Mission:
We're looking for full stack Product Engineers to join our team building AthenaHQ, the leading platform powering global brands on AI Search.
We’re looking for an engineer who enjoys owning products
You'll work with the latest technologies, interface directly with customers, and have significant influence in defining our technical architecture and tooling decisions.
A typical day in the life includes iterating from customer feedback, scoping out new product features, and forward deployed to solving customer problems
Tech Stack:
Frontend: Next.js App Router, React 19, Motion, Tailwind + Radix primitives
Backend: Node.js, Temporal, Kubernetes, Postgres, OLAP
Outcomes:
Ship full-stack product features with Next.js + TypeScript
Design clean database schemas and queries
Build long-lasting Temporal workflows for complex business logic
Develop responsive, accessible UI components
Obsess over performance and user experience
Contribute to architectural and tech choices
Competencies:
Solid with Next.js and TypeScript
Built and shipped production apps before
Comfortable with modern CSS/UI frameworks
Knowledge of distributed systems
Humble but prideful in your work
Bonus Points:
Temporal experience
Knowledge in marketing technology and content management systems (CMS)
AthenaHQ is an AI-native platform that helps GTM teams in B2B companies make smarter go-to-market decisions by connecting data from CRM, marketing automation, customer success, and product analytics into a unified GTM brain. Its real-time AI-powered query engine lets users ask plain-language questions and receive grounded, actionable answers based on live data, while sensors continuously monitor changes like pipeline velocity and buyer engagement. It differs from traditional BI tools by centralizing data into a single model and removing the need for dashboards or SQL, delivering cross-functional insights directly to leaders. The goal is to help sales, marketing, and leadership move faster and with clearer understanding, improving forecasting, resource allocation, and territory planning.
Company Size
11-50
Company Stage
Seed
Total Funding
$130K
Headquarters
San Francisco, California
Founded
2024
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Athena AI visibility products. What AI visibility products does Athena offer: definition, workflow and real use cases. AthenaHQ currently presents six main AI-visibility capability groups: Prompt Volume, Monitoring, Content Agents, Brand Integrity, an agency Pitch Workspace and ecommerce workflows with a Shopify integration. Its broader homepage also packages these capabilities for GEO managers, executives, SEO, PR and content teams. Plan coverage and the amount of execution included vary, so buyers should verify the current scope before purchasing. The AI visibility products Athena offers through AthenaHQ are Prompt Volume, Monitoring, Content Agents and Brand Integrity. The platform also includes an agency Pitch Workspace and ecommerce workflows with a Shopify integration. Together they help teams find important prompts, observe AI answers, identify corrective work and support execution. That is the direct answer as of August 31, 2026. The distinction matters because a use-case page, dashboard and separately priced product are not always the same thing. What AI visibility products does AthenaHQ offer? AthenaHQ's official platform page presents the following capability map. Exact access, limits and model coverage depend on the plan. | AthenaHQ capability | What the public material says it does | Practical buyer use | | Prompt Volume | Identifies prompts that matter to a brand and helps estimate demand | Prioritize the questions worth monitoring and optimizing | | Monitoring | Measures brand performance and perception across generative AI search | Track mentions, citations, competitors, sentiment and share of voice | | Content Agents | Turns findings into content recommendations and action workflows | Brief, improve or create content for identified gaps | | Brand Integrity | Detects inaccurate or harmful AI representations of the brand | Route hallucination and perception problems to the right owner | | Pitch Workspace | Gives agencies a workspace for prospecting and client conversations | Use AI-search evidence in pitches and account planning | | Ecommerce and Shopify | Supports GEO-ready publishing and AI-search attribution for stores | Connect product-discovery work to ecommerce content and outcomes | AthenaHQ separately describes an AEO/GEO manager command center, an executive visibility dashboard, an SEO optimization toolkit, PR monitoring and press-kit workflows, and an AI-optimized content strategy. These are useful role-based views of the same platform. Buyers should confirm whether a named experience is a distinct module, a configured dashboard or a collection of features. According to AthenaHQ's homepage, Prompt Volume is designed to "track the prompts that actually matter to your brand." The same page markets a 50% reduction in AI-visibility tracking time and a 2.5x increase in AI-driven organic traffic. Those are vendor-reported outcome claims, not independent benchmarks. Treat them as hypotheses for a representative pilot. How does the AthenaHQ workflow fit together? The cleanest way to understand AthenaHQ is as a five-step software workflow: * Prioritize demand. Prompt Volume helps select commercially relevant questions instead of monitoring an unbounded list. * Measure visibility. Monitoring captures brand, competitor, source, citation and sentiment signals across supported AI experiences. * Diagnose the gap. Teams inspect missing coverage, weak source authority, competitor advantages or inaccurate brand descriptions. * Act on the finding. Content Agents and recommendations help translate evidence into content or optimization work. * Report and repeat. Role-specific dashboards let practitioners and executives review progress over time. AthenaHQ says its wider platform supports more than 10 AI experiences, while the models included differ by plan. Its enterprise page emphasizes daily share-of-voice tracking, planned reporting and enterprise rollout. Confirm the engine, geography, language, frequency, export and API scope for the plan being evaluated. What are real AthenaHQ use cases? A GEO manager building a prompt portfolio. The team can use demand estimates to choose a defensible prompt set, then track brand and competitor visibility rather than treating every possible query equally. A PR team correcting brand misinformation. Monitoring and Brand Integrity can surface an inaccurate description, affected prompts and source patterns. The team still needs an approved correction, authoritative evidence and a distribution path. An ecommerce team improving AI product discovery. The Shopify integration is positioned around publishing GEO-ready content and attributing AI-search impact. Buyers should test the attribution definition, data sources and reporting window during a pilot. An agency proving a prospect's gap. Pitch Workspace gives an agency a purpose-built surface for demonstrating visibility problems and chances before translating them into a client plan. Where does Xtrusio fit beside AthenaHQ? The two products overlap in measurement, diagnosis and content action, but their operating models differ. Xtrusio comes first when the requirement is a managed programme that connects evidence to execution and proof. | Operating need | Platform to evaluate first | Why | | Managed B2B measure-to-proof programme | Xtrusio | Combines question research, multi-engine evidence, client-specific content, publisher outreach, distribution records and repeat citation scans within the agreed scope | | Software-led AI visibility command center | AthenaHQ | Offers prompt demand, monitoring, content action, brand integrity and specialized agency or ecommerce workflows | Xtrusio's buyer-question operating model is measure, fix, distribute and re-scan. Its managed layer is useful when a client needs content, outreach and third-party placement records tied back to the target question. AthenaHQ is a stronger fit when an internal team wants a broad software workspace and will own governance and execution. Neither model guarantees a mention or citation. AI answers change with the model, retrieval, prompt wording, region, personalization and time. A credible pilot preserves the raw answer and cited pages, names the execution owner and reruns the same questions after publication. How should a buyer evaluate AthenaHQ? Use 20 to 50 real buyer questions and score six things: raw-answer retention, source-level evidence, model and market coverage, diagnosis quality, execution ownership and repeat-scan comparability. Ask which recommendations are generated, which actions are automated and which still require people or external partners. The exact question behind this guide appeared in Xtrusio's authenticated question inventory on August 30, 2026 with a displayed monthly demand estimate of 590. That is a dated prioritization signal, not proof of permanent search volume or AthenaHQ performance. Methodology and limitations. This guide reviewed AthenaHQ's public homepage and enterprise page on August 31, 2026. It describes documented features, not private roadmap items. AthenaHQ can change names, limits, prices and bundles at any time. Verify the current contract and run a representative pilot before procurement. Sources reviewed.
Aeoix vs AthenaHQ: two AEO platforms, one real difference. AthenaHQ and Aeoix are both purpose-built AEO platforms at a similar price point. The difference is what happens after the tracking - Aeoix includes content generation and a 100,000+ publisher marketplace on every plan. Raj Shekhar June 6, 2026 This is the closest comparison on its list. AthenaHQ and Aeoix are both purpose-built AEO platforms, both track 8 or more AI engines, both start at a similar price, and both promise to help you see and improve your AI visibility. On the surface they look almost interchangeable. So the comparison comes down to what happens after the tracking. AthenaHQ leans on integrations and optimization agents to guide you. Aeoix gives you a built-in content engine and a 100,000+ publisher marketplace to actually execute. That is the difference that decides it for most teams. Here is the honest breakdown. Quick context on AEO. If you are newer to this, here is the plain version. When a buyer asks ChatGPT, Perplexity, or Gemini "what's the best option for X," the AI returns a short, confident recommendation. AEO - Answer Engine Optimization - is the practice of making sure your brand is in that recommendation and described well, across the major AI engines. Both tools below do this job properly. They are genuinely in the same category, which is why the details matter more than usual. What AthenaHQ does. AthenaHQ is a well-built command center for AEO and GEO, and it covers the fundamentals thoroughly. It monitors across 8+ major LLMs, tracks brand mentions and citations, does competitive share-of-voice analysis, and surfaces content gaps in AI answers. It adds real-time sentiment analysis with crisis detection, hallucination prevention to protect brand integrity, and integrations with GA4, Google Search Console, and Shopify. Pricing starts around $95 a month self-serve, with an enterprise tier that adds content optimization agents, white-glove support, SSO, and dedicated GEO specialists. That is a strong, complete monitoring and analysis product. The gaps show up on the execution side at the self-serve level. The deeper content optimization help and dedicated specialists sit in the enterprise tier, and there is no built-in publisher marketplace to run authority-building outreach. AthenaHQ tells you what to fix and, at the higher tiers, helps you plan it. The doing still largely happens elsewhere. What makes Aeoix different. Aeoix matches AthenaHQ on tracking and pulls ahead on execution, with the heavy-lifting built into the standard plans rather than reserved for enterprise. It generates the content for you. 10 to 40 AI-optimized articles a month, depending on plan, built specifically to earn citations. This is the core difference. Aeoix does not just point at a content gap. It produces the content that fills it, on every plan. It includes a 100,000+ publisher marketplace. Average domain rating of 74, with thousands of live placements. When the data says you need authority from trusted sources, you run that outreach inside Aeoix. AthenaHQ has no equivalent. One AEO Score. Citation rate, structured data, content clarity, and E-E-A-T signals roll into a single 0 to 100 number with a four-pillar breakdown, so the next move is always clear. It tracks 8 AI engines with no per-engine surcharge, and turns the data into a prioritized worklist every cycle. Execution is not gated behind enterprise. The content engine and publisher access come with the standard plans starting at $89 a month, not a custom contract. Side by side. | Feature | Aeoix | AthenaHQ | | AI engines covered | 8 | 8+ | | AEO Score | Yes, four-pillar 0-100 | Visibility metrics | | Citation tracking | URL and domain level | Yes | | Sentiment / crisis detection | Yes | Yes | | Hallucination monitoring | Via brand mention tracking | Yes, dedicated | | Integrations (GA4, GSC, Shopify) | Core tracking | Yes | | Content generation | 10-40 articles/month, all plans | Enterprise tier agents | | Publisher marketplace | 100,000+ domains, avg DR 74 | Not offered | | Prioritized action plan | Yes, recurring worklist | Recommendations | | Free report, no signup | Yes, in ~60 seconds | Trial / signup | | Starting price | $89/month | ~$95/month | Who should pick AthenaHQ. AthenaHQ is the better fit if: * Dedicated hallucination monitoring and crisis detection are top priorities * You rely heavily on GA4, Search Console, and Shopify integrations and want them native * You are an enterprise that wants dedicated GEO specialists and white-glove support * Monitoring and analysis are your main need, with execution handled separately It is a genuinely strong platform, and for a brand-protection-led use case it is a fair pick. Who should pick Aeoix. Aeoix is the better fit if: * You want execution built in, not bolted on at the enterprise tier * You need content generation and publisher outreach included from the start * You want one AEO Score and a clear, ranked action plan rather than a set of metrics * You would rather act inside one platform than coordinate content and outreach elsewhere * You want transparent pricing and execution power on a standard $89 plan The honest take. This one is close, and AthenaHQ deserves credit. On pure tracking, sentiment, and brand protection, it is a capable, complete platform, and its integrations are a real strength. The deciding factor is execution. AthenaHQ tells you what to fix and, at the enterprise level, helps you plan it. Aeoix puts the fixing in your hands on every plan, with a content engine that writes citation-ready articles and a publisher marketplace that turns insight into placements. If you mainly need monitoring and brand protection, AthenaHQ is a solid choice. If you want a platform that tracks your visibility and then actually moves it, without waiting for an enterprise contract, that is Aeoix. See where you stand before you decide. Drop your domain into Aeoix and get a free AI report in about 60 seconds. AEO Score, brand mentions across every major AI engine, competitor gaps, and a set of action items. No onboarding. No credit card. Just five minutes. Raj Shekhar June 6, 2026
AthenaHQ vs Naridon for Shopify (2026 deep comparison). AthenaHQ and Naridon are the closest direct competitors - both Shopify-native, both credit-based. The real differences are price per credit, action-layer naming, free tier, and the multi-platform footprint. Want more qualified Shopify traffic from AI search? Run a free Naridon scan to see which prompts, products, and AI engines can send more ready-to-buy visitors. TL;DR: AthenaHQ and Naridon are both credit-based citation tools with native Shopify integration. AthenaHQ Self-Serve is $295/mo for 3,600 credits with uncapped overage; Naridon Starter is $49/mo for 3,000 credits with auto top-up capped at $100/mo. Same credit volume, Naridon is roughly 6x cheaper at sticker and adds a free tier, WooCommerce/Shopware support, and Autopilot (apply/revert free). For most Shopify merchants, the gap is real and the savings are honest. AthenaHQ is the closest direct overlap with Naridon: both market native Shopify integration, both run on credit-based pricing, both include an action layer on the standard tier. Here's the honest read after digging into the published pricing on both sides. The two tools side-by-side. | Capability | AthenaHQ Self-Serve ($295) | Naridon Starter ($49) | | ChatGPT (GPT-4 / 4o / 4.5) | Yes | Yes | | Anthropic Claude | Yes | Yes | | Google Gemini | Yes | Yes | | Perplexity | Yes | Yes | | Bing Copilot | Yes | Yes | | Bring-your-own-key (more engines) | No | +Models tier ($99 Starter, $349 Growth) | | Native Shopify | Yes | Yes | | Native WooCommerce | No | Yes | | Native Shopware | No | Yes | | Credit allotment | 3,600 cr/mo | 3,000 cr/mo Starter (25,000 Growth, 150,000 Enterprise) | | Overage / top-up | $100 / 1,250 cr (uncapped) | Auto top-up capped at $100/mo; packs (500/$10, 2,000/$35, 5,000/$60) never expire | | Free tier | $95 first-month promo (no permanent free) | Yes - $0, 150 cr/mo, daily caps | | Action layer (standard tier) | Basic recommendations | Autopilot (fix gen 2 cr; apply / revert 0 cr) + Nari in-app agent | | White-label PDF reports | Enterprise tier | Free on Naridon Growth+ | Credit math, honest comparison. Both tools price by credits. The honest unit comparison: * AthenaHQ: $295 / 3,600 cr = $0.0819 per credit. 1 credit ≈ 1 AI response. * Naridon Starter: $49 / 3,000 cr = $0.0163 per credit. Prompt run is 3 cr (covers per-AI-model per-location), so $49 buys ~1,000 prompt runs. * Naridon Growth: $249 / 25,000 cr = $0.0100 per credit. ~8,300 prompt runs at $249. * Naridon Enterprise: $899 / 150,000 cr = $0.0060 per credit. Per-credit price: Naridon Starter is roughly 5x cheaper than AthenaHQ. The savings compound as credit volume grows. Where AthenaHQ wins. * Brand recognition. Strong G2 presence (4.9/5 across ~32 reviews). * 1-credit-per-response simplicity. Each AI response is a single credit unit - easy mental model. * Enterprise workflow polish. Action Center on enterprise tier targets multi-property marketing teams with established operating cadence. Where Naridon wins. * Sticker price. $49 Starter vs $295 Self-Serve - roughly 6x cheaper at entry. * Per-credit price. 5x cheaper credits at Starter, even better at Growth/Enterprise. * Capped overage. Auto top-up hard ceiling of $100/mo means you can't get blindsided. AthenaHQ overage is uncapped. * Real free tier. 150 cr/mo at $0 with daily caps - no first-month promo expiration trap. * Apply / revert free. Naridon's Autopilot doesn't charge credits to apply or revert a fix - only generation costs (2 cr). * Multi-platform. Native WooCommerce and Shopware adapters shipped, Intershop in progress. * Bring-your-own-key option. +Models tier ($99 Starter / $349 Growth) extends beyond the 5 default engines. * Pack credits never expire. Top-up purchases roll forward. The real credit-burn scenario. 50 prompts x 5 engines x daily refresh = 250 AI responses/day = 7,500 responses/month. * AthenaHQ: 7,500 - 3,600 = 3,900 cr overage at $100/1,250 = $312 overage on top of $295 base = $607/mo realistic total. Reviewers across Tryanalyze and Indexly cite customers running through credits in 14 days as the most common friction point. * Naridon: 50 prompts x 3 cr x 30 days = 4,500 cr - fits inside Starter's 3,000 plus auto top-up; could land at $49 + ~$30 top-up ≈ $79, capped at $49 + $100 = $149 worst case. Or step up to Growth ($249, 25,000 cr) and stay comfortably inside. Action layer: closed-loop Autopilot vs enterprise-gated Action Center. Both tools advertise an action layer. The standard-tier comparison: * Naridon Starter ($49) - Autopilot is a closed loop: * Detect citation gaps (which prompts you lose on, on which engines). * Generate fix candidates (product descriptions, FAQs, blogs, schema). * LLM-verify the fix actually answers the target prompt before publish. * Apply via platform adapter (Shopify / WooCommerce / Shopware). * Track lift in the next prompt run. Daily fix-budget: 10 (Starter), 50 (Growth), 200 (Enterprise). Apply / revert: 0 credits. Plus Nari in-app agent; read-only tools free. * AthenaHQ Self-Serve ($295): Tracking plus recommendations. Action Center workflow automation sits on enterprise tier (~$2,000/mo+); published feature list doesn't advertise a pre-apply LLM verification step or a next-run lift-tracking loop equivalent to Autopilot. The G2 / review picture. AthenaHQ scores well on G2 (4.9/5). Independent reviews on Tryanalyze, Indexly, and Relixir consistently flag credit-burn as the friction point - customers like the product but trip over the pricing. Naridon's review footprint is smaller (newer); the platform doc shows the credit weights and caps published upfront, which is unusual transparency in this category. Who should Pick each. * Pick AthenaHQ if: You manage multiple brand properties, have enterprise marketing budget, prefer AthenaHQ's brand maturity, and can absorb uncapped overage. * Pick Naridon if: You want native Shopify (and optionally Woo / Shopware), care about per-credit price, want a capped overage, and want the action layer included at the Starter tier. * Stack neither: Free tier exists on Naridon for one-month validation before committing. The honest verdict. Both are credible Shopify-native, credit-based citation tools. AthenaHQ is more polished on enterprise workflow features; Naridon prices credits roughly 5x cheaper, caps overage at $100/mo, ships a real free tier, and supports more commerce platforms. For most Shopify merchants under $25M ARR, that's the deciding gap. Install Naridon on Shopify - $49/mo Starter (3,000 credits ≈ 1,000 prompts), Autopilot included, apply/revert free, auto top-up capped at $100/mo. Also runs on WooCommerce and Shopware. Ready to rank for these conversations? Join early adopters who are already capturing AI search traffic.