ChatGPT answers, unedited

For a marketing agency managing multiple clients, my first choice would be Peec AI.

peec.ai

Why I’d pick Peec AI

• Built for agencies: one account can manage multiple client projects, with centralized billing and flexible prompt allocation. Peec AI Peec AI
• Actual AI Share of Voice: it measures the percentage of AI responses mentioning your brand versus competitors, rather than just counting raw mentions. Peec AI
• Client-ready reporting: branded dashboards, read-only client links, CSV/API exports, and automated reporting workflows. Peec AI
• Multiple brands/sub-brands: agency accounts are designed to separate tracking by client/brand while sharing prompt capacity across projects. Peec AI
• Useful beyond ChatGPT: it tracks visibility, citations and sentiment across multiple AI search channels, including Google AI surfaces. Peec AI
• Good fit for scaling: pricing is based primarily on tracked prompts/models, rather than requiring a completely separate platform/account for every brand. Peec AI

How I'd shortlist the market

Recent 2026 comparisons similarly position Peec as a strong agency/multi-brand choice, while Profound is generally aimed more at enterprise depth. Bloomiro AnswerManiac

For your use case, I'd demo Peec first. The key thing I'd test during the demo is whether its project/brand limits and prompt economics work at your actual scale—for example, 20 clients × 50 prompts × 5 AI engines—because that will matter much more than the headline feature list.

If you tell me roughly how many clients/brands you manage and how many prompts per brand, I can compare Peec vs Profound vs Otterly vs RocketBlue specifically for your agency and estimate which would be cheapest/best.

For a marketing agency managing multiple client brands, I’d put Peec AI at the top of the shortlist.

Why Peec fits an agency particularly well

• Multi-client by design: agency accounts let you manage multiple brands/projects from one account, with prompts allocated across projects. peec.ai
• Actual AI share-of-voice tracking: it measures visibility, position, sentiment and share of voice against competitors, rather than just counting brand mentions. peec.ai
• Broad assistant coverage: tracks ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews, Google AI Mode and Microsoft Copilot. peec.ai
• Recommendations, not just dashboards: it identifies content gaps, citation opportunities and competitor weaknesses, then prioritizes actions. peec.ai
• Agency reporting: branded/client-ready dashboards, Looker Studio, CSV/API access and MCP automation are built into its agency offering. peec.ai
• Good for scaling: its current agency tiers are positioned around roughly 3–10 clients (Growth) and 11–25+ clients (Scale), with volume based on tracked prompts/credits. peec.ai

One alternative worth evaluating

OtterlyAI is probably the other one I'd demo. Its agency partner program offers unlimited workspaces, branded reporting and agency-specific capabilities, while higher tiers add API/MCP, Looker Studio and unlimited brand reports. help.otterly.ai

My pick: Peec if your core product is “we manage AI visibility/GEO for many clients and need to prove SOV improvement.” Its combination of multi-brand management, competitor SOV, recommendations and automated client reporting is unusually well aligned with an agency workflow.

One important consideration: AI visibility is volatile—recent research has shown substantial shifts in which sources AI assistants cite—so I'd favor a platform with consistent historical tracking across multiple assistants, rather than one that gives you occasional snapshots. www.axios.com

If you're evaluating vendors, I can also give you a 5–7 platform comparison specifically for agencies (Peec vs Otterly vs Profound vs similar tools), including number of brands, white-label reporting, assistant coverage, API, recommendations, and approximate pricing.

For a marketing agency managing multiple brands, I’d shortlist Peec AI first, with Profound as the stronger enterprise alternative.

My recommendation: Peec AI

peec.ai is particularly well aligned with an agency operating model:

• Multi-client management: separate workspaces for each client, with each client's prompts, competitors, and channels isolated. Peec AI Peec.ai Docs
• AI share of voice: tracks visibility and share of voice against competitors, rather than just counting mentions. Peec AI Peec.ai Docs
• Broad assistant coverage: ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, and Microsoft Copilot, with daily tracking. Peec AI
• Agency reporting: white-label/client-ready dashboards, Looker Studio, CSV/API exports, and automated reporting workflows. Peec AI
• No per-seat fees: designed so an agency can give its whole team access without adding a seat charge for every user. Peec AI
• Pitch support: dedicated pitch projects let you generate an AI-visibility/competitor snapshot for prospects before they become clients. Peec AI

That combination makes it a better fit than many AI-visibility tools that are fundamentally designed around one brand/account.

When I'd choose Profound instead

tryprofound.com is worth choosing if you're a larger agency and want a more comprehensive AEO platform, not just monitoring. It offers centralized client management and tracks visibility across ChatGPT, Claude, Gemini, Perplexity, Copilot, Grok, DeepSeek and Google's AI experiences. Profound Profound

Its differentiator is breadth: alongside share-of-voice/visibility reporting, it has prompt-volume data, citation analysis, AI crawler analytics, content optimization and agents. Profound

Quick decision

Bottom line: For a typical multi-client marketing agency, I'd start with Peec AI. Its agency architecture—client workspaces, centralized team access, reporting, API/Looker integration, and pitch projects—is unusually well matched to how an agency actually operates. Peec AI

If you're managing 20, 50, or 100+ brands, I can also compare the major platforms specifically on pricing per client, number of prompts, white-labeling, API access, and which AI assistants they monitor.

For a marketing agency managing multiple client brands, I’d prioritize platforms that have:

• Multi-brand / multi-workspace management
• AI share-of-voice benchmarking (not just “mentions”)
• Tracking across ChatGPT, Gemini, Claude, Perplexity, AI Overviews, etc.
• Competitor comparisons
• White-label reports for client QBRs
• API/export options if you feed dashboards

My shortlist:

My recommendation for an agency

I’d start by evaluating Zumi vs Visibrand.

• Choose Zumi if your business model is “AI visibility reporting as a client service” — multiple workspaces, branded reporting, and agency workflows appear to be core capabilities. Zumi
• Choose Visibrand if you want a lighter-weight dashboard that can quickly scale across many brands with competitive reporting and integrations. Visibrand
• Choose Chatobserver if your agency is heavily SEO/content-focused and wants detailed prompt monitoring and citation reporting. Chatobserver

A few questions would change the recommendation:

1. Roughly how many client brands do you manage (10, 50, 500+)?
2. Do clients need white-labeled dashboards/reports?
3. Are you measuring mostly SEO/GEO performance, PR reputation, or product recommendation share of voice?

For a marketing agency managing multiple client brands, I’d shortlist these:

My recommendation: OtterlyAI

For your use case, I'd start with OtterlyAI. Its Workspaces model is particularly well suited to agencies: you can maintain separate client environments while managing them under one subscription, and its agency program offers unlimited workspaces and branded reporting. otterly.ai

The important distinction is that you're not just looking for a tool that says "is Client X mentioned in ChatGPT?" You want an agency-level system that can answer:

• What percentage of AI answers mention our client?
• What's their share of voice vs. competitors?
• Which assistants are recommending them?
• Which prompts/categories are they winning or losing?
• What sources are AI using to form those answers?
• Is visibility improving month over month?
• Can we turn that into a client-facing report?

I'd put Zumi very close behind if cross-engine SOV depth is more important than ecosystem/workspace maturity. It explicitly measures mention rate, share of voice, position, and citation quality across up to nine AI engines and supports isolated client workspaces plus white-label reports. www.zumihq.com

If you're already an AgencyAnalytics customer, I'd actually choose its AI Tracker first because it puts AI visibility alongside your clients' existing SEO, PPC, social, traffic, and revenue reporting rather than creating another reporting silo. agencyanalytics.com

My agency ranking:
1. OtterlyAI → best portfolio/workspace model
2. Zumi → strongest SOV/visibility-oriented option
3. AgencyAnalytics → best if you want one consolidated client-reporting platform
4. Peec AI → strong automation/reporting workflow
5. Siftly → interesting if GEO experimentation is part of your service

One thing I'd insist on in a demo: ask them to show SOV calculations using the exact same prompt set across ChatGPT, Claude, Gemini and Perplexity, rather than relying on a proprietary single "AI visibility score." The underlying methodology can make two platforms report dramatically different SOV numbers.

For a marketing agency managing many client brands, I’d shortlist these three:

Tower GEO is particularly aligned with your use case: it explicitly supports unlimited client brands, competitor tracking, AI-engine-level visibility, and white-label reporting/client dashboards. Its published agency pricing starts at $99/month, with client workspaces as an add-on, although I'd verify current pricing and limits in a demo. towergeo.com

DemandSphere is more of an enterprise search intelligence platform. It reports both conventional SERP and LLM share of voice and tracks AI surfaces such as ChatGPT, Perplexity, Gemini and Copilot, so it's attractive if your agency doesn't want a separate SEO and AI-visibility stack. www.demandsphere.comtrysill.com

Sill is interesting if you're managing larger numbers of brands with more sophisticated experimentation: its enterprise offering includes multi-brand dashboards, per-brand subscriptions and white-label reporting. trysill.com

What I'd prioritize in your evaluation

Don't just compare "number of AI engines." For an agency, I'd make these the requirements:

1. True multi-tenancy — each client isolated into its own workspace.
2. Share of Voice by prompt + competitor — not merely a proprietary visibility score.
3. ChatGPT, Gemini, Perplexity and Google AI at minimum.
4. Historical tracking so you can demonstrate improvement month-over-month.
5. Citation/source analysis — why a competitor is winning, not just that they're winning.
6. White-label dashboards/reports for client presentations.
7. Bulk management of prompts, competitors and brands.
8. API/export access so you can pipe data into your existing reporting stack.
9. Recommendations that turn visibility gaps into specific content/SEO actions.

I'd start with Tower GEO and DemandSphere. If you're managing, say, 20–100+ brands, I'd also test Sill and specifically compare their per-brand economics and API/reporting capabilities.

One caveat: AI "share of voice" is still a relatively young metric. Different platforms can calculate it differently, so during demos I'd give each vendor the same 20–50 client prompts and ask them to show the raw AI responses behind their SOV numbers. That will tell you much more than comparing dashboard percentages.

For a marketing agency managing many client brands, I’d shortlist Peec AI first.

My recommendation: Peec AI

It’s particularly well suited to an agency model because it treats clients as separate projects while letting you manage them from one account. Its agency setup supports allocating tracking credits across different client projects, rather than forcing you into a separate subscription/workspace for every brand. docs.peec.aipeec.ai

For your specific use case, the important pieces are:

• AI Share of Voice: Measures your client's share of brand mentions against competitors, rather than merely whether the brand appeared. docs.peec.ai
• Multi-brand/client management: Agency accounts are designed around multiple client projects and can support multiple sub-brands. docs.peec.aipeec.ai
• Competitive tracking: Visibility, position, sentiment and SOV can be monitored alongside competitors. peec.ai
• Client reporting: Branded dashboards can be shared with clients without requiring them to log into Peec; CSV/API access also lets you pipe the data into Looker Studio, BigQuery, Tableau or Power BI. peec.aipeec.aiwww.useomnia.com
• Agency automation: Their MCP integration can loop through all client projects and automatically generate weekly summaries/decks, which could substantially reduce reporting labor. peec.ai
• Google AI Mode: They now explicitly support multi-brand AI Mode tracking in addition to other AI surfaces. peec.ai

How I'd compare the alternatives

Siftly is worth a demo if your agency wants to combine visibility measurement with GEO experiments and ROI reporting; it explicitly supports mention rate, SOV, competitor benchmarking and white-label reporting across clients. siftly.ai Omnia is another interesting option if you value a straightforward single dashboard across brands, though its engine coverage is narrower—currently ChatGPT, Google AI Overviews/AI Mode and Perplexity. www.useomnia.com

Bottom line: If you're building an agency-wide AI visibility/SOV service, I'd start with Peec AI, then demo Siftly and Omnia against the same 2–3 clients. The key test isn't just "which has the nicest dashboard"; it's whether you can efficiently maintain prompt sets → competitors → SOV → citation sources → recommendations → client-ready reporting across dozens of brands.

If you're managing 20, 50, or 100+ client brands, the economics and prompt/model limits become especially important, and I'd evaluate the platforms differently.

For a marketing agency managing multiple client brands, I’d shortlist these, with LLM Pulse as my first platform to demo.

My recommendation

1. LLM Pulse — best overall agency fit

It is explicitly designed around the agency model: separate projects for each client, white-label client portals, unlimited seats, and reporting/API/Looker Studio integrations. It tracks visibility, sentiment, citations and share of voice across ChatGPT, Perplexity, Gemini, Google AI Mode and Google AI Overviews. llmpulse.ai

The big advantage is that you're not just buying an AI-monitoring dashboard—you can package it as an agency service under your own brand.

2. Rankability — best if AI visibility needs to sit alongside SEO

Rankability is particularly interesting if your agency already sells SEO. It combines AI visibility/share-of-voice tracking with traditional search, local, competitor and reporting workflows, and says its agency setup supports 5–50 clients from one workspace. www.rankability.com

3. Lantern — best for sophisticated GEO work

Lantern has multi-client dashboards, per-account isolation, citation tracking and competitor benchmarking across ChatGPT, Gemini, Perplexity and Claude. It's a good candidate if your strategists need to understand why a client is or isn't appearing, rather than simply reporting a visibility percentage. www.asklantern.com

4. BrandBeacon — worth considering for straightforward monitoring

It is agency-focused and offers centralized multi-client management, competitor benchmarking and tracking across ChatGPT, Perplexity, Claude and Bing Copilot. www.brandbeacon.ai

What I'd prioritize for your agency

Don't choose based solely on the headline "AI visibility score." For an agency, I'd require:

• One login / portfolio view across all clients
• Separate client workspaces and permissions
• Share of voice by prompt, model and competitor
• Citation/source tracking—not just mentions
• Historical trends so you can demonstrate improvement
• White-label dashboards/reports
• API or Looker Studio integration
• Enough prompt/model volume that pricing doesn't explode as your client roster grows
• Ability to export the underlying evidence behind the score

If you have 20–100+ brands, I'd lean toward LLM Pulse or Lantern and test them with the same 3–5 clients before committing. If you're primarily an SEO agency adding AI visibility as another reporting layer, Rankability deserves the strongest look.

One important distinction: "share of voice" isn't standardized across these platforms. Before comparing scores between vendors, run the same brands and prompts through each and see exactly how they calculate visibility, mentions, ranking/position, citations and competitor share.

If you tell me roughly how many clients/brands you manage (e.g. 10, 50, 200+) and whether you need white-label reporting, I can narrow this to the 2–3 best options and compare their current pricing/features.

For a marketing agency managing many client brands, I’d shortlist OtterlyAI, Peec AI, and Profound, with OtterlyAI as my default recommendation if you want a practical agency workflow rather than an enterprise-heavy platform.

Why I'd start with OtterlyAI

Its current platform is explicitly built around monitoring brand visibility across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Copilot and Claude, with competitor comparisons, prompt tracking and share-of-voice-style reporting. It also exposes an API, which is useful if your agency eventually wants to pipe results into your own client dashboards. otterly.ai

More importantly for your use case, independent 2026 comparisons specifically identify Otterly as supporting multiple client workspaces, while Peec and Profound take somewhat different approaches to agency accounts. deepsmith.ai

When I'd choose the others

Peec AI — I'd pick this if your main deliverable is polished AI-visibility reporting for clients. It has a strong emphasis on structured visibility/share-of-voice analytics and agency reporting. www.conbersa.ai

Profound — I'd reserve this for agencies whose clients are large enterprises and can justify enterprise-level spend. It is positioned more toward deep enterprise AI-search measurement than lightweight multi-client management. www.xseek.io

Siftly — worth a serious demo if you don't just want to say "Client X has 12% AI share of voice" but want the software to help explain why competitors win and what the agency should do next. Its agency offering specifically emphasizes visibility, competitive position, experiments and client reporting. deepsmith.aiwww.siftly.aiotterly.ai

What I'd require before signing

For an agency, I wouldn't evaluate these primarily on the headline number of AI engines. I'd require:

1. Separate workspaces per client/brand
2. Competitor share of voice, not merely mention counts
3. Prompt-level results showing why a competitor won
4. Citation/source tracking
5. Historical trends and scheduled monitoring
6. Client-ready/white-label reporting
7. User permissions so clients don't see one another
8. API or Looker Studio integration
9. Ability to track multiple countries/languages
10. Pricing that scales by clients/prompts, rather than forcing a new subscription for every brand

My recommendation: demo OtterlyAI + Peec AI first, then bring in Profound for your largest clients. If your agency wants the platform to actually generate prioritized GEO recommendations rather than just measure SOV, add Siftly to that bake-off. deepsmith.aiwww.siftly.aiotterly.ai

If you tell me roughly how many client brands you manage (e.g. 10, 50, 200+) and your monthly budget, I can narrow this to the best 2–3 options and compare their agency pricing/workspace limits.

For a marketing agency managing multiple client brands, I’d shortlist Peec AI, Otterly.AI, and Profound—but my default recommendation would be Peec AI.

🥇 My pick: Peec AI

Peec is particularly well suited to an agency model because it has agency-specific plans, multiple client projects, multiple seats, and multi-engine monitoring rather than treating every brand as a completely separate account. Current comparisons put its agency plans at roughly $245–$795/month depending on credits/seats, though I'd verify current pricing directly before budgeting. nxtg.ai

For each client, you'd want to monitor:

• AI Share of Voice — percentage of relevant AI answers where the client appears vs. competitors
• Brand mentions and rankings
• Citation/share of cited sources
• Competitor SOV
• Prompt-level results — e.g. "best payroll software for startups"
• Engine-by-engine performance — ChatGPT, Gemini, Perplexity, Google AI Overviews, Copilot, etc.
• Trend reporting so you can demonstrate improvement month over month

That makes it much easier to turn "GEO" into an actual client reporting metric, rather than showing clients screenshots of what ChatGPT said.

🥈 Otterly.AI if you want to start cheaper

Otterly.AI is worth a serious look if you have lots of smaller clients. It explicitly supports brand visibility, competitor comparisons, share of AI voice, multiple AI engines, prompt tracking, workspaces and an API. Its entry pricing is currently advertised from $29/month. otterly.ai

The tradeoff is that you'll want to investigate its client reporting/white-label workflow carefully if reporting under your agency's brand is important.

🏢 Profound for your biggest accounts

Profound is the one I'd consider for a Fortune 500/enterprise client where data depth, governance, and scale matter more than agency economics. It is considerably more enterprise-oriented, and third-party comparisons note that tracking multiple brands can become cumbersome/expensive outside its enterprise offering. nxtg.ai

What I'd do in your shoes

If you're managing, say, 10–50 client brands, I'd evaluate Peec vs. Otterly first, with these requirements as your demo scorecard:

1. One agency account → isolated workspace per client
2. Unlimited or economically scalable brands
3. SOV calculated consistently across prompts
4. Competitor benchmarking
5. At least ChatGPT + Gemini + Perplexity + Google AI
6. Historical data retention
7. Automated monthly client reports
8. White-label reporting
9. API/export access
10. Enough prompt volume per client to make SOV statistically meaningful

One important caveat: "AI share of voice" isn't yet a standardized industry metric. Vendors can calculate it differently—mentions, citations, position, or weighted combinations—so I'd make sure the platform lets you understand exactly how its SOV number is calculated before making it a contractual KPI. www.ai-visibility-software.com

Bottom line: Peec AI for a serious multi-client agency; Otterly.AI for a larger number of smaller clients and lower tooling costs; Profound when an individual enterprise client warrants enterprise-grade depth.

For a marketing agency managing multiple client brands, I’d prioritize platforms built around multi-tenant workspaces, client reporting, competitor share-of-voice, and white-label deliverables rather than single-brand AI rank trackers.

My shortlist:

My recommendation by agency size

1–10 clients

• Start with OpenLens or GeoContextAI. You’ll get enough AI assistant coverage and reporting without overbuilding. www.geocontextai.comopenlens.comllmpulse.ai

10–50 clients

• I’d lean toward LLM Pulse because the agency workflow matters: separate client workspaces, white-label reporting, and integrations are usually more important than raw tracking. llmpulse.ai

50+ enterprise clients

• Evaluate AI Sightline, Brandlight, or enterprise tiers of agency-focused tools. These tend to emphasize governance, permissions, regions, and scale. aisightline.com

Features I would require before buying

For an agency, make sure the platform has:

• ✅ Brand workspaces (one per client)
• ✅ Competitor share-of-voice tracking
• ✅ Prompt libraries by industry/use case
• ✅ Tracking across ChatGPT, Claude, Gemini, Perplexity, Google AI surfaces
• ✅ Citation/source analysis (what websites AI trusts)
• ✅ White-label PDF/dashboard reporting
• ✅ Team permissions
• ✅ Historical trend data
• ✅ API/export options for your existing reporting stack

If you’re selling this as a new GEO/AEO service line, I’d put LLM Pulse at the top of the evaluation list, with OpenLens as a lower-cost benchmark and GeoContextAI if you want built-in recommendations. openlens.comllmpulse.ai

For a marketing agency managing many brands, my first choice is Peec AI.

Why Peec is a particularly good agency fit

• Multi-client by design: one account can manage separate client projects rather than forcing you into a single-brand workflow. peec.ai
• Actual AI share-of-voice tracking: it measures visibility/mention rate, position, citations, sentiment, and competitor performance. peec.ai
• Broad assistant coverage: ChatGPT, Perplexity, Gemini, Google AI Overviews/AI Mode, and Microsoft Copilot, with daily tracking. peec.ai
• Client reporting is a strong point: branded Looker Studio dashboards, read-only client links, CSV/API exports, and integrations with BI tools. peec.ai
• Agency automation: its MCP integration can automate weekly client summaries and reporting workflows through tools such as Claude, n8n, and Make. peec.ai
• Good for new-business pitches: agency plans include dedicated pitch projects so you can demonstrate a prospect's AI visibility before they become a client. peec.ai

The shortlist I'd evaluate

Profound is the one I'd put into an enterprise RFP alongside Peec. It covers a particularly broad set of AI surfaces—including ChatGPT, Perplexity, Claude, Gemini, Grok, Copilot, Meta AI and Google AI Overviews—and positions itself as a full-stack AI-search marketing platform. www.tryprofound.com

Scrunch is more interesting if you don't just want to measure SOV but also want to optimize how AI agents consume your clients' websites. Its monitoring product tracks prompts, citations and brand performance, while its Agent Experience Platform addresses AI-bot interaction with the site. scrunch.com

My recommendation

If your agency's core requirement is:

“Give me one system where I can track AI SOV for 20, 50, or 100+ brands and turn the data into client reports.”

I'd start with Peec.

One important caveat: don't evaluate these platforms solely on their proprietary “visibility score.” AI answers are much more variable than conventional search rankings, and independent marketers have raised concerns about vendors not clearly explaining how their scores are calculated. www.reddit.com I'd insist on seeing the underlying prompts, sampling methodology, frequency, competitor calculations, citation data, and raw results during your demo.

If you tell me roughly how many clients/brands you manage (e.g. 10, 50, 200+) and whether you need white-label reporting, I can narrow this down to the best 2–3 options and compare pricing, brand/project limits, SOV methodology, API, white-labeling, and reporting.

For a marketing agency managing multiple client brands, I’d shortlist Peec AI and Profound, with Peec AI as my first recommendation if your priority is scalable agency reporting.

My pick: Peec AI

Why it fits an agency particularly well:

• One account for multiple clients/projects rather than forcing you into separate brand subscriptions.
• Tracks share of voice, mentions, position, citations, and sentiment across ChatGPT, Perplexity, Gemini, Google AI Overviews/AI Mode, and Microsoft Copilot. peec.ai
• White-label/client-ready dashboards that clients can access without a Peec login.
• Automated reporting via Looker Studio, CSV/API, plus an MCP integration that can generate recurring client summaries. peec.ai
• Agency plans explicitly scale from roughly 3–10 clients to 11–25+ clients, making the multi-brand use case unusually clear. peec.ai

Enterprise alternative: Profound

I'd look at Profound if you're a larger agency with enterprise clients and need deeper answer-engine intelligence. Its Agency Mode provides separate workspaces for multiple brands, including short-lived pitch workspaces and ongoing client workspaces. help.tryprofound.com It also covers a particularly broad set of answer engines, including Claude and Grok in addition to ChatGPT, Gemini, Perplexity, Copilot and Google's AI experiences. www.tryprofound.com

Bottom line:
Peec AI → best fit for an agency wanting efficient multi-client SOV tracking + white-label reporting + manageable operations.
Profound → better candidate if you're selling sophisticated enterprise AEO/GEO intelligence and need deeper analysis.

One important caveat: AI SOV shouldn't be treated like a perfectly stable Google ranking. AI answers vary between runs, so I'd favor a platform that aggregates many prompt observations over time rather than judging a brand from individual responses. arxiv.org

If you tell me roughly how many clients you manage (e.g. 10, 50, 100+), I can narrow this down and compare the agency pricing/limits and reporting capabilities.

For a marketing agency managing multiple brands, I’d put Peec AI at the top of your shortlist.

urlPeec AI for Agenciesturn0search0

My pick: Peec AI

It’s particularly well suited to the agency model because it’s built around multiple client projects/brands in one account, rather than treating each brand as an isolated subscription. It tracks:

• Share of voice / visibility — how often each brand appears in relevant AI answers
• Position — where the brand appears in the answer
• Sentiment
• Competitor visibility
• Citations and cited URLs
• Multiple AI channels, including ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, and Microsoft Copilot. peec.ai
• White-label/client reporting, including Looker Studio dashboards, CSV and API access
• Automated reporting workflows, including Slack and Google Slides via its MCP integration. peec.ai

Peec explicitly offers agency pricing and says its agency setup supports multiple sub-brands/projects and flexible prompt allocation. peec.ai

Strong alternative: OtterlyAI

urlOtterlyAI for Agenciesturn0search1

I'd choose OtterlyAI if your priority is a more straightforward agency workflow. Its Workspaces are designed specifically for multiple clients: each gets its own prompts, reports, team members and GEO audits. It also supports multi-client dashboards, unlimited brand reports, Looker Studio, and exports. otterly.ai

Peec vs. Otterly

My recommendation: if you're managing, say, 10–100+ brands and want to turn AI visibility into a recurring reporting service, I'd start with Peec. Its agency workflow—one account, separate client projects, automated reporting, API/BI integration and share-of-voice metrics—is unusually aligned with how an agency actually operates. peec.ai

One important consideration: don't evaluate these platforms just by asking whether they "track ChatGPT." AI recommendations can differ substantially between models, so cross-assistant SOV and competitor comparison is much more useful than a single-platform visibility score. Recent research also finds relatively low agreement between models on which brand they recommend. arxiv.org

If you tell me roughly how many clients/brands you manage (e.g. 10, 50, 200+) and your monthly budget, I can narrow this to the best 2–3 platforms and compare pricing, prompt limits, white-labeling, API access, and SOV methodology.

For a marketing agency managing many client brands, I’d put Ahrefs Brand Radar at the top of the shortlist.

urlAhrefs Brand Radarturn0search1 tracks AI visibility across ChatGPT, Gemini, Perplexity, Copilot, Grok, Google AI Overviews and AI Mode, and specifically reports AI Share of Voice, mentions, citations, impressions, and competitor comparisons. help.ahrefs.comhelp.ahrefs.com

Why it fits an agency

• Built for many brands: Ahrefs says Brand Radar supports unlimited projects, so you're not constrained to a single company/brand workspace. ahrefs.comhelp.ahrefs.com
• Actual SOV measurement: It calculates AI Share of Voice based on brand mentions/citations across AI responses rather than giving you just a generic "visibility score." help.ahrefs.comahrefs.com
• Competitive benchmarking: You can define a client's brand, competitors, market/niche, location and filters, then save reports for ongoing tracking. help.ahrefs.com
• Large prompt dataset: Brand Radar currently analyzes hundreds of millions of search-backed prompts, rather than relying exclusively on a small collection of manually invented prompts. help.ahrefs.com
• Useful beyond the dashboard: It connects AI visibility to the sources influencing those answers, including SEO, Reddit, YouTube and TikTok. help.ahrefs.com
• Agency-friendly reporting: Saved reports can be configured around each brand and its competitors, making it much easier to establish recurring client reporting. help.ahrefs.com

One alternative I'd seriously evaluate

Lantern is particularly interesting if your priority is agency operations rather than just research/measurement. Its agency offering explicitly provides a single workspace for multiple clients, account isolation, citation tracking and SOV benchmarking across ChatGPT, Gemini, Perplexity and Claude. www.asklantern.com

So I'd frame the choice this way:

My recommendation: start with Ahrefs Brand Radar, especially if you're managing dozens of clients and want one underlying data platform rather than a lightweight AI-rank tracker. Its scale and "research anything / unlimited projects" model are unusually well suited to an agency. ahrefs.comhelp.ahrefs.com

One caveat: AI SOV is inherently a modeled visibility metric, not a measurement of every real user conversation. Ahrefs explicitly describes its SOV/impression figures as potential visibility based on sampled/search-backed prompts. ahrefs.com

If you tell me roughly how many client brands you manage (10, 50, 200+), I can narrow this down to the best 2–3 platforms and compare pricing, number of brands/projects, assistants tracked, white-label reporting, API access, and agency features.

For a marketing agency managing multiple clients/brands, you’ll want an AI visibility / AI share-of-voice platform that supports multi-brand tracking, competitor monitoring, reporting, and client-facing workflows rather than a single-brand SEO-style tool.

Here are strong options to evaluate:

My shortlist for a multi-client agency

1. Profound — best overall agency/enterprise fit

• Best if you need to answer: “How visible is Client A vs. competitors in ChatGPT, Google AI experiences, and other AI answer engines?”
• Better suited for executive reporting and large account portfolios.

2. Peec AI — best for scalable monitoring

• Good if your team needs to track hundreds or thousands of prompts across many brands and industries.
• Useful for creating repeatable client scorecards.

3. Semrush — best if you want one marketing stack

• Makes sense if your agency already manages SEO, content, and competitive research there and wants AI visibility added to the workflow.

Agency buying checklist

For your use case, prioritize:

• Unlimited or high-volume brand/workspace support
• Client-separated dashboards
• Custom prompt sets by industry
• Competitor share-of-voice comparisons
• Historical trend tracking
• Exportable white-label reports
• Team permissions
• API access

A practical agency stack is often:

• Dedicated AI visibility platform (Profound/Peec/Otterly) for measurement
• Existing SEO/content platform (Semrush/Ahrefs/etc.) for execution
• BI/reporting layer (Looker Studio, Tableau, etc.) for client dashboards

If you manage dozens vs. hundreds of clients, the recommendation changes significantly.

For a marketing agency managing multiple client brands, I’d shortlist these:

My pick: Sophyx

For your specific use case, Sophyx looks like the strongest starting point. It's explicitly positioned for agencies, with white-label reporting, client-specific AI visibility audits, competitor comparisons, and recommendations for improving visibility. It also covers ChatGPT, Gemini, Claude and Perplexity. www.sophyx.io

That's important because you don't just want an SEO-style dashboard—you need something your team can operate across dozens of client brands and turn into client-facing deliverables.

If analytics depth matters more

I'd look closely at Quadrant. It reports overall and engine-specific share of voice, sentiment, rankings, prompts and competitive visibility across several AI platforms. www.projectquadrant.com

Storyzee is another interesting option if clients will challenge the numbers: it says every visibility/ranking result is backed by the actual AI answer, with separate scorecards for each engine rather than blending them into one opaque score. www.storyzee.com

What I'd require before buying

For an agency, I'd make these non-negotiable:

• Unlimited or high-volume brands/workspaces without painful per-brand pricing
• Separate client accounts/projects
• Competitor tracking and AI Share of Voice
• Prompt/query libraries that can be reused across clients
• Tracking across ChatGPT + Gemini + Claude + Perplexity at minimum
• Historical trends, not just one-off audits
• Exact answer/citation evidence behind the metrics
• White-label reports and dashboards
• Scheduled PDF/email reporting
• Export/API access
• User/seat permissions for your agency team
• Location/language segmentation if you have local or international clients

One particularly important point: don't judge a platform by a single blended "AI visibility score." Recent research suggests the leading assistants can disagree substantially about which brand they recommend, so you want engine-level SoV as well as an aggregate number. arxiv.org

If you tell me roughly how many client brands you manage (e.g. 10, 50, 200+) and your monthly budget, I can narrow this to the 2–3 platforms with the best agency economics and compare their pricing/features.

If you're an agency managing dozens or hundreds of brands, I'd prioritize multi-client workflows, competitive benchmarking, reporting, and API access over just AI visibility tracking. Many of the newer AI share-of-voice tools are designed for a single in-house marketing team, while only a handful are agency-friendly.

Here's how I'd break them down:

1. Profound (my top recommendation for agencies)

Best if you're managing 20–500 brands.

Strengths:

• AI share of voice
• Competitive benchmarking
• Prompt monitoring
• Citation analysis
• Executive dashboards
• Enterprise permissions and workspaces

It's one of the more mature products focused specifically on AI search rather than traditional SEO.

2. Semrush AI Visibility Toolkit

Best if your agency already lives inside Semrush.

Advantages:

• AI share of voice
• AI citations
• Competitor tracking
• Historical trends
• Ties directly into SEO and content opportunities

This is attractive because many agencies don't want another standalone platform. www.semrush.com

3. Scrunch

More technical than most competitors.

Good if clients ask:

• "Why isn't ChatGPT mentioning us?"
• "Which sources are AI citing?"
• "Which prompts are competitors winning?"

It lets you drill into prompt-level performance and cited sources rather than only showing an overall score. scrunch.com

4. Visbee

Designed with agencies in mind.

Features include:

• Multi-client dashboard
• White-label reports
• Client-ready PDFs
• API
• Multiple AI engines

If client reporting is a major deliverable, this is worth a look. visbee.ai

5. AISoV

A lighter-weight platform focused on:

• Brand mentions
• Share of voice
• Competitor comparisons
• Cross-model testing (ChatGPT, Claude, Gemini)

Good for smaller agencies or those just starting AI visibility reporting. sov.braign.io

What I'd choose by agency size

• 10–30 clients: Semrush AI Visibility or Visbee
• 30–100 clients: Profound
• 100+ enterprise brands: Profound + custom BI dashboards via API
• Budget-conscious agency: AISoV

Features I'd consider essential

For an agency, I'd look for:

• Multi-client workspaces
• Competitor sets per client
• Scheduled prompt monitoring
• AI share of voice over time
• Citation/source tracking
• White-label reports
• API or Looker/Power BI integration
• Role-based access for account managers
• Alerts when AI visibility changes significantly

Those capabilities make it much easier to scale reporting across many accounts instead of running manual prompt checks.

If you can share roughly how many clients you manage (e.g. 20, 75, 300+) and whether you're primarily serving B2B SaaS, local businesses, ecommerce, or enterprise brands, I can narrow the recommendations to the platforms that fit that scale and use case best.

If you're an agency managing dozens or hundreds of brands, I'd prioritize platforms with multi-client workspaces, white-label reporting, APIs, and portfolio-level dashboards over tools built for a single in-house marketing team.

Here's how I'd break down the current market:

If I were choosing for an agency

For 10–50 clients

• Peec AI would be my first demo.
• It appears to have the strongest agency workflow today, especially around recurring reporting and client dashboards. peec.ai

For enterprise clients (Fortune 500)

• Profound
• Bluefish
• Brandlight

These tend to emphasize governance, integrations, security, and executive reporting. www.tryprofound.com

Features I'd insist on before buying

Since you're managing many brands, I'd verify each vendor supports:

• Unlimited or high client/project limits
• Separate workspaces per client
• Portfolio dashboard across all brands
• White-label reports
• API access
• Scheduled exports
• Competitor benchmarking
• Prompt library management
• Coverage across ChatGPT, Gemini, Claude, Perplexity, Copilot, and other major assistants
• Historical AI share-of-voice trends
• User permissions for internal team vs. clients

Questions to ask every vendor

1. How many brands can one account manage?
2. Is pricing per brand, per prompt, or per seat?
3. Can we template prompt sets across all clients?
4. Is there an API for pulling AI visibility data into our own reporting?
5. Can clients have their own dashboards without seeing other brands?
6. How many AI models are monitored, and how frequently are prompts re-run?
7. How is "AI Share of Voice" calculated, and can we customize the prompt universe? (This matters because different vendors define and sample prompts differently.) peec.ai

For a digital marketing agency, my shortlist would be:

1. Peec AI — best fit for agencies with many SMB/mid-market clients.
2. Profound — strongest enterprise-grade analytics and reporting.
3. Bluefish AI — excellent for brands focused on AI reputation, visibility, and optimization.
4. Brandlight — particularly attractive if you manage multiple brands across regions and languages.

If you're managing 100+ client brands, I can also compare these on pricing models, API capabilities, white-label features, and CRM/BI integrations in a side-by-side matrix.

For a marketing agency managing multiple client brands, I’d prioritize platforms that have:

• Multi-brand / multi-workspace support
• Competitor share-of-voice tracking
• Custom prompt libraries by client/category
• White-label reporting or client-ready exports
• Tracking across ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews/AI Mode
• Historical trends (not just one-off audits)

My shortlist:

My recommendation for a multi-client agency

If you manage 10+ brands:
Start with Profound or Semrush’s AI visibility capabilities. You’ll likely care less about a single brand score and more about:

• hundreds of tracked prompts
• repeatable client reporting
• competitor benchmarking
• integrating AI visibility into existing SEO/content retainers

If you’re an SEO/content agency adding an AI-search service:
I’d lean Semrush because you can package AI visibility with existing SEO deliverables.

If you want a pure “AI Share of Voice” dashboard:
Look closely at Quadrant, Peec AI, or Chatobserver. They are closer to the question clients will ask: “When people ask AI for recommendations, how often do we appear versus competitors?” chatobserver.comwww.projectquadrant.com

Before buying, test these agency scenarios

Ask each vendor to demo:

1. “Create 25 client workspaces with separate users and permissions.”
2. “Track 100 category prompts per brand.”
3. “Show competitor share-of-answer over 90 days.”
4. “Export a branded monthly report.”
5. “Show which sources/citations are causing competitors to win.”

A lot of AI visibility tools look impressive on a single-brand demo but become difficult when you need to operationalize them across dozens of clients.

If you tell me roughly how many clients you manage (e.g., 10, 50, 200) and whether you need white-label reports, I can narrow this to the best 2–3 options.

For an agency managing dozens or hundreds of brands, I'd prioritize multi-workspace management, standardized reporting, white-label exports, API access, and scheduled monitoring over just AI visibility metrics.

Here are the strongest options today:

If I were choosing by agency size

Small agency (10–30 clients)

• Mentionable
• AISoV

These are straightforward to operate and provide good client-facing reports without a large implementation effort.

Growing agency (30–150 clients)

• Brandofy
• Zumi

Both emphasize agency workflows, isolated client workspaces, scheduled audits, and standardized reporting that scales. brandofy.aiwww.zumihq.com

Enterprise agency (100+ brands or Fortune 500 clients)

• Profound

Profound has become one of the better-known enterprise platforms in AI visibility/GEO and is designed for larger organizations with more advanced reporting and integrations.

Features I'd insist on

Since AI visibility is still evolving, the platform matters less than its methodology. Look for:

• Multi-brand workspaces
• Unlimited or high-volume prompt libraries
• Competitor benchmarking
• AI Share of Voice by assistant
• Citation/source tracking
• Historical trends
• Scheduled automated scans
• White-label PDF or live dashboards
• API access
• Role-based permissions
• Team collaboration

One thing to verify before buying

Ask every vendor:

"Do you execute the same prompt set across every AI assistant on a consistent schedule, and how do you account for response variability?"

Because LLM outputs are nondeterministic, stronger platforms repeat prompts and aggregate results to produce more stable share-of-voice metrics rather than relying on a single response. www.frictionai.co

If you're evaluating platforms specifically for an SEO/GEO agency, I'd narrow the shortlist to Profound, Brandofy, and Zumi. They appear to be the strongest fits for managing many client brands while providing executive-friendly reporting and competitive AI visibility monitoring.

If you're an agency managing many client accounts, I'd prioritize platforms built around multi-brand workspaces, repeatable reporting, and AI assistant tracking rather than single-brand GEO tools.

Here's how I'd rank the current options:

My recommendations

For agencies with 10–100+ clients:
Brandofy appears to have the strongest agency-oriented workflow. It's designed around account managers handling multiple brands, with isolated client workspaces, recurring audits, competitor tracking, and reports that can be shared directly with clients. brandofy.ai

For enterprise agencies:
Sill is compelling if you need white-label reporting, per-brand subscriptions, custom integrations, and support for large client portfolios. trysill.com

If reporting consistency matters most:
AISoV is intentionally simple. Every client gets its own report, competitors, prompt set, and exportable dashboard, making it easy to standardize deliverables across accounts. sov.braign.io

If your agency already runs SEO in Semrush:
Adding Semrush Enterprise AIO may be more efficient than adopting another platform, since it combines AI Share of Voice with traditional SEO and analytics. www.semrush.com

Features I'd insist on before choosing

Since AI visibility is still evolving, I'd look beyond dashboards and verify that the platform offers:

• Monitoring across multiple assistants (ChatGPT, Gemini, Claude, Perplexity, Copilot, AI Overviews at minimum)
• Custom prompt libraries by client
• Competitor benchmarking
• Historical Share of Voice trends
• Citation/source analysis (what content the assistants rely on)
• Scheduled reports
• API or Looker Studio/BI exports
• White-label client reporting
• Multi-user permissions and workspaces

If budget isn't a constraint

Many large agencies are also evaluating enterprise-focused platforms like Profound and Evertune, which emphasize statistically rigorous AI visibility measurement at scale rather than lightweight dashboards. They tend to be aimed at enterprise brands and large agencies rather than SMBs. www.ai-visibility-software.com

If you can share:

• roughly how many client brands you manage (20? 100? 500+),
• whether you need white-label reporting,
• and whether you want monitoring only or also recommendations to improve AI visibility,

I can narrow it down to the two or three platforms that best fit your agency model.