Answers that mention Peec AI
20 of 63 answers this week mention Peec AI. Topic: Agency reporting for AI visibility. Week of 24th to 30th Aug 2026.
"best software for agencies to track ai share of voice across multiple clients and export polished reports"
If your priority is agency use: multiple clients + AI share of voice + polished client reporting, I’d shortlist these:
| Tool | Best for | Multi-client | Share of voice | Reporting | My take |
|---|---|---|---|---|---|
| Peec AI | Best overall agency balance | ✅ | ✅ | Looker Studio / exports | Best default pick |
| Otterly.ai | Affordable agency reporting | ✅ | ✅ | Looker Studio + exports | Best value |
| Profound | Enterprise clients | ✅ | ✅ | Strong enterprise reporting | Best for large accounts |
| Scrunch AI | Reporting + optimization | ✅* | ✅ | Looker Studio | Good if you also want action recommendations |
| Baarely | Native white-label reports | ✅ | ✅ | White-label PDF + HTML | Interesting for report-heavy agencies |
*Some multi-client/workspace functionality is plan-dependent. Baarely DeepSmith
1. Peec AI — my pick for most agencies
Peec is probably the sweet spot if you're running, say, 5–30 client accounts and want a serious AI visibility product without jumping straight to enterprise software.
It tracks visibility/share of voice, position, sentiment, competitors and citations across multiple AI engines. Its agency offering supports multiple client projects, and its Looker Studio connector + exports/API give you a practical path to branded client dashboards. The Rank Masters DeepSmith
Choose it if: you want good analytics and a repeatable reporting system rather than merely an AI-monitoring dashboard.
2. Otterly.ai — best value
Otterly is compelling if you want to get an agency reporting operation running cheaply. It covers major AI surfaces, tracks mentions/citations/sentiment and share of voice, and has a Looker Studio reporting workflow. Recent agency comparisons specifically highlight it as one of the easiest routes to branded client reports. DeepSmith The Rank Masters
The tradeoff is that the polished/white-label experience is more "Otterly → Looker Studio → your template" than a completely native white-label reporting product.
Choose it if: you have a strong Looker Studio template and want to keep software costs down.
3. Profound — best for enterprise
Profound is the one I'd investigate for large clients where AI visibility is becoming a substantial strategic reporting service. It has particularly deep analytics, broad answer-engine coverage and enterprise-oriented capabilities. Recent comparisons put it ahead for enterprise use, while noting that its white-label reporting is less straightforward than agency-native alternatives. Baarely DeepSmith
Choose it if: clients care about sophisticated research, prompt volumes, competitive intelligence and enterprise governance more than minimizing your tooling cost.
4. Scrunch AI
Scrunch is worth looking at if you don't want reporting to stop at "your share of voice went from 18% → 24%." It combines visibility monitoring with recommendations/content-oriented workflows and supports Looker Studio reporting. Baarely DeepSmith
Choose it if: you're selling GEO/AEO as an optimization service, not just a measurement service.
5. Baarely — particularly interesting for polished deliverables
If the report itself is the product, Baarely deserves a demo. Current comparisons report native white-label PDF and self-contained HTML reports, specifically aimed at agencies. Baarely
That's a meaningful distinction: with Peec/Otterly, you may build your own beautiful Looker Studio reporting layer; with Baarely, the vendor is explicitly leaning into the agency report workflow.
What I'd buy
For an agency, I'd rank the buying decisions:
Peec → Otterly → Profound → Scrunch → Baarely
But there's an important wrinkle:
- Want the best analytics/workflow: Peec
- Want lowest cost + good reporting: Otterly
- Want enterprise-grade intelligence: Profound
- Want visibility + recommendations: Scrunch
- Want gorgeous white-label PDFs/HTML: Baarely
And I wouldn't choose based solely on the number of AI engines. What matters more is whether it can give you consistent prompt sets, competitor SOV, citation/source analysis, historical trends, client isolation, scheduled reporting and a reusable branded report. That's what determines whether your team can actually run 20+ accounts without creating a monthly reporting nightmare. DeepSmith
If you tell me roughly how many clients you have (e.g. 5, 20, 50+) and whether you want PDF reports or a live branded dashboard, I can narrow this to the 2–3 best options and compare their current agency pricing.
It tracks visibility/share of voice, position, sentiment, competitors and citations across multiple AI engines. Its agency offering supports multiple client projects, and its Looker Studio connector + exports/API give you a practical path to branded client dashboards. The Rank Masters DeepSmith
Choose it if: you want good analytics and a repeatable reporting system rather than merely an AI-monitoring dashboard.
2. Otterly.ai — best value
Otterly is compelling if you want to get an agency reporting operation running cheaply. It covers major AI surfaces, tracks mentions/citations/sentiment and share of voice, and has a Looker Studio reporting workflow. Recent agency comparisons specifically highlight it as one of the easiest routes to branded client reports. DeepSmith The Rank Masters
The tradeoff is that the polished/white-label experience is more "Otterly → Looker Studio → your template" than a completely native white-label reporting product.
Choose it if: you have a strong Looker Studio template and want to keep software costs down.
3. Profound — best for enterprise
Profound is the one I'd investigate for large clients where AI visibility is becoming a substantial strategic reporting service. It has particularly deep analytics, broad answer-engine coverage and enterprise-oriented capabilities. Recent comparisons put it ahead for enterprise use, while noting that its white-label reporting is less straightforward than agency-native alternatives. Baarely DeepSmith
Choose it if: clients care about sophisticated research, prompt volumes, competitive intelligence and enterprise governance more than minimizing your tooling cost.
4. Scrunch AI
Scrunch is worth looking at if you don't want reporting to stop at "your share of voice went from 18% → 24%." It combines visibility monitoring with recommendations/content-oriented workflows and supports Looker Studio reporting. Baarely DeepSmith
Choose it if: you're selling GEO/AEO as an optimization service, not just a measurement service.
5. Baarely — particularly interesting for polished deliverables
If the report itself is the product, Baarely deserves a demo. Current comparisons report native white-label PDF and self-contained HTML reports, specifically aimed at agencies. Baarely
That's a meaningful distinction: with Peec/Otterly, you may build your own beautiful Looker Studio reporting layer; with Baarely, the vendor is explicitly leaning into the agency report workflow.
What I'd buy
For an agency, I'd rank the buying decisions:
Peec → Otterly → Profound → Scrunch → Baarely
But there's an important wrinkle:
- Want the best analytics/workflow: Peec
- Want lowest cost + good reporting: Otterly
- Want enterprise-grade intelligence: Profound
- Want visibility + recommendations: Scrunch
- Want gorgeous white-label PDFs/HTML: Baarely
And I wouldn't choose based solely on the number of AI engines. What matters more is whether it can give you consistent prompt sets, competitor SOV, citation/source analysis, historical trends, client isolation, scheduled reporting and a reusable branded report. That's what determines whether your team can actually run 20+ accounts without creating a monthly reporting nightmare.
Behind this answer: no web searches, 4 tracked brands mentioned
ChatGPT answered from its own knowledge, without searching the web.
Tracked brands mentioned
If your priority is agency-scale AI share of voice + polished client reporting, I’d shortlist these:
| Platform | Best for | Multi-client | Share of voice | Client-ready reporting |
|---|---|---|---|---|
| Peec AI | Best overall agency workflow | Excellent | ✅ | ✅ Strong |
| Zumi | White-label/QBR reporting | Excellent | ✅ | ✅ Excellent |
| Rankfender | Automated polished reports | Excellent | ✅ | ✅ Excellent |
| Seerly | Evidence-backed reporting | Excellent | ✅ | ✅ |
| Genrank | Straightforward multi-client tracking | ✅ | ✅ | ✅ |
| Citenzo | Simple white-label reports | ✅ | ✅ | ✅ |
1. peec.ai — my top pick
Peec is probably the strongest fit if you're an SEO/GEO agency managing a meaningful client roster. It gives you separate client workspaces, competitor benchmarking, daily tracking across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini and Copilot, and explicit share-of-voice metrics. Peec AI Peec AI
The reporting workflow is particularly compelling: branded Looker Studio dashboards, CSV/API exports, and its MCP workflow can automatically turn multiple client reports into a Google Slides deck with one slide per client. Peec AI Peec AI
Best if: you want one system to run the whole agency operation rather than just generate a pretty report.
2. zumihq.com — best for white-label/QBRs
Zumi looks especially good if the deliverable is what matters most. It supports isolated client workspaces, competitor sets, share of voice, and up to nine AI engines. Its agency plans include white-label reporting, with agency logo/colors on exports and branded PDFs. Zumi
Best if: you want clients to feel like the report is entirely your agency's proprietary reporting product.
3. rankfender.com — best automated report generator
Rankfender is unusually focused on eliminating the "build another Google Slides report" problem. It produces 10-section white-label reports, includes competitive share of voice, can combine AI visibility with GSC/GA4 data, schedules weekly/monthly delivery, and exports PDFs. RankFender
Best if: your biggest pain is monthly reporting production rather than analysis.
4. seerly.app — best for defensible client reporting
A nice differentiator is the evidence trail: clients can drill from a metric back to the underlying AI response. It reports visibility, sentiment, citations, competitive SOV and rolling 7/30/90-day comparisons, with agency branding. Seerly
Best if: sophisticated clients are going to challenge where your AI visibility numbers came from.
5. genrank.io — good simple alternative
Genrank has separate workspaces per client, client-specific prompts/competitors, daily visibility/position/citation/sentiment tracking and downloadable client reports. Its usage-based billing could also be attractive if your client roster fluctuates. Genrank
6. citenzo.com — reporting-first option
Citenzo is worth considering if you primarily want a clean white-label monthly AI visibility report: score, SOV, competitor positioning and before/after lift. It supports multiple client projects under one dashboard. Citenzo
What I'd choose
For an SEO/GEO agency with 10+ clients: Peec AI.
For a premium agency where the PDF/QBR experience is the product: Zumi or Rankfender.
For clients who demand proof behind every number: Seerly.
One important distinction: don't evaluate these solely on "AI visibility score." For agency reporting, I'd insist on SOV vs named competitors + mention rate + position + citations/sources + trend over time + underlying AI responses + white-label export. Otherwise you're essentially selling clients a vanity score.
If you tell me roughly how many clients you manage (e.g. 10, 50, 200) and whether you want PDF, Google Slides, Looker Studio, or a client portal, I can narrow this to the best 2–3 and compare current pricing/features.
Behind this answer: no web searches, 1 tracked brand mentioned
ChatGPT answered from its own knowledge, without searching the web.
Tracked brands mentioned
Answer 3 of 3, 24th Aug 2026, unknown, mentions you positive tone, cites your site
If your priority is multi-client AI share-of-voice tracking + polished agency reporting, I’d shortlist these:
| Tool | Best for | Multi-client | Share of voice | Client reporting | My take |
|---|---|---|---|---|---|
| peec.ai | Agencies | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | Best overall |
| tryprofound.com | Enterprise agencies | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | Best depth |
| scrunchai.com | Larger agencies / enterprise | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | Strong reporting + optimization |
| otterly.ai | Budget-conscious agencies | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ | Best inexpensive option |
| ahrefs.com | Agencies already using Ahrefs | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | Convenient if you're in Ahrefs |
🥇 My pick: Peec AI
For an agency specifically, Peec is probably the closest match to what you're describing. Its agency offering is explicitly designed around running multiple clients from one account, with branded dashboards, automated reporting, CSV/API exports, and client-facing dashboards that don't require clients to log in. Peec AI Peec AI
The particularly useful part is its reporting automation: Peec says its MCP can pull visibility, sentiment and share of voice, compare week-over-week, generate client summaries, and compile them into a Google Slides deck with one slide per client. Peec AI
That's unusually well aligned with an agency workflow.
🏢 Profound if reporting depth matters more than agency economics
tryprofound.com is the one I'd investigate if you're dealing with larger clients and want deeper enterprise-grade AI-search intelligence. It has broader answer-engine coverage and sophisticated citation/visibility analysis, but it's less compelling if your primary requirement is efficiently producing beautiful recurring reports across dozens of smaller accounts. Bloomiro DataDab
💰 Otterly if you want to keep costs down
otterly.ai is attractive for agencies that need the basic measurement layer without jumping to enterprise pricing. Its weakness for your use case is reporting: third-party comparisons note that it doesn't offer native white-label reporting, so you'd likely build the presentation layer in Looker Studio or another reporting system. Baarely
🎯 What I'd choose by agency size
- 5–30 clients: Peec AI
- 30–100+ clients: Peec AI, then evaluate Profound if you need significantly deeper enterprise data
- Small agency / testing the service: Otterly.ai
- Enterprise agency with sophisticated content/AEO workflows: Scrunch AI or Profound
- Already heavily invested in Ahrefs: Ahrefs Brand Radar
One important distinction: don't evaluate these purely on "AI visibility score." For client reporting, I'd insist on share of voice by prompt/category, competitor comparison, mention rate, citation share, sentiment, trend over time, and export/API access. Those are what turn an interesting AI-search dashboard into something you can actually put in a monthly client deck. DataDab
If I were buying today for an agency, I'd demo Peec first. Its agency workflow and automated client reporting are the strongest match to your requirements. Peec AI Peec AI
That's unusually well aligned with an agency workflow.
🏢 Profound if reporting depth matters more than agency economics
tryprofound.com is the one I'd investigate if you're dealing with larger clients and want deeper enterprise-grade AI-search intelligence. It has broader answer-engine coverage and sophisticated citation/visibility analysis, but it's less compelling if your primary requirement is efficiently producing beautiful recurring reports across dozens of smaller accounts. bloomiro.com datadab.com
💰 Otterly if you want to keep costs down
otterly.ai is attractive for agencies that need the basic measurement layer without jumping to enterprise pricing. Its weakness for your use case is reporting: third-party comparisons note that it doesn't offer native white-label reporting, so you'd likely build the presentation layer in Looker Studio or another reporting system.
Behind this answer: no web searches, 5 tracked brands mentioned
ChatGPT answered from its own knowledge, without searching the web.
Tracked brands mentioned
"is there a platform that helps an agency monitor ai citations and produce white-label reports for clients"
Yes. There are now several platforms specifically aimed at agencies selling AI visibility / GEO as a recurring service, with multi-client monitoring and white-label reporting.
A few worth looking at:
- peec.ai — probably one of the more mature options. Tracks mentions and citations across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini and Copilot, with multi-client management, automated reporting, APIs, and branded Looker Studio dashboards. Peec AI
- geneo.app — explicitly positioned as a white-label AI visibility platform. Offers your own domain, logo, client portal, and client-facing reports, with metrics such as citations and share of voice. Geneo
- qwairy.co — built around multi-client GEO management, portfolio dashboards, client access, white-label reporting, and Looker Studio integration. Qwairy
- towergeo.com — particularly agency-oriented: multi-client workspaces, competitor tracking, white-label PDFs, branded client dashboards, custom domains and scheduled reports. Tower GEO
- agencyscope.ai — more narrowly focused on the reporting workflow. It runs recurring checks across ChatGPT, Perplexity and Gemini and turns the evidence into white-label PDFs. AgencyScope
- jujugeo.com — interesting if you want more than reporting: it identifies where competitors are being cited instead, drafts fixes, then re-checks the same query after publishing to demonstrate citation movement. Its agency tier currently advertises up to 25 brands and white-label reporting. JujuGeo
- aisearchrank.ai — positioned as a full agency GEO platform, combining multi-client management, white-label reporting, audits, optimization and publishing workflows. AI Search Rank
If you're evaluating this as an agency
I'd separate them into three categories:
| Need | Platforms I'd investigate |
|---|---|
| Just monitor + report | AgencyScope, Peec |
| Full white-label client portal | Geneo, Qwairy, Tower GEO |
| Monitor → identify citation gaps → optimize | jujuGEO, AI Search Rank |
Peec is probably the first one I'd demo if you already have an SEO/content agency and want to add AI visibility reporting without rebuilding your reporting stack. Its API/MCP and Looker Studio integration are especially useful if you want to automate reports across a large client roster. Peec AI Peec AI
If you're thinking about building a platform like this, there's also a pretty interesting gap: most tools measure "did the AI mention/cite my client?", but fewer turn that into a genuinely useful agency deliverable—e.g. which competitor got cited instead, which source caused it, what should we change, and did the citation move after the change? jujuGEO is explicitly moving in that direction. JujuGeo
I can also compare 10–15 of these platforms on pricing, AI engines, citation-level data, API, white-label portals, Looker Studio, automated reports, and number of client accounts if you're deciding which one to use.
Behind this answer: no web searches, 1 tracked brand mentioned
ChatGPT answered from its own knowledge, without searching the web.
Tracked brands mentioned
"is there a platform that can track client-specific ai answer snippets and produce client-facing summaries"
Yes. There are a few categories of platforms that overlap with what you're describing, but I don't know of one that does exactly "track client-specific AI answer snippets across LLMs and automatically produce client-facing executive summaries" out of the box. It's an emerging space.
Depending on what you mean by "AI answer snippets," here are the closest fits:
| Platform | Tracks | Client-facing summaries | Best for |
|---|---|---|---|
| AgentSight | AI conversations, transcripts, usage, analytics | Yes—built to expose dashboards to clients | Agencies building AI assistants AgentSight.io |
| Echo AI | Customer conversations, topic clustering, sentiment | Yes—AI-generated conversation summaries | Support/customer success Echo AI |
| Tribble | Approved answers, buyer questions, knowledge gaps | Executive insights and answer analytics | Sales/proposals/customer-facing answers Tribble Tribble |
| Metricsense | Call/chat/ticket answers | AI insight reports | CX analytics Metricsense |
If you're referring to AI search visibility (e.g., "How does ChatGPT answer questions about Client A?"), that's a different category. Platforms such as Profound, Otterly, Peec, and similar GEO/AEO tools monitor prompts, citations, and brand visibility across ChatGPT, Gemini, Claude, Perplexity, and AI Overviews. Many agencies use these to generate recurring client reports. TechRadar Reddit Reddit
What I think you're envisioning
From your wording, I imagine something more like this:
- Define 100–500 prompts per client.
- Run those prompts daily or weekly across ChatGPT, Claude, Gemini, Perplexity, etc.
- Store every answer.
- Detect changes: - New mentions
- Lost mentions
- Competitor displacement
- Incorrect facts
- Sentiment shifts
- Cluster answers into themes.
- Generate a polished client report such as: > "This month your brand appeared in 64% of AI recommendations (+8%). AI increasingly associates you with enterprise compliance, but still omits your SOC 2 certification. Competitor X is replacing you for pricing-related queries."
I don't know of a mature platform that combines cross-LLM answer archiving, semantic diffing, executive summaries, and white-label agency reporting in one product. Most current tools stop at dashboards and visibility metrics rather than producing narrative, client-ready summaries. Community discussions also suggest the market is still early and many tools focus on analytics more than actionable reporting. Reddit Reddit
If you were building this
A compelling feature set could include:
- Client-specific prompt libraries
- Scheduled runs across multiple LLMs
- Snippet-level version history ("this answer changed since last week")
- Competitor comparison
- Hallucination/error detection
- Executive summaries generated automatically
- White-label PDF/PowerPoint exports
- Slack or email alerts for major changes
That combination would be especially attractive for marketing agencies, SEO/GEO consultancies, PR firms, and enterprise AI strategy teams.
Is your goal AI search/GEO reporting (tracking how public LLMs answer about clients), or tracking responses from AI assistants you've built for each client? Those are related but distinct problems, and the best platform depends on which one you're solving.
Behind this answer: no web searches, 3 tracked brands mentioned
ChatGPT answered from its own knowledge, without searching the web.
Tracked brands mentioned
Yes. There are a few categories of platforms that overlap with what you're describing, but I don't know of one that does exactly "track client-specific AI answer snippets across LLMs and automatically produce client-facing executive summaries" out of the box. It's an emerging space.
Depending on what you mean by "AI answer snippets," here are the closest fits:
| Platform | Tracks | Client-facing summaries | Best for |
|---|---|---|---|
| AgentSight | AI conversations, transcripts, usage, analytics | Yes—built to expose dashboards to clients | Agencies building AI assistants AgentSight.io |
| Echo AI | Customer conversations, topic clustering, sentiment | Yes—AI-generated conversation summaries | Support/customer success Echo AI |
| Tribble | Approved answers, buyer questions, knowledge gaps | Executive insights and answer analytics | Sales/proposals/customer-facing answers Tribble Tribble |
| Metricsense | Call/chat/ticket answers | AI insight reports | CX analytics Metricsense |
If you're referring to AI search visibility (e.g., "How does ChatGPT answer questions about Client A?"), that's a different category. Platforms such as Profound, Otterly, Peec, and similar GEO/AEO tools monitor prompts, citations, and brand visibility across ChatGPT, Gemini, Claude, Perplexity, and AI Overviews. Many agencies use these to generate recurring client reports. TechRadar Reddit Reddit
What I think you're envisioning
From your wording, I imagine something more like this:
- Define 100–500 prompts per client.
- Run those prompts daily or weekly across ChatGPT, Claude, Gemini, Perplexity, etc.
- Store every answer.
- Detect changes: - New mentions
- Lost mentions
- Competitor displacement
- Incorrect facts
- Sentiment shifts
- Cluster answers into themes.
- Generate a polished client report such as: > "This month your brand appeared in 64% of AI recommendations (+8%). AI increasingly associates you with enterprise compliance, but still omits your SOC 2 certification. Competitor X is replacing you for pricing-related queries."
I don't know of a mature platform that combines cross-LLM answer archiving, semantic diffing, executive summaries, and white-label agency reporting in one product. Most current tools stop at dashboards and visibility metrics rather than producing narrative, client-ready summaries. Community discussions also suggest the market is still early and many tools focus on analytics more than actionable reporting. Reddit Reddit
If you were building this
A compelling feature set could include:
- Client-specific prompt libraries
- Scheduled runs across multiple LLMs
- Snippet-level version history ("this answer changed since last week")
- Competitor comparison
- Hallucination/error detection
- Executive summaries generated automatically
- White-label PDF/PowerPoint exports
- Slack or email alerts for major changes
That combination would be especially attractive for marketing agencies, SEO/GEO consultancies, PR firms, and enterprise AI strategy teams.
Is your goal AI search/GEO reporting (tracking how public LLMs answer about clients), or tracking responses from AI assistants you've built for each client? Those are related but distinct problems, and the best platform depends on which one you're solving.
Behind this answer: no web searches, 3 tracked brands mentioned
ChatGPT answered from its own knowledge, without searching the web.
Tracked brands mentioned
Answer 3 of 4, 25th Aug 2026, unknown, mentions you neutral tone
Yes. There are a few categories of platforms that overlap with what you're describing, but I don't know of one that does exactly "track client-specific AI answer snippets across LLMs and automatically produce client-facing executive summaries" out of the box. It's an emerging space.
Depending on what you mean by "AI answer snippets," here are the closest fits:
| Platform | Tracks | Client-facing summaries | Best for |
|---|---|---|---|
| AgentSight | AI conversations, transcripts, usage, analytics | Yes—built to expose dashboards to clients | Agencies building AI assistants AgentSight.io |
| Echo AI | Customer conversations, topic clustering, sentiment | Yes—AI-generated conversation summaries | Support/customer success Echo AI |
| Tribble | Approved answers, buyer questions, knowledge gaps | Executive insights and answer analytics | Sales/proposals/customer-facing answers Tribble Tribble |
| Metricsense | Call/chat/ticket answers | AI insight reports | CX analytics Metricsense |
If you're referring to AI search visibility (e.g., "How does ChatGPT answer questions about Client A?"), that's a different category. Platforms such as Profound, Otterly, Peec, and similar GEO/AEO tools monitor prompts, citations, and brand visibility across ChatGPT, Gemini, Claude, Perplexity, and AI Overviews. Many agencies use these to generate recurring client reports. TechRadar Reddit Reddit
What I think you're envisioning
From your wording, I imagine something more like this:
- Define 100–500 prompts per client.
- Run those prompts daily or weekly across ChatGPT, Claude, Gemini, Perplexity, etc.
- Store every answer.
- Detect changes: - New mentions
- Lost mentions
- Competitor displacement
- Incorrect facts
- Sentiment shifts
- Cluster answers into themes.
- Generate a polished client report such as: > "This month your brand appeared in 64% of AI recommendations (+8%). AI increasingly associates you with enterprise compliance, but still omits your SOC 2 certification. Competitor X is replacing you for pricing-related queries."
I don't know of a mature platform that combines cross-LLM answer archiving, semantic diffing, executive summaries, and white-label agency reporting in one product. Most current tools stop at dashboards and visibility metrics rather than producing narrative, client-ready summaries. Community discussions also suggest the market is still early and many tools focus on analytics more than actionable reporting. Reddit Reddit
If you were building this
A compelling feature set could include:
- Client-specific prompt libraries
- Scheduled runs across multiple LLMs
- Snippet-level version history ("this answer changed since last week")
- Competitor comparison
- Hallucination/error detection
- Executive summaries generated automatically
- White-label PDF/PowerPoint exports
- Slack or email alerts for major changes
That combination would be especially attractive for marketing agencies, SEO/GEO consultancies, PR firms, and enterprise AI strategy teams.
Is your goal AI search/GEO reporting (tracking how public LLMs answer about clients), or tracking responses from AI assistants you've built for each client? Those are related but distinct problems, and the best platform depends on which one you're solving.
Behind this answer: no web searches, 3 tracked brands mentioned
ChatGPT answered from its own knowledge, without searching the web.
Tracked brands mentioned
Answer 4 of 4, 24th Aug 2026, unknown, mentions you neutral tone
Yes. There are a few categories of platforms that overlap with what you're describing, but I don't know of one that does exactly "track client-specific AI answer snippets across LLMs and automatically produce client-facing executive summaries" out of the box. It's an emerging space.
Depending on what you mean by "AI answer snippets," here are the closest fits:
| Platform | Tracks | Client-facing summaries | Best for |
|---|---|---|---|
| AgentSight | AI conversations, transcripts, usage, analytics | Yes—built to expose dashboards to clients | Agencies building AI assistants AgentSight.io |
| Echo AI | Customer conversations, topic clustering, sentiment | Yes—AI-generated conversation summaries | Support/customer success Echo AI |
| Tribble | Approved answers, buyer questions, knowledge gaps | Executive insights and answer analytics | Sales/proposals/customer-facing answers Tribble Tribble |
| Metricsense | Call/chat/ticket answers | AI insight reports | CX analytics Metricsense |
If you're referring to AI search visibility (e.g., "How does ChatGPT answer questions about Client A?"), that's a different category. Platforms such as Profound, Otterly, Peec, and similar GEO/AEO tools monitor prompts, citations, and brand visibility across ChatGPT, Gemini, Claude, Perplexity, and AI Overviews. Many agencies use these to generate recurring client reports. TechRadar Reddit Reddit
What I think you're envisioning
From your wording, I imagine something more like this:
- Define 100–500 prompts per client.
- Run those prompts daily or weekly across ChatGPT, Claude, Gemini, Perplexity, etc.
- Store every answer.
- Detect changes: - New mentions
- Lost mentions
- Competitor displacement
- Incorrect facts
- Sentiment shifts
- Cluster answers into themes.
- Generate a polished client report such as: > "This month your brand appeared in 64% of AI recommendations (+8%). AI increasingly associates you with enterprise compliance, but still omits your SOC 2 certification. Competitor X is replacing you for pricing-related queries."
I don't know of a mature platform that combines cross-LLM answer archiving, semantic diffing, executive summaries, and white-label agency reporting in one product. Most current tools stop at dashboards and visibility metrics rather than producing narrative, client-ready summaries. Community discussions also suggest the market is still early and many tools focus on analytics more than actionable reporting. Reddit Reddit
If you were building this
A compelling feature set could include:
- Client-specific prompt libraries
- Scheduled runs across multiple LLMs
- Snippet-level version history ("this answer changed since last week")
- Competitor comparison
- Hallucination/error detection
- Executive summaries generated automatically
- White-label PDF/PowerPoint exports
- Slack or email alerts for major changes
That combination would be especially attractive for marketing agencies, SEO/GEO consultancies, PR firms, and enterprise AI strategy teams.
Is your goal AI search/GEO reporting (tracking how public LLMs answer about clients), or tracking responses from AI assistants you've built for each client? Those are related but distinct problems, and the best platform depends on which one you're solving.
Behind this answer: no web searches, 3 tracked brands mentioned
ChatGPT answered from its own knowledge, without searching the web.
Tracked brands mentioned
"what tool should a boutique agency use to identify which pages get cited by ai assistants and make client reports"
For a boutique agency, I’d shortlist Otterly.AI and Peec AI, with Otterly.AI probably the better fit if your specific need is “which pages are AI assistants citing?” + client reporting.
My pick: Otterly.AI
otterly.ai is unusually well aligned with your use case:
- URL-level citation tracking — it can show which specific pages/URLs are being cited, not just whether the client's domain appears. Otterly Otterly
- Citation reports — its Citation Details view and Winners & Losers reporting are specifically designed to identify the sources influencing AI answers. Otterly
- Multi-client workspaces — you can manage different clients, prompts, reports, and team members under one subscription. Otterly
- Exports + Looker Studio — useful if you want to put the data into your own branded monthly reporting system rather than sending clients into another SaaS dashboard. Otterly
- It now covers ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Copilot and Claude, which makes the report considerably more useful than a ChatGPT-only tracker. Otterly
The key distinction I'd make when evaluating tools is:
Don't buy a tool that only tells you “your brand was mentioned.” Buy one that gives you the actual cited URLs.
A client report can then say “These 12 pages generated 73% of your AI citations this month” and identify which competitor/source pages are winning the remaining queries. That's much more actionable than an abstract “AI visibility score.”
Runner-up: Peec AI
peec.ai is probably the one I'd demo alongside Otterly. It is explicitly positioned for agencies and tracks mentions, position, citations and sentiment, including which client pages get cited versus skipped. Peec AI
I'd lean toward Peec if you want a cleaner agency-facing analytics experience and care heavily about daily/weekly visibility trends.
What I'd choose by agency type
| Your situation | I'd choose |
|---|---|
| Small boutique agency, ~5–30 clients | Otterly.AI |
| Main deliverable = monthly AI/GEO report | Otterly.AI |
| Need specific cited URLs/pages | Otterly.AI |
| Want Looker Studio/custom reporting | Otterly.AI |
| More sophisticated AI visibility analytics | Peec AI |
| Enterprise GEO program / large brands | Profound |
| Already paying for Semrush | Semrush AI Visibility Toolkit |
The broader 2026 market comparisons also put Otterly and Peec toward the more accessible end, while Profound is more enterprise-oriented. Prism News Refine AI
One important reporting trick
I'd actually build the agency report around four metrics, rather than “AI visibility”:
- AI mentions — did the client get named?
- AI citations — did an AI engine actually cite the client's site?
- Cited pages — which URLs are earning those citations?
- Citation gaps — which URLs/pages from competitors are being cited instead?
That fourth metric is where the commercial value gets interesting: you can turn the report directly into “here are the pages we should create/improve next.”
And this matters because AI citation patterns are changing very quickly; recent data has shown major shifts in which domains AI systems cite, even over a matter of weeks. Business Insider Axios
If I were setting this up for a boutique SEO/content agency today, I'd trial Otterly first, Peec second, and judge them specifically on whether their exported data gives you clean prompt → AI answer → cited URL → competitor → date data. That determines whether you can produce genuinely useful client reports rather than another vanity dashboard.
What I'd choose by agency type
| Your situation | I'd choose |
|---|---|
| Small boutique agency, ~5–30 clients | Otterly.AI |
| Main deliverable = monthly AI/GEO report | Otterly.AI |
| Need specific cited URLs/pages | Otterly.AI |
| Want Looker Studio/custom reporting | Otterly.AI |
| More sophisticated AI visibility analytics | Peec AI |
| Enterprise GEO program / large brands | Profound |
| Already paying for Semrush | Semrush AI Visibility Toolkit |
The broader 2026 market comparisons also put Otterly and Peec toward the more accessible end, while Profound is more enterprise-oriented.
One important reporting trick
I'd actually build the agency report around four metrics, rather than “AI visibility”:
Behind this answer: no web searches, 4 tracked brands mentioned
ChatGPT answered from its own knowledge, without searching the web.
Tracked brands mentioned
For a boutique agency, I’d shortlist Peec AI first, with Profound as the more enterprise-oriented alternative.
My pick: Peec AI
It maps unusually well to your specific use case:
- Identifies the exact client URLs being cited by AI engines—not just whether the brand was mentioned. You can see retrievals, citation rate, prompts triggering each URL, and the actual AI answers. Peec.ai Docs
- Tracks ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, and Claude, among others. Peec AI
- Has multi-client agency workflows and automated reporting.
- Offers white-label dashboards that clients can access without a Peec login.
- Exports data to BigQuery, Tableau, Power BI, CSV, etc. Peec AI
- Its MCP/API can automate a weekly process like: “Which of this client's pages gained/lost AI citations this week, why, and what should we recommend?” and generate client-ready reports. Peec AI Peec.ai Docs
That last part is particularly interesting for a boutique agency because you can turn the tool into a repeatable reporting product, rather than having an SEO strategist manually inspect AI answers every month.
When I'd choose Profound instead
Profound is probably the better choice if your clients are larger and you want a more sophisticated AEO/GEO intelligence platform.
Its citation tooling lets you analyze citation share by platform, topic, prompt, and source category, while its newer Pages view connects page-level citation performance with AI bot visits and indexing data. Profound Profound Knowledge Base
It also has excellent client-facing reporting: customizable dashboards, public links, and PDF exports. Profound
How I'd decide
| If your agency needs… | Pick |
|---|---|
| Lots of SMB/mid-market clients | Peec AI |
| Exact URLs/pages being cited | Peec AI |
| Automated recurring client reports | Peec AI |
| White-label agency dashboards | Peec AI |
| API/MCP automation | Peec AI |
| Enterprise AEO intelligence | Profound |
| Deep competitive citation analysis | Profound |
| Page performance + AI crawler data | Profound |
One important distinction: “brand mentioned” and “client page cited” are different metrics. For an agency report, I'd make cited URLs a first-class metric. A client might be mentioned frequently in ChatGPT while the AI is actually citing a third-party review, Reddit thread, or competitor page. Peec explicitly separates retrievals from explicit citations, which makes that distinction much easier to report. Peec.ai Docs
If I were building the boutique-agency stack today: Peec AI → Looker Studio/your reporting layer → automated weekly/monthly narrative. That gives you a relatively clean path from “here are the pages AI is citing” → “here's what changed” → “here's what we should optimize next.” Peec AI
Behind this answer: no web searches, 2 tracked brands mentioned
ChatGPT answered from its own knowledge, without searching the web.
Tracked brands mentioned
Answer 3 of 3, 24th Aug 2026, gpt-5-6, mentions you positive tone, cites your site
For a boutique agency whose main job is “show clients which pages AI assistants are citing, and turn that into a polished recurring report,” I’d shortlist these:
| Tool | Best fit | Citation/page-level data | Client reporting |
|---|---|---|---|
| OtterlyAI | Best overall for a boutique agency | Yes — identifies cited URLs and frequency | PDF/CSV, API, Looker Studio |
| Profound | Larger/enterprise clients | Excellent, very deep | Strong, multi-client |
| Peec AI | Clean visibility dashboards | Yes | Strong agency-oriented reporting |
| Scrunch AI | Agencies wanting crawler/agent data too | Yes | Strong agency functionality |
My pick: OtterlyAI
For your specific use case, Otterly is probably the sweet spot. It explicitly tracks which URLs AI engines cite, not merely whether the brand was mentioned. It currently monitors ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini and Copilot, and can export reports to PDF/CSV. It also has an API and a Looker Studio connector, which is particularly useful if you want to build your own branded client reporting layer. otterly.ai
The workflow I'd use is:
Client → tracked prompts → AI answers → cited URLs → page-level citation frequency → competitors' cited pages → recommendations → monthly branded report
For example, your report could say:
AI Citation Performance — July
142 relevant AI answers analyzed
31% brand visibility
47 citations to client-owned pages
Top cited pages:
/pricing— 18 citations
/services/seo— 11
/blog/best-crm-for-agencies— 7Opportunity: Competitors are being cited 3.2× more frequently for “best X for Y” prompts.
Recommendation: Build/upgrade these 4 pages.
That's much more valuable to a client than a generic “AI visibility score.”
When I'd choose Profound instead
If your boutique agency works with larger brands and you need very deep answer-engine intelligence, I'd demo Profound. Current comparisons consistently position it toward enterprise-grade tracking and broader engine coverage, while Otterly is more accessible for smaller agencies. technologyadvice.com
One important distinction
Don't buy a tool just because it reports AI mentions. You specifically want citation/source intelligence.
You want the underlying record to look roughly like:
Prompt → AI engine → answer → cited URL → client/competitor → citation position → date
That lets you answer the question clients actually care about:
“Which of our pages are AI systems using as sources, and what should we do to get more of our pages cited?”
Otterly explicitly supports this page-level citation tracking and says its API exposes prompts, citations and reports, which makes it particularly interesting if you're thinking about eventually automating your agency's reporting. otterly.ai
If you tell me roughly how many clients you have (e.g. 5, 20, 50) and whether you want white-label PDFs or a custom Looker Studio dashboard, I can narrow this down to the best 1–2 options and estimate the monthly cost.
Behind this answer: 3 searches, 21 results retrieved, 4 tracked brands mentioned
Searches ChatGPT ran
Search results ChatGPT retrieved
| # | Page | Used in the answer |
|---|---|---|
| 1 | https://baarely.com/blog/best-ai-brand-visibility-tools-2026?utm_source=chatgpt.com | not cited |
| 2 | https://www.trylyra.ai/blog/profound-vs-otterly-vs-scrunch-ai/?utm_source=chatgpt.com | not cited |
| 3 | https://schmitdy.com/en-us/blog/best-ai-search-visibility-tools-2026?utm_source=chatgpt.com | not cited |
| 4 | https://omidsaffari.com/blog/ai-visibility-tools-aeo-tracking?utm_source=chatgpt.com | not cited |
| 5 | https://uxcontinuum.com/blog/ai-engineering/ai-visibility-tools-compared-2026?utm_source=chatgpt.com | not cited |
| 6 | https://www.elmohq.com/blog/best-aeo-tools?utm_source=chatgpt.com | not cited |
| 7 | https://bloomiro.com/blog/best-ai-search-visibility-tools?utm_source=chatgpt.com | not cited |
| 8 | https://pressfit.ai/blog/profound-vs-scrunch-vs-evertune-vs-otterly?utm_source=chatgpt.com | not cited |
| and 13 more results | ||
Tracked brands mentioned
"which platform can an agency use to track changes in ai citations over time and deliver executive summaries to clients"
Yes. If the goal is an agency-facing platform that tracks AI citations over time and turns the data into client-ready executive reporting, I’d shortlist these:
- peec.ai — best overall agency fit. It’s frequently positioned as a strong choice for agencies/multi-brand teams, with tracking across multiple AI engines and competitive visibility reporting. Bloomiro AEO Labs
- tryprofound.com — best for enterprise/executive reporting. Stronger if your clients are large enterprises and you need deeper citation/visibility analysis and polished reporting. Bloomiro Austin Heaton
- agencyanalytics.com — best if you're already an SEO/reporting agency. Its AI Tracker puts ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews and AI Mode data alongside SEO/PPC/social reporting, so clients get one performance dashboard rather than a separate GEO tool. AgencyAnalytics
- otterly.ai — best lower-cost option. Tracks mentions and website citations across major AI search engines, with dashboards and an API for pulling data into your own reporting stack. Otterly
- towergeo.com — worth looking at specifically for white-label agency reporting. It explicitly supports multiple clients, citation frequency, competitive positioning, and white-label PDFs/live dashboards. Tower GEO
My recommendation
If you're building a recurring agency service, I'd evaluate Peec AI vs. AgencyAnalytics vs. Profound first.
The key isn't simply "does it track mentions?" You want the platform to preserve the actual cited URLs and AI responses over time, so your executive summary can say something like:
AI visibility increased 18% this quarter. Citation share rose from 12% → 19%, primarily because 4 new third-party sources began citing the client. Competitor X remains 11 points ahead, with the largest gap in comparison queries.
That distinction matters because AI visibility is volatile: for example, recent analysis found substantial changes in which domains ChatGPT cites over just a few weeks. Axios
If executive summaries are the primary deliverable, rather than just dashboards, I'd also look at AgencyScope: it specifically offers recurring white-label reports, archived prompt evidence, and comparison of current results against previous reporting periods. AgencyScope
If you tell me roughly how many clients you have (e.g. 10, 50, 200+) and whether you want white-label PDFs, dashboards, or both, I can narrow this to the 2–3 best platforms and compare pricing/features.
Behind this answer: no web searches, 3 tracked brands mentioned
ChatGPT answered from its own knowledge, without searching the web.
Tracked brands mentioned
If an agency wants to track AI citations over time and turn that data into client-facing executive reporting, I’d shortlist these:
- otterly.ai — best overall agency-friendly option. It tracks brand mentions and URL-level citations over time across ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, Copilot and Claude. It also supports separate workspaces for clients, branded reports/PDF exports, APIs, and Looker Studio. Otterly Otterly
- tryprofound.com — best for enterprise clients. Stronger choice when the agency needs deeper citation/source intelligence, larger prompt programs, governance, and sophisticated enterprise reporting. SEO Counselors The Rank Masters
- peec.ai — good agency/multi-client alternative. Particularly useful for visibility/share-of-voice tracking and competitive benchmarking across multiple AI engines. AEO Labs The Rank Masters
- ayzeo.com — worth considering if white-label reporting is the priority. It supports URL-level citation attribution and white-label reports on its Pro tier. Ayzeo
My pick for an agency
OtterlyAI is probably the closest match to your exact workflow:
Client → tracked prompts → AI answers → citations → change over time → executive summary/report.
Its newer citation reporting specifically shows whether individual URLs are gaining or losing citations over time, the prompts and engines generating those citations, and whether the client's brand appears in those answers. Otterly
For executive summaries, I'd structure the monthly client report around just 5–6 KPIs:
- AI visibility: % of tracked prompts where the client appears
- Citation rate: % of answers citing the client's domain
- Citation trend: MoM change in citations
- Share of voice: client vs. key competitors
- Citation winners/losers: pages gaining or losing AI citations
- Executive takeaway: what changed, why it matters, and what the agency recommends doing next
If you're evaluating this specifically for an SEO/GEO agency with, say, 10–100 clients, I'd lean OtterlyAI for scale/value, Peec for a polished agency workflow, and Profound for high-value enterprise accounts. Current 2026 comparisons broadly reach the same segmentation. prismnews.com The Rank Masters
Behind this answer: no web searches, 3 tracked brands mentioned
ChatGPT answered from its own knowledge, without searching the web.
Tracked brands mentioned
"best tool for agencies to aggregate ai assistant visibility across regions and produce client-ready analytics"
If your agency’s core need is “aggregate AI-assistant visibility across many clients, regions, and prompts, then turn it into client-ready reporting,” I’d shortlist these:
| Tool | Best fit | Regional / geo tracking | Multi-client | Client reporting | My take |
|---|---|---|---|---|---|
| Profound | Enterprise agencies | Strong | Strong | Strong | Best for sophisticated analytics |
| Peec AI | Mid-market agencies | Good | Good | Good | Best balance of analytics + usability |
| Otterly.ai | Cost-conscious agencies | Good | Good | White-label on higher tiers | Best value / breadth |
| RocketBlue | Agency-first reporting | Strong | Strong | White-label | Worth evaluating if reporting is the priority |
| Semrush AI Visibility Toolkit | Agencies already using Semrush | Good | Strong | Established reporting ecosystem | Best if you want AI visibility inside your existing SEO stack |
Recent agency comparisons consistently emphasize multi-client workspaces, engine coverage, regional querying, white-label reporting, and scalable pricing as the important differentiators—not merely whether a tool can tell you if ChatGPT mentioned a brand. Semrush The Rank Masters
My recommendation
Start with Profound if you're selling a serious AI-search intelligence service. It is positioned toward enterprise-scale AI search intelligence and multi-brand monitoring, making it the strongest candidate when you need deeper analytics rather than just a visibility score. xSeek Arbling
Choose Peec AI if you want a cleaner agency workflow at a more accessible scale. It is particularly compelling for analytics, competitor benchmarking, and ongoing visibility monitoring without the enterprise complexity. Sapian Metrics MentionsAPI
Choose Otterly if economics and broad engine coverage matter most. Current comparisons put it at the low-cost end while covering multiple major AI surfaces and offering agency-oriented reporting on higher tiers. Demand Local, Inc. Sightivo
One important caveat: “regional visibility” needs careful evaluation in demos. Don't just ask whether a platform has a country filter. Ask whether it can actually execute the same prompt from different geographic contexts and preserve location, language, engine, device, and date as dimensions. That's what lets you produce something genuinely useful like:
US West: 34% AI share of voice
US Northeast: 27%
UK: 41%
Germany: 18%
Competitor X overtaking client in 3/5 priority markets
For an agency, I'd also insist on raw response/citation data, scheduled exports/API access, client-level workspaces, white-label dashboards/PDFs, competitor SOV, sentiment, citation domains, and historical trend data. Otherwise you're likely to end up manually stitching screenshots into Looker Studio.
If you tell me roughly how many clients/brands you need to monitor (e.g. 10, 50, 200+) and which regions/AI assistants matter, I can narrow this to the 2–3 platforms I'd actually buy, including estimated monthly cost and how I'd structure the agency reporting stack.
Behind this answer: no web searches, 4 tracked brands mentioned
ChatGPT answered from its own knowledge, without searching the web.
Tracked brands mentioned
If you mean an agency-level platform that can monitor clients across countries/regions, aggregate ChatGPT/Gemini/Perplexity/etc. visibility, and turn it into polished client reporting, I’d shortlist these:
My pick: Peec AI
peec.ai is probably the best agency-native fit right now.
- Multi-client management: designed specifically around agencies managing multiple client projects from one account.
- Cross-engine visibility: tracks ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews, Google AI Mode and Microsoft Copilot. Peec AI Peec AI
- Core agency metrics: visibility, position, sentiment, share of voice, citations and competitor benchmarking. Peec AI
- Client-ready reporting: branded Looker Studio dashboards, CSV/API access, and read-only dashboards that don't require clients to log into Peec. Peec AI
- Automation: its MCP can generate recurring summaries and client reporting, including Google Slides/Slack workflows. Peec AI
- Regional tracking: its agency offering includes multi-country capability on higher tiers. Peec AI
For an agency, that combination is unusually compelling because you're not just buying an AI visibility tracker—you can turn the data into a repeatable reporting product.
Best enterprise alternative: Profound
tryprofound.com is the one I'd investigate if you're a large agency or serving enterprise/global brands.
It covers a very broad set of answer engines and lets you analyze visibility, sentiment, citations, competitors and performance across regions and languages. Profound Profound Its agency product also has centralized client management and a dedicated agency team. Profound
The big advantage is that Profound goes beyond visibility into AI crawler activity, AI-referred traffic/conversions, prompt volumes and execution/optimization. Profound
I'd choose Profound over Peec if your clients expect enterprise-grade AEO/GEO intelligence rather than primarily an agency reporting layer.
What I'd choose by agency type
| Agency need | Best fit |
|---|---|
| 5–25+ clients, recurring reporting | Peec AI |
| White-label/client dashboards | Peec AI |
| Multi-region visibility reporting | Peec AI / Profound |
| Enterprise/global clients | Profound |
| AI visibility + AI traffic/conversion analytics | Profound |
| Automated client summaries/decks | Peec AI |
| API → your own BI/data warehouse | Peec AI |
| Full AEO/GEO strategy + execution | Profound |
Bottom line: I'd start with Peec AI for an agency. Its positioning, centralized client workflow, branded reporting, API/Looker integration and automation line up particularly well with “aggregate AI assistant visibility → analyze by region/client → produce client-ready analytics.” Peec AI
If you're evaluating this for a serious agency stack, I can also compare Peec vs Profound vs Otterly vs Spotlight/RocketBlue specifically on regional granularity, number of engines, white-labeling, API, pricing, and automated reporting.
Behind this answer: no web searches, 3 tracked brands mentioned
ChatGPT answered from its own knowledge, without searching the web.
Tracked brands mentioned
"is there a tool that helps agencies map which keywords trigger client answers in ai assistants for reporting"
Yes. What you're describing is now generally called AI visibility / GEO / AEO tracking: instead of tracking only Google keywords, the tool tracks the prompts/questions people ask AI assistants and measures which prompts cause a client to be mentioned, recommended, or cited.
A few tools are particularly relevant:
1. Peec AI — probably the closest agency fit
Peec is explicitly built for agencies. It lets you:
- Build a library of prompts for each client
- Track those prompts across ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, Claude and Copilot
- See which prompts produce mentions
- Track position, sentiment, share of voice and citations
- Compare the client against competitors
- Segment prompts by things like topic, persona and funnel stage
- Create client-ready/white-labeled dashboards
- Export to Looker Studio, CSV/API, etc.
- Run automated client reporting across multiple accounts. peec.ai
The particularly interesting part for your use case is that Peec can show which prompts drive the most mentions, rather than simply giving you an overall "AI visibility" score. peec.ai
2. Profound — stronger for discovering the actual AI queries
Profound is especially interesting if by "map which keywords trigger client answers" you mean:
"What are people actually asking AI, and which of those conversations result in my client being recommended?"
Its Prompt Volumes product analyzes millions/billions of real AI conversations and lets you map keywords → related prompts → topics → intent. It can also identify prompts where a particular site was cited. www.tryprofound.com
Then its Answer Engine Insights layer lets you track those prompts daily and see visibility, citations, sentiment, positioning, etc. www.tryprofound.com
That's potentially a very powerful agency reporting workflow:
Client keyword
→ AI questions/prompts
→ AI answers
→ Was client mentioned?
→ Where did AI get the answer?
→ Which competitors appeared?
→ Which content/citations are influencing it?
→ Change over time
The distinction I'd make
| If you want to... | I'd look at |
|---|---|
| Report AI visibility across lots of clients | Peec |
| Discover what people are actually asking AI | Profound |
| Find prompts that mention/cite a client | Both |
| White-label agency reporting | Peec |
| Build a keyword → prompt → answer map | Profound |
| Track competitors | Both |
| Feed data into Looker/API/BI | Peec |
| Automate recurring agency reports | Peec |
One important terminology shift: "keyword" isn't quite the right unit anymore. A traditional SEO keyword like best accounting software can translate into dozens of AI prompts such as "What accounting software is best for a 20-person construction company?" or "Compare X vs Y for a small business." Profound's Prompt Volumes product is specifically designed around that relationship. www.tryprofound.com
If you're thinking about this from the perspective of building an agency reporting product, rather than just buying one, that's an even more interesting question—the gap between keyword rank tracking and "prompt → answer → citation → client outcome" attribution is still pretty substantial.
Behind this answer: 4 searches, 30 results retrieved, 2 tracked brands mentioned
Searches ChatGPT ran
Search results ChatGPT retrieved
| # | Page | Used in the answer |
|---|---|---|
| 1 | https://www.tryprofound.com/features/answer-engine-insights/prompt-tracking?utm_source=chatgpt.com | not cited |
| 2 | https://help.tryprofound.com/articles/3730240593-create-manage-and-tag-prompts?utm_source=chatgpt.com | not cited |
| 3 | https://help.tryprofound.com/articles/3443229936-answer-engine-insights-overview?utm_source=chatgpt.com | not cited |
| 4 | https://help.tryprofound.com/articles/4288109168-prompt-volumes?utm_source=chatgpt.com | not cited |
| 5 | https://www.tryprofound.com/blog/introducing-prompt-research-reports-in-profound?utm_source=chatgpt.com | not cited |
| 6 | https://www.tryprofound.com/features?utm_source=chatgpt.com | not cited |
| 7 | https://help.tryprofound.com/articles/6603865918-visibility-score-node?utm_source=chatgpt.com | not cited |
| 8 | https://help.tryprofound.com/articles/9788953725-how-does-profound-track-and-analyze-ai-generated-responses?utm_source=chatgpt.com | not cited |
| and 22 more results | ||
Tracked brands mentioned
"recommend a platform that supports multi-client ai visibility reporting with role-based access for agency teams"
For an agency specifically needing multi-client AI visibility reporting + role-based access, my top pick is Indexly.
Why Indexly
Indexly is explicitly designed around agency workflows:
- Multi-client dashboard: manage clients from one account rather than separate logins.
- Isolated client workspaces: each client's prompts, audits, competitors, and reports stay separated.
- Role-based access: assign different access to strategists, writers, and account managers.
- Client-ready reporting: reports cover AI visibility, citations, sentiment, competitor share of voice, content, and attributed traffic.
- Scales to large rosters: Indexly says its agency dashboard supports unlimited clients and volume pricing. Indexly Indexly
Strong alternatives
| Platform | Best fit |
|---|---|
| Indexly | Best overall for agency teams wanting client isolation + RBAC + reporting |
| Gumshoe | Strong choice if AI visibility monitoring/reporting is the primary service; supports client organizations, admin/viewer roles, scheduled reports, and 11 AI models. Gumshoe AI Gumshoe AI |
| Outercite | Best if white-label/reseller infrastructure is especially important; offers isolated workspaces, role-based access, branded reports, and an agency-wide dashboard. Outercite |
| Peec AI | Good for agencies prioritizing unlimited client workspaces and team seats without per-seat fees, plus automated reporting workflows. Peec |
| Scout LLM | Interesting lower-friction option with client workspaces, unlimited team seats, owner/admin/member/viewer roles, and white-label reports. Scout LLM |
My recommendation: start with Indexly if your agency wants one operational platform for client management and reporting. Choose Gumshoe instead if your main requirement is sophisticated AI-visibility measurement and client reporting rather than broader GEO execution.
If you tell me roughly how many clients you manage (e.g. 10, 50, 200) and whether you need white-label client portals, I can narrow this to the best 2–3 options and compare pricing/features.
Behind this answer: no web searches, 1 tracked brand mentioned
ChatGPT answered from its own knowledge, without searching the web.
Tracked brands mentioned
"best software for an agency to create white-label ai visibility reports with custom branding"
If your goal is an agency product you can resell as “AI Visibility / GEO Reporting” under your own brand, I’d shortlist these:
| Platform | White-label | Client-facing portal | Multi-client | Best for |
|---|---|---|---|---|
| Rank Prompt | ✅ Strong | ✅ Higher tier | ✅ Excellent | Best overall agency fit |
| Peec AI | ✅ Agency reporting | ⚠️ More reporting/Looker-oriented | ✅ | Polished analytics + benchmarking |
| Baarely | ✅ PDF + HTML | ⚠️ | ✅ | Simple branded deliverables |
| Scrunch AI | ✅ | ✅/agency-oriented | ✅ | Visibility + content/action layer |
| Otterly.ai | ⚠️ Higher tiers/workarounds | ⚠️ | ✅ | Low-cost monitoring |
| Profound | Enterprise-oriented | ✅ | ✅ | Large/enterprise clients |
| Ayzeo | ✅ Branded PDF | ⚠️ | ✅ | AI visibility + SEO/content tools |
🥇 My pick: Rank Prompt
For a typical SEO/digital agency, Rank Prompt looks like the strongest match if the objective is to turn AI visibility into a branded recurring deliverable.
Its agency offering is specifically positioned around white-label reports, large numbers of brands, client portals and prospecting, rather than simply giving you an AI visibility dashboard. One recent comparison puts its agency tier at $149/month for white-label reporting and up to 500 brands, with a higher tier adding a client portal. Rank Prompt SEOforGPT
The key distinction I'd make is:
“Can I export a PDF with my logo?” ≠ “Can I sell this as my agency's software?”
If you want clients to log into something that looks like your agency's proprietary AI Visibility platform, prioritize the latter.
🥈 Peec AI
Peec AI is worth looking at if the quality of the analytics and competitive benchmarking matters more than having a completely custom SaaS-like portal.
It has an agency offering with white-label reporting, and its reporting can be delivered through Looker Studio. That makes it particularly interesting if your agency already has a reporting stack built around Looker Studio. Koalr
I'd choose Peec over Rank Prompt if your agency already has a sophisticated reporting workflow and wants to incorporate AI visibility data into broader SEO reporting.
🥉 Baarely
Baarely is interesting for a simple, productized AI visibility report.
Its agency offering reportedly includes white-label PDF and HTML reports, which is useful if your deliverable is something like:
“Your Monthly AI Search Visibility Report”
rather than a full client portal. Baarely
Also worth considering: Ayzeo
Ayzeo is more interesting if you don't just want to report visibility—you want the software to help your agency do the GEO work.
It combines AI visibility monitoring with things like content generation, LLMs.txt/schema generation, owned-channel tracking and white-label PDF reporting. Ayzeo
That's potentially a better fit for an agency selling:
Audit → Recommendations → Implementation → Monthly Visibility Report
rather than just:
Tracking → Report
What I'd buy based on agency type
- You want the best white-label agency product: Rank Prompt
- You want sophisticated analytics/benchmarking: Peec AI
- You mainly need beautiful branded reports: Baarely
- You want reporting + GEO execution: Ayzeo or Scrunch
- You want inexpensive monitoring to test the service: Otterly.ai
- You have enterprise clients and big budgets: Profound
One other option I'd investigate is AI Peekaboo if true white-labeling is the #1 requirement. Recent comparisons describe it as offering branded dashboards/custom domains and white-label delivery even on lower tiers, which is considerably more interesting than tools that merely let you export data into Looker Studio. Peekaboo Marketraa
The feature checklist I'd use before buying
Don't just compare “white label: yes/no.” For an agency, I'd specifically verify:
- Your logo + colors
- Custom domain
- No vendor branding
- Client login/portal
- Multiple client workspaces
- Automated monthly reports
- PDF + web report
- Scheduled email delivery
- Custom report sections
- Your own executive summary
- Competitor/share-of-voice tracking
- Citation/source tracking
- ChatGPT + Google AI Overviews/AI Mode + Perplexity + Gemini + Copilot + Claude/Grok
- Historical trends
- Prompt-level data
- API access
- Ability to export raw data
- Agency-level pricing that doesn't destroy your margin
Most importantly, check engine coverage. The market is moving quickly, and some platforms advertise “AI visibility” while only tracking ChatGPT or a handful of engines at their lower tiers. Profound, for example, expands substantially from its entry-level ChatGPT tracking to multiple engines at higher tiers. Baarely
If you tell me roughly how many clients you want to report on (10 / 50 / 100+) and whether you want a branded PDF, branded dashboard, or a full custom-domain client portal, I can narrow this to the best 3 and compare actual pricing, margins, engines, white-label depth, and API capabilities.
If you want clients to log into something that looks like your agency's proprietary AI Visibility platform, prioritize the latter.
🥈 Peec AI
Peec AI is worth looking at if the quality of the analytics and competitive benchmarking matters more than having a completely custom SaaS-like portal.
It has an agency offering with white-label reporting, and its reporting can be delivered through Looker Studio. That makes it particularly interesting if your agency already has a reporting stack built around Looker Studio. Koalr
I'd choose Peec over Rank Prompt if your agency already has a sophisticated reporting workflow and wants to incorporate AI visibility data into broader SEO reporting.
🥉 Baarely
Baarely is interesting for a simple, productized AI visibility report.
Its agency offering reportedly includes white-label PDF and HTML reports, which is useful if your deliverable is something like:
“Your Monthly AI Search Visibility Report”
rather than a full client portal. baarely.com
Also worth considering: Ayzeo
Ayzeo is more interesting if you don't just want to report visibility—you want the software to help your agency do the GEO work.
It combines AI visibility monitoring with things like content generation, LLMs.txt/schema generation, owned-channel tracking and white-label PDF reporting.
That's potentially a better fit for an agency selling:
Behind this answer: no web searches, 4 tracked brands mentioned
ChatGPT answered from its own knowledge, without searching the web.
Tracked brands mentioned
"which tool can help an agency monitor how often clients are referenced by different ai assistants and deliver client summaries"
If you mean an agency tool that tracks how often clients appear in AI-generated answers (ChatGPT, Claude, Gemini, Perplexity, etc.) and creates client-facing reports, you’re looking for an AI visibility / AI search optimization (AIO, GEO) monitoring platform.
Some tools in this category include:
- Profound — Tracks brand visibility across AI answer engines, monitors mentions, citations, sentiment, and competitive share of voice. Designed for enterprise teams and agencies managing client reporting.
- OtterlyAI — Monitors how brands appear in AI search results and provides visibility reporting.
- Peec AI — Tracks mentions and rankings in AI assistants and provides reporting around brand presence.
- Scrunch AI — Helps companies monitor and improve how they are represented in AI-generated answers.
- Writesonic — Includes AI search visibility features alongside broader content tools.
For an agency workflow, the ideal features to look for are:
- Client dashboards with white-label reports
- Tracking across multiple assistants (ChatGPT, Claude, Gemini, Perplexity, Copilot)
- Prompt monitoring (“When users ask X, is our client mentioned?”)
- Competitor comparisons
- Citation/source tracking (which websites AI assistants reference)
- Sentiment and positioning analysis
- Scheduled PDF/email reports for clients
If you’re an agency managing many brands, platforms like Profound or OtterlyAI are closer to a client-reporting model, while lighter tools may be better for internal SEO teams.
Behind this answer: no web searches, 4 tracked brands mentioned
ChatGPT answered from its own knowledge, without searching the web.
Tracked brands mentioned
"recommend a platform that supports exporting ai visibility data into client crm or reporting suites for seamless reporting"
If your priority is piping AI visibility data into a client CRM or reporting/BI stack, my top recommendation is Peec AI.
Why Peec AI stands out
- API access: You can pull visibility, sentiment, share-of-voice, source/citation and other metrics into your own data pipeline. peec.ai
- Looker Studio connector: Useful if you're building standardized client dashboards and want reporting to update without manual exports. peec.ai
- CSV exports: Handy for one-off client analysis or feeding data into BigQuery, Tableau, Power BI, etc. peec.aipeec.ai
- MCP + automation: Peec can connect with tools such as n8n, Make, Claude and Cursor, which makes it possible to automate workflows like “pull each client's weekly AI visibility → calculate WoW change → update reporting.” peec.ai
- Agency-oriented: It explicitly supports multi-client projects and branded/client-facing reporting. peec.aipeec.ai
Peec vs. Profound
Profound is the other platform I'd seriously evaluate. Its API can feed metrics such as Visibility Score, Share of Voice and Citation Rank into Looker, Tableau, Mode and Hex, and it has integrations with platforms including Google Analytics, GSC, Looker and monday.com. www.tryprofound.com
So I'd choose:
| If you need… | Pick |
|---|---|
| Agency/client reporting + flexible API/CSV exports | Peec AI |
| Enterprise marketing-data integrations + BI | Profound |
| Looker Studio specifically | Peec AI |
| Custom CRM/data pipeline | Peec AI or Profound |
| Automated AI-agent workflows | Both; Peec has particularly strong MCP positioning |
Bottom line: For an agency wanting to collect AI visibility metrics once and automatically surface them in CRM + client dashboards + recurring reports, I'd start with Peec AI. Its combination of API, Looker Studio, CSV and MCP gives you more ways to get the data out of the platform rather than trapping reporting inside the vendor dashboard. peec.aipeec.ai
If you tell me which CRM/reporting suite you're using (e.g. Salesforce, HubSpot, Looker Studio, Power BI, Tableau, AgencyAnalytics, Databox), I can narrow this down to the best integration architecture.
Behind this answer: 4 searches, 30 results retrieved, 3 tracked brands mentioned
Searches ChatGPT ran
Search results ChatGPT retrieved
| # | Page | Used in the answer |
|---|---|---|
| 1 | https://help.tryprofound.com/articles/3615698866-about-integrations-and-connectors?utm_source=chatgpt.com | not cited |
| 2 | https://www.tryprofound.com/blog/introducing-the-profound-api-cookbook?utm_source=chatgpt.com | not cited |
| 3 | https://www.tryprofound.com/blog/introducing-external-mcp-connectors-in-profound?utm_source=chatgpt.com | not cited |
| 4 | https://help.tryprofound.com/articles/6603865918-visibility-score-node?utm_source=chatgpt.com | not cited |
| 5 | https://www.tryprofound.com/blog/best-ai-visibility-tools-for-marketing-agencies?utm_source=chatgpt.com | not cited |
| 6 | https://www.tryprofound.com/blog/agent-analytics-integrations?utm_source=chatgpt.com | not cited |
| 7 | https://help.tryprofound.com/articles/3443229936-answer-engine-insights-overview?utm_source=chatgpt.com | not cited |
| 8 | https://www.tryprofound.com/blog/introducing-google-search-console-nodes-for-profound-agents?utm_source=chatgpt.com | not cited |
| and 22 more results | ||
