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AthenaHQ

AI search visibility plus competitive analysis.

By AthenaHQ · Founded 2024 · San Francisco, CA · private

AthenaHQ is the AI search visibility platform anchored on competitive analysis and share-of-voice tracking, founded 2024. The product covers ChatGPT, Perplexity, Google AI Overviews, and Claude with strong competitive benchmarking. Strengths: strongest competitive analysis in pure-play category, share-of-voice tracking across competitors, modern UX, and strong fit for marketers wanting visibility + share-of-voice. Best fit for marketing teams (10-500 employees) prioritizing competitive AI search benchmarking. Trade-offs: enterprise depth below Profound, smaller community, and like all category vendors methodology still maturing.

Best for

Marketing teams (10-500 employees) prioritizing competitive AI search benchmarking and share-of-voice tracking across competitors.

Worst for

Enterprises wanting deepest tracking (Profound better), SMBs without competitive focus (Otterly cheaper), or buyers needing full SEO + AI integration.

Vendor Trust Score

Is AthenaHQ a trustworthy vendor?

8.1/10
High trust
Pricing transparency
Published rates; no hidden fees
8.5
Contract fairness
Reasonable terms; no auto-renew traps
8.0
Incident response
How they handle outages and breaches
7.5
Post-acquisition behavior
Customer treatment after M&A or PE
8.5
Executive stability
Leadership churn over 24 months
8.0
Roadmap honesty
Public commitments held
8.0
Trust signal log
  • 2024-09-22
    Competitive analysis positioning maintained; founder-led
Vendor Trust is scored independently of product quality. A great product from an unfair vendor still earns a low trust score.
Review Intelligence

What 28 reviews actually say

Synthesized from G2, Capterra, Reddit, Trustpilot. Patterns >15% prevalence shown.

Last synthesized
2026-04-29

Praise patterns

  • Strongest competitive analysis
    84%
  • Share-of-voice tracking
    78%
  • Modern UX
    71%

Complaint patterns

  • Enterprise depth below Profound
    47%
  • Methodology still maturing
    41%
  • Smaller community
    31%
Sentiment trend (6 months)
82/100 +2 pts
11
12
01
02
03
04
Patterns are extracted from review corpus and human-verified. We surface trends, not anecdotes.
Verified Pricing

What buyers actually pay

19 anonymized deal disclosures · last updated 2026-04-30

Contribute your deal price
Company size Median annual
Starter / Pro $2,388
Enterprise $24,000
Verified pricing is crowdsourced from buyers under anonymity guarantees. Vendor-listed prices are validated against actual deals quarterly.
Compliance & Security

Auto-verified certifications

Verified 2026-04-15
SOC 2 Type II
ISO 27001
HIPAA
GDPR
CCPA
PCI DSS
FedRAMP

Editorial: Strengths

  • Strongest competitive analysis in pure-play category
  • Share-of-voice tracking across competitors
  • Modern UX
  • Right call for marketing teams
  • Founder-led

Editorial: Weaknesses

  • Enterprise depth below Profound
  • Smaller community
  • Methodology still maturing
  • Support response times vary
  • Smaller integration ecosystem

Key features & integrations

  • +AI search citation tracking
  • +Competitive share-of-voice
  • +Topic-level scoring
  • +Modern UX
  • +CSV export
  • +Custom prompt sets
20+ integrations
Looker StudioSlackCSV export
Geography supported
Global; strongest in US
Best fit
10–500 employees · Marketing teams with competitive focus
Editorial deep-dive

Read our full ranking of AI Search Visibility Optimization

AthenaHQ ranks #4 in our editorial review of 10 ai search visibility optimization platforms. The deep-dive covers methodology, comparison tables, decision matrix, migration scoring, and FAQs.

Read the full ranking

Closest alternatives in AI Search Visibility Optimization

Help the next buyer

Contribute your verified deal price

Pricing in B2B software is opaque because vendors want it that way. Verified buyer prices fix that, anonymously. Share what you actually paid for AthenaHQ; we’ll add it to the verified pricing dataset on this page (with company size band only, no identifying details).

Submit anonymously