Copilot, DeepSeek and Google AI Overview. Agency pricing starts at $299/month. CiteMetrix

My pick

For a small agency with, say, 5–20 clients, I'd start with OtterlyAI or Scout LLM.

If your primary deliverable is “Here's our client's AI share of voice vs. competitors, and here's exactly which websites/models are citing them”, OtterlyAI looks particularly strong because it explicitly breaks SOV down by prompt, engine, and market and tracks the actual cited URLs. Otterly

If white-label client reporting and agency workspaces are more important, I'd trial Scout LLM or CiteGauge. Scout LLM CiteGauge

One important distinction: don't buy a tool merely because it says it tracks "AI visibility." For your use case, I'd require (1) citation-level data, (2) competitor SOV, (3) separate results by model/engine, (4) historical trends, and (5) multi-client/white-label reporting.

If you tell me roughly how many clients and prompts you need to monitor, I can narrow this to the 2–3 best options and compare their current pricing/features.

If your goal is specifically “which papers, university-press pages, and competing domains are actually being cited by ChatGPT/Perplexity/etc., so we can improve discoverability,” I’d separate this from traditional scholarly citation analysis.

My shortlist

• tryprofound.com — best for a serious university-press program. It tracks citations at the URL level across a broad set of AI engines, including ChatGPT, Perplexity, Gemini, Claude, Copilot and Google AI surfaces. That granularity is particularly useful for a press because you can distinguish which individual book/article/landing page gets retrieved rather than merely whether the press's domain is mentioned. Nick Lafferty
• semrush.com — best if your press already uses Semrush. It monitors which domains are cited for specified prompts and combines AI visibility with conventional SEO data. Semrush says its dataset includes hundreds of millions of AI-search prompts, making it useful for competitive benchmarking as well as monitoring your own domain. Semrush Semrush
• otterly.ai — best lower-cost starting point. It tracks a fixed set of prompts and identifies citations across ChatGPT, Perplexity, Gemini, Google AI Overviews and Copilot. Current published comparisons put it around $29/month at the entry level. Distribution.studio Semrush
• getintel.ai — particularly interesting if your question is literally “what sources did the AI cite?” Its distinguishing feature is storing the cited URLs from individual runs rather than reducing everything to a visibility score. It currently covers ChatGPT, Perplexity, Gemini and Google AI Overviews, with Claude on a higher tier. GetIntel
• scite.ai — complementary, not a replacement. For an academic press, Scite is excellent for the other side of the problem: how individual papers are being cited in scholarly literature and whether subsequent research supports or contradicts them. It also integrates with ChatGPT/Claude and provides an API. scite.ai scite.ai

What I'd buy for a university press

I'd probably start with Profound + Scite, rather than trying to make one product do both jobs.

Think of the two datasets as:

Scite:

“How influential/referenced is this scholarship within the scholarly ecosystem?”

Profound (or Semrush/Otterly):

“When someone asks an AI a question related to this scholarship, which sources does the AI actually retrieve and cite?”

That distinction matters. A book can have excellent conventional scholarly citations but be essentially invisible to AI search—and conversely, an ordinary web page can become a disproportionately important AI source.

There's also substantial volatility between AI systems: one 2026 analysis found only about 11% of cited domains overlapped between ChatGPT and Perplexity, while another Semrush analysis found only 25.6% overlap between different ChatGPT reasoning modes for the same prompts. Distribution.studio Semrush So I would not buy a tool that only measures “ChatGPT visibility.”

The metrics I'd want the press dashboard to contain

For each title/paper, track:

• AI citation rate: percentage of relevant prompts where the work/page is cited.
• Citation position: first source, middle of source list, etc.
• Citation URL: the exact page being retrieved.
• Citation type: book page, journal article, repository, review, Wikipedia, library record, news article, etc.
• Competing sources: which other papers/books/domains are being cited instead.
• Prompt/topic: e.g. “history of X,” “scholars studying Y,” “best books on Z.”
• Engine: ChatGPT, Perplexity, Gemini, Claude, Google AI.
• Change over time: whether a title is becoming more or less discoverable.
• Uncited opportunities: queries where competing scholarship is cited but your press's material isn't.
• Third-party citations: places such as university pages, reviews, bibliographies and institutional repositories that may be acting as the bridge through which AI discovers your book.

That last category is especially valuable for a press. Don't optimize only the publisher's own domain. If AI systems repeatedly cite a university repository, review, scholarly society page, or Wikipedia entry instead of your book page, that tells you something about the discovery path of the scholarship.

One important caveat: these products generally sample controlled prompts and observe the resulting citations; there isn't a universal feed containing every question every ChatGPT user asks. CiteFlow So I'd treat the resulting numbers as trend/benchmark measurements, not absolute counts of “all AI citations.”

If you tell me roughly how many titles your press publishes per year and whether you want an institutional/enterprise system or something a one-person marketing team can run, I can narrow this to 2–3 products and compare price, AI engines, URL-level citation data, API/export capability, and suitability for academic publishing.

The metrics I'd want the press dashboard to contain

For a university press, I’d look less at generic “AI SEO” tools and more at platforms that can answer:

1. Which books, chapters, articles, or domains are AI assistants citing?
2. For which research questions are our publications missing?
3. Which competing presses, journals, repositories, or institutions are getting surfaced instead?

A practical shortlist:

My recommendation for a university press

I would probably build a two-layer stack:

1. AI answer citation monitoring

Use one of:

• Profound (larger press, many disciplines, dedicated analytics team)
• Otterly.AI or Peec AI (smaller team, experimentation) CitationDesk Distribution.studio

Track prompts such as:

• “What are the best books on [field]?”
• “Who are leading scholars on [topic]?”
• “What should I read about [historical event/theory/method]?”
• “Recommend academic sources on [subject].”

Record:

• cited URLs
• cited domains
• publisher/platform
• author names
• whether the citation points to: - your landing page
• DOI page
• institutional repository
• Google Books
• JSTOR
• Internet Archive
• competitor press pages

2. Scholarly impact intelligence

Pair that with:

• Scopus
• Web of Science
• Dimensions
• Scite

These tell you traditional scholarly influence; AI trackers tell you AI-mediated discoverability. They are related but not the same. LLMrefs Grow with Tejas

Metrics I’d put on a press dashboard

A useful monthly dashboard might include:

• AI citation share

• % of tracked prompts where your press appears as a cited source
• Citation gap

• your press vs. university presses, journals, repositories, and commercial competitors
• Top AI-discovered titles

• books/chapters most frequently surfaced
• Lost-query report

• important scholarly questions where competitors appear but you do not
• Citation path

• “AI cited our book page” vs. “AI cited a third-party review mentioning our book”
• Metadata problems

• cases where AI cites an author’s profile, repository copy, or secondary source instead of the canonical press page

A low-cost pilot I’d run first

For 8–12 weeks:

1. Pick 100–200 high-value prompts across your strongest subject areas.
2. Run them weekly in ChatGPT, Claude, Gemini, and Perplexity.
3. Store every cited source URL.
4. Identify patterns: - Are AI systems finding your books?
5. Are they finding reviews instead?
6. Are they missing your catalog because metadata is weak?
7. Improve: - structured metadata
8. author pages
9. chapter abstracts
10. open-access excerpts where appropriate
11. persistent identifiers (DOIs, ORCID links, Crossref metadata)

The biggest strategic shift is that discoverability is moving from “rank for a keyword” toward “be a trustworthy source an AI system chooses to cite.” AI visibility tools are emerging quickly, but no single platform gives a complete scholarly picture yet. SiteTest.ai Nick Lafferty

For a university press, I’d prioritize citation-level source tracking over simple brand mentions—knowing which books and pages get cited is much more actionable than knowing your press name appeared. GetIntel

Yes. The category is usually called AI visibility monitoring, LLM citation tracking, or GEO (generative engine optimization) monitoring. These platforms periodically ask AI assistants questions, record whether your site/blog appears as a cited source, and alert you when your visibility changes. RankScope Sona

Some options:

• semrush.com — Good if you already use SEO tools; its AI visibility features track appearances in AI-generated answers alongside broader SEO data. Search Engine Land
• otterly.ai — Focused on AI search monitoring; tracks mentions/citations across assistants such as ChatGPT, Perplexity, and others. KITLabs
• peec.ai — Built around monitoring brand visibility in AI answers and comparing competitors. Citation Hawk
• tryprofound.com — More enterprise-oriented AI visibility analytics. Search Engine Land
• genwolf.ai — Tracks prompts, mentions, citations, and source domains across several AI assistants. Genwolf

A couple of important caveats:

• These tools usually do not detect every time an AI model has “read” your blog. Models like ChatGPT generally do not expose a live feed of training data usage or every retrieval event.
• They mostly detect observable citations: “When someone asks an AI assistant this question, does the assistant cite your URL?” Citation Hawk Search Engine Land
• For a personal blog, you may not need a full platform. A lightweight setup can work: 1. Pick 20–50 questions your ideal readers might ask AI assistants.
• Track whether your pages appear as citations in ChatGPT, Perplexity, Gemini, and Claude.
• Run the checks weekly or monthly.
• Alert yourself when a page starts appearing—or disappears.

If your goal is specifically “email me the moment ChatGPT/Perplexity starts citing my blog URL”, the market is still a bit immature; most tools are prompt-monitoring dashboards rather than true URL mention firehoses. SEOExpert

If you tell me your blog size (e.g., 20 posts vs. 5,000 pages) and whether you care about ChatGPT only or all AI assistants, I can narrow down the best fit.

Yes. There’s now a fairly mature category for this: AI visibility / AI citation monitoring.

If your specific question is “Did ChatGPT, Perplexity, Gemini, etc. cite one of my actual URLs?”, rather than merely “did they mention my brand?”, I’d look at these:

• otterly.ai — probably the easiest place to start. It tracks the exact URLs cited in AI answers, including which of your pages are being cited, across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini and Copilot. It also supports alerts/reporting. Otterly Otterly
• Peec AI — more marketing/SEO-oriented, with page-level citation tracking and competitive visibility analysis. It’s one of the more commonly compared options for this use case. The Rank Masters Conbersa
• Profound — geared more toward larger companies/enterprise GEO programs, with detailed source-level citation intelligence. SEO Counselors

One important distinction

These platforms generally don't have a magical feed of every time an AI assistant anywhere on the internet cites your page.

Instead, they periodically run a set of relevant prompts against AI search systems and record the sources those answers use. So, for example, you might configure:

“What are the best resources for learning X?”
“How does X work?”
“Best tools for X in 2026?”

Then the platform tells you something like:

ChatGPT — Aug 24
Citation: yoursite.com/blog/how-x-works

That makes them particularly useful for seeing which individual articles are becoming AI sources and whether citation frequency is increasing.

If your goal is specifically “alert me whenever any of my URLs gets cited, even if I didn't know which prompts to monitor”, that's a slightly different problem—and I can dig into whether there's a tool that does that rather than just prompt-based monitoring.

If you mean “which exact passages on my site are being used/quoted by ChatGPT, Gemini, Perplexity, Google AI Overviews, etc.?”, there’s an important distinction:

• Most AI-visibility tools can tell you which URL was cited.
• Far fewer can reliably tell you which paragraph/sentence from that URL contributed to the answer.
• AI systems generally don't expose a clean “this paragraph was quoted” attribution, so paragraph-level analysis often has to be inferred by comparing the AI answer against the cited page.

Best options right now

1. scrunch.com — probably the closest fit

Scrunch tracks the cited URL, the prompt, the AI answer, and which pages contributed to the answer. Its Citations and Prompt Monitoring features let you drill down from domain → URL → prompt → actual AI response. Scrunch Help Center Scrunch

That makes it particularly useful if your workflow is:

“AI cited /guides/best-x → show me the answer it generated → determine which portions of my page appear to have supplied the information.”

However, I would not interpret Scrunch as giving you a definitive sentence-level attribution such as “paragraph 7 was quoted 14 times.”

2. tryprofound.com — strongest for citation intelligence

Profound gives you citation-level visibility across ChatGPT, Perplexity, Google AI Overviews and other answer engines, including the specific URLs being cited, citation frequency, prompts, platforms and watched pages. Profound Profound Knowledge Base

It's excellent for answering:

“Which pages of my site are AI systems using?”

But again, its public documentation focuses on page/URL-level citations, rather than identifying the exact paragraph or sentence that was extracted. Profound Knowledge Base

3. otterly.ai — good lower-cost visibility layer

Otterly tracks AI answers and the URLs cited by ChatGPT, Perplexity, Google AI Overviews, Gemini, Copilot and Claude. Otterly Otterly

It's useful for establishing which pages are getting cited, but it isn't really a paragraph-level “content provenance” tool.

If your actual goal is paragraph-level attribution

I'd approach it as a two-stage system:

AI visibility tool → cited URLs → retrieve page → semantic matching against AI answer

For example:

Your website
    ↓
Scrunch / Profound / Otterly
    ↓
AI answer + cited URL
    ↓
Fetch cited webpage
    ↓
Split page into paragraphs/sentences
    ↓
Semantic similarity / phrase matching
    ↓
"These 3 passages most likely contributed to the AI answer"

That can produce a much more useful report such as:

If this is specifically what you're trying to build, I wouldn't choose a tool solely on “AI citation tracking.” I'd look for one that gives you the raw AI responses + cited URLs, because those are the ingredients needed to calculate paragraph-level attribution yourself.

Of the three, Scrunch looks like the best starting point for this particular use case, because its documentation explicitly describes drilling into the actual prompt-level AI answers and the sources used to shape them. Scrunch Scrunch

If you tell me whether you want this for your own site, a SaaS product, or an agency managing many sites, I can also compare the current tools specifically on sentence/paragraph-level attribution, APIs, exports, and price.

If you mean finding which exact passages from your website are being reused or quoted by AI answer engines (ChatGPT, Google AI Overviews, Perplexity, Claude, Gemini, etc.), the category of tools you’re looking for is usually called AI visibility / AI search optimization / LLM citation tracking.

Some tools that can help:

• ahrefs.com — Tracks search visibility and can help identify content performance signals, though it is not a dedicated LLM quotation tracker.
• semrush.com — Its AI visibility features are aimed at monitoring brand mentions and presence in AI-generated search experiences.
• getprofound.com — Built specifically for tracking how brands appear in AI answers and which sources are cited.
• otterly.ai — Monitors AI search results and citations across AI platforms.
• peec.ai — Tracks visibility and citations in AI search responses.
• scrunch.ai — Focuses on AI search visibility and how content is represented in AI answers.

For paragraph-level attribution (e.g., “AI systems are quoting this exact 47-word paragraph from /pricing”), the technology is still emerging. Most current tools primarily show:

• which queries triggered an AI answer containing your brand/site
• whether your domain was cited
• which URL was cited
• competitors cited alongside you
• sometimes the quoted text or citation context

A practical workflow is:

1. Use an AI visibility tracker to collect AI answers where your domain appears.
2. Export the cited URLs.
3. Compare the AI answer text against your pages using: - exact phrase matching
4. semantic similarity tools
5. embeddings/vector search
6. a crawler that stores your page chunks

If you want true snippet-level tracking, you’d typically build a pipeline:

• crawl your site → split pages into chunks → store embeddings → collect AI answers → run similarity matching against your chunks.

If you tell me whether you mean your own site’s content being quoted by ChatGPT/Perplexity/Gemini, or any AI crawler traffic (GPTBot, ClaudeBot, etc.) accessing your pages, the best tool choice changes.

Yes. What you’re looking for is slightly more specific than an “AI visibility tracker”: you want query → AI answer → cited URL → your content/page attribution, ideally with the exact prompt that caused the citation.

Best options

• otterly.ai — best match for your use case. It runs your tracked prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, then records the URLs cited in the answers. Its citation details can drill down from a cited URL to the prompts where that URL was cited and the exact AI answer. Otterly Otterly AI

Path: query → AI response → cited URL → prompt(s) → exact answer

• tryprofound.com — best for enterprise-scale research. Good if you want lots of prompts, competitors, markets, and systematic monitoring rather than just investigating individual citations. Current comparisons put it toward the enterprise end of the market. Meridian15 DataDab
• peec.ai — good analytics-oriented alternative. Particularly useful if you want prompt tracking and competitive AI-search visibility reporting rather than a forensic citation trail.
• citability.dev — interesting if you care about evidence rather than just scores. Its stated differentiator is live-tested citation data with inspectable raw responses, rather than relying solely on an aggregate “AI visibility” score. Citability

My pick

For exactly what you described, I'd start with OtterlyAI. The important feature isn't merely “your brand was mentioned”; it's that you can investigate which page was cited, for which prompt, and then open the underlying answer. Otterly AI

One caveat: these systems generally re-run a controlled set of prompts rather than observing every query real users make in ChatGPT. Results can therefore differ from what an individual user sees because AI search experiences can personalize results based on factors such as location and history. Otterly

If your real goal is “I have 500 articles/pages—show me exactly which user queries cause each page to get cited by ChatGPT/Perplexity/Gemini”, I can narrow this down to the 2–3 tools that provide the deepest query → citation → URL → answer trail.

Yes. What you’re looking for is usually called AI visibility / AI citation tracking—but there’s an important distinction: most tools show the prompt → AI answer → cited URLs, rather than exposing the model’s private internal reasoning.

My picks

• otterly.ai — best starting point. It runs your chosen prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, and records the actual pages cited in the answers. It also lets you see which competitor gets cited instead. Otterly Otterly
• tryprofound.com — best for serious/enterprise analysis. It goes deeper into citation and source-level reporting and covers a broad set of AI surfaces. CitationDesk Bloomiro
• scrunchai.com — best if you want the technical side too. It combines citation tracking with AI-bot crawl/agent activity, so you can investigate both what gets cited and how AI systems access your site. TechnologyAdvice
• peec.ai — good middle ground for agencies and teams wanting prompt-level visibility, competitors and citation analysis without going all the way to enterprise tooling. CitationDesk

The workflow you want

Ideally the tool should let you drill into something like:

Your query
→ “What are the best accounting platforms for startups?”
→ AI assistant's answer
→ Your site mentioned/cited
→ exact URL cited
→ position/context of your citation
→ competing sites cited instead
→ ideally, why that page appears to have been selected

Otterly explicitly provides the prompt, generated answer, cited URL, citation frequency, and competitor comparison, which is very close to what you're describing. Otterly

One caveat: no legitimate tool can show you the model's private chain-of-thought or a literal internal “query → retrieval → reasoning → citation” trace. What these products can observe is the externally visible path: prompt, response, citations, source URLs, and—in some cases—crawler/retrieval signals.

If your primary goal is “show me exactly which of my pages AI assistants are using and what questions caused them to use it,” I'd start with Otterly. If you're doing this at enterprise scale, I'd evaluate Profound and Scrunch alongside it. Otterly TechnologyAdvice

If you mean “track how often our content/brand is cited by AI, where we rank versus competitors, and compare that across multiple models”, there are several good options. For an enterprise content team, I’d shortlist these:

My pick: Profound

Profound is probably the closest match to what you're describing.

It tracks visibility, citation share, cited URLs, competitor citations, and rankings across AI answer engines. Its citation analysis can show which pages and third-party sources are being cited, while its visibility scoring lets you benchmark your brand against competitors by platform, topic, and prompt. Profound Profound

For an enterprise content organization, the particularly useful pieces are:

• Citation frequency: how often your pages/domains are cited.
• Citation share: your share of citations versus competitors.
• Per-model analysis: see differences between ChatGPT, Claude, Gemini, Perplexity, etc.
• Prompt-level tracking: identify the questions where competitors get cited but you don't.
• Page-level monitoring: see which individual URLs gain or lose citations.
• Content workflow: turn citation gaps into content briefs and optimization work.
• Enterprise controls: SSO, RBAC, SOC 2 Type II, and multi-asset configurations. Profound

One important distinction: AI “rank” isn't quite the same thing as Google rank. These platforms generally measure things such as brand position/prominence within generated answers, share of voice, and citation share rather than a single deterministic SERP position. That's actually more useful for content teams trying to understand why an AI answer chooses one source over another.

Two alternatives I'd seriously evaluate

Searchable is interesting if you're building an AI-search operation across many brands, markets, and stakeholders. It combines mentions, citations, sentiment, source attribution, competitor share-of-voice and citation share, with enterprise integrations such as Looker Studio, REST API, MCP, GA4 and GSC. Searchable

Zumi is worth looking at if broad model coverage is important. It currently advertises monitoring across nine engines, including ChatGPT, Gemini, Perplexity, Claude, Copilot, Grok, Google AI Overviews, Google AI Mode and DeepSeek, with citation ranking and competitive share-of-voice metrics. Zumi

Citations.io is a more focused option: its dashboard centers on four engines—ChatGPT, Gemini, Perplexity and Claude—with a visibility score, citation map, competitive SOV, and answer archive. Its enterprise offering adds multi-brand workspaces, SSO/audit logs and managed prompt research. Citations Citations

What I'd use for an enterprise content team

If your goal is content planning and proving ROI, I'd rank them:

1. Profound — best all-around enterprise content/AEO platform.
2. Searchable — particularly compelling for multi-brand/global organizations and integrations.
3. Zumi — strongest if maximum model coverage is the priority.
4. Citations.io — simpler, focused citation intelligence.

If you tell me roughly how many brands/domains, markets, and prompts you need to track, I can also compare their pricing, prompt limits, model coverage, API/reporting, and enterprise features and tell you which is the best fit.

Zumi is worth looking at if broad model coverage is important. It currently advertises monitoring across nine engines, including ChatGPT, Gemini, Perplexity, Claude, Copilot, Grok, Google AI Overviews, Google AI Mode and DeepSeek, with citation ranking and competitive share-of-voice metrics. zumihq.com

Citations.io is a more focused option: its dashboard centers on four engines—ChatGPT, Gemini, Perplexity and Claude—with a visibility score, citation map, competitive SOV, and answer archive. Its enterprise offering adds multi-brand workspaces, SSO/audit logs and managed prompt research.

What I'd use for an enterprise content team

If your goal is content planning and proving ROI, I'd rank them:

For an enterprise content team, you’re looking for an AI visibility / GEO (Generative Engine Optimization) platform rather than a traditional SEO rank tracker. The strongest options today track things like:

• Citation frequency — how often AI models cite your pages/brand
• Citation sources — which URLs/domains are being referenced
• AI answer share of voice — how often you appear vs. competitors
• Position/rank within generated answers (where available)
• Prompt-level tracking — the questions your customers actually ask
• Multi-model comparisons — ChatGPT vs. Claude vs. Gemini vs. Perplexity, etc.

A shortlist for enterprise content teams:

My recommendation by use case

For a global content/SEO team managing many pages and stakeholders

• Start with Citations.io or Profound. You’ll want historical trends, competitor benchmarking, and reporting workflows. Citations.io

For a content operations team trying to improve what gets cited

• Prioritize platforms that show: - exact cited URLs
• missing citation opportunities
• competitor pages winning citations
• prompt-level failures

For an SEO team adding AI search to an existing stack

• Look for API/export capability and integrations so AI visibility data can flow into dashboards.

Evaluation checklist for an enterprise purchase

Before signing, ask vendors:

1. Which models are queried directly?

• ChatGPT (which version?)
• Claude?
• Gemini?
• Perplexity?
• AI Overviews?
• Do you measure citations or just mentions?

• A brand mention is weaker than being the cited source.
• Can we upload our own prompt set?

• Enterprise teams usually need hundreds/thousands of buyer-intent queries.
• Can we see citation rank?

• Example: “Our page was citation #1 of 8 sources.”
• Can we export raw answers and evidence?

• Important for executives, PR, and content attribution.
• Does it support multiple brands/regions/business units?

• Critical for enterprise governance.

If I were building a 2026 enterprise content measurement stack, I’d shortlist Citations.io, Profound, Zumi, and BotScope for evaluation, then choose based on model coverage, data retention, API access, and reporting needs. Citations.io BotScope Zumi

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

• citenso.com — probably the closest match. It explicitly supports 27 languages and 30+ countries, with geo-targeted prompts and citation/visibility analytics across ChatGPT, Claude, Gemini, and Perplexity. Citenso Citenso
• donguri.ai — strong if you want standardized country-by-country comparisons, with local-language prompts across 20+ countries and citation share/mention metrics. donguri
• useomnia.com — tracks prompts in any country and language and preserves full AI responses, including citations, which is useful for figuring out why one market cites different sources from another. Omnia
• rankscale.ai — better if your emphasis is citation-source analysis: domains/URLs, citation volume, categories, and regional filtering. Rankscale.ai

My pick

For a multilingual brand optimizing content, I'd start with Citenso if its supported languages/countries match your markets. The key capability isn't merely “AI visibility”; you want a matrix like:

Market × language × AI engine × prompt × cited source × competitor

That lets you discover patterns such as “Our English content gets cited in the US, but German-language answers cite local publishers instead” and then build content specifically for that citation ecosystem.

If you tell me your target countries/languages and industry, I can narrow this to the 2–3 tools that best fit and compare their coverage/features.

For your use case, I’d shortlist Profound and OtterlyAI.

Best fit: Profound

Profound looks strongest if geographic + language segmentation is the core requirement. Its Answer Engine Insights supports 30+ languages and 150+ regions, and lets you analyze visibility, citations, platforms, sentiment, and share of voice. Its regional view can break visibility down by country, including a world heat map. www.tryprofound.com

That means you could build something like:

English / US → citation sources → competitors → content gaps
French / France → citation sources → competitors → content gaps
German / Germany → citation sources → competitors → content gaps
Japanese / Japan → citation sources → competitors → content gaps

It also lets you filter prompts by region, topic, persona, and tags, which is useful for comparing the same intent across markets. www.tryprofound.com

Strong alternative: OtterlyAI

OtterlyAI is particularly attractive if you want detailed citation-level analysis. It currently supports 65+ countries and languages and tracks citations across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot, and Claude. help.otterly.ai

Its Citations report can be filtered by engine and country, while citation details show which prompts and engines produced a citation and whether your brand was mentioned. help.otterly.ai

What I'd choose

For a multilingual brand, I wouldn't optimize around a single global "AI visibility score." I'd create a market × language × AI engine × prompt-intent matrix, then compare:

• citation rate
• brand mention rate
• share of voice
• citation domains/pages
• competitor citations
• sentiment/positioning
• prompts where you're cited in one language but not another

That will tell you whether, for example, your Spanish content is genuinely weaker—or whether Spanish-language AI answers simply rely on a different ecosystem of publishers and sources.

If you tell me which languages/markets your brand targets, I can also recommend the best tool and a concrete measurement framework for your situation.

If your main requirement is “show me how often my domain has been cited by AI assistants, and how that has changed over time,” I’d shortlist these:

Best fit: indexly.ai

Indexly looks like the strongest match for your specific use case. It tracks:

• Citation counts over time for your domain
• Individual URLs/pages on your site that get cited
• Citation share versus competitors
• Per-engine data across ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Overviews
• Daily tracking with full historical retention
• Historical charts broken down by AI model and page Indexly Indexly

The particularly useful feature is per-page citation history: you can see which pages AI assistants cited this week and which pages used to be cited but aren't anymore. That's much more actionable than a generic "AI visibility score." Indexly

Good alternative: rankscale.ai

Rankscale is worth considering if you want more competitive/citation-landscape analysis. It tracks citation volume, domain share, URL share, and category trends over time across ChatGPT, Perplexity, Claude and 17+ AI engines. Rankscale

If you want a broader GEO platform: amicited.com

AmICited tracks prompts daily across ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews, AI Mode and Grok, with visibility and citation trends over time. It's more oriented toward overall AI-search optimization than purely historical citation analytics. Am I Cited

My recommendation

For your exact wording, I'd start with Indexly. Its distinction between mentions, citations, citation share, and which specific pages are gaining/losing citations over time is especially valuable. Indexly

One important caveat: these platforms generally measure repeatedly querying AI assistants with a defined prompt set, rather than having access to some universal historical database of everything ChatGPT/Claude/etc. have ever cited. So the quality of your historical trend depends heavily on the prompts and engines you configure.

If your specific goal is “show me how often my domain has been cited by AI assistants, and how that has changed over time,” I’d shortlist these:

• otterly.ai — best fit for straightforward historical citation tracking. It tracks cited domains and URLs across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot, and Claude, with citation trends over time. Its Domain Coverage chart specifically shows your domain’s citation rate over a selected period, including comparisons with competitors. Otterly OtterlyAI
• tryprofound.com — better for enterprise-grade analysis. Its Citation Share charts show day-to-day changes, while Watched Pages lets you track citation volume for individual URLs over time. It also lets you compare citation share by platform, topic, prompt, and competitor. Profound Profound Knowledge Base
• Microsoft Clarity AI Visibility — worth checking if you want a lower-friction option. Its Citation dashboard reports which pages on your domain are cited, citation counts, grounding queries, and changes over time. Microsoft Learn
• Bing Webmaster Tools AI Performance — particularly interesting if you primarily care about your own site's citations. It has a timeline of citation volume, page-level citation activity, and grounding queries, with custom historical date ranges. Search - Microsoft Bing

My pick

Start with OtterlyAI if the primary KPI is “How is my domain's AI citation footprint changing month over month?” It is unusually explicit about domain/URL citations, rather than just giving you a generic AI visibility score. It also supports CSV exports, which is useful if you want to build your own long-term dashboard. Otterly OtterlyAI

If you're running a serious SEO/GEO program and need citation share vs. competitors, granular prompt analysis, and content strategy workflows, I'd choose Profound instead. Profound

One important distinction: these tools generally measure citations by running a defined set of prompts against AI search experiences and recording the resulting answers. They're not measuring every AI conversation happening worldwide. So the historical trend is best interpreted as “citation visibility across my tracked query set,” not an absolute count of all times your domain was cited by AI. Otterly Profound

For a SaaS marketing team trying to report AI share of voice (SOV)—i.e., “how often do AI assistants cite or recommend our brand vs. competitors”—you’re looking for an AI visibility / GEO (Generative Engine Optimization) monitoring platform, not a traditional SEO rank tracker.

Some tools that fit this use case:

For a SaaS marketing reporting workflow, I’d evaluate them against these requirements:

• Prompt tracking: Can you define buyer-intent prompts like “best CRM for startups” or “HubSpot alternatives”?
• Citation share: Does it calculate your percentage of appearances/citations vs. competitors?
• Assistant breakdown: Can you show “ChatGPT SOV: 18%, Perplexity SOV: 31%, Claude SOV: 12%”?
• Historical trends: Can you report month-over-month movement?
• Competitor benchmarking: Can you see who is replacing you in answers?
• Export/API: Can you push data into Looker, Tableau, HubSpot dashboards, or board reports?

A typical executive dashboard would include:

• AI Share of Voice %
• Citation rate
• Mentions by assistant
• Competitor comparison
• Top prompts won/lost
• Sources/pages earning citations
• Sentiment of AI mentions
• Trend line over time

If you’re a B2B SaaS company, I’d generally shortlist:

1. Profound for enterprise-grade reporting.
2. Citations.io or CiteWatch for marketing-team visibility.
3. CitationBench if you want to integrate AI citation data into your own SaaS dashboards or workflows. CitationBench Citations

One caveat: “AI share of voice” is still an emerging metric. Different vendors define it differently (mention frequency, citation frequency, answer position, or weighted visibility), so make sure the denominator matches how your marketing team wants to report success. Geo Software Rankings

Yes. If your goal is specifically aggregating citations across AI assistants into an AI share-of-voice report for a SaaS marketing team, I’d shortlist these:

• peec.ai — probably the best fit for a SaaS marketing team. It tracks visibility, position, sentiment, and share of voice, and identifies the sources most frequently cited for your prompts. It covers ChatGPT, Gemini, Perplexity, AI Overviews, and AI Mode. Peec AI
• tryprofound.com — stronger choice if you're an enterprise marketing org wanting deeper citation intelligence and reporting.
• citationbench.com — particularly interesting if you want API-accessible citation/SOV data that your team can pipe into its own reporting stack. It explicitly supports ChatGPT, Claude, and Perplexity and has multi-workspace reporting for agencies. CitationBench
• cite.watch — worth looking at if you care about the actual cited URLs as much as brand mentions. It tracks citations across ChatGPT, Gemini, Perplexity, Claude, and Copilot and provides per-assistant breakdowns. CiteWatch
• citationradar.ai — focused specifically on competitor citation/SOV analysis across ChatGPT, Perplexity, Gemini, Claude, and Grok. Citation Radar

What I'd choose for your use case

If your reporting question is:

“Across the AI assistants our prospects use, what percentage of relevant answers cite or recommend us versus our competitors, and which sources are driving that?”

I'd start with Peec AI or Profound.

If you want to build the reporting layer yourself—e.g. pull data into Looker/Tableau/BigQuery and calculate your own weighted AI SOV—I'd investigate CitationBench first because its API is explicitly designed around AI citation and SOV data. CitationBench

One important distinction: brand mention SOV ≠ citation SOV. For SaaS marketing, I'd report both:

• Mention SOV — how often the AI names your company.
• Citation SOV — how often your domain/content is actually cited.
• Citation share by source — which publications, review sites, Reddit, etc. are feeding the answers.
• Assistant-level SOV — ChatGPT vs Claude vs Gemini vs Perplexity, rather than hiding everything in one aggregate number.
• Competitor displacement — prompts where a competitor is cited/recommended but you aren't.

That's becoming particularly important because citation patterns can move substantially between assistants and over time; recent analysis, for example, found Reddit's share of ChatGPT citations changing materially within just a few weeks. Axios

If you tell me your SaaS category and roughly how many prompts/competitors you want to track, I can narrow this to the 2–3 tools I'd actually buy, including API/reporting capabilities and likely pricing.

• Mention SOV — how often the AI names your company.
• Citation SOV — how often your domain/content is actually cited.
• Citation share by source — which publications, review sites, Reddit, etc. are feeding the answers.
• Assistant-level SOV — ChatGPT vs Claude vs Gemini vs Perplexity, rather than hiding everything in one aggregate number.
• Competitor displacement — prompts where a competitor is cited/recommended but you aren't.

That's becoming particularly important because citation patterns can move substantially between assistants and over time; recent analysis, for example, found Reddit's share of ChatGPT citations changing materially within just a few weeks.

If your goal is specifically “show me the exact prompts/questions that cause ChatGPT, Perplexity, Gemini, etc. to cite my how-to pages”, I’d shortlist these:

1. peec.ai — best fit for your use case

• Tracks the specific prompts you care about and the URLs cited in each answer.
• Its Query Fanouts feature is particularly interesting: it exposes related/background searches an AI performs while answering a prompt, including their frequency. Peec AI
• You can see which sources are most frequently cited for particular prompts and compare yourself with competitors. Peec AI
• This is the one I'd test first if you have a library of how-to guides and want to answer: “Which questions make AI retrieve/cite this particular URL?”
• tryprofound.com — best for deep citation intelligence

• Tracks which answer engines cite your content, how often, and across which prompts.
• It also categorizes cited sources and identifies the publishers/authors driving citations in a topic. Profound
• Profound says it can use real-world user queries rather than relying solely on manually constructed prompts. Profound
• I'd lean toward this if you're running a serious content/GEO operation rather than just monitoring a handful of guides.
• otterly.ai — best value/accessible starting point

• Tracks prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude.
• Its prompt-level reporting shows exact prompt → response → citations, including domain and URL citations. Otterly Otterly AI
• It also has prompt research that can generate relevant AI-search prompts from a keyword, brand, or URL. Otterly

The important distinction

There are actually two different things you might mean by “exact queries”:

A. User prompts

“How do I migrate a WordPress site to a new domain?”

You want to know whether your /guides/migrate-wordpress/ page gets cited when someone asks that.

B. AI retrieval/fanout queries

The user asks:

“How do I migrate a WordPress site?”

The model may internally/retrieval-wise expand that into searches around:

WordPress domain migration steps
WordPress change site URL
redirect old domain to new domain
preserve SEO during WordPress migration

If B is what you're after, Peec AI is particularly compelling because its Query Fanouts feature explicitly surfaces these background searches for ChatGPT, Perplexity and Copilot. Peec AI

My pick for a how-to-guide publisher

I'd rank them:

One caveat: no tool can literally tell you the single “exact query” that caused a model to cite a page with perfect causal certainty. AI search is dynamic, personalized, and often involves multiple retrieval steps. The tools above are better thought of as experimentally reconstructing the relationship between prompt → AI answer → retrieved/cited URL, with Peec going further into the intermediate fanout searches. Otterly itself notes that manual AI searches can differ from its monitored results because AI platforms personalize responses. Otterly

If you give me your site/URL, I can also compare these tools specifically for your situation—e.g. which one is best for discovering new, previously unknown prompts that are already leading AI to cite individual how-to articles, rather than merely tracking a prompt list you supply.

If your goal is “which exact user questions cause ChatGPT/Perplexity/Gemini/etc. to cite my how-to guides?”, you want a GEO (Generative Engine Optimization) / AI visibility tracker rather than a normal SEO rank tracker. The best tools capture the prompt, the AI answer, and the cited URLs so you can map query → answer → citation → your guide. Geol.ai

My shortlist:

For a how-to guide library, I’d prioritize these capabilities:

1. Prompt-level tracking

• “How do I configure X?”
• “What is the best way to fix Y?”
• “Step-by-step guide for Z”
• Not just “is my brand mentioned?”
• Citation extraction

• The exact guide URL cited
• The competing pages cited instead
• The surrounding answer text that triggered the citation
• Prompt discovery

• Tools that suggest likely customer questions are more valuable than manually entering hundreds of prompts.
• Historical snapshots

• You want to see: “After updating my guide on Aug 1, these 14 prompts started citing it.”

A practical setup for most content teams:

• Use Citations.io or Otterly for continuous monitoring.
• Export winning prompts.
• Add those prompts to a spreadsheet/database with: - query
• intent
• AI engine
• cited page
• competing citation
• guide improvements made

One caveat: AI citation tracking is still probabilistic. A tool is usually sampling prompts and answers rather than observing every real ChatGPT conversation, so look for platforms that store raw answer snapshots and citation evidence rather than only giving a single “AI visibility score.” Geol.ai nicklafferty.com

If you tell me your stack (WordPress/docs site, SaaS docs, publisher, ecommerce, etc.) and which AI engines matter (ChatGPT only vs ChatGPT + Perplexity + Gemini), I can narrow this to the best fit.

If you mean “show me the AI questions where competitors/research sources get cited but our content doesn’t, so we can create content that earns the citation,” then OtterlyAI is probably the closest fit.

• otterly.ai — Its Gap Analyzer identifies prompts where competitors are named/cited and you aren't, while its citation tracking shows which URLs AI engines use instead. It also has content-audit and content-brief functionality aimed at turning those gaps into content actions. Otterly Otterly
• tryprofound.com — Better if you're an enterprise team wanting deeper source-level citation intelligence and competitor overlap across AI engines. SEO Counselors Bushnote
• peec.ai — More focused on clean AI-search visibility/citation analytics; useful for identifying where you're absent, but less of a content-production workflow. GeoHero

For your specific use case

I'd frame the requirement as “citation-gap / source-gap analysis,” not simply AI visibility.

You want a workflow like:

Prompt → AI answer → citations → competitor/source cited → assertion with no citation → opportunity → your research/data that could substantiate it → content/page to publish or update → re-test citation.

That's more valuable than a generic “AI visibility score.” Research on citation behavior also suggests that topical relevance and evidence-rich content are important determinants of which retrieved sources get cited. arxiv.org arxiv.org

My pick: start with OtterlyAI if the content team needs actionable gaps; evaluate Profound if you have an enterprise GEO/SEO operation and need deeper competitive source intelligence.

If you mean “show me the AI questions where the answer is missing a citation, identify what sources AI cites instead, and tell my content team which of our research/pages could fill that gap,” a few platforms are particularly close:

• sofindable.com — probably the closest match. It maps AI answers and citations, identifies competitive/source gaps, and surfaces questions where your brand is missing. It specifically analyzes which sources AI trusts and where your content/source support is weak. Sofindable
• gumshoe.ai — especially oriented toward content teams. It tracks which pages AI cites, finds content gaps/questions where you're absent, analyzes the sources AI prefers, and turns those gaps into content recommendations. Gumshoe AI
• citations.io — strong if the primary need is citation intelligence: it shows answers that cite you, answers that don't, and which competitors/publications AI cites instead, then produces prioritized actions. Citations
• rankscope.ai — more execution-oriented: detects citation gaps, automatically generates a content brief designed to fill the gap, and tracks whether the resulting content improves citation visibility. RankScope
• hubspot.com — a good broader marketing-stack option. Its citation analysis identifies where you're cited, where you're not, competitor citations, and content gaps, with recommendations for what to create or optimize. HubSpot

My pick

If your specific use case is “we have proprietary research/data, and we want to discover AI answers that should be citing that research but currently aren't,” I'd start with Findable or Gumshoe.

The distinction I'd make:

Findable → best for discovering the citation opportunity.
Gumshoe → best for connecting that opportunity to the content team's workflow.

If you tell me your rough company size (startup / mid-market / enterprise) and whether you want monitoring only vs. recommendations + content briefs, I can narrow this to the 2–3 platforms I'd actually evaluate.