Neutral mentions of Peec AI

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.

For a local business website, you’re looking for AI visibility / GEO (Generative Engine Optimization) monitoring software rather than traditional SEO rank trackers. The best tools track whether assistants like ChatGPT, Gemini, Claude, and Perplexity mention your business, recommend you, and cite your website or other sources. Citations.io Sona

Here are the strongest options:

OTW Signal CitationDesk## My picks by business type

1. Local service business (dentist, HVAC, contractor, restaurant, law firm)

Start with:

• citations.io
• sightgrid.io

You mainly need answers to:

• “When someone asks AI for the best [service] near me, do I appear?”
• “Which competitors are being recommended instead?”
• “Which directories/websites are AI citing?”

2. Marketing agency managing clients

Look at:

• otterly.ai
• tryprofound.com

You’ll want:

• multiple client dashboards
• historical trends
• competitor comparisons
• reporting exports

3. Budget-conscious owner

A practical approach:

• Pick your top 20 customer questions.
• Run them weekly through ChatGPT, Gemini, Claude, and Perplexity.
• Track: - Was my business mentioned?
• Was my website cited?
• Who appeared instead?
• What sources did AI trust?

Some free/low-cost tools can help automate this; for example, nyftylabs.com provides a lightweight way to track whether several models name or cite your brand. NYFTY Labs

Metrics I would actually watch

Ignore a single “AI score” and focus on:

1. Citation rate

How often your domain appears as a cited source.

2. Prompt win rate

Percentage of buyer questions where your business appears.

3. Competitor share of voice

How often competitors appear instead.

4. Citation sources

Are AI systems citing:

• your website?
• Google Business Profile?
• Yelp/Tripadvisor/industry directories?
• news articles?
• reviews?
• Position in answer

Being the first recommendation is usually more valuable than appearing at the bottom.

For most local businesses, I’d start with Citations.io or SightGrid for AI citation monitoring, then pair it with a traditional local SEO tool like BrightLocal if you also need Google Maps/listing management. sightgrid.io teehoomartech.com

If you tell me your business type (restaurant, contractor, medical, retail, etc.) and whether you serve one city or multiple locations, I can narrow this down.

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.

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. For a university press, I’d look at this as AI citation intelligence, not ordinary SEO: you want to know which books/articles/domains are being retrieved and cited by AI systems, for which scholarly questions, and what you can do to make your own catalog more retrievable.

My shortlist

My pick: Profound + a scholarly citation database

I'd probably pilot Profound first. The important capability isn't merely "does the press get mentioned?" It's being able to drill down to:

Prompt → AI engine → cited URL → domain → specific book/article → competing sources → frequency over time

That lets your editorial/marketing team ask much more useful questions, such as:

• Which of our books are cited when someone asks about topic X?
• Which competing university presses are disproportionately represented?
• Are AI systems citing our book landing pages, Google Books/Internet Archive records, reviews, repositories, or third-party scholarship?
• Which domains repeatedly appear alongside our competitors?
• What sources are AI systems using instead of our books?
• Are citations concentrated in a handful of titles or distributed across the catalog?

The distinction between mention, citation, recommendation, and co-citation is particularly important here. A title can be discussed without its actual landing page being cited. Nick Lafferty

One thing I would not do

Don't buy a tool purely because it gives you a single "AI visibility score."

AI citation results are noisy and vary substantially by engine and sampling. Recent research argues for measuring not just whether something was cited, but how much influence the cited source actually had on the generated answer. arXiv

For a press, I'd therefore want your dashboard to retain the individual response and cited URLs, not just aggregate rankings.

A useful internal dataset would look roughly like:

date | engine | prompt | title/ISBN | cited URL | source domain | competitor? | citation position | answer context | landing-page type

Then you can build genuinely editorial insights from it.

The scholarly-specific wrinkle

There's also evidence that AI-mediated discovery of academic resources favors structured metadata, stable permalinks, and freely accessible material. A recent study of academic-library resources found ChatGPT, Perplexity, and Gemini driving AI-mediated traffic and highlighted those characteristics. arXiv

So I'd pair AI citation monitoring with a bibliographic/metadata audit of your catalog:

• DOI/ISBN consistency
• Schema.org/Book metadata
• author/editor metadata
• abstracts and substantial descriptions
• table of contents
• chapter-level metadata where possible
• persistent URLs
• links between books, chapters, reviews, and related scholarship
• repository/open-access copies where licensing permits
• structured citation information

That turns the monitoring system into something actionable rather than just a marketing dashboard.

If I were procuring this for a press

I'd run a 30-day bake-off between Profound, GetIntel, and Otterly.AI, using perhaps 100–200 questions spanning your major subject areas. I'd compare:

1. Coverage of ChatGPT, Perplexity, Gemini, Claude, etc.
2. Whether you can export every cited URL, not merely your own citations.
3. Citation-level history and reproducibility.
4. Ability to group results by domain, title, author, subject, and competitor.
5. API/export capabilities.
6. Whether the tool can distinguish a publisher's individual book URLs from the publisher's domain generally.
7. Cost at your eventual prompt volume.
8. Data retention—important if you want to build a multi-year scholarly-discoverability dataset.

For your particular use case, I'd weight #2 and #6 much more heavily than the vendor's headline "AI visibility score."

If you tell me roughly how large the press's catalog is (e.g. 1,000 vs. 20,000 titles) and whether you're looking for a $100/month, $1k/month, or enterprise-scale solution, I can narrow this to 2–3 products and compare their current capabilities/pricing.

Then you can build genuinely editorial insights from it.

The scholarly-specific wrinkle

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 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 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

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 use case, you want a multilingual GEO/AI-visibility platform that can run the same intent queries by language + country/region, then show differences in mentions, citations, competitors, and source domains.

Best fits

• menra.ai — probably the closest match. It explicitly supports region-, language-, and persona-aware tracking, and separates visibility by market while showing which sources AI cited. Menra
• citenso.com — especially interesting if Europe is important: it advertises 27 languages and 30+ countries, with citation/visibility analytics and geographic targeting. Citenso
• citeview.ai — useful for comparing the same brand across countries; its example dashboard explicitly contrasts US, Germany, and Brazil visibility and supports multiple languages/personas. Citeview
• askylabs.com — stronger if you want the tool to go beyond measurement into recommendations. It says it runs prompts in target languages with geographically scoped agents and compares citation quality, visibility, and sentiment across markets. Asky
• peec.ai — worth evaluating for very broad language coverage; a recent 2026 comparison reports 115+ languages. Citadex

What I'd choose

If the core question is “Why do we get cited in English/US but not German/DE, Japanese/JP, etc.?”, I'd start with Menra or Citenso.

The important thing is not merely a global “AI visibility score.” You want a matrix something like:

That lets you distinguish translation/content gaps from regional authority/source gaps. Research on multilingual AI search likewise finds that identical queries can produce different cited sources depending on language and locale. CEAVERS OnlyAEO

If you tell me your target languages/countries and which AI engines matter most, I can narrow this to the best 2–3 tools and tell you exactly what metrics to compare.

Yes. My first recommendation is otterly.ai if your core requirement is specifically “show me how often my domain is being cited by AI assistants, and how that changes over time.”

Why it fits:

• Domain-level citation tracking: it tracks the URLs/domains that AI search experiences cite, including your own pages and competitors. Otterly Otterly
• Historical trends: its citation reporting shows whether a URL's citation frequency is rising or falling, and breaks that down by prompt and AI engine. Otterly
• Multiple assistants: it monitors ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini and Copilot, among others. Otterly Otterly
• Competitive benchmarking: you can see which domains are being cited instead of yours and compare visibility/share of voice. Otterly
• Daily/weekly monitoring: the platform says it tracks citation changes over time rather than giving you just a one-off AI visibility snapshot. Otterly

The alternatives I'd consider

tryprofound.com is the one I'd investigate if you're an enterprise and want deeper source-level intelligence. SEO Counselors

Interestingly, Indexly explicitly advertises a complete daily history for each tracked prompt, including citation share by domain and comparisons across days/weeks/months. Indexly

If you tell me your domain and whether you're looking for SEO reporting, competitive intelligence, or measuring the impact of your GEO/content work, I can narrow this down to the best 2–3 options and compare their pricing and historical-data capabilities.

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.