# AthenaHQ: Measuring and acting on AI-search visibility

Canonical: https://mudpie.ai/companies/athenahq/
Breadcrumb: [Home](https://mudpie.ai/) / [Companies](https://mudpie.ai/companies/) / [AthenaHQ: Measuring and acting on AI-search visibility](https://mudpie.ai/companies/athenahq/)
Author: Ali Abouelatta (https://mudpie.ai/authors/ali-abouelatta/)
Published: 2026-09-19
Updated: 2026-09-19
Research type: Company profile
Method: Company and accelerator sources checked 2026-09-19. Product claims are attributed to their sources; this is research, not a hands-on product trial.

AthenaHQ is a measurement and action platform for brands trying to appear in AI-generated search answers. It fits a marketing team that already has content, a defined category and a reason to track whether ChatGPT, Perplexity, Gemini and other engines cite or recommend it.

## What it does

[AthenaHQ’s current homepage](https://athenahq.ai/) describes a command center for AI visibility tracking across 11-plus models, citation-source analysis, competitor monitoring, content recommendations and on-page and off-page actions. The product has separate surfaces for a GEO/AEO manager, an executive dashboard, content strategy and PR monitoring. [The YC profile](https://www.ycombinator.com/companies/athenahq) frames the same workflow as measuring what AI engines cite and recommend, then helping the team improve its presence.

The useful decision is not whether a brand can buy “AI SEO.” It is whether the team has a repeatable set of category questions, sources it wants to earn citations from and an owner who can act on the findings. A visibility dashboard without a content or product response loop is just a new rank report.

Pricing is public. [The plans page](https://athenahq.ai/plans) shows an Essential option with $25 in free credit, Starter at $295 per month with 3,600 credits and paid API/additional-credit add-ons, and Enterprise custom. The page also repeats a $300/month free-credit label near Starter, so a buyer should confirm the actual subscription and credit economics. Enterprise adds options such as SSO, audit logs, multi-region support and executive BI integrations.

AthenaHQ publishes customer case-study claims including share-of-voice lifts, AI-driven lead growth and higher citation coverage. Those are vendor-selected outcomes, not independent measurements. The founder context is relevant: the YC record describes Andrew Yan’s product work on Google Search and DeepMind’s generative-media team, and Alan Yao’s early AI and consumer-product experience.

## What could make it the wrong choice

AI answers change with query wording, location, source selection and model updates. The buyer should define a stable prompt set, separate mention from qualified recommendation and verify whether a cited source actually sends useful demand. The platform can show a visibility problem; it cannot make weak positioning or an untrusted product compelling by itself.

## Editorial take

I would shortlist AthenaHQ for a company that already invests in content and wants a concrete AI-discovery operating loop. I would not buy it as a substitute for product-market fit or ordinary search fundamentals. Start with one category, one competitor set and one decision the marketing team can change this month.

## Quick facts

| Field | Sourced detail |
| --- | --- |
| Product | AI-search visibility tracking, citation analysis and content actions |
| Buyers | Marketing, SEO, content, PR and enterprise growth teams |
| Public pricing | Essential free credit; Starter $295/month with 3,600 credits; Enterprise custom |
| Public outcomes | Case-study visibility and lead claims, company-reported |
| Main gate | Stable query set, source quality, action ownership and credit economics |

## Sources checked

| Source | Checked |
| --- | --- |
| [YC profile](https://www.ycombinator.com/companies/athenahq) | 2026-09-19 |
| [AthenaHQ homepage](https://athenahq.ai/) | 2026-09-19 |
| [AthenaHQ pricing](https://athenahq.ai/plans) | 2026-09-19 |
| [AthenaHQ launch](https://www.ycombinator.com/launches/MnK-athenahq-get-your-brand-discovered-on-chatgpt) | 2026-09-19 |

## Cohort context

AthenaHQ is listed in Winter 2025. In our 2026-09-18 directory snapshot, 104 of 165 listed companies in that cohort have YC’s primary industry label B2B (63.0%). This is a current-directory comparison, not an original intake count or a performance ranking. [Nine-cohort dataset](https://mudpie.ai/research/yc-cohorts-2026-09-19.json).

## Public website snapshot

Observed 2026-09-19T16:19:24.006Z in raw homepage HTML. This records visible metadata and advertised links, not agent execution or product quality.

| Signal | Homepage observation |
| --- | --- |
| Product description metadata | Observed |
| Canonical link | Observed |
| H1 or H2 heading | Observed |
| Typed structured data | Not observed in this response |
| Docs/developer link | Not observed in this response |
| Pricing link | Observed |
| llms.txt link | Not observed in this response |
| Markdown alternate | Not observed in this response |

[Public observations](https://mudpie.ai/research/yc-homepage-links-2026-09-19.json) · [Collection method](https://mudpie.ai/research/yc-homepage-methods/README.md). Missing links here do not establish that a capability or file is absent elsewhere.


## Author disclosure

I cofound Lazyweb and publish Mudpie. This is an owner-written publication, not an independent testing organization. Research notes distinguish observations, sourced reporting and editorial judgment.