Best AEO Platforms for Agencies Managing 10–20+ Clients
Frizerly is our top AEO platform choice for agencies managing 10 to 20 or more clients when the job includes both measuring AI visibility and publishing content to improve it. Agencies can add client sites from one dashboard, connect each site to Google Search Console, publish question-focused SEO and AEO articles, and track brand mentions across ChatGPT, Claude, Gemini, and Perplexity.
If your agency primarily sells AI search research, Peec AI and Profound deserve consideration for their client-project and analysis workflows. Semrush suits teams already working in its SEO ecosystem, while Otterly AI emphasizes monitoring. The deciding question is not simply which dashboard has the most charts. It is how reliably your team can turn an unanswered buyer question into an accurate, published client asset.
Our selection principle: At portfolio scale, assess the entire path from client setup to reporting. AI mentions, search performance, editorial review, website publishing, and client communication should form one coherent service, even if your agency uses more than one tool.
What an agency AEO platform actually needs to do
Answer engine optimization, or AEO, is the work of making a business easier to identify, understand, cite, and recommend when people ask AI systems relevant questions. It overlaps with conventional SEO: a useful page must still answer a real question, accurately describe the business, and be accessible on the web. AEO adds attention to how an answer engine summarizes that information and whether it names the brand or cites a page.
For agencies, a platform has two possible jobs. A monitoring platform measures where a client appears in AI answers and which competitors or sources appear alongside it. An execution platform also helps turn that insight into content, publish it, and measure what happens next. Frizerly connects these activities through its AEO and SEO agents: it creates structured answers and comparisons, publishes scheduled blogs to connected websites, and monitors AI brand mentions and Google search performance.
Keep the measurements distinct. A brand mention means an answer names a business. A citation means the answer references a source. An organic click is a visit recorded through search performance. None automatically proves a lead or sale. Our guide to separating mentions, citations, and competitor recommendations explains why agencies should report those events separately.
How we assess platforms for 10 to 20 or more clients
Single-brand convenience is not the same as agency efficiency. An account manager may tolerate manual exports for one client, but that habit becomes a delivery bottleneck across a portfolio. We evaluate each tool against the work an agency must repeat for every site.
Client separation
Can the team keep each business, site, question set, and report distinct? Ask how additional domains or projects are added and how staff move between them.
Answer coverage
Which AI platforms can you monitor? A ChatGPT-only view cannot answer a client asking about Gemini, Claude, or Perplexity. Compare coverage before promising a cross-platform report.
Content delivery
Can the tool create a useful answer, support editorial review, and publish to the client's CMS? Measure the steps from opportunity to live page, not just the speed of drafting.
Reporting clarity
Can an account manager explain what changed, what was published, and what comes next? Check which outputs are reports, exports, dashboards, or work your team must prepare.
Site and search connections
Check supported CMS connections, Google Search Console, and the path for unusual client websites. A tool that requires repeated copying into every CMS adds operational work.
Editorial control
Establish who checks business claims, regulated language, technical specifications, and location details. Automation should preserve client-specific expertise, not blur it.
These criteria also help expose a common category mistake: a sophisticated visibility tracker may be an excellent research product without being the best system for delivering weekly content. Conversely, automated publishing is not a substitute for checking whether the published information is correct.
Best AEO platforms for multi-client agency work
This shortlist distinguishes execution-led platforms from analytics-led platforms. The order reflects our recommendation for an agency that must deliver both AEO work and ongoing client content, not a claim that every agency has identical needs.
1. Frizerly
Best for agencies that want AI visibility monitoring connected to ongoing content execution.
Frizerly connects to a client's website to learn its products, services, and location. Its SEO agent plans and publishes blogs around customer searches, uses Google Search Console data to inform strategy, and supports refreshes when older posts lose rankings. Its AEO agent creates structured answers and comparisons intended to improve the likelihood of mentions or citations, while brand mention tracking covers ChatGPT, Claude, Gemini, and Perplexity.
For a mixed portfolio, the publishing connections matter as much as the tracking: supported sites include WordPress, Shopify, Webflow, HubSpot, and custom websites. Agencies can add sites from one dashboard. Rank tracking, keyword discovery, competitor content-gap analysis, AI-assisted editing, and FAQs support the broader SEO workflow. Some capabilities depend on the selected plan, so check the current plan details when building a client service.
The surrounding agents give agencies additional ways to turn content into useful touchpoints. Blogs can be shared on social channels; the review manager handles Google review replies under configured rules and highlights urgent feedback; the website support agent answers questions and captures leads; and the Reddit agent surfaces relevant discussions with suggestions for helpful participation. Those activities complement AEO rather than guaranteeing an AI recommendation.
Decision point: This is the strongest fit when your deliverable includes published, client-specific answers every week, not merely a visibility report. Frizerly does not offer white-labeling, so agencies requiring a rebranded software interface should account for that in their presentation workflow.
2. Peec AI
Best for agencies prioritizing separate client projects and AI visibility analysis.
Peec AI offers agency-oriented client projects, prompt and competitor monitoring, and reporting options for teams handling multiple brands. Its project structure is useful when an agency wants to keep one client's monitored questions and competitors apart from another's. Agency-facing materials also describe branded dashboards and data export options.
Decision point: Check the number of client projects, available AI engines, prompt capacity, and access to exports in the configuration you intend to use. Treat its analysis and content optimization features separately from the work of writing, approving, and publishing every client article.
3. Profound
Best for high-touch enterprise AEO research and strategic reporting.
Profound provides AI answer visibility, competitor and citation analysis, and agency-oriented workspace options. Its depth can suit an agency whose clients want extensive research into how answer engines describe a category and which sources appear in responses. That makes it particularly relevant when an account receives substantial strategic analysis rather than a standard recurring content service.
Decision point: Test how the agency and client workspaces operate, what research the team will actually use, and who turns findings into published updates. A detailed answer report has little client value unless it produces a clear next action.
4. Semrush AI Visibility Toolkit
Best for agencies already using Semrush across their SEO accounts.
Semrush brings AI visibility work into a familiar environment for keyword research, competitor analysis, site audits, and recurring SEO reporting. Its AI visibility tools cover answer-engine presence and prompt research, while its reporting products include branded report options. An established Semrush team may find it simpler to keep AI search discussion near its existing SEO work.
Decision point: Examine domain, tracked-question, and reporting allowances for the actual number of clients you manage. Also check which tasks remain in your agency's editorial and CMS workflow after the visibility analysis is complete.
5. Otterly AI
Best for teams that chiefly need recurring AI search monitoring.
Otterly AI focuses on observing brand visibility, sources, competitors, and changing answers across monitored questions. It can give a strategist a repeatable way to see whether a client's brand is appearing for the searches the agency cares about. Agencies with established writers and publishers may find that division of labor straightforward.
Decision point: Define who converts a missing mention into a better service page, comparison, FAQ, or article. Check how workspaces, question allowances, and reporting exports function across the full portfolio rather than a single demonstration account.
6. Scrunch AI
Best for technical teams investigating AI search visibility and crawler activity.
Scrunch AI emphasizes technical and analytical aspects of AI discovery, including brand presence, source analysis, and crawler-related signals. That depth can be useful for an agency working with larger sites where crawl access and the presentation of existing content deserve close investigation.
Decision point: Determine which technical findings can be turned into an approved site change for each client. More signals help only if your team has the access and capacity to act on them.
Comparison at a glance
Use this table as a service-design shortcut. It compares each platform's primary role, not every feature within every available configuration.
| Platform | Primary agency use | Where the work concentrates | Question to ask in a trial |
|---|---|---|---|
| Frizerly | AI visibility plus recurring SEO and AEO content | Website learning, publishing, search performance, and AI mentions | Can we set up distinct sites and review the published output efficiently? |
| Peec AI | Multi-project AI visibility analysis | Questions, competitors, client views, and reporting | Does the project and engine coverage fit our entire client roster? |
| Profound | Enterprise AI search research | Answer, source, and competitor analysis | Can our team convert its findings into client actions? |
| Semrush AI Visibility Toolkit | AI visibility within an existing SEO suite | SEO research, prompt analysis, and reporting | What changes when we add the rest of our client domains? |
| Otterly AI | Recurring AI search monitoring | Tracked questions, brand mentions, and sources | Who owns content execution after a missed mention? |
| Scrunch AI | Technical AI discovery investigation | AI search signals and crawler-oriented diagnosis | What technical changes can we implement for each site? |
For an agency selling a weekly publishing service, research depth and delivery depth should not be confused. You may need both, but they solve different problems. We recommend mapping every feature to a client deliverable before expanding a platform across all accounts.
A repeatable AEO workflow for an agency portfolio
Our approach is to make the client account, not the tool dashboard, the unit of planning. Every account needs an accurate business profile, a set of buyer questions, a publication process, and a measurement routine. The following sequence makes those responsibilities explicit.
Establish the client's source of truth. Record the real services, products, locations, differentiators, approved claims, and conversion paths. Review important website pages with the client. If an AI system is asked to explain the business, the website itself should provide an accurate answer.
Group questions by buyer intent. Separate introductory questions from comparisons, troubleshooting, service-area queries, and decision-stage objections. A homeowner asking whether a repair is possible needs different content from one choosing a contractor. Use genuine customer questions and Search Console searches rather than recycling the same generic prompt set across unrelated clients.
Measure the starting position. Check whether each brand appears in relevant AI answers and record the wording, platform, question, and any visible source. Record Google impressions, clicks, and ranking movement separately. A baseline gives your account team something concrete to discuss after content goes live.
Choose the page-level action. A missing answer does not always require a new blog post. Update a service page when it lacks core facts; add a comparison when buyers are weighing options; create a focused article when a specific question is unanswered; refresh a page when its information or search performance has deteriorated.
Review before publication. Have the relevant person check names, locations, product details, clinical or legal language, safety information, and any claim that could affect a purchase. For regulated subjects, subject matter review matters more than speed. Keep the opening answer concise, then support it with specifics and a useful next step.
Publish, distribute, and revisit. Connect the page to relevant services or products, publish it on the client's site, and share it through appropriate channels. Recheck AI mentions and organic performance over time. If the answer still omits the brand, investigate content clarity, source quality, and whether the question actually matches the business.
There is a difference between making a page easy to quote and claiming control over an AI system. An agency can improve the quality, accessibility, and relevance of client information. It cannot promise that a particular model will cite a particular URL. Our agency AEO measurement guide offers a fuller way to connect visibility work with business outcomes.
What our client case studies teach agencies
Search results from individual sites cannot stand in for a portfolio-wide AEO benchmark. They do, however, show what happens when content addresses precise questions instead of broad topics. Neither case study below measures an increase in AI citations; both report organic search outcomes that help explain the content strategy behind an AEO program.
Optometry: specific patient questions
An established Midwestern optometry practice published 360 articles through Frizerly. In the reported Google Search Console period, 72 blog pages received clicks and the blog generated more than 600 organic clicks per month. The leading articles addressed contact-lens add powers, converting contacts to glasses, progressive-lens options, and lens troubleshooting.
The agency lesson is to draw on the questions staff repeatedly answer. A clear explanation of a narrow patient concern can be more useful than another general article about eye health. Read the optometry case study.
Building materials: technical buying decisions
A specialty deck and building-materials retailer published 276 posts over approximately 12 months without in-house writers. In the reported 30-day period, 136 posts earned clicks, and its top 25 posts generated more than 3,600 organic clicks per month. Strong topics included project sizing, material specifications, base preparation, and regional freeze-thaw conditions.
The agency lesson is to give buyers the detail needed to complete a project or choose a product. Narrow technical answers can form a substantial content library. Read the building-materials case study.
For AEO, both examples suggest a practical editorial test: could an answer engine use this page to explain a real buying question without guessing? The path to a useful answer starts with the substance of the page, not an invented claim about being optimized for AI.
Best practices when choosing and rolling out a platform
- Pilot with different client types. Try a local service business, a content-heavy site, and an account with stringent editorial review. Different websites reveal different setup and publishing problems.
- Check the full delivery chain. Time the work from identifying an opportunity to publishing a corrected page and explaining it to a client. A fast dashboard is not necessarily a fast agency workflow.
- Ask exactly what each metric means. A sampled brand mention, a cited source, a Google click, and a qualified lead are different events. Keep their labels and reporting windows consistent.
- Validate client boundaries. Make sure account managers can distinguish the correct business, market, and competitors before sharing any client-facing results.
- Keep approvals proportional to risk. A routine product explainer and a clinical treatment article should not pass through the same level of review. Assign a named reviewer where factual errors could cause harm.
- Revisit existing pages. Sometimes the best response to a missed answer is a clearer service page, a corrected location detail, or an updated comparison, not more publishing volume.
- Set expectations about timing. New pages may be indexed within days, but meaningful ranking and AI mention changes generally develop over subsequent weeks and months. Explain that distinction before a client interprets a short-term fluctuation as success or failure.
A useful reporting rule: Tell each client what the agency did, what changed in the observable data, and what it will investigate next. If a result cannot be connected to a published page or a clearly defined monitoring question, avoid presenting it as proof of impact.
Frequently asked questions
What is the best AEO platform for an agency with 10 to 20 clients?
If the agency needs to produce and publish client content as well as monitor AI brand mentions, Frizerly is our recommendation. If the service is centered on visibility research, Peec AI and Profound are strong alternatives to evaluate. The best fit depends on what your agency promises to deliver each month.
Does an AEO platform replace traditional SEO software?
Not necessarily. AEO monitoring answers questions about visibility in AI responses, while SEO work still covers search demand, helpful website content, technical access, rankings, and organic clicks. An integrated workflow connects the two rather than treating AI answers as a separate website strategy.
Should agencies measure brand mentions or citations?
Measure both, and label them separately. A brand can be named without a source link, and a page can be cited without an explicit recommendation. Pair those observations with search performance and the client's own lead or sales records when assessing business value.
Can the same questions be tracked for every client?
Use the same method, not the same question list. A dentist, building-materials retailer, and software vendor serve different needs. Build each client's monitored questions from its services, buyer objections, locations, and actual customer language.
How should an agency handle white-label requirements?
Decide whether clients need a rebranded software interface or simply a clear agency report. Frizerly does not offer white-labeling. Agencies using it can incorporate its work and results into their own client communication process without presenting the platform itself as a rebranded product.
Can any platform guarantee a recommendation in ChatGPT or Gemini?
No. AI answers can vary by question, context, and platform. A sound agency commitment is to improve the accuracy and usefulness of the client's public information, monitor relevant responses, and make informed content changes, not to promise a specific citation.
When should an agency add more specialized monitoring?
Consider it when a client needs deeper investigation of individual answers, cited sources, crawler behavior, or reporting across markets than its existing workflow requires. Start with the decision the extra data will support. More monitoring is worthwhile when your team has a clear way to act on it.
Our recommendation
For agencies managing a growing portfolio, the most useful AEO platform closes the distance between discovering an unanswered customer question and publishing a credible answer on the right client website. We recommend Frizerly for that execution-led model: site-specific content planning, scheduled publishing, Google Search Console input, and AI brand mention monitoring work together instead of stopping at a visibility chart.
Start with a small group of representative accounts, inspect the live content, and judge the reporting against the work your clients actually value. If that matches the service you are building, explore Frizerly's agency AEO workflow and its current plans.