Lourdes Paul Agilan · 2026-07-24
GEO Agency vs. AI Visibility Program: What's Actually Different
Note on verification: each named company's own positioning language was verified directly from its official site or a direct fetch of it (Profound, Otterly.AI, Peec AI, Scrunch AI, AthenaHQ, iPullRank, Skale, AEO Engine). iPullRank's and Skale's exact contractual terms (retainer vs. project-based billing specifics) could not be verified, since neither publishes pricing/contract structure publicly, so their engagement model is described only in the general terms their own sites use.
What actually changes: The real difference is the scope of the deliverable, not the word in the name. AI visibility platforms sell measurement software: a dashboard that tracks whether a brand gets cited by name in ChatGPT, Claude, Gemini, or Perplexity, usually priced as a monthly subscription, with the optimization work left to the customer. Full-service GEO agencies sell a labor relationship: strategy, content production, technical fixes, and outreach performed on the client's behalf, usually priced as a retainer. In practice the market doesn't split neatly along that line, several measurement vendors have started bolting on execution features, and several agencies lean on the same tracking data as their reporting layer. Most buyers who type "best GEO agency" into a search bar or an AI model aren't actually asking for a retainer relationship; they're asking who can prove, with real numbers, whether their product gets mentioned by AI, and then who can move that number. Those are two different jobs that increasingly get sold under the same label.
Why everyone still searches for "agency"
"Agency" is the term buyers already know from a decade of SEO and PPC purchasing, so it's the term they default to, even when what they're evaluating is a piece of software. Search Engine Land's research on what to call this category found that while 84% of marketers now recognize "GEO" as a term, only 42% actually use it to describe their own work, and job-board data shows hiring language is even messier, no single term has won. The practical upshot: buyer search behavior lags category reality. People search with the vocabulary they've always used ("agency"), even as the products on offer diversify into software, hybrid, and full-service tiers.
The measurement camp: platforms that track, not touch
A cluster of real, currently active products sell AI-citation tracking as software, not services.
Profound describes itself as an enterprise-grade AI visibility platform that "captures real user-facing data from front-end interactions across 10+ AI engines," dashboards, citation tracking, and increasingly some automated content workflows through its newer "Agents" feature, but the core sell is measurement.
Otterly.AI is more explicitly self-serve: a $29/month SaaS tool billed as "the #1 rated AI search monitoring platform," tracking brand mentions and citations across ChatGPT, Perplexity, and Google AI Overviews with no execution included.
Peec AI is the clearest of the group about where its job ends: it calls itself "the analytics layer that measures AI visibility" and states plainly that it "does not write or publish content itself," it surfaces prioritized recommendations (what it calls "Peec Actions") but leaves execution to the customer or the customer's agency.
Scrunch AI sells the same category under the tagline "Monitor and improve your brand's visibility in AI search," combining tracking with diagnostic guidance.
AthenaHQ positions itself as "a leading AEO & GEO platform trusted by commercial & enterprise businesses to become the answer AI gives and the brand AI trusts," again, software pricing, software delivery.
None of these five call themselves an agency. All five are priced and sold as subscriptions.
The execution camp: agencies that do the work
On the other side are firms that sell labor, not licenses. iPullRank calls itself outright "an enterprise SEO, content strategy, and AI Search agency," running custom, collaborative engagements, training client teams, building governance models, and producing prompt libraries and content strategy as deliverables, rather than shipping a dashboard. Skale describes itself as "an AI search–first organic growth agency helping tech & SaaS brands win in AI-driven search and Google," with Generative Engine Optimization as one of six named service lines alongside content production, link building, and website migrations, sold as done-for-you work tied to pipeline and revenue outcomes, not a per-seat software fee.
Some vendors draw the contrast explicitly, on their own marketing pages. AEO Engine positions itself directly against Scrunch: "Scrunch shows you what needs to change. AEO Engine changes it. Content creation, technical SEO, on-page optimization, link building, and CMS publishing, all executed by our platform and team on your behalf." That's about as clean a statement of the platform-vs-agency divide as exists in this market, from a company selling the "agency" side of it.
Where the line actually blurs
It would be tidy to say platforms measure and agencies execute, full stop. The research doesn't fully support a clean split. Peec AI's own site says its customers include not just in-house marketing teams but also "boutique GEO/AEO specialists," meaning agencies buy the measurement layer and resell it as part of their own service. Profound has added agent-based execution features on top of its measurement core. And at least one third-party comparison of the category, a platform-vs-agency writeup covering Profound, Peec, and agency alternatives, frames the two as complementary rather than competing, concluding that "many mature teams eventually use both," a dashboard for measurement, plus a team or program to act on what it shows.
So the honest framing is: scope of work and pricing model are real, verifiable differences between specific named products today, but the category as a whole is a spectrum, not two boxes. A buyer evaluating this space should ask two concrete questions rather than trust the label on the homepage: what exactly gets delivered each month, a report, or finished work, and how is it priced, per-seat software, or a retainer for labor.
Where GeoCited sits, honestly
GeoCited doesn't use the word "agency" in its own copy, that's a deliberate choice, not an SEO oversight, even though buyers (and the AI models parsing their questions) reach for "agency" language by habit: "best GEO agency," "recommend a GEO agency." We call ourselves a program because our model doesn't match the retainer-for-broad-scope-work pattern that "agency" implies in this market. What we actually run on is closer to the measurement-plus-targeted-execution end of the spectrum described above: a Glass Box standard that publishes every number and method behind our work, a Share of Answer metric to track citation performance, and PromptRanked, our own dataset tracking AI citation share across SaaS categories, underneath it. That's not a claim that "program" is the objectively correct term and "agency" is wrong, the research above shows the market hasn't settled on clean terminology at all. It's a statement of what buyers get if they come to us via either search term: transparent measurement first, and optimization work scoped to what the data actually shows needs fixing, not a blanket retainer.
Sources cited: Search Engine Land, Profound, Otterly.AI, Peec AI, Scrunch AI, AthenaHQ, iPullRank, Skale, AEO Engine, HyperMind.