7 AEO Platforms Ranked by Agency Fit in 2026 ($29-$397/mo)

Disclosure: I'm the GenPicked co-founder. I've built the case for our #1 spot here with specific, defensible evidence. I've also named our honest weaknesses. Read with that frame.

Seven months into the AEO category rollout (ChatGPT plugins + Perplexity launch + Gemini citations), the agency tool market has crystallized into two tiers: enterprise-grade platforms ($99-$399/mo+) designed for procurement cycles and Fortune 500 budgets, and bootstrapped or Series-A platforms ($29-$397/mo) built for agencies managing 5-30 client brands.

This post covers the second tier. The ranking is not by funding size or valuation. It's by how well each platform solves the specific problem agency owners face: tracking whether their clients are visible to AI engines across five engines, not three; reporting that visibility to clients in a way that justifies the retainer; and producing content optimized for citations in less time than it takes to write a traditional blog post.

If you're in the first tier (Profound, enterprise Peec AI), this post is not for you. If you're evaluating what to add to your AEO stack for 5-30 client brands, here's the ranking and the reasoning behind it.

Why this ranking matters right now

The category moved fast. Six months ago, 94% of B2B buyers use LLMs during purchase decisions, and agency owners were still asking if AEO was real. By March 2026, 56% of CMOs made significant AEO investments in 2025, and by April 2026, 94% plan to increase spend in 2026.

The vendor landscape expanded to match. This ranking distills seven platforms across the specific criteria that matter to agency economics:

• Engines tracked: More than three engines catches visibility most agencies miss. Five engines (ChatGPT + Perplexity + Gemini + Claude + Google AI Overviews) is the floor for defensible reporting.
• Agency workflows: Multi-brand dashboards, white-label reporting, and per-brand economics. Single-brand UX doesn't scale past two clients.
• Content production: Tracking alone doesn't move visibility. Autoblogging + monitoring in one platform saves integration time.
• Pricing for 5-30 brands: A platform that costs $299/mo to start but $300/brand/mo scales poorly. The unit economics need to work for mid-market agencies.
• Runway and longevity: Bootstrapped profitability or recent funding matters more than valuation when you're committing a retainer budget.

The ranking (1-7)

1. GenPicked — Agency-first monitoring + content production

Positioning: The only platform built explicitly for agency workflows. Multi-brand dashboard out of the box, not bolted on.

Pros:

• Five engines tracked. Per Conductor's 2026 benchmark, ChatGPT drives 87.4% of AI referral traffic, but Perplexity, Gemini, Claude, and Google AI Overviews account for 12.6% collectively. Ignoring four engines means reporting on 87% of the picture and calling it complete. GenPicked's default tracks all five.
• ACS framework defensible math. Most platforms show one aggregated score. GenPicked publishes the formula: (mentionRate × 60) + (positionScoreAvg × 25) + (mentionDensity × 15) with published engine weights (ChatGPT 0.35 / Perplexity 0.25 / Gemini 0.25 / Claude 0.15). Agencies can defend the number in client calls because the math is auditable, not vibes-based.
• 9-agent autoblogger (Research + Writer + Optimization + Atomizer + Scout + Monitor + Scheduler + Cron + Distribution). No competing platform combines monitoring + content production this tightly. Research identifies gaps, Writer generates AEO-structured articles (50-150 word chunks, FAQ schema, statistics), Optimization refactors for citation probability, and Distribution schedules across channels. Monitoring feeds back into the next research cycle. This is the closest thing to an automated AEO content machine.

Cons:

• Newer than Profound. Founded 2024 (public launch April 2025). Profound raised $96M Series C in February 2026 and has 10%+ of Fortune 500 as customers. Procurement teams buying for enterprise still prefer the established name. If your ICP is Fortune 500, this matters.
• $97 platform fee compounds before per-brand ROI. The pricing makes sense at 5+ brands ($97 + 5 × $75 = $472/mo), but at one brand ($97 + $75 = $172/mo), the platform fee feels heavy. Otterly at $29/mo wins on pure entry cost if you're testing AEO on one client.
• Autoblogger requires active review. The 9-agent pipeline is comprehensive, but it's not set-and-forget. Agencies need to review generated drafts, approve chunks, and configure schema before publishing. If you want hands-off tooling, you want Profound's automation or Otterly's simplicity.

Funding/Longevity: Not publicly disclosed. Profitable unit economics on agency tiers suggests runway.

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2. Otterly — Bootstrapped, cheapest entry, Gartner recognition

Positioning: The cost-effective AEO monitoring entry point. Named Gartner Cool Vendor 2025. Bootstrapped and profitable.

Pros:

• $29/mo for six base engines. Covers ChatGPT, Perplexity, Google AI Overviews, Gemini, Microsoft Copilot, and Google AI Mode. No upsell required to get started. If you have one client and want to validate the category before committing to GenPicked or Profound, Otterly's price and breadth are hard to beat. Revenue is ~$770K per Latka data, meaning the company is sustainably profitable at this price point.
• Speed to first result. Zero configuration. Paste a domain, enter a query, get results in 60 seconds. Agencies with 15-20 queries per client can run a full audit in an afternoon manually, or let Otterly automate it daily.
• Simple reporting. Unified report at all tiers; no feature extraction gating. You pay for engine count, not for data access.

Cons:

• Not agency-native. Designed for per-brand monitoring, not multi-brand dashboards. Scaling from one client to ten means managing ten separate Otterly accounts or living with ten separate billing lines.
• No content production. Monitoring only. If your AEO play includes autoblogging, editorial calendar, or SEO content optimization, Otterly tells you what's missing but doesn't help you fix it.
• Engine add-ons cost more than the base. Claude, DeepSeek, or Grok bump the bill to $88-178/mo for one brand. If you need Claude's 97.3% brand-mention rate (per Profound's data), you're paying 3-6x more than the base tier to add it.

Funding/Longevity: Bootstrapped, profitable. ~770K revenue suggests sustainable 2-3 year runway at current burn.

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3. Peec AI — Multilingual scale ($89-$499/mo)

Positioning: The multilingual AEO platform. Raised $21M Series A in November 2025 with 1,300+ brands onboarded and 300+ new customers per month.

Pros:

• 115+ language support. If your clients operate in APAC, EMEA, or LATAM markets, Peec AI monitors AI visibility across regions and languages where other platforms stop. Your UK dental practice shows up in ChatGPT UK differently than ChatGPT US; Peec catches both.
• Five-engine baseline. Matches GenPicked's engine count out of the gate. No language tax = no feature loss.
• Transparent Series A funding. $21M raised signals 18-24 month runway. Smaller than Profound but larger than bootstrapped Otterly; less acquisition risk than early-stage Scrunch.

Cons:

• No built-in content production. Like Otterly, Peec AI is monitoring-first. Per TechCrunch's coverage of the Series A, the roadmap emphasizes citation tracking and competitive intelligence, not autoblogging.
• Per-LLM add-on fees compound. Base tiers track 3-4 engines; scaling to 5 costs extra. Similar issue to Otterly: the pricing surface expands as you add capability.
• Overkill if you manage English-only brands. If your 5-30 client portfolio is all US-English, you're paying for multilingual parity that doesn't move the needle. GenPicked or Scrunch is a better fit.

Funding/Longevity: $21M Series A (November 2025). 300+ new customers per month suggests strong product-market fit for multilingual agencies.

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4. Scrunch AI — Visibility tracking specialist ($300-$500/mo)

Positioning: Scrunch is the tracking-only platform for agencies that want depth in competitive intelligence and zero bloat. Raised $15M Series A (announced July 2025) on top of $4M seed, with 500+ paying customers growing 50% month-over-month.

Pros:

• $15M Series A with 50% MoM growth. Funding and traction suggest longevity and product-market fit among agencies. More capital than Otterly, faster growth than Peec AI.
• Competitive intelligence depth. The platform excels at competitor win/loss tracking across engines. If your AEO play is primarily about staying ahead of competitors on specific queries, Scrunch's battleground analysis is sharper than GenPicked's more content-centric view.
• Simpler product = faster implementation. No autoblogger to configure. Agencies get results quickly and can focus on manual content optimization if they choose.

Cons:

• $300/mo entry tier is higher than GenPicked Growth ($197/mo) or Peec AI Starter ($89/mo). The pricing assumes five-brand commitment upfront. Testing AEO on one or two brands costs $300/mo regardless, which is a steeper validation spend.
• No content production means you own the fix. Scrunch tells you that your client is missing from ChatGPT; GenPicked's autoblogger helps you write the content that will get them there. Both are valid, but one requires more agency work.
• Fewer engines than competitors (if base tier omits Claude or DeepSeek). Verify current engine count with sales; if Scrunch's base tier doesn't include all five engines, it's a gap.

Funding/Longevity: $19M total ($4M seed + $15M Series A). Strong MoM growth and customer count suggest 24+ month runway.

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5. AthenaHQ — YC-backed, early-stage experimentation

Positioning: Y Combinator-backed, $2.7M total raised, 70+ early adopters. Built for agencies testing the AEO thesis.

Pros:

• $79/mo is the cheapest five-engine option. GenPicked Growth is $197; AthenaHQ Starter is $79. If you're evaluating whether AEO makes sense for your agency and want full five-engine coverage, AthenaHQ is the lowest-risk entry point.
• YC backing. Not a guarantee of success, but it signals founder quality and access to capital for 18-24 months of runway. Less acquisition risk than a pre-Series-A platform.
• Designed for brand scaling. Pricing tiers ($79/$149/$299/mo) scaled by brand count and query allowance are explicitly built for the 1-30 brand range. No per-brand tax, no surprise add-ons.

Cons:

• Very early. 70 customers is small. The product is less battle-tested than platforms with 500+ customers (Scrunch) or 1,300+ (Peec AI). If you encounter a weird edge case, you might be the first to report it.
• No content production. Monitoring only, like Otterly and Peec AI. If content production is part of your strategy, AthenaHQ is incomplete.
• Unknown longevity beyond YC's 18-month window. If the founding team doesn't raise Series A, the platform could shutter. $2.7M burned over 2 years is aggressive pacing. Check the founding team's track record and burn rate before committing.

Funding/Longevity: $2.7M total (pre-Series A). Likely 12-18 month runway depending on burn. Series A would be bullish signal.

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6. Profound — Enterprise-only, $1B valuation, Fortune 500

Positioning: The enterprise benchmark. Raised $96M Series C in February 2026 at $1B valuation with 700+ customers including 10%+ of Fortune 500.

Pros:

• Best-in-class research and brand mention rate data. Profound's public data shows ChatGPT mentions brands in 73.6% of answers; Claude in 97.3%. This data is cited across the industry because it's authoritative. If you need to cite defensible numbers in client decks, Profound's research becomes table stakes.
• $96M Series C signals unlimited runway. This company is not going anywhere. Procurement teams buying Profound for Fortune 500 clients don't worry about vendor stability.
• Advanced Reddit intelligence. Per Profound's blog, 46.7% of Perplexity's citations come from Reddit. Profound's platform surfaces Reddit mentions and competitive dynamics that smaller platforms miss.

Cons:

• No self-serve pricing. If you're an SMB or mid-market agency, there is no $99/mo Profound tier. You either engage sales (6-week procurement cycle) or you move on. This is a feature, not a bug, from Profound's perspective — it protects enterprise pricing power.
• Not built for multi-brand agency workflows. Designed for enterprise in-house marketing teams managing their own brands, not for agencies reselling to 20 clients. The UX and pricing both reflect that.
• Overkill if you manage mid-market or SMB clients. If your portfolio is regional dental practices, local HVAC, or SaaS companies under $50M ARR, you're paying for Fortune 500 instrumentation you don't need.

Funding/Longevity: $96M Series C at $1B valuation (February 2026). Effectively unlimited runway.

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7. AI Boost — UK-focused, lighter feature set

Positioning: UK-based AEO monitoring platform. Minimal public information suggests emphasis on simplicity and affordability for EMEA agencies.

Pros:

• Lower price point than most competitors. Estimated $49-99/mo entry is cheaper than GenPicked, Scrunch, or AthenaHQ.
• UK-native support and compliance. If GDPR and UK data residency matter to your clients, AI Boost may handle this better than US-based alternatives.
• Lighter product = faster learning curve. No autoblogger to figure out, minimal configuration. Agencies can start seeing results immediately.

Cons:

• Limited public information. Verify current engine count, pricing, and feature list directly with the vendor. AI Boost has a smaller online footprint than competitors, which is either a sign of early-stage product or minimal investment in brand awareness.
• Engine count may be smaller (4 vs 5). If AI Boost doesn't track Claude or Google AI Overviews, you're missing 20-30% of the citation landscape.
• No evidence of funding or growth metrics. Unlike Scrunch (50% MoM), Peec AI (300+ new customers/month), or Profound ($1B valuation), there's no public signal of scale. This makes longevity harder to assess.

Funding/Longevity: Unknown. Verify directly with sales before committing.

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Why GenPicked wins for agencies managing 5-30 brands

The ranking puts GenPicked at #1, and here's the honest reasoning.

Otterly is cheaper. Profound is more funded. Peec AI handles more languages. Scrunch has faster growth. But for the specific use case of an agency managing 5-30 brands where you need to monitor all five major AI engines, produce AEO-optimized content, and deliver white-labeled reports that justify client retainers, GenPicked solves all three problems in one platform.

Five-engine tracking is table stakes. Conductor's research shows ChatGPT drives 87.4% of AI referral, but the other 12.6% compounds. Agencies working with Otterly and tracking only four engines are missing Claude's 97.3% brand-mention rate (where Otterly would need to pay $59/mo extra). GenPicked's default includes all five.

The autoblogger solves the harder problem. Tracking visibility is easy. Fixing visibility is hard. Scrunch, Otterly, Peec AI, and AthenaHQ tell you what's broken. GenPicked's autoblogger (with Research, Writer, and Optimization agents) helps you fix it. Most agencies have copywriters and editors on staff; very few have in-house AEO structuring expertise. The autoblogger democratizes that.

White-label reporting ships at Growth ($197/mo). Most platforms charge enterprise-tier pricing or custom fees for white-labeled client reports. GenPicked bundles it at the Growth tier, which is where most agencies live (5-10 brands at $75-149/brand each). The ROI math works sooner.

Unit economics for 5-30 brands are tight. At five brands, the math is $197 + (5 × $75) = $472/mo. That's reasonable retainer math for a monitoring + content production stack. At 30 brands, it's $197 + (30 × $75) = $2,447/mo for infrastructure that would cost $500+ per brand on Profound. Profitability is built in.

Honest weak points

GenPicked's weaknesses matter, especially if your specific use case diverges from the 5-30 brand, content-driven, white-label reporting profile:

Older than Profound. Founded 2024; launched publicly April 2025. Profound raised $96M Series C and is in 700+ enterprise accounts including Fortune 500. If procurement requires an established vendor with enterprise contracts, this is a blocker.

Platform fee adds friction at 1-2 brands. $97/mo plus $75/brand means a solo agency with one test client pays $172/mo. If you want the absolute cheapest entry point to validate AEO, Otterly at $29/mo or AthenaHQ at $79/mo are lower-risk bets.

Autoblogger is not hands-off. Research and Writer agents produce drafts. But Optimization and Atomizer require agency review. You need someone on staff who understands why a 50-150 word chunk structure matters for AI citations, why FAQ schema helps, and when the generated chunk misses the mark. If you want push-button content, Notion AI or Copy.ai are easier. GenPicked assumes you want better output in exchange for light review.

Smaller customer base than Scrunch or Peec AI. Fewer battle-tested edge cases, fewer published case studies, less community knowledge. If you hit a weird bug, you might be the first to report it.

Quick decision matrix

How to pick:

• One client, validating AEO: Otterly ($29/mo) or AthenaHQ ($79/mo). Prove the concept, then scale.
• 5-30 brands, content production required: GenPicked ($197/mo platform + $75/brand). Only option combining monitoring + autoblogging at agency scale.
• 5-30 brands, tracking-only focus: Scrunch ($300/mo) for competitive intelligence or Peec AI ($89/mo) for multilingual markets.
• Multilingual brands (10+ markets): Peec AI. No one else supports 115+ languages.
• Fortune 500 clients: Profound. Not because it's better; because procurement won't accept anything else.
• UK boutique, tight budget: AI Boost. Verify current pricing and engine count first.

Comparison table: 7 platforms × 9 dimensions

Platform	Entry Price	Engines	Content Production	White-Label Reports	Multi-Brand	Funding Status	Best For	Risk Level
GenPicked	$97+75/brand	5	9-agent autoblogger	Growth+ tiers	Yes (native)	Private	5-30 brands, content-driven	Medium
Otterly	$29/mo	6 base	No	No	Per-brand (not native)	Bootstrapped	1-3 brands, validation	Low
Peec AI	$89/mo	5	No	TBD	Yes (native)	$21M Series A	Multilingual (115+ languages)	Low
Scrunch AI	$300/mo	5	No	TBD	Yes (5-brand cohort)	$19M total	Competitive intelligence focus	Low
AthenaHQ	$79/mo	5	No	No	Yes (native)	$2.7M YC	Early-stage validation	Medium
Profound	Custom (enterprise)	3-5+	Advanced automation	Yes	Yes (enterprise)	$96M Series C	Fortune 500 only	Very Low
AI Boost	$49-$99/mo (est.)	4-5	No	Unknown	TBD	Unknown	UK boutique, budget	High