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AthenaHQ

AthenaHQ is an AI-powered Research AI tool — Track how AI assistants mention, cite, and rank your brand and competitors in AI search. Best for: Research AI. Pricing: Paid (GateOnAI Score: 52/100).

Track how AI assistants mention, cite, and rank your brand and competitors in AI search.

PaidLive

AthenaHQ provides a unified platform for AI Engine Optimization (AEO) and Generative‑AI Optimization (GEO) teams to manage and improve their brand’s visibility in AI‑powered search results. The AEO/GEO Manager Command Center lets users execute end‑to‑end AI search optimization strategies, including cross‑platform visibility tracking across more than 11 large language models, automated content‑optimization recommendations, citation source analysis, and manual tracking of scattered tools. The Executive AI Visibility Dashboard offers board‑ready reporting, ROI tracking, competitive intelligence summaries, and strategic oversight of AI search presence. Additional features include AI‑powered PR monitoring with real‑time brand mention alerts, sentiment analysis, crisis detection, AI‑optimized press kits, content‑gap analysis, AI‑friendly templates, and brand‑visibility intelligence such as mention frequency, competitor share‑of‑voice, and sentiment monitoring. AthenaHQ is positioned for marketing, PR, and product teams in commercial and enterprise businesses that need to control how AI assistants cite and rank their brand.

Summary written from AthenaHQ's own website on 30 Oct 2026. Check the vendor's website for current details.

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MCP server

AthenaHQ has an MCP server listed in the Official MCP Registry (ai.athenahq/mcp). AI assistants and code editors that support MCP can use AthenaHQ directly. Endpoint: https://api.athenahq.ai/api/mcp.

GateOnAI has not tested this server. Check the provider's documentation before you connect it.

How to evaluate AthenaHQ before you buy

What GateOnAI has on record

Questions to ask the vendor

  1. Will you sign a GDPR data processing agreement (Article 28) and share your list of sub-processors?
  2. Where is our data stored and processed, and is it used to train your models?
  3. Is there a free trial or pilot, and what does the plan we need cost per user?
  4. Can we export all our data, and how is it deleted when we cancel?

Full checklist: 43 questions to ask an AI vendor · Alternatives to AthenaHQ · Compare AthenaHQ with Semantic Scholar

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