Otterly vs AthenaHQ vs GenPicked: The AEO Tool Comparison for Sub-$200/Month Agency Budgets

You manage twelve client brands. Your platform-tooling budget is two hundred dollars a month. Three vendors are emailing you this week pitching their AEO platform: Otterly, AthenaHQ, GenPicked. The pricing pages disagree. The feature lists disagree. The case studies are mostly invented. And the prospect on Friday's discovery call is going to ask which one you use.

This is the comparison I wish someone had handed me when I was making the same call. No vendor marketing, no fabricated outcomes, only public pricing pages and verified product facts. The conclusion is unflattering to all three of us in different ways, which is what makes it useful.

The market context is the only thing nobody disputes. 94% of B2B buyers now use large language models during their buying journey per the 6sense 2025 Buyer Experience Report. 77% of brands are completely invisible in AI platform answers per Loamly's 2026 benchmark of 2,089 brands. The visible 23% convert AI-sourced traffic at three times the rate of Google Search. Your client-side urgency is real. The agency-side question is what to spend your $200/month on.

The first thing to settle: why $200/month is the right ceiling to argue about. Per Conductor's State of AEO/GEO 2026 report, enterprise CMOs allocate roughly 12% of digital marketing budget to AEO/GEO on average, 15%+ for competitive leaders. For a small or mid-size agency that runs five to twenty client brands at $30K-$120K MRR, that means platform tooling sits in the $100-$400/month bracket. Anything north of $200 forces a billing change. Anything south is the comfort zone where you can keep an AEO line item without renegotiating retainers.

The three contenders, by the actual pricing page

I am skipping vendor narratives. Here are the published prices, the engines each tool tracks, and the agency-relevant features. Sources for every line are linked.

Otterly.ai — bootstrap-priced, agency white-label-ready

Otterly is the cheapest of the three to start. The Lite plan is $29/month for 15 search prompts. Standard is $189/month for 100 search prompts plus white-label client workspaces and a Looker Studio connector. Premium is $489/month with 400 prompts and pitch workspaces. There is a 14-day free trial on the entry tier.

Engine coverage per Otterly's own help docs: ChatGPT Search, Perplexity, Gemini, Google AI Overviews, and Microsoft Copilot. Claude is not on the default coverage list. Additional Gemini modules cost $59 (Standard) or $149 (Premium). Adding 100 search prompts costs $99.

Trust signals are real but small. Otterly was named a Gartner Cool Vendor for AI in Marketing 2025, one of only five vendors named. They reported $770K revenue in October 2025 with a 7-person team and are bootstrapped, no venture capital. That last detail matters: Otterly is unlikely to disappear in a venture downturn but is also less likely to ship aggressive feature velocity.

The Otterly trap is the Lite plan. Fifteen search prompts is enough to monitor one client across three queries on five engines. Most agencies hit the ceiling on the second client and are forced to Standard at $189. Plan for $189, not $29.

AthenaHQ — YC-funded, enterprise-priced, broadest engine list

AthenaHQ is the most expensive of the three. The Starter plan is $295/month for three user seats and 3,600 credits, where one credit equals one AI response. There is a promotional first-month price of $95 that renews at $295. There is no free trial; agencies have to commit cash to evaluate.

Engine coverage is the broadest in this category. Per AthenaHQ's plans page, the platform tracks ChatGPT, Perplexity, AI Mode, Gemini, Claude, Google AI Overviews, Microsoft Copilot, and Grok — eight engines, with more available on request. Enterprise tier unlocks unlimited seats and role-based access control for multi-client isolation.

Funding pedigree is real. $2.7M total raised across two seed rounds (Feb 2025 $500K, June 2025 $2.2M) from Y Combinator and FCVC. Founders Andrew Yan and Alan Yao are former Google Search and DeepMind engineers. The platform pitches autonomous content agents that draft GEO-optimized content at scale.

Where AthenaHQ falls short for the sub-$200 agency: there is no entry below $295, and the public pricing page does not list white-label PDF reporting as a feature. White-label is the line item agencies actually need to defend $1,500-$3,000 retainers. AthenaHQ is built for an in-house enterprise marketing team with budget, not for agencies productizing AEO for ten clients.

GenPicked — agency-first, weighted scoring, autoblogger included

GenPicked is the platform we build, so this section is the most factual and least promotional. Pricing is published: Starter $97/month, Growth $197/month, Scale $397/month on the agency platform side. On top of that, each client brand carries a per-brand AEO tier — Lite $75/brand/month, Standard $149, Pro $299, Premium $525 — matched to query volume and competitor count.

Engine coverage is five: ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. The AEO Citation Score (ACS) uses weighted scoring rather than a flat average: ChatGPT 0.35, Perplexity 0.25, Gemini 0.25, Claude 0.15. The weights reflect traffic concentration — per Conductor's 2026 benchmark of 13,770 enterprise domains, ChatGPT drives 87.4% of all AI referral traffic, so weighting it equally with Claude (smaller traffic, higher brand-mention rate) misrepresents real visibility risk.

Agency-relevant features that are bundled rather than upsold: multi-brand dashboard with portfolio health, white-label PDF reports starting at the Growth tier, autoblogger that generates 50-150 word AEO-optimized chunks with FAQ schema, real-time alerts for citation gains and losses, and an API for custom reporting. The autoblogger is what unlocks margin — it lets a small agency productize content delivery rather than billing hours.

Side-by-side: the comparison your prospect actually wants

The matrix below is the version I would walk through on a prospect call, with every number traceable to a published source.

Why engine weighting is the underrated decision

The single technical detail most agencies skip is whether their AEO tool weights engines or treats them equally. It matters more than it looks.

If your tool gives you one number averaged across five engines, you cannot distinguish a brand that owns ChatGPT (drives 87.4% of AI referral traffic per Search Engine Land's analysis of Conductor data) from a brand that owns Claude (smallest traffic footprint of the major engines). The first situation is great. The second is academic. A flat-weighted score puts both at the same number.

This is why GenPicked's ACS uses ChatGPT 0.35 / Perplexity 0.25 / Gemini 0.25 / Claude 0.15 — the weights are a deliberate bet on traffic concentration. Otterly does not publish a weighting scheme. AthenaHQ does not publish one either. For most agency reporting that just shows "share of voice across engines," the math is hidden and you have to trust the dashboard. For an agency telling a client "your AEO score is 47 and here is what it means," weighted scoring is the difference between a defensible number and a polite fiction.

Reddit, YouTube, and the source-mix problem all three solve differently

None of the three tools fixes the underlying citation source problem on their own — the source mix changes by engine and the strategy follows.

Per the 5W AI Platform Citation Source Index 2026, which synthesized 680+ million individual citations across the five major engines, Reddit captures roughly 40% of all citations. That number is dominated by Perplexity, where Reddit's share runs even higher. For most B2B agencies, this means a Reddit comment strategy is non-negotiable for any client targeting Perplexity citations. Otterly, AthenaHQ, and GenPicked all surface this gap; only the autoblogger-equipped tools (AthenaHQ and GenPicked) can drive content to fill it without you.

The decision framework: which agency profile picks which tool

The honest version of this comparison is that each tool wins for a different agency profile, and choosing the wrong one is more expensive than the price difference.

Pick Otterly if you run two or three clients on white-label retainers, want the lowest entry price for an AEO line item, and do not need automated content generation. Standard at $189/month with white-label client workspaces and Looker Studio is the realistic plan. Free trial means you can validate before committing. Where it falls short: no autoblogger, so content delivery is still a manual labor line.

Pick AthenaHQ if you are an enterprise-leaning agency or in-house team with $295+/month already in budget, you need the broadest engine coverage including Grok and AI Mode, and you want autonomous content agents to draft GEO-optimized assets at scale. Where it falls short for sub-$200 agencies: there is no entry below $295, and white-label client reporting is not published as a public-tier feature. Build a short list with AthenaHQ if your budget is enterprise; skip it if you are productizing AEO for SMB clients.

Pick GenPicked if you manage three or more client brands, want weighted multi-engine scoring rather than flat averaging, need white-label reports starting at $197/month, and want autoblogger included rather than upsold. Where it falls short of AthenaHQ: GenPicked tracks five engines, not eight — we do not currently track Grok or AI Mode separately, and we explicitly chose not to until those engines have measurable referral-traffic share. Per Conductor's data, the five we track are where 99%+ of AI traffic actually comes from today.

What this comparison cannot tell you

I am not going to claim case study data we do not have. Per the Conductor State of AEO/GEO report, the entire category is barely two years old at scale. Most published "agency outcomes" you will see in vendor decks are illustrative, not measured. The honest version is that 2026 is the year agencies are running their first full retainer cycle on AEO and the case studies will be defensible in 12 months, not now. Build your stack on platform fit and reporting math, not on testimonial language.

Reporting math: turning the dashboard into a retainer-defending number

The single hardest part of agency-side AEO is not measurement, it is converting measurement into a number a CFO understands. Per Conductor's State of AEO/GEO 2026 report, 97% of CMOs reported positive AEO impact in 2025; the leaders who report the strongest results are also the ones whose monthly client reports include three lines a CFO can read in 30 seconds. ACS score and trend over 30 days. Share-of-voice change against the named top three competitors on the same query set. Citation count by source class (editorial, Reddit, YouTube, owned media) so the CMO can see where the visibility came from. None of the three platforms compared above publishes a single template that produces this report cleanly out of the box, which is why white-label PDF reporting (Otterly Standard, GenPicked Growth) is the feature line item agencies actually defend retainers on.