Neutral mentions of Peec AI

For a small e-commerce team, I’d shortlist these:

• otterly.ai — probably the easiest starting point. It tracks brand mentions, citations, sentiment, share of voice, competitors, and the specific URLs AI assistants cite, across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot, and Claude. It also has AI-shopping analytics. Otterly
• tryprofound.com — stronger if your priority is product-level e-commerce visibility. Its Shopping product tracks individual SKUs, product placement, attributes, prices, merchant/checkout links, and competitor placement in ChatGPT Shopping. Its broader platform measures visibility and share of voice across major AI engines. Profound Profound
• peec.ai — worth evaluating as a middle-ground AI visibility analytics platform, particularly if you want reporting across multiple brands or markets. Current comparisons generally position it toward marketing/agency and mid-market use cases. Bloomiro Conbersa

My pick for your use case

Start with OtterlyAI if you mainly want a relatively lightweight dashboard showing:

“When people ask AI about products in our category, how often do we appear, which of our pages get cited, and how are we doing against competitors?”

Choose Profound if the more important question is:

“When ChatGPT actually recommends products, which of our SKUs appear, where do they rank, how are they described, and which merchant gets the checkout?”

That distinction matters for e-commerce: ordinary AI-search visibility and AI Shopping visibility aren't quite the same thing. Profound explicitly tracks the latter at SKU level. Profound Profound Knowledge Base

If you tell me roughly how many products/SKUs you have and your monthly budget (e.g. <$100, $100–500, $500+), I can narrow this to the best 2–3 options and compare their pricing/features.

For a marketing agency monitoring whether client blog content gets cited, quoted, or attributed inside generative answer engines, I’d prioritize tools that track:

• AI citations (which URLs are referenced)
• brand mentions (even without links)
• competitor share of voice
• prompt-level performance (which buyer questions trigger citations)
• engine coverage (ChatGPT, Perplexity, Gemini, Google AI Overviews, Claude, Copilot)
• agency reporting / white-labeling

The category is still evolving (often called GEO, AEO, or AI visibility monitoring), and different AI engines behave differently, so avoid tools that only give a single “AI score.” 1Digital® Agency AuditAE

Best options for an agency

My shortlist by agency type

If you manage 20–200 client accounts

I’d look first at:

1. Semrush + dedicated AI visibility tool

• Best if clients already buy SEO retainers.
• Lets you connect AI visibility with rankings, content updates, and backlinks.
• Citations.io or AI Citation Monitor

• Better if your deliverable is specifically “AI presence reporting.”
• Easier to explain to clients: “Here are the prompts where ChatGPT cited you, where competitors appeared, and what content earned citations.” AI Citation Monitor Citations.io
• Ahrefs Brand Radar

• Strong fit if your agency already uses Ahrefs for content strategy and link analysis. Ahrefs

If you serve enterprise brands

Consider:

• Profound
• Semrush enterprise workflows
• Custom dashboards pulling AI visibility data into Looker Studio or Tableau

Enterprise clients usually care less about a score and more about:

• “Which revenue-driving questions are we winning?”
• “Which competitors are being recommended instead?”
• “Which owned pages are being cited?”
• “What content should we create next?”

Metrics I would put in an agency client report

Avoid only reporting “AI visibility score.” Include:

• Citation rate

• % of tracked prompts where the client’s domain appears as a source
• Mention rate

• % of answers where the brand is named
• Share of AI answers

• Client vs competitors
• Top cited pages

• Which blog posts/docs/resources are earning citations
• Citation gaps

• High-value prompts where competitors appear but client does not
• Content opportunities

• Pages to update or create based on missing citations

A practical agency stack

A strong setup would be:

• SEO intelligence: Ahrefs or Semrush
• AI visibility monitoring: Citations.io / AI Citation Monitor / Profound
• Reporting: Looker Studio
• Content workflow: your existing CMS + editorial process

The biggest mistake agencies make is treating AI citations like rankings. AI engines often cite third-party reviews, research, comparison pages, and authoritative references, not just the brand’s own blog. Tracking only your own URLs misses part of the picture. AuditAE Foglift

For a marketing agency, I’d generally start with Citations.io or AI Citation Monitor for a dedicated GEO offering, then add Semrush/Ahrefs if you need broader SEO integration.

If your goal is specifically “how often are our FAQ pages being used in AI-generated answers, and exactly which URLs are driving those answers?”, I’d start with otterly.ai.

Why it fits:

• Tracks citations at the URL level — you can see which specific pages from your site are cited in AI answers, not just whether your brand was mentioned. Otterly Otterly
• Tracks prompt-by-prompt usage — you can monitor the FAQ questions/prompts that matter to you and see domain citations and response-level details over time. Otterly AI
• Covers the major assistants/search experiences including ChatGPT, Google AI Overviews/AI Mode, Gemini, Perplexity, Copilot, and Claude. Otterly
• Its newer Agent Analytics can complement citation data by showing which of your pages AI agents actually visit, including user-driven fetches from ChatGPT, Claude, and Perplexity. Otterly AI Otterly AI

How I'd use it for your FAQ

Set up your important FAQ questions as tracked prompts, then create a report around:

FAQ question → AI assistant → answer → cited URL → citation frequency

That lets you identify things like:

“Our How does X work? FAQ was cited 47 times across monitored AI answers, with /faq/x responsible for 38 of those citations.”

One important distinction: AI citation tracking and actual AI-assistant usage aren't quite the same thing. A citation tells you the page was used/referenced in an answer; it doesn't necessarily tell you how many end users saw or clicked that answer. Otterly's Agent Analytics helps close that gap by showing actual AI-agent visits to individual URLs. Otterly AI

My recommendation: trial Otterly first. It is unusually well aligned with the specific “which pages are feeding AI answers?” question rather than merely measuring generic AI visibility. Pricing currently starts at $29/month. Otterly

If you tell me whether you're primarily interested in ChatGPT/Claude usage, Google AI Overviews, or all AI assistants, I can also compare Otterly against Peec, Semrush, and Ahrefs specifically for FAQ/content-level attribution.

Yes. What you're describing is usually called AI search visibility, AI visibility, GEO (Generative Engine Optimization), or AEO (Answer Engine Optimization) software.

These platforms let you define realistic buyer questions—e.g. “What are the best accounting platforms for a 50-person SaaS company?”—then run those prompts against AI search/answer systems and measure whether your company/content appears, which competitors appear, and which URLs get cited. Otterly Arbling

The ones I'd look at

• otterly.ai — Probably the easiest starting point. It supports prompt research and tracks brand mentions and website citations across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini and Copilot. It can also show which pages are being cited. Otterly
• tryprofound.com — More enterprise-oriented. Strong if you want deep source/citation intelligence, large prompt sets, competitive analysis and reporting across multiple AI engines. SEO Counselors Bloomiro
• peec.ai — Good for marketing/SEO teams wanting to monitor prompts, competitors, mentions and citations across multiple AI engines. Kitbase Arbling
• ahrefs.com — Worth considering if you're already an Ahrefs customer; its AI visibility functionality can fit into an existing SEO workflow rather than introducing another standalone platform. UX Continuum
• semrush.com — Similar idea if you're already invested in Semrush's SEO ecosystem; its AI visibility tooling adds AI-answer monitoring to the traditional search stack. UX Continuum

What I'd choose

If your primary question is:

“When prospects ask AI assistants questions in our category, do they cite our website—and which of our pages do they cite?”

I'd start with Otterly.AI. It is specifically built around prompt tracking and citation monitoring and has a relatively low barrier to entry. Otterly

If you're doing this at enterprise scale—hundreds/thousands of prompts, many products/markets, competitive benchmarking and serious reporting—I'd evaluate Profound alongside it.

One important caveat: these tools are sampling a nondeterministic system, not measuring an absolute "AI ranking." Different sessions, personalization, location, model versions and whether an AI system is using live search can change the answer. Otterly itself notes that manual results can differ from its monitoring because of personalization/memory effects. Otterly

If you tell me what kind of content you have (e.g. SaaS website, publisher, ecommerce, B2B) and which AI assistants matter most, I can narrow this to the 2–3 tools I'd actually test and what metrics to compare.

Yes. What you’re looking for is usually called AI visibility, GEO (Generative Engine Optimization), or AEO (Answer Engine Optimization) software. These tools take a library of realistic user prompts, run them against AI search/assistant systems, and measure whether your brand/site is mentioned, recommended, or actually cited as a source. Kitbase Sona

Strong options

• otterly.ai — probably the closest match to your description. You can define prompts, monitor them across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, and see the actual URLs being cited. It also tracks competitors and citation/share-of-voice metrics. OtterlyAI Otterly
• tryprofound.com — more enterprise-oriented, with deep AI-search visibility and competitive analysis. Good if you need large-scale prompt monitoring and reporting.
• peec.ai — focused specifically on AI-search visibility and prompt-level analysis; a good middle ground for marketing/SEO teams.
• ahrefs.com — worth considering if you're already using Ahrefs. Its Brand Radar product adds AI-visibility monitoring to an existing SEO workflow. TechRadar
• semrush.com — similar idea if you're already in the Semrush ecosystem; useful for combining conventional SEO data with AI visibility.
• scrunchai.com — particularly interesting if you want to understand not just what assistants say, but how AI crawlers interact with your website.

For your specific use case

I'd evaluate them on these five capabilities:

Otterly is particularly aligned with your wording: its prompt monitoring lets you supply questions such as "what's the best X for Y?" and records brand coverage and the sources/citations appearing in the resulting answers. OtterlyAI OtterlyAI

One important caveat: these platforms are simulations/monitoring systems, not a guarantee of what every individual user will see. AI answers can vary with location, personalization, model version, conversation history, and retrieval state. Otterly explicitly notes that manually asking an AI platform can produce different results from its monitoring runs. Otterly

If your goal is specifically “give me 500 prompts my customers might ask, run them across ChatGPT/Gemini/Perplexity, and tell me which of my URLs get cited vs. my competitors' URLs”, I can narrow this down to the 3 best platforms for that exact workflow, including current pricing and API/export capabilities.

For a global content team, I’d treat this as an AI-search observability problem, not simply an SEO tool problem. You need to monitor three things separately:

1. Answer visibility — how often assistants mention/recommend your brand.
2. Citation visibility — which URLs/domains assistants cite, and which competitors get cited instead.
3. Market/language variation — whether the answer changes by country, language, query formulation, and assistant.

My shortlist

Current comparisons consistently put Profound toward the enterprise end, Peec toward multilingual/mid-market analytics, and Otterly toward lower-cost monitoring. Bloomiro MentionsAPI Marqeable

What I'd choose

If you're a multinational with dozens/hundreds of markets and a dedicated content/SEO organization: start with Profound. Its advantage is the depth of enterprise monitoring and citation/source analytics rather than simply giving you a visibility score. Bloomiro

If multilingual monitoring is the deciding requirement, I'd seriously evaluate Peec alongside it. Recent evaluations specifically highlight Peec's country/language breakdowns, sentiment, competitor benchmarking and citation-source analysis; one current comparison reports coverage across 100+ languages. Loudmink

The architecture I'd actually implement

Don't make the dashboard's headline KPI simply "AI visibility."

Create a monitoring matrix like:

Market × language × assistant × prompt cluster × brand/entity × citation

For example:

• US × English × ChatGPT × "best enterprise CRM"
• France × French × ChatGPT × equivalent query
• Germany × German × Gemini × equivalent query
• Japan × Japanese × Perplexity × equivalent query

Then track:

• Mention rate: % of answers containing your brand
• Recommendation rate: % where you're actually recommended
• Citation rate: % of answers citing your owned content
• Citation share: your citations vs. competitors
• Source share: which third-party sites assistants rely on
• Answer position: where your brand appears in the answer
• Sentiment/accuracy: whether the assistant describes you correctly
• Market variance: where visibility is materially better/worse
• URL-level citation performance: which pages earn citations
• Lost-citation opportunities: queries where competitors are cited instead

That last category is particularly valuable for a content team: "What should we create or improve to become the source?" rather than merely "our visibility went from 31 to 34."

One important caveat

Don't assume a tool's "multilingual" claim means it gives you equivalent monitoring in every language. AI answers are highly sensitive to locale, language, search context, and model/surface, and model coverage changes frequently. Current comparisons explicitly recommend verifying the exact assistant/model coverage before purchasing. Mention Radar

So for an RFP, I'd make these non-negotiable requirements:

• 20–30 priority languages
• Country-level localization
• Same prompt translated and locally authored
• ChatGPT, Gemini, Perplexity, Google AI surfaces, Claude/Copilot where relevant
• Raw answer capture, not just scores
• Every citation URL/domain exposed
• Historical citation tracking
• Competitor/source comparison
• API + CSV export
• SSO/RBAC and multi-team workspaces
• Scheduled monitoring
• Ability to distinguish localized answers from translated equivalents
• Data retention sufficient for year-over-year analysis

Bottom line: I'd run a Profound vs. Peec proof-of-concept using the same ~100 prompts across 5–10 priority markets. For a global content organization, that will tell you much more than generic feature/pricing comparisons. Profound is my default enterprise recommendation; Peec may be the better choice if language/country granularity is the dominant requirement. Bloomiro Loudmink