Positive mentions of Peec AI

If you're a content agency managing many client accounts, I'd look at tools that do more than track whether a brand appears in ChatGPT. You want multi-client workspaces + citation/visibility tracking + actionable content recommendations + client reporting.

Shortlist

My take for a content agency

Profound is probably the most comprehensive option to investigate first. Its Agency Mode lets you maintain separate client workspaces, while its platform tracks visibility across ChatGPT, Perplexity, Google AI Overviews/AI Mode, Gemini, Claude, Copilot and other answer engines. It also has tooling intended to turn visibility gaps into content/action opportunities. Profound Profound Help Center

Peec AI is particularly interesting if your agency's business model depends on servicing dozens of clients and producing recurring reports. It offers isolated client projects, unlimited client/team seats on its agency plans, branded/shareable dashboards, and API/CSV/Looker Studio connectivity. Peec AI Peec AI

Citations.io is worth a close look if your actual deliverable is "here are the pages/content/citations we need to create or improve." Its agency offering explicitly turns AI-answer gaps into implementation packs covering things such as content briefs, internal links, schema and citation outreach. Citations

Lantern is another interesting fit if you want to move toward automation: it advertises per-client isolation, citation/share-of-voice tracking, and an agent that researches gaps and produces AI-optimized content. Lantern

The key distinction I'd make

If your agency wants to sell "AI visibility reporting", Peec is worth evaluating.

If you want to sell "AI visibility + actually optimizing the client's content to improve it", I'd put Profound, Lantern, and Citations.io higher on the evaluation list.

And if you're managing 20–100+ clients, I'd prioritize these capabilities during a demo:

• Separate workspace for every client
• Bulk prompt/keyword management
• Citation-level analysis — which pages are AI engines actually citing?
• Identification of content gaps, not merely visibility scores
• Content briefs generated from those gaps
• Competitor/citation-source analysis
• White-label dashboards and reports
• API/export capabilities
• Ability to automate weekly/monthly reporting
• Clear separation of client data

One important caveat: AI-answer visibility is still a relatively new measurement category, so I wouldn't select a platform based on its proprietary "AI visibility score" alone. Look underneath the score at the actual prompts, answers, citations, sources and recommended actions.

If you tell me roughly how many clients you manage (e.g. 10, 50, 200) and whether you want monitoring only vs. automated content optimization, I can narrow this to 2–3 platforms and compare their agency pricing/workflows.

Peec AI is particularly interesting if your agency's business model depends on servicing dozens of clients and producing recurring reports. It offers isolated client projects, unlimited client/team seats on its agency plans, branded/shareable dashboards, and API/CSV/Looker Studio connectivity. Peec AI Peec AI

Citations.io is worth a close look if your actual deliverable is "here are the pages/content/citations we need to create or improve." Its agency offering explicitly turns AI-answer gaps into implementation packs covering things such as content briefs, internal links, schema and citation outreach. citations.io

Lantern is another interesting fit if you want to move toward automation: it advertises per-client isolation, citation/share-of-voice tracking, and an agent that researches gaps and produces AI-optimized content. asklantern.com

The key distinction I'd make

If your agency wants to sell "AI visibility reporting", Peec is worth evaluating.

If you want to sell "AI visibility + actually optimizing the client's content to improve it", I'd put Profound, Lantern, and Citations.io higher on the evaluation list.

And if you're managing 20–100+ clients, I'd prioritize these capabilities during a demo:

Yes. If you're a content agency managing many clients, I’d look at tools built around multi-client AI visibility + content optimization, rather than standalone “AI SEO graders.”

The strongest options to evaluate

My shortlist

1. Peec AI — probably the most agency-friendly starting point

Peec explicitly supports unlimited client workspaces, separate prompts/competitors/channels per client, unlimited team seats, branded client dashboards, and automated reporting. It tracks visibility, position, sentiment and citations across ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode and Microsoft Copilot. Peec AI Peec AI

What's particularly relevant for a content agency is that it doesn't stop at “are we mentioned?” It identifies which sources are being cited and which content/citation gaps represent opportunities, giving your writers something actionable to work from. Peec AI

peec.ai

2. Profound — strongest if you want to build a serious AEO service

Profound has an agency-specific Agency Mode with separate client and pitch workspaces. Its platform combines Answer Engine Insights with content optimization Agents, so you can go from identifying a client's visibility/citation gaps to generating optimization recommendations and content. Profound Profound Help Center Profound

The distinction is important: Profound is trying to make AI visibility measurement → content action → measurement one workflow rather than simply providing another rank tracker.

tryprofound.com

3. Semrush — best if you want AI visibility integrated with conventional SEO

Semrush's AI Search Optimizer analyzes existing content and provides recommendations around factors associated with AI citations, while its AI Visibility Toolkit tracks brand mentions, citations, competitors and relevant prompts. Semrush Semrush

For an agency already doing keyword research, technical SEO, content briefs and reporting in Semrush, this can be attractive because AI search becomes another layer of the existing workflow rather than another platform.

semrush.com

4. Indexly — interesting if you want execution as well as measurement

Indexly positions itself as a full multi-client AI-search stack: visibility tracking, AI-readiness audits, content generation/optimization/refresh, and reporting from one agency dashboard. It also supports publishing optimized content to WordPress, Ghost and Webflow. Indexly

indexly.ai

What I'd prioritize for a content agency

I'd evaluate them against this workflow:

Client → target prompts → current AI answers → citations/sources → content gap → optimization brief → writer → publish → remeasure citations/visibility → client report

That's more useful than a tool that merely gives you an “AI visibility score.”

For your particular use case, I'd put Peec, Profound, and Semrush through a hands-on trial using the same 2–3 clients. Compare:

• How quickly you can onboard 10–20 clients
• Whether each client has genuinely isolated data
• How good the content recommendations are
• Whether recommendations are based on actual AI citations rather than generic SEO rules
• Prompt tracking volume and refresh frequency
• ChatGPT/Claude/Gemini/Perplexity/Google AI coverage
• White-label dashboards and reports
• API/MCP access
• Ability to turn insights into writer-ready briefs
• Cost as your client count grows

If your primary business is content production, rather than SEO consulting, I'd pay particular attention to Profound and Peec. Profound is more explicitly trying to connect AI visibility data to content optimization, while Peec looks particularly strong for the operational “one agency → many isolated client workspaces → automated reporting” problem. Peec AI Profound

If you tell me roughly how many clients you manage (e.g. 10, 50, 200+) and whether you want the tool mainly for content briefs, optimization of existing articles, or client reporting, I can narrow this to the 2–3 platforms that fit that operating model.

Peec explicitly supports unlimited client workspaces, separate prompts/competitors/channels per client, unlimited team seats, branded client dashboards, and automated reporting. It tracks visibility, position, sentiment and citations across ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode and Microsoft Copilot. Peec AI Peec AI

What's particularly relevant for a content agency is that it doesn't stop at “are we mentioned?” It identifies which sources are being cited and which content/citation gaps represent opportunities, giving your writers something actionable to work from. Peec AI

peec.ai

2. Profound — strongest if you want to build a serious AEO service

Profound has an agency-specific Agency Mode with separate client and pitch workspaces. Its platform combines Answer Engine Insights with content optimization Agents, so you can go from identifying a client's visibility/citation gaps to generating optimization recommendations and content. Profound Profound Help Center Profound

The distinction is important: Profound is trying to make AI visibility measurement → content action → measurement one workflow rather than simply providing another rank tracker.

tryprofound.com

3. Semrush — best if you want AI visibility integrated with conventional SEO

Semrush's AI Search Optimizer analyzes existing content and provides recommendations around factors associated with AI citations, while its AI Visibility Toolkit tracks brand mentions, citations, competitors and relevant prompts. Semrush Semrush

For an agency already doing keyword research, technical SEO, content briefs and reporting in Semrush, this can be attractive because AI search becomes another layer of the existing workflow rather than another platform.

semrush.com

4. Indexly — interesting if you want execution as well as measurement

Indexly positions itself as a full multi-client AI-search stack: visibility tracking, AI-readiness audits, content generation/optimization/refresh, and reporting from one agency dashboard. It also supports publishing optimized content to WordPress, Ghost and Webflow. indexly.ai

indexly.ai

What I'd prioritize for a content agency

I'd evaluate them against this workflow:

Client → target prompts → current AI answers → citations/sources → content gap → optimization brief → writer → publish → remeasure citations/visibility → client report

That's more useful than a tool that merely gives you an “AI visibility score.”

For your particular use case, I'd put Peec, Profound, and Semrush through a hands-on trial using the same 2–3 clients. Compare:

If you mean “I want to see when ChatGPT/Perplexity/Gemini/Claude answers use my content, which exact passages they pulled, and what edits would increase my chances of being cited”, you’re looking for a Generative Engine Optimization (GEO) / AI visibility monitoring tool rather than a normal SEO crawler. arXiv Shadow

Tools in this category include:

TechRadarFor the specific “which snippets of my content are being used?” requirement, look for features called:

• Citation attribution — shows URLs cited by AI answers.
• Passage/snippet extraction — identifies the paragraph or section likely used.
• Citation influence / absorption analysis — measures whether your content merely appears as a source or actually contributes wording/facts to the answer. arXiv
• Prompt monitoring — runs a set of target questions repeatedly and records AI responses.
• Content gap recommendations — suggests missing facts, formats, headings, or evidence blocks.

A typical workflow:

1. Define 50–500 prompts your customers ask AI assistants.
2. Run them across ChatGPT, Perplexity, Gemini, Claude, and AI search products.
3. Capture:

• whether your domain appears
• which competitor sources appear
• which claims/snippets are cited
• how often you are mentioned
• Compare cited passages against your pages.
• Rewrite pages into more extractable answer blocks:

• direct answers near the top
• question-style headings
• short factual paragraphs
• original data/examples
• clear attribution and sources

These formats are commonly recommended because AI systems often retrieve at the passage level rather than treating a page as one unit. xSeek Shadow

One caveat: no tool can reliably tell you the exact hidden internal text span used inside every AI model response, because most assistants do not expose their retrieval traces. Tools can infer usage from citations, retrieved pages, answer comparisons, and controlled prompt tests; they generally cannot see a model’s private context window. OpenAttribution

If your goal is SEO/content optimization, I’d shortlist:

• Profound → enterprise monitoring and attribution
• Scrunch AI → technical AI visibility audits
• Peec AI / Otterly → lighter-weight tracking

If you tell me your scale (one website vs. thousands of pages, B2B vs. ecommerce, and which AI assistants matter), I can narrow it down.

If your priority is multilingual content + tracking which URLs AI assistants actually cite, I’d shortlist these platforms:

My practical take

OtterlyAI is probably the first one I'd evaluate for your use case. It explicitly supports 65+ countries and languages, lets you segment AI visibility by market, and tracks the actual URLs cited in AI answers. It covers ChatGPT, Google AI Overviews/AI Mode, Gemini, Perplexity, Copilot and Claude. Otterly Otterly

That combination is important because you don't just want to know "are we mentioned?" You want something closer to:

Language → market → prompt → AI engine → brand mention → cited URL → competitor cited instead → content/action to improve

Otterly also provides content audits and GEO recommendations rather than stopping at measurement. Otterly

Profound is worth testing alongside it if you're an enterprise organization and source-level citation intelligence, larger-scale monitoring, and enterprise controls matter more than simplicity. Independent 2026 comparisons put Profound toward the enterprise end of the market. Marqeable SEO Counselors

One thing I'd specifically test in demos: don't accept “supports 100 languages” as sufficient. Ask vendors to demonstrate the same 20–50 prompts in, say, English, German, French, Japanese and Spanish and show you the actual cited URLs by language/market. Multilingual AI visibility can differ substantially even when the underlying topic is identical.

If you tell me roughly how many languages/markets, domains, and prompts you need to track, I can narrow this to 2–3 platforms and compare their pricing, API/reporting, citation accuracy, and multilingual capabilities.