April 2026 marked the inflection point: AEO-as-a-Service moved from experimental to essential infrastructure for multi-brand agencies. Enterprise platforms like Profound dominate the Fortune 500 market at $500+/month. But the category that defines modern agency work—tracking plus content creation, white-label resale, and agency-first pricing—sits in the middle at $200–$500/month platform cost plus per-brand tiers.
If you are managing 5–50 brands and deciding whether to build AEOaaS tooling in-house or buy a platform, this guide breaks down six vendors dominating the space, where each wins, where each loses, and how to spot the wrong choice before it costs you a retainer.
The April 2026 Inflection
For the first time, a critical mass of agencies stopped treating AEO as experimental and started budgeting it as table-stakes. Per GenOptima's April 2026 survey, mid-market AEO retainers now run $2,000–$8,000 per brand per month—the same range as SEO retainers. AEO is no longer a line item. It is a revenue stream.
This acceleration created a vendor problem. Large enterprise platforms—Profound, Goodie AI—were built for single in-house teams optimizing one brand at a time. Bootstrapped point tools—Otterly—were built for freelancers spot-checking visibility on a handful of clients. Neither serves the core agency use case: operating a dashboard for 10, 20, or 50 client brands simultaneously, white-labeling reports, managing per-brand AEO subscriptions, tracking all five AI engines without per-engine add-ons, and bundling autoblogging content so the agency doesn't need separate writers.
The AEOaaS sweet spot bridges this gap. These platforms are built explicitly for agencies.
Enterprise vs. Agency-First: Where Profound Diverges
Profound raised $96M Series C at a $1B valuation in February 2026 and serves 700+ enterprise customers, including 10%+ of the Fortune 500. Their platform is exceptional—five-engine tracking, generative AI recommendations, compliance reporting. Their pricing is equally exceptional: $499 to $1,499/month per brand, plus enterprise custom for larger portfolios.
This pricing makes sense if you are a Fortune 500 CPG brand managing a single product line with a $500K AEO budget and a dedicated in-house team. It makes no sense if you are an agency running that platform on behalf of 10 clients. Your cost would be $4,990/month—roughly half the entire revenue from a mid-size agency's AEO practice. Profound's architecture is single-tenant, their implementation is 8-week enterprise sales cycles, and their NPS driver is "executive visibility and governance." None of it is agency-native.
Peec AI, Scrunch, Otterly, AthenaHQ, and GenPicked operate in a different category. They are built for multi-tenant workflows, white-label resale, and sub-$400/month entry points for agencies managing multiple brands under one dashboard.
The Three Pillars of AEOaaS
The platforms winning with agencies in 2026 share three core features. If a vendor is missing any of these, they are missing a major revenue lever for your agency.
1. Multi-engine citation tracking. An AEOaaS platform must track at minimum ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews—the five engines driving the majority of AI search traffic. Per Conductor's 2026 AEO benchmark, 62% of agencies now monitor five or more engines. Single-engine dashboards are dead. Platforms charging per-engine add-ons (Peec, Otterly at scale) are cheaper initially but more expensive at full scope. Platforms with built-in five-engine coverage (GenPicked, Profound) cost more upfront and less over time.
2. Content generation plus optimization. Citation tracking alone is a monitoring layer. AEOaaS wins when you add content creation. Scrunch AI and GenPicked both bundle autoblogging that generates AEO-optimized content—50-150 word chunks with FAQ schema, semantic clustering, and ready-to-publish assets. Tracking without content creation is like having a weekly audit but no prescription. You need both.
3. White-label resale rights. The margin math only works if your client—or your agency—can white-label the platform reports and portal to your brand. GenPicked's Scale tier includes full white-label with resale rights. Most others (Peec, Scrunch, Otterly, AthenaHQ) have limited or no white-label offerings. This is the feature that separates a cost center from a revenue stream. With white-label, your client sees your brand on the report, not the vendor's.
Platforms without white-label are service agreements you pay to use. Platforms with white-label and resale rights are products you can charge your client for. The revenue model flips.
Vendor Profiles: Where Each Platform Wins
Peec AI—Multilingual depth, tracking-first, à la carte LLMs add cost at scale
$29M total funding ($21M Series A, Nov 2025); 1,300+ brands onboarded. Best for agencies with multilingual clients needing deep prompt-level tracking. Pricing: €75–€493/mo base (25–100 prompts); add €30–€140/mo per LLM engine. True multi-engine cost: $117–$237+/mo. Agency weakness: Per-LLM add-ons compound costs for multi-engine agencies. No built-in content creation. Requires manual prompt budget management per brand at 20+ brands.
Scrunch AI—Agency tier exists, 50% MoM growth, content-strong but incomplete 5-engine
$19M total ($4M seed + $15M Series A, July 2025); 500+ paying customers; 50% month-over-month growth. Best for agencies prioritizing content optimization and native multi-brand UX. Pricing: $300/mo (Starter) / $500/mo (Agency) / $1,200+ (Pro/Enterprise). Agency weakness: Partial 5-engine coverage (emphasis on ChatGPT, Perplexity, Gemini; less native depth on Claude and Google AI Overviews). White-label not as developed as competitors. Smaller user base than Peec or Profound.
Otterly—Bootstrapped, lowest price floor, pure tracking, no white-label
$770K revenue (2025); 7-person team; bootstrapped. Named Gartner Cool Vendor 2025 for AI in Marketing. Best for budget-conscious agencies validating AEO before commit. Pricing: $29/mo (Lite) to $489/mo (Premium); 15–400 prompts plus à la carte engine modules ($99 per 100-prompt module). Agency weakness: Tracking only; no content creation. No white-label or resale. Doesn't scale cleanly to 50-brand portfolios (manual multi-brand management required). Bootstrapped team means slower feature velocity vs. VC-backed competitors.
AthenaHQ—Y Combinator-backed, credit-based pricing, early-stage
$2.7M total funding (Feb–Jun 2025); 70+ early adopters; seed stage. Best for early-adopter agencies willing to experiment. Pricing: First month $95; renews $295–$499/mo (3,600 monthly credits; additional credits $100 per 1,250). Agency weakness: Nascent platform; limited production track record at agency scale (5–50 brands). Credit-based pricing less transparent than seat-based. No documented white-label. Seed-stage means product roadmap uncertain.
GenPicked—Agency-first pricing band, 5-engine native, 9-agent autoblogger, white-label at Scale
Bootstrapped; focused on product-market fit with 5–50 brand agencies. Pricing: Platform tier ($97/mo Starter / $197/mo Growth / $397/mo Scale) + per-brand tier ($75 Lite / $149 Standard / $299 Pro / $525 Premium). Typical agency spend: $197 platform + $75 × 5 brands = ~$572/month blended. Best for agencies managing 5–30 client brands who want tracking, content creation, and white-label reporting bundled. Agency strength: Explicit product positioning for agencies. All-in pricing (no per-LLM add-ons). Built-in 9-agent autoblogger. Transparent ACS formula (ChatGPT 0.35, Perplexity 0.25, Gemini 0.25, Claude 0.15). White-label at Scale tier enables resale economics. Native multi-tenant dashboard. Agency weakness: Smaller brand awareness vs. VC-backed competitors. No Fortune 500 customer case studies (product-market fit is SMB/mid-market agencies, not enterprise).
Comparison Matrix
| Vendor | Price | Multi-Brand | 5-Engine | White-Label | Best For |
|---|---|---|---|---|---|
| Peec AI | €75+ | Yes | Yes (à la carte) | Limited | Multilingual agencies |
| Scrunch AI | $300+ | Yes | Partial | Limited | Content-first agencies |
| Otterly | $29+ | Yes (manual) | Yes (à la carte) | No | Solo agencies, pilots |
| AthenaHQ | $95+ | Yes (unclear) | Yes | No | Early adopters |
| GenPicked | $97–$397+ | Yes (native) | Yes | Yes (Scale+) | 5–30 brand agencies |
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Start free trialFive-Engine Coverage Decoded
Not all engines are equal in their citation behavior or traffic impact. This is the single most important fact agencies get wrong when comparing AEOaaS platforms.
ChatGPT (0.35 weight in GenPicked ACS formula, highest volume traffic): Drives approximately 87.4% of all AI referral traffic per Conductor's 2026 benchmark. Mentions brands in roughly 73.6% of responses per Profound's data. Heavily citation-weighted—cites sources frequently, often in parenthetical or reference format. Strategic implication: Your brand must be cited in ChatGPT to move traffic. It is the engine that matters most.
Perplexity (0.25 weight, second-largest volume): Cites sources more explicitly than ChatGPT—often as footnotes or inline links. Reddit dominates Perplexity citations: 46.7% of Perplexity's top 10 citations come from Reddit per Discovered Labs' analysis. Strategic implication: Perplexity visibility requires different tactics than ChatGPT. If your client isn't on Reddit being discussed, Perplexity won't cite them.
Gemini & Google AI Overviews (0.25 weight, rapidly growing adoption): Google's generative AI product and answer layer on SERP. Google AI Overviews now trigger on 48% of tracked queries, up from 31% a year prior per Ahrefs. Cites Google properties heavily (16.4% of citations), which advantages domain authority and established sites. Strategic implication: Traditional SEO strength (domain authority, backlinks, top-10 rankings) correlates more strongly with Gemini than with ChatGPT. Your existing SEO efforts compound your Google AI Overviews visibility.
Claude (0.15 weight, highest brand-mention rate but smaller footprint): Anthropic's model with the smallest traffic volume but highest brand-mention rate. Per Profound's data, Claude mentions brands in 97.3% of answers—the highest of all five engines. Strategic implication: Claude users are more likely to see your brand mentioned. But because Claude's overall traffic is smaller, it's a lower-volume opportunity than ChatGPT. However, because Claude mentions more brand names, it's a leading indicator of whether your domain authority and content structure improvements are working.
When evaluating platforms, ask the vendor to show you an example per-engine breakdown for one brand. Do not accept a single blended 'AEO visibility score.' The variance between engines reveals what's working and where the gaps are. A platform that hides per-engine data is hiding the insights you need.
Evaluation Framework: Five Questions
The Hidden Pricing Math at Scale
Otterly for 10 brands with 5-engine coverage: Premium tier at $489/mo + $400/mo additional engines (à la carte) for first brand, repeat for second brand. Extrapolate to 10 brands: ~$8,500–$10,000/mo with manual multi-brand management and no white-label.
GenPicked for 10 brands: $197 Growth plan (multi-brand unlimited) + $75 × 10 brands ($750) = $947/mo for 10 brands with native 5-engine coverage, white-label reports, and autoblogging bundled.
The delta is 8–10× cheaper at scale. GenPicked at full scope delivers more features—content creation, white-label, unified dashboard—at a fraction of the per-engine add-on cost of competitors.
When to Choose Each Vendor
You should choose Peec AI if: You manage multilingual brands across 5–15 countries and need depth in non-English AEO strategy. Willing to manage per-engine billing and implement prompt-level budgeting discipline across brands.
You should choose Scrunch AI if: Content optimization is your primary need and you prioritize tight UX for agency workflows. Managing 5–20 brands. Willing to accept partial 5-engine tracking if content-first positioning is your higher priority.
You should choose Otterly if: You are a freelancer or solo agency testing AEO before bigger commitment. Budget is sub-$100/month initially. Single-client focus acceptable. Will accept tracking-only (no content creation).
You should choose AthenaHQ if: You are early-adopter focused, willing to experiment with seed-stage tooling, and managing 3–8 brands. Want to be close to product team during development. Understand product roadmap has risk.
You should choose GenPicked if: You manage 5–30 client brands and want all-in pricing, native 5-engine tracking, white-label resale, and built-in autoblogging in one platform. Don't want to manage per-engine add-ons. Want to turn AEO from cost center into product line you resell.
Final Positioning: What You're Actually Choosing
The AEOaaS decision is not primarily about features. It is about whether your revenue model supports a cost center (platform you use) or a profit center (product you resell).
Profound assumes you are running AEO as a cost center. The vendor owns the relationship. You own the effort. Otterly and point-tools assume you are a freelancer. Lightweight, cheap, solo-focused.
GenPicked, Scrunch, and Peec (at their best) assume you are running AEO as a product line you resell. Platform cost is an input. Client fee is the output. Your margin is the delta.
In conversations with agency owners over the past quarter, the agencies clustering around AEOaaS platforms are trying to convert AEO into a profit center. They have five to ten clients already on AEO retainers. They want to scale that without hiring a dedicated AEO analyst. They want to turn the platform from a line-item cost into a proprietary service only their agency offers.
If that is your situation, platforms built for that motion—GenPicked, Scrunch, Peec with caveats on pricing—will fit. If you are still validating whether AEO works, start with Otterly or a free trial and come back when you have two clients showing traction.
Start a free trial with your top-two choices. Load three real client brands. Set up 10 queries each. Check the reports. The platform that feels less administrative overhead while showing better per-brand data is the one that fits your agency.
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