AthenaHQ score factors
Editorial quality80
Practical utility82
Trust & transparency85
Freshness90
Engagement quality11
Momentum100
Decision guide · Reviewed Sep 23, 2026 · AI SEO & Content Optimization, AI Search Visibility (GEO/AEO)
AthenaHQ
78.3
Profound
76.1Choose AthenaHQ when you need brands, agencies, and enterprise marketing teams looking to measure, control, and increase their share of voice across generative AI search platforms. Choose Profound when you need brands and marketing agencies needing to monitor share of voice, citations, and factual accuracy across consumer AI answer engines.
At a glance
The practical differences
| Decision factor | AthenaHQ | Profound |
|---|---|---|
| Best for | brands, agencies, and enterprise marketing teams looking to measure, control, and increase their share of voice across generative AI search platforms | brands and marketing agencies needing to monitor share of voice, citations, and factual accuracy across consumer AI answer engines |
| Not ideal for | teams focused strictly on traditional Google backlink building or looking for entry-level, low-cost keyword rank checkers | small businesses seeking traditional Google keyword rank tracking or basic website analytics without answer engine focus |
| Pricing | At the review date (September 2026), AthenaHQ offers a free plan with 300 credits ($25 free credit) and a Starter tier at $295/month (or annual billing with 17% off). Enterprise plans require custom pricing. API access and extra credits are paid add-ons. Check the official pricing page for updates. | At the review date in September 2026, paid plans start at $99 per month billed annually for the Starter tier, $399 per month for Growth, and custom quotes for Enterprise. Check the official pricing page for current rates. |
| Key difference | Unlike standard rank trackers, AthenaHQ delivers prompt-level citation tracking across 11+ generative models, offers actionable on- and off-page fix recommendations via its content agent, and provides an agentic copilot (Ask Athena) trained directly on account-specific visibility data. | Profound queries real front-end consumer interfaces rather than model APIs, runs tracked prompts daily to account for generative answer variability, and incorporates an anonymized panel dataset of over 1.5 billion real-world AI user prompts. |
| Overall rank | #101 | #218 |
| Review verdict | AthenaHQ is suited for marketing teams, SEO specialists, and agencies committed to tracking and expanding their visibility in generative AI answers. It is less suitable for teams wanting purely traditional search engine ranking tools or businesses not prepared to optimize content specifically for AI citations. | Profound suits marketing, SEO, and communications teams that need systematic measurement of how AI answer engines cite and portray their brands. It is less relevant for local brick-and-mortar shops or teams solely focused on standard search engine results pages. |
Profound score factors
Editorial quality78
Practical utility82
Trust & transparency79
Freshness88
Engagement quality8
Momentum100
AthenaHQ strengths
- Covers a wide range of LLMs and search engines (11+ models including Perplexity, DeepSeek, and Grok)
- Offers proprietary Ask Athena copilot to interrogate account-specific visibility data
- Integrates with major web stacks and BI platforms including GA4, Shopify, Tableau, and Looker
- Strong security profile with SOC II Type 2 certification and NIST CSF 2.0 Tier 3 compliance
Profound strengths
- Scrapes consumer browser outputs rather than raw API endpoints to mirror real user experiences
- Provides real-world prompt demand data from an opt-in consumer panel dataset
- Includes dedicated FactCheck reporting to pinpoint and correct brand misinformation
- Supports multi-region monitoring spanning more than 150 regions and 30 languages on enterprise plans
Frequently asked
AthenaHQ vs Profound
Should I choose AthenaHQ or Profound?+
Choose AthenaHQ when you need brands, agencies, and enterprise marketing teams looking to measure, control, and increase their share of voice across generative AI search platforms. Choose Profound when you need brands and marketing agencies needing to monitor share of voice, citations, and factual accuracy across consumer AI answer engines. ToolsRank scores AthenaHQ 78.3 and Profound 76.1; the gap reflects editorial quality, utility, trust, and freshness, not popularity or payment.
Is AthenaHQ cheaper than Profound?+
AthenaHQ: At the review date (September 2026), AthenaHQ offers a free plan with 300 credits ($25 free credit) and a Starter tier at $295/month (or annual billing with 17% off). Enterprise plans require custom pricing. API access and extra credits are paid add-ons. Check the official pricing page for updates. Profound: At the review date in September 2026, paid plans start at $99 per month billed annually for the Starter tier, $399 per month for Growth, and custom quotes for Enterprise. Check the official pricing page for current rates. Compare the plan you would actually use and verify current prices on each vendor's pricing page before purchasing.
Which is better for ai seo & content optimization?+
AthenaHQ currently scores higher for ai seo & content optimization work. Profound remains the stronger pick when your priority is brands and marketing agencies needing to monitor share of voice, citations, and factual accuracy across consumer AI answer engines. Avoid AthenaHQ if you are teams focused strictly on traditional Google backlink building or looking for entry-level, low-cost keyword rank checkers.
Can I use AthenaHQ and Profound together?+
Yes. AthenaHQ stands out for unlike standard rank trackers, AthenaHQ delivers prompt-level citation tracking across 11+ generative models, offers actionable on- and off-page fix recommendations via its content agent, and provides an agentic copilot (Ask Athena) trained directly on account-specific visibility data. Profound stands out for profound queries real front-end consumer interfaces rather than model APIs, runs tracked prompts daily to account for generative answer variability, and incorporates an anonymized panel dataset of over 1.5 billion real-world AI user prompts. Pairing them makes sense when one workflow needs both strengths; otherwise pick the tool that matches your primary job.