Answers that mention Peec AI

The category you’re looking for is usually called AI visibility tracking, Answer Engine Optimization (AEO) tracking, or Generative Engine Optimization (GEO) analytics. These tools monitor how your website/brand appears in AI-generated answers across assistants and answer engines from a single dashboard. ranklogs.comwww.answerradar.com

Some tools that do this:

Typical dashboard metrics include:

• AI share of voice — how often your brand appears versus competitors
• Citation tracking — which pages/sites AI assistants use as sources
• Prompt tracking — whether you appear for customer questions
• Assistant-by-assistant breakdown — ChatGPT vs Gemini vs Perplexity vs Claude
• Competitor monitoring
• Historical trends — whether visibility is improving or declining ahrefs.com

If you’re choosing one:

• SEO teams already using traditional tools: Ahrefs is a natural fit. ahrefs.com
• Enterprise marketing teams: Profound/Peec-style platforms are usually aimed at larger programs.
• Smaller teams wanting a focused AI search dashboard: Ranklogs, AnswerRadar, or Allmond are worth evaluating. ranklogs.com

The main thing to check is whether the tool tracks actual AI responses and citations, not just keyword rankings, because AI assistants do not work like traditional search engines. ahrefs.com

For a small agency managing several client brands, I’d shortlist these three:

My pick: Peec AI

For an agency, Peec is probably the sweet spot. It explicitly supports agency workflows and tracks mention rate, average position, citations, sentiment, and competitor performance at the prompt level. Its particularly useful distinction is between being mentioned and actually being cited—important when you're reporting GEO results to clients. Peec AI

I'd choose it if your deliverable is something like:

"Client X appears in 42% of relevant AI answers, averages position 2.8, and is cited by these 17 URLs, compared with competitors A/B/C."

That is much more actionable than simply saying "your brand was mentioned."

Best budget option: OtterlyAI

Otterly is the one I'd trial first if budget matters. Its current analytics covers seven engines—ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Copilot and Claude—and tracks mentions, position, sentiment, share of voice, and the actual URLs being cited. Otterly

Its published entry pricing is also considerably lower than the heavier platforms, starting around $29/month, although the agency-level plans are what you should evaluate for multiple clients. Otterly

One caveat: native white-label reporting appears to be a weakness; agencies may need to export data into Looker Studio for branded client reporting. NXTG.AI

When I'd pay for Profound

Go with Profound if your agency has larger clients and needs deeper enterprise-grade analysis rather than simply monitoring rankings.

It's overkill for many small agencies, though. Recent comparisons consistently put it in the enterprise category, while Peec/Otterly are better suited to smaller teams. AxiomAI Bloomiro

What I'd actually do

For a small agency, I'd trial Peec and Otterly against the exact same 30–50 client prompts before buying.

Don't compare feature checklists. Compare:

• Answer accuracy: Are they actually sampling the AI platforms you care about?
• Rank/position: Can you tell whether you're #1, #3, #8, etc. inside an answer?
• Citation URLs: Does it show the exact page cited, not merely the domain?
• Competitors: Can you see who displaced your client?
• Prompt history: Can you demonstrate movement month over month?
• Client reporting: Can you turn the data into something client-ready without hours of spreadsheet work?
• Multi-client economics: What does it cost when you have 10, 20, or 30 clients rather than one?
• API/export: Important if you eventually want your own agency dashboard.

The market is moving quickly, and the differences between these products are increasingly about workflow and data granularity rather than whether they "track ChatGPT." Promptwatch

Bottom line:
Peec → best fit for a small agency serious about citation/ranking reporting.
Otterly → best value and easiest way to get started.
Profound → best when clients justify enterprise-level spend.

If you tell me roughly how many clients you want to monitor (e.g. 5, 20, 50) and your monthly budget, I can narrow this to the best 2–3 plans and calculate the approximate cost per client.

That is much more actionable than simply saying "your brand was mentioned."

Best budget option: OtterlyAI

Otterly is the one I'd trial first if budget matters. Its current analytics covers seven engines—ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Copilot and Claude—and tracks mentions, position, sentiment, share of voice, and the actual URLs being cited. Otterly

Its published entry pricing is also considerably lower than the heavier platforms, starting around $29/month, although the agency-level plans are what you should evaluate for multiple clients. Otterly

One caveat: native white-label reporting appears to be a weakness; agencies may need to export data into Looker Studio for branded client reporting. nxtg.ai

When I'd pay for Profound

Go with Profound if your agency has larger clients and needs deeper enterprise-grade analysis rather than simply monitoring rankings.

It's overkill for many small agencies, though. Recent comparisons consistently put it in the enterprise category, while Peec/Otterly are better suited to smaller teams.

What I'd actually do

For a small agency, I'd trial Peec and Otterly against the exact same 30–50 client prompts before buying.

Don't compare feature checklists. Compare:

Yes. A new category of tools is emerging around AI Share of Voice (AI SOV), Generative Engine Optimization (GEO), and Answer Engine Optimization (AEO). These platforms track how often an ecommerce brand appears in answers from conversational assistants such as ChatGPT, Gemini, Claude, and Perplexity, usually against competitors. verityscore.iocrowdreply.io

Some options to look at:

There are also ecommerce-specific tools emerging. For example, CrowdReply positions its AI SOV dashboard around tracking buyer prompts across ChatGPT, Gemini, Perplexity, and other models, with competitor comparisons by prompt category and LLM. verityscore.iocrowdreply.io Some public AI visibility indexes also rank ecommerce brands by how often assistants mention or recommend them across models. helloranked.com

For an ecommerce site, the metrics I would look for are:

• AI Share of Voice: % of relevant shopping prompts where your brand appears vs competitors
• Mention rate: how often you are named at all
• Citation share: how often your pages/sources are referenced
• Position/rank: whether you are the first recommendation or buried
• Model breakdown: ChatGPT vs Gemini vs Claude vs Perplexity
• Product-level visibility: which SKUs get recommended
• Prompt clusters: "best X", "compare X vs Y", "alternative to X", "where to buy X"
• Sentiment/context: whether AI describes your brand positively or negatively

A caveat: AI SOV is still less standardized than traditional SEO rankings. Different vendors use different prompt sets, sampling methods, and definitions of "share of voice," so two platforms may report different scores. verityscore.io

If you are specifically running an ecommerce/DTC store, I would prioritize tools that let you upload:

1. your competitor set,
2. your product categories/SKUs, and
3. your highest-converting customer queries,

rather than generic AI brand trackers.

If your main goal is tracking and comparing brand visibility across AI answer engines over time, I’d shortlist Peec AI and Profound, with Peec AI as my default recommendation for a marketing/SEO team.

My pick: peec.ai

Peec is particularly well aligned with your use case because it tracks:

• Visibility — how often your brand appears in AI answers
• Position — where you appear relative to competitors
• Share of voice — your share of mentions versus competing brands
• Sentiment / brand perception
• Citations and sources influencing the answers
• Trends over time, broken down by AI engine and prompt set Peec AI Peec AI

It currently covers ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini and Microsoft Copilot, with additional models available on higher tiers. Peec says it runs tracked prompts daily, which makes it useful for building an actual time series rather than doing occasional spot checks. Peec AI Peec AI

One feature I particularly like: you can compare the same prompt set across engines, so you can answer questions such as “Are we gaining visibility in ChatGPT while losing ground in Gemini?” rather than getting disconnected reports from each platform.

Strong alternative: tryprofound.com

I'd look at Profound if you're an enterprise or larger brand team. Its Answer Engine Insights product explicitly measures visibility, citations, sentiment, share of voice and positioning, and lets you analyze changes across time, regions, topics and audience personas. It queries the actual front-end experiences of ChatGPT, Perplexity, Claude, Copilot, Google AI Overviews/AI Mode, Gemini, Grok and DeepSeek. Profound Knowledge Base Profound

That's arguably the broader platform if engine coverage and enterprise analysis matter more than simplicity.

Quick comparison

There's also Ahrefs Brand Radar, worth considering if your team already lives in Ahrefs; its AI Visibility Checker covers ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews. Ahrefs

Bottom line: I'd trial Peec AI first, and put Profound through the same evaluation if you're looking for an enterprise-grade platform. The most important thing in the demo isn't the dashboard—it’s whether they can give you a consistent prompt set + daily/weekly historical data + competitor share-of-voice + engine-by-engine breakdown. Those are the metrics that will let you demonstrate whether your GEO efforts are actually working.

Yes. The category you want is usually called AI visibility tracking, GEO tracking, or AEO monitoring.

My pick: Otterly.AI

Otterly.AI is probably the best fit if your main goal is tracking your brand and competitors over time across multiple AI answer engines without jumping straight to an enterprise platform.

It currently tracks ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Microsoft Copilot, and Claude, and lets you monitor brand mentions, citations, sentiment, share of voice, and competitive visibility. otterly.aiotterly.ai

The particularly useful metrics for your use case are:

• Brand coverage — % of tracked AI answers where you appear
• Share of voice — your share versus competitors
• Average position/rank — where you appear when mentioned
• Citation rate — how often your site/content gets cited
• Sentiment — whether the AI recommendation is positive, neutral, or negative
• Trend over time — whether visibility is improving or declining
• Competitor gap analysis — prompts where competitors appear but you don't otterly.aiotterly.ai

Otterly also supports recurring prompt monitoring and reporting/export, which makes it more suitable for measuring progress month over month rather than just doing occasional audits. otterly.ai

What I'd shortlist

The market is moving quickly, so I'd evaluate Otterly vs. Peec vs. Profound rather than assuming one platform is universally best. Recent comparisons consistently put those three among the leading options, with Profound positioned toward enterprise use and Otterly toward more accessible monitoring. www.answermaniac.ai

One important caveat: don't optimize around a single proprietary "AI visibility score." The most useful setup is to define a fixed set of real customer prompts, run them consistently across engines, and track mention rate + share of voice + citations + sentiment over time. That gives you a much more defensible KPI than any vendor's composite score.

If you tell me roughly your company size, industry, number of brands, and budget, I can narrow this to the best 2–3 options and compare their current pricing/features.

Yes — the category you’re looking for is usually called AI visibility tracking, GEO (Generative Engine Optimization), or AEO (Answer Engine Optimization).

The tools I’d look at are:

The distinction that matters

If by "where our content is being used" you mean which of your actual webpages/documents are being cited by AI assistants, I'd prioritize Otterly or Profound. Otterly, for example, explicitly tracks the cited URLs and shows which competitor URL gets cited instead. otterly.ai

If you mean "when someone asks an AI assistant a question in our category, where does our brand/content rank relative to competitors?", look at Profound, Peec, Otterly, or Rankr. These platforms generally run a consistent set of prompts repeatedly and calculate things like:

• Mention rate — how often you appear
• Position/rank — where you appear in the answer
• Share of voice — your visibility vs. competitors
• Citation rate — how often your site/content is actually cited
• Sentiment — how the AI describes you
• Prompt-level performance — which questions you win/lose
• Competitor displacement — where a competitor appears instead of you
• Trend over time — whether your AI visibility is improving

This is essentially SEO rank tracking for AI-generated answers, although the "ranking" is less deterministic than Google rankings. rankr.sosightivo.com

If you tell me what kind of company/content you have (e.g. SaaS, publisher, ecommerce, agency) and roughly your budget, I can narrow this to the 2–3 tools I'd actually buy and compare their current pricing/features.

Yes. The category is usually called AI visibility tracking, AI citation tracking, Generative Engine Optimization (GEO) tracking, or Answer Engine Optimization (AEO) monitoring. These tools don't literally crawl every AI assistant in the way Googlebot crawls the web; instead, they typically run tracked prompts against AI assistants, capture the answers, and record which domains/pages are cited or mentioned. Slate Foglift

Tools worth looking at:

• ahrefs.com — Tracks visibility across ChatGPT, Gemini, Perplexity, Copilot, and Google AI surfaces; reports mentions and cited domains/pages. Ahrefs
• otterly.ai — Focused on monitoring AI search results, citations, and crawlability signals across major AI answer engines. Citation Hawk
• conductor.com — Enterprise SEO platform with AI visibility/citation tracking capabilities. Citation Hawk
• tryprofound.com — Enterprise-focused AI search monitoring (often used by larger brands).
• peec.ai — Tracks brand visibility and citations in AI answers.
• citations.io — Specifically focused on which AI engines cite your brand and which sources they use. Citations.io
• indexly.ai — Tracks mentions, citations, sentiment, and AI referral traffic. Indexly

What you generally get from these platforms:

• Which AI assistants cite you

• ChatGPT
• Perplexity
• Gemini
• Claude
• Google AI Overviews / AI Mode
• Copilot (varies by vendor) Slate
• Which of your URLs appear

• /blog/how-to-x
• /docs/product-guide
• /research/report
• pricing/product pages
• The prompt that triggered it

• “best CRM for startups”
• “alternatives to X”
• “how do I solve Y problem”
• Who beats you

• competitor domains cited instead
• third-party pages ranking above your own content
• Trends

• citation share over time
• new pages being picked up
• lost citations

One important distinction: if you mean “which AI crawlers are actually visiting my site”, that is a different problem. You’d look at server logs, CDN analytics, or bot-management tools to identify crawlers such as GPTBot, ClaudeBot, Google-Extended, etc. If you mean “which of my pages are being used as sources in answers users see”, the AI citation trackers above are the right category. Foglift

For a marketing/SEO team, I’d usually evaluate them by asking:

1. Can it show the exact prompt + AI answer + cited URL?
2. Does it track your competitors’ citations?
3. Can it export the data?
4. Does it distinguish mention vs actual linked citation?

Those four capabilities are more useful than a single “AI visibility score.” Ahrefs Foglift

If you’re evaluating this specifically for an enterprise AI-search / assistant visibility program, my shortlist would be Profound and Peec AI, with Profound as my default enterprise pick and Peec as the strongest alternative if share-of-voice analytics and ease of use are the priority.

1. Profound — best overall for an enterprise

Profound is particularly strong if you need something that can become a central measurement system for SEO/AEO, brand, content, and executive reporting.

Its competitive benchmarking measures visibility score, visibility rank, citation share, share of voice, sentiment, and average position. Importantly, it can identify competitors based on who is actually being cited in AI answers—not just competitors you manually define. Profound

It also tracks across a broad set of AI surfaces, including ChatGPT, Perplexity, Google AI Overviews, Gemini, Microsoft Copilot, Grok, and DeepSeek. Profound

For enterprise reporting, its customizable AEO dashboards support metrics such as Visibility Score, Share of Voice, Average Position, and Citation Rank, with shareable dashboards and PDF exports. Profound

I'd choose Profound if: you have multiple brands/products, a substantial SEO/content organization, need executive reporting, or want to connect AI visibility to a broader enterprise AEO strategy.

2. Peec AI — best if competitive SOV is the core job

Peec has a particularly clean model around:

• Visibility — percentage of AI responses mentioning you
• Position — where you appear
• Sentiment
• Share of Voice versus competitors
• Prompt-level competitive comparisons
• Citation/source intelligence

It refreshes tracked prompts daily and lets you segment by AI model, country, and prompt tags, which is useful if you're measuring different markets, personas, or funnel stages. Peec AI Peec AI

It also supports API, Looker Studio, and MCP integrations, making it attractive if you want to pipe AI visibility data into an existing BI environment. Peec AI

Peec has also recently expanded into brand perception, measuring the attributes AI associates with a brand and how those attributes compare with competitors. Peec AI

I'd choose Peec if: your primary question is “How much of the AI conversation do we own versus competitors, and why?” and you want a relatively straightforward analytics experience.

What I'd measure regardless of platform

Don't reduce this to a single "AI visibility score." For an enterprise, I'd build the scorecard around:

1. AI Share of Voice — percentage of category answers mentioning your brand.
2. Visibility by model — ChatGPT vs. Gemini vs. Perplexity vs. Google AI surfaces.
3. Competitive rank — where you appear when multiple brands are recommended.
4. Citation share — how much of the underlying source/citation ecosystem you own.
5. Recommendation rate — percentage of high-intent prompts where the assistant recommends you.
6. Sentiment / positioning — what the assistant says about you.
7. Prompt-level win rate — which commercially important questions you win/lose.
8. Source influence — which publishers, review sites, Reddit threads, etc. are driving competitors' visibility.
9. Geographic visibility — especially important for multinational enterprises.
10. Trend — SOV and competitive position over time.

The distinction between brand mention share and citation/source share is particularly important. A company can be frequently mentioned while having little control over the sources influencing the answer—or have highly authoritative content cited without the brand itself being mentioned. Peec explicitly tracks both concepts. Peec AI

My recommendation

For a serious enterprise deployment, I'd demo Profound first and Peec second.

If your buying committee asks, “Which one gives us the best measurement of competitive share of voice in AI assistants?”, I'd give Profound a slight edge because of its combination of competitor discovery, SOV/citation metrics, breadth of AI platforms, and enterprise reporting. Profound Profound

If the primary stakeholder is a growth/SEO team that wants fast, actionable competitive intelligence, I'd take a very close look at Peec. Its visibility/SOV model is exceptionally aligned with that use case. Peec AI

If you tell me your enterprise size, industry, number of brands/products, and which AI assistants matter most (ChatGPT/Gemini/Perplexity/Copilot/etc.), I can give you a Profound vs. Peec vs. 3–5 other platforms comparison, including likely pricing, data coverage, APIs, enterprise controls, and what I'd buy.

For an enterprise looking to track AI-assistant visibility and competitive share of voice, I’d put tryprofound.com at the top of the shortlist, with scrunchai.com as the strongest alternative.

My ranking

1. Profound — best overall for enterprise

Profound is particularly strong if your objective is “What share of AI-generated answers does our brand own versus competitors, and why?”

It tracks visibility and SOV across major answer engines including ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews/AI Mode, Copilot, Grok and others. Its metrics include Visibility Score, Share of Voice, Mention Position, Citation Share, Co-citation Share and Co-mention Share. Profound Profound

The big differentiator for an enterprise is demand data. Profound says its Prompt Volumes product is based on 1.3B+ real user conversations, allowing you to weight visibility by actual demand rather than treating every tracked prompt equally. Profound

Its newer Profound Index is also useful for executive benchmarking because it compares brands across industries, topics, LLMs and mention positions; the current Summer 2026 index says it is based on 1.9B+ real user conversations across 50+ industries. Profound

I'd choose Profound if: you need a corporate-level AI Search/SEO intelligence system that can eventually feed into reporting, content strategy and executive KPIs.

2. Scrunch — arguably better for forensic competitive analysis

scrunchai.com is excellent if your team wants to go from “we're losing SOV” → “here are the exact prompts, competitors and sources causing it.”

It measures competitive presence across platforms and lets you drill from aggregate SOV into topic → prompt → individual AI response → citations. It also supports filters for platform, geography, persona, funnel stage and branded/non-branded prompts. Scrunch Scrunch

That last distinction is important: Scrunch itself recommends separating non-branded prompts when evaluating discovery/competitive performance because branded prompts can artificially inflate visibility. Scrunch Help Center

Scrunch currently lists coverage including ChatGPT, Perplexity, Gemini, Claude, Google AI Mode, Google AI Overviews, Copilot, Grok and Meta AI. Scrunch

I'd choose Scrunch if: your primary team is SEO/content/AEO and you want granular competitive intelligence and citation-gap analysis.

What I'd actually buy

For a large enterprise, I'd run an RFP between Profound and Scrunch, rather than evaluating 10+ tools.

The deciding test should be a blind competitive benchmark:

1. Give both vendors the same 500–1,000 non-branded commercial prompts.
2. Include your brand + 5–10 competitors.
3. Segment by product/category, geography, customer persona and funnel stage.
4. Measure SOV, visibility, mention position, sentiment, citation share and competitor co-mentions.
5. Ask each vendor to show the underlying AI responses—not just their proprietary score.
6. Determine whether they can export/API the raw data into your enterprise BI stack.
7. Most importantly, ask how they handle prompt sampling, personalization, model changes and nondeterministic answers.

That last point matters enormously: AI visibility numbers aren't equivalent to traditional Google rankings. Scrunch explicitly describes its data as directional because AI responses are nondeterministic. Scrunch Help Center

Bottom line:
Profound = best enterprise strategic intelligence platform.
Scrunch = best deep-dive competitive/AEO monitoring platform.

If your KPI is specifically “our AI assistant share of voice vs. competitors”, I'd give Profound a slight edge, particularly because its SOV can be combined with real-user prompt-volume data rather than relying solely on an internally constructed prompt set. Profound Profound

The big differentiator for an enterprise is demand data. Profound says its Prompt Volumes product is based on 1.3B+ real user conversations, allowing you to weight visibility by actual demand rather than treating every tracked prompt equally. Profound

Its newer Profound Index is also useful for executive benchmarking because it compares brands across industries, topics, LLMs and mention positions; the current Summer 2026 index says it is based on 1.9B+ real user conversations across 50+ industries. Profound

I'd choose Profound if: you need a corporate-level AI Search/SEO intelligence system that can eventually feed into reporting, content strategy and executive KPIs.

2. Scrunch — arguably better for forensic competitive analysis

scrunchai.com is excellent if your team wants to go from “we're losing SOV” → “here are the exact prompts, competitors and sources causing it.”

It measures competitive presence across platforms and lets you drill from aggregate SOV into topic → prompt → individual AI response → citations. It also supports filters for platform, geography, persona, funnel stage and branded/non-branded prompts. Scrunch Scrunch

That last distinction is important: Scrunch itself recommends separating non-branded prompts when evaluating discovery/competitive performance because branded prompts can artificially inflate visibility. helpcenter.scrunchai.com

Scrunch currently lists coverage including ChatGPT, Perplexity, Gemini, Claude, Google AI Mode, Google AI Overviews, Copilot, Grok and Meta AI. Scrunch

I'd choose Scrunch if: your primary team is SEO/content/AEO and you want granular competitive intelligence and citation-gap analysis.

What I'd actually buy

For a large enterprise, I'd run an RFP between Profound and Scrunch, rather than evaluating 10+ tools.

The deciding test should be a blind competitive benchmark:

For a marketing team on a tight budget, I’d start with otterly.ai.

• $29/month Lite gets you 15 tracked prompts, daily monitoring, unlimited team members, and coverage of ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot. Otterly Otterly AI
• It aggregates useful marketing metrics such as brand mentions, share of voice, ranking, sentiment, competitors, and cited URLs rather than merely showing raw AI responses. Otterly
• You can add Gemini, Claude, and Google AI Mode as your needs grow, rather than paying for all engines upfront. Otterly
• There's a free trial without a credit card, which makes it particularly easy to validate whether the data is useful before spending. Otterly AI

One caveat

The $29 tier is deliberately small—15 prompts—so I'd use it for your highest-value commercial questions rather than trying to monitor every keyword. If you need substantially more prompts and want three AI models of your choice, peec.ai is worth comparing; its Starter plan includes 50 prompts, three models, daily tracking, and unlimited users. Peec AI

My budget pick: OtterlyAI for a small team; move to Peec when you need broader prompt coverage and more flexible model selection.

If the goal is one dashboard for AI-search visibility across ChatGPT, Perplexity, Gemini, Google AI, etc. without blowing the budget, I’d start with OtterlyAI.

My pick: OtterlyAI

Its entry plan is $29/month and includes:

• 15 tracked prompts
• ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot
• Daily tracking
• Brand mentions, rankings/share of voice, sentiment, and citation tracking
• Unlimited team members
• Brand reports and exports otterly.ai

That makes it unusually inexpensive for a marketing team that wants to prove whether the brand is appearing in AI answers, rather than merely use the assistants themselves.

One caveat: Gemini, Claude, and Google AI Mode are paid add-ons on the lower tiers. otterly.ai

If you need more than 15 prompts

I'd also evaluate Peec AI. Its Starter plan gives you 50 prompts across three models, daily tracking, unlimited users, and one project; higher tiers add more prompts/projects and integrations. peec.ai

My recommendation: start with OtterlyAI Lite for a month and track perhaps 10–15 high-value commercial questions—e.g. “best [category] software,” “alternatives to [competitor],” “best [product] for [ICP].” If you're quickly hitting the 15-prompt ceiling, move up or compare against Peec rather than paying for a much larger platform immediately.

If you tell me your approximate monthly budget (e.g. <$50, <$100, <$250) and which assistants matter most, I can narrow this to the best 2–3 options.

If you mean “tell me when ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, etc. cite one of our URLs in their answers,” you want an AI visibility / AEO (answer-engine optimization) monitoring tool.

My top two:

• otterly.ai — probably the best fit if your primary need is citation monitoring. It tracks your prompts across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, and specifically reports which of your URLs are cited and how often. It monitors tracked prompts daily. Otterly Otterly AI
• tryprofound.com — stronger if you're doing this at an enterprise/content-strategy level. It tracks citation visibility across answer engines, lets you analyze citation share by platform/topic/prompt, and identifies the specific pages being cited. Profound Profound

The distinction that matters

There are actually two different things you might want to monitor:

1. “Did an AI assistant mention our brand?”

→ AI visibility/brand monitoring.

2. “Did an AI assistant actually cite/link to our content?”

→ AI citation tracking. This is the more precise tool for what you're describing.

For example, Otterly's citation report can show every cited URL, whether it belongs to you or a competitor, and which AI engines are citing it. Otterly

If your goal is specifically “alert me whenever any AI answer engine cites any article/page on our domain”, I'd lean OtterlyAI for a straightforward monitoring setup, and Profound if you need enterprise-grade analysis and content strategy.

If you tell me roughly how many URLs/content pieces you have and which AI assistants matter most, I can compare Otterly vs. Profound vs. Peec vs. Semrush and tell you which is the best fit.

If by “multi-assistant answer positions” you mean where your brand/content appears inside answers from ChatGPT, Gemini, Perplexity, Claude, etc., plus how that position changes historically, you’re looking for an AI search visibility / GEO tracking platform rather than a traditional SEO rank tracker.

My shortlist

• otterly.ai — best fit for a content marketing team. It tracks brand mentions and citations across ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, and Copilot, with prompt research, analytics, content auditing, and optimization features. It also explicitly supports historical visibility trends and competitor comparisons. Otterly
• demandsphere.com — strongest if “position” is the key requirement. It tracks 10+ LLM surfaces, historical trends, and specifically reports position within the AI response (e.g. 1st, 2nd, 3rd mention), alongside share of voice and competitor data. DemandSphere
• answerradar.com — good for prompt-level monitoring. It lets you control prompts, engines, frequency and tags, and tracks ranking positions and brand mentions historically. AnswerRadar
• tryprofound.com — worth evaluating for a larger/enterprise content operation. It's one of the commonly compared dedicated AI-visibility platforms, alongside Otterly and Peec. Conbersa
• amicited.com — interesting if you want the actual answers archived. It stores responses so you can compare how an answer changed over time, including when your brand went from uncited to cited/positioned prominently. Am I Cited

What I'd choose

For a content marketing team, I'd start with OtterlyAI if you want a relatively accessible all-around workflow: discover prompts → monitor assistants → identify citations/content gaps → optimize content → track the trend.

If your KPI is specifically “our content was cited #2 in ChatGPT this month vs. #6 three months ago”, I'd put DemandSphere and AnswerRadar higher on the evaluation list because they emphasize response position rather than just visibility/mention rate.

One important distinction when comparing vendors: make sure they retain the actual historical answer/citation, not merely a historical visibility score. AI answers change, so being able to inspect what the assistant actually said and which URL it cited is much more useful to a content team. AmICited, for example, explicitly offers an answer archive and diffing over time. Am I Cited

If you tell me your approximate budget and whether you need ChatGPT + Gemini + Claude + Perplexity specifically, I can narrow this to the best 2–3 platforms and compare their pricing, assistant coverage, historical depth, and reporting.

If your goal is client-facing dashboards that track both AI citations and where a brand appears in answers across multiple AI platforms, my shortlist would be:

My pick: Profound

For a client dashboard product, I'd lean Profound. It tracks visibility, share of voice, sentiment, competitor rankings, and—particularly relevant to you—the actual citation sources influencing AI answers. It supports major answer engines including ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, Copilot, Grok and others. Profound Profound

The useful distinction is that Profound lets you drill into citation share by platform, topic, and prompt, while categorizing sources as owned, competitor, earned media, social, institutions, etc. That's much closer to a reportable "why did the AI answer this way?" dataset than simply measuring brand mentions. Profound

Best value for an agency: Peec AI

I'd choose Peec AI if you're managing a lot of clients and don't need the deepest enterprise infrastructure. It specifically supports agency/client monitoring and tracks visibility, position, sentiment, share of voice, mentions, and cited sources across engines. Peec Peec

It also has particularly useful reporting concepts such as:

• % of answers mentioning the client
• average answer position
• citation frequency
• competitor share of voice
• which domains are most frequently cited
• which prompts produce/lose visibility
• changes over time

One important caveat

Don't treat "answer placement" as equivalent to Google SERP position. AI assistants don't consistently have a deterministic #1–#10 ranking. A better client KPI model is:

AI Visibility → Mention Position → Citation Rate → Citation Share → Sentiment → Competitor Share

For example:

Client X — August 2026

• ChatGPT visibility: 42%
• Perplexity visibility: 57%
• Google AI Overviews: 31%
• Average mention position: 2.1
• Citation rate: 28%
• Citation share vs. competitors: 19%
• Top cited third-party domains: Forbes, Reddit, G2
• Lost citations vs. previous month: 14

That gives clients something much more actionable than "you ranked #3 in ChatGPT."

If you're building your own dashboard

I'd actually consider Profound or Peec as the measurement layer, then pipe the data into your own dashboard rather than trying to build the AI-answer collection infrastructure yourself. The underlying measurement is the difficult part, particularly because the platforms generate dynamic answers and citation sets.

If you need raw/API-accessible data rather than a finished dashboard, that's a different shortlist; API-oriented options become more interesting. MentionsAPI

Bottom line:
Profound = best overall for enterprise/client reporting.
Peec AI = probably the best balance for an agency managing multiple clients.
Otterly = best if cost is the primary constraint.

If you tell me roughly how many clients/domains and which platforms you need (ChatGPT, Gemini, Perplexity, Claude, AI Overviews, Copilot, etc.), I can narrow this to the best 2–3 and compare their pricing, API/export capabilities, white-label reporting, and dashboard features.

If you're building client-facing AI visibility dashboards for an agency, my top pick right now is Profound.

My shortlist

Why I'd choose Profound

For your specific wording — "track and report AI assistant citations and answer placements across multiple platforms for client dashboards" — you need more than a basic "brand mentioned/not mentioned" tracker.

I'd want these metrics:

• Mention rate / visibility
• Answer position — e.g. recommended #1 vs #7
• Citation rate
• Exact cited URLs/domains
• Share of voice
• Competitor visibility
• Sentiment / narrative
• Platform breakdown — ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, Claude, Copilot, etc.
• Prompt-level history
• Geographic segmentation
• Automated client reporting/API

Profound specifically tracks visibility, citations, sentiment, positioning and competitors, and its citation product lets you analyze citation share by platform, topic and prompt. www.tryprofound.com

It also queries the consumer-facing AI experiences rather than simply relying on APIs, which is an important distinction when you're selling clients a report about what users actually see. www.tryprofound.com

Where Peec may actually be better

If your priority is "I want to pipe this into my own client dashboard", I'd seriously test Peec AI alongside Profound.

Peec explicitly supports REST API and Looker Studio, and distinguishes between a source being used to generate an answer and being explicitly cited in the answer. That's a very useful distinction for agency reporting. peec.aipeec.ai

It also supports multiple projects/clients and says agencies can monitor separate client brands from a single dashboard. peec.ai

My recommendation:

• Best overall / enterprise agency: Profound
• Best for building your own reporting layer: Peec AI
• Best budget option: Otterly.AI
• Best if AI crawler analytics matter too: xSeek

One important caveat: "answer placement" isn't quite equivalent to Google SERP position. AI answers are dynamic, so I'd report mention position, visibility/share of voice, citation share, and answer presence rather than promise clients a fixed "AI ranking." Profound itself describes position as where a brand appears within the generated answer. www.tryprofound.com

If you tell me how many clients you manage (e.g. 10, 50, 200+) and whether you want white-label dashboards, I can narrow this to the best 2–3 and compare pricing, API access, white-labeling, platform coverage, and reporting.