Profound vs AthenaHQ
Profound and AthenaHQ compared on the same dimensions, with Nagent beside them: role, pricing, governance evidence, screenshots and the demonstration to ask for.
Profound is a discovery measurement and content-execution specialist at a quoted rate; AthenaHQ is a discovery measurement and content-execution specialist at $295 / month. Nagent is multiplayer AI for growth teams: agent teams for marketing, sales and CX in one shared workspace, from $29.99 a month, with autonomy earned on approved work.
Verdict
Profound and AthenaHQ both sit in the SEO / AEO category. Profound combines AI visibility measurement with AI Marketer context and workflows. AthenaHQ offers AI-search monitoring and content/action recommendations.
| Difference | Profound | AthenaHQ |
|---|---|---|
| Published price | Free trial; Enterprise custom. Trial: 10 prompts run once on ChatGPT. Enterprise monitoring and AI Marketer credits are quoted. Source ↗ | $295 / month. Starter: 3,600 credits; one credit per AI response. Extra credits and API access can add cost. Source ↗ |
| Governance evidence | The page describes credit estimation and administration. Verify approval and publishing rights within the contracted workflows. Source ↗ | Enterprise access controls are listed; autonomous improvement claims need validation against approved content versions. Source ↗ |
| Growth scope | Marketing Source ↗ | Marketing Source ↗ |
At a glance
| Dimension | Nagent ↗ | Profound ↗ | AthenaHQ ↗ |
|---|---|---|---|
| Stack role | Control plane / Horizontal AI | Specialist / SEO / AEO | Specialist / SEO / AEO |
| Maturity | scaling | scaling | scaling |
| Growth scope | Marketing, Sales, CX | Marketing | Marketing |
| Price | From $29.99 per month | Free trial; Enterprise custom | $295 / month |
| Billing basis | Published plans with seats and monthly credits; annual billing saves 33%. Enterprise adds VPC deployment, BYO model and BYO key. | Trial: 10 prompts run once on ChatGPT. Enterprise monitoring and AI Marketer credits are quoted. | Starter: 3,600 credits; one credit per AI response. Extra credits and API access can add cost. |
| Documented statements | Nagent runs a shared workspace for people and agents, Smriti memory that every agent reads, Karma performance records built from each agent's KPIs and governance history, and composable skills, tools, agents and workflows. 17 ready-to-install agents ship today: one super agent, 8 function specialists and 8 industry strategists. Agents run on 19 model providers and 61 models and connect to 998 tools. More than 200 agents run on Nagent, built in the agent builder or installed from the marketplace. 4 patents filed, 3 published. | Profound combines AI visibility measurement with AI Marketer context and workflows. The current pricing page shows a free trial and enterprise packaging rather than a reliable universal self-service rate. | AthenaHQ offers AI-search monitoring and content/action recommendations. The reviewed plan page describes content optimization agents and on-page and off-page actions. |
| Governance evidence | Every action is fired, queued for approval or refused. Approval sits before the irreversible step, destructive changes always ask first, and each agent carries a budget cap and a kill switch. 6 workspace roles (Admin, Sales, Approver, Editor, Writer, Viewer), tenant isolation and an append-only audit trail. Autonomy runs L0 Locked to L4 Fully autonomous and is promoted on approved work, never automatically. ISO/IEC 27001:2022 certified by InterCert; SOC 2 Type II programme underway; tenant isolation, RBAC, append-only audit and private VPC available today. | The page describes credit estimation and administration. Verify approval and publishing rights within the contracted workflows. | Enterprise access controls are listed; autonomous improvement claims need validation against approved content versions. |
| Promoted use cases | Run marketing, sales and CX agent teams with the people who own the number; Give every agent one shared memory and one ledger of decisions; Raise each agent from locked to fully autonomous on approved work, with approval before anything irreversible; Bring in forward deployed engineers and Growth Pods for custom delivery | Track brand representation in AI answers; Identify citation and content opportunities; Run context-grounded marketing workflows | Monitor AI answer presence; Prioritize content improvements; Track competitors and optimize discovery |
| Review status | Figures from live client campaigns, 2025 to 2026, are published on nagent.ai: Emami Navratna: 24.5M+ reach on a single agent-run campaign; Madmonk AI: 5x more qualified leads; Bigbasket: 70% lower video ad production cost; Sophoz: 3x trial user growth after relaunch. Thirteen brands are named, with four customers quoted by name. These are vendor-published results; ask for a reference in your function and the baseline behind each figure. | A September 2026 G2 reviewer describing agency work calls out substantial onboarding and a high price while still finding operational value. Other visible reviews praise visibility tracking and ask for clearer explanations of score changes. Individual agency and brand use cases differ; these accounts do not independently validate claimed traffic or pipeline lift. | No independent review sample was verified in this research pass. Vendor-hosted testimonials are selection-biased customer evidence, not an aggregate rating. |
| Editorial fit | Nagent is the option for teams that want agents and people in one workspace rather than a tool beside the work: shared memory, autonomy that is earned and enforced, published pricing from $29.99 per month, and a delivery team that owns the outcome with you. Evaluate it on the same evidence you would ask of any vendor: shared context, human control and a safe improvement loop. | Profound should be evaluated both as a measurement system and as an execution layer. A visibility chart alone does not prove qualified demand or incremental revenue. | Athena is a focused AEO candidate. Compare its measurement coverage and actionable diagnostics with the work actually delivered by a custom growth team. |
| Priority question | Can two colleagues join the same live agent task, change its direction, inspect the memory it used, approve or reject an action and export the audit trail? Nagent demonstrates this in a team room. | How are prompts sampled and repeated, and how do we distinguish real visibility change from answer variability? | Can we trace each recommendation to repeated observations, then review the proposed change before publication? |
| Facts checked | 4 October 2026 | 23 September 2026 | 23 September 2026 |
| Detailed guide | All Nagent comparisons ↗ | Nagent vs Profound ↗ | Nagent vs AthenaHQ ↗ |
Screenshots and source context
Nagent in detail
Multiplayer AI platform for growth teams: AI agent teams for marketing, sales and CX work with people in one shared workspace, with Smriti memory, Karma scoring and autonomy that is earned, not deployed.
What the vendor documents
Nagent runs a shared workspace for people and agents, Smriti memory that every agent reads, Karma performance records built from each agent's KPIs and governance history, and composable skills, tools, agents and workflows. 17 ready-to-install agents ship today: one super agent, 8 function specialists and 8 industry strategists. Agents run on 19 model providers and 61 models and connect to 998 tools. More than 200 agents run on Nagent, built in the agent builder or installed from the marketplace. 4 patents filed, 3 published.
From $29.99 per month
Published plans with seats and monthly credits; annual billing saves 33%. Enterprise adds VPC deployment, BYO model and BYO key.
Check current commercial source ↗Collaboration and governance
Every action is fired, queued for approval or refused. Approval sits before the irreversible step, destructive changes always ask first, and each agent carries a budget cap and a kill switch. 6 workspace roles (Admin, Sales, Approver, Editor, Writer, Viewer), tenant isolation and an append-only audit trail. Autonomy runs L0 Locked to L4 Fully autonomous and is promoted on approved work, never automatically. ISO/IEC 27001:2022 certified by InterCert; SOC 2 Type II programme underway; tenant isolation, RBAC, append-only audit and private VPC available today.
Promoted use cases
- Run marketing, sales and CX agent teams with the people who own the number
- Give every agent one shared memory and one ledger of decisions
- Raise each agent from locked to fully autonomous on approved work, with approval before anything irreversible
- Bring in forward deployed engineers and Growth Pods for custom delivery
Review and customer evidence
Figures from live client campaigns, 2025 to 2026, are published on nagent.ai: Emami Navratna: 24.5M+ reach on a single agent-run campaign; Madmonk AI: 5x more qualified leads; Bigbasket: 70% lower video ad production cost; Sophoz: 3x trial user growth after relaunch. Thirteen brands are named, with four customers quoted by name. These are vendor-published results; ask for a reference in your function and the baseline behind each figure.
Editorial fit
Nagent is the option for teams that want agents and people in one workspace rather than a tool beside the work: shared memory, autonomy that is earned and enforced, published pricing from $29.99 per month, and a delivery team that owns the outcome with you. Evaluate it on the same evidence you would ask of any vendor: shared context, human control and a safe improvement loop.
Priority question for the demo: Can two colleagues join the same live agent task, change its direction, inspect the memory it used, approve or reject an action and export the audit trail? Nagent demonstrates this in a team room.
Profound in detail
AI visibility and answer-engine optimization platform with agentic marketing workflows.
What the vendor documents
Profound combines AI visibility measurement with AI Marketer context and workflows. The current pricing page shows a free trial and enterprise packaging rather than a reliable universal self-service rate.
Free trial; Enterprise custom
Trial: 10 prompts run once on ChatGPT. Enterprise monitoring and AI Marketer credits are quoted.
Check current commercial source ↗Collaboration and governance
The page describes credit estimation and administration. Verify approval and publishing rights within the contracted workflows.
Promoted use cases
- Track brand representation in AI answers
- Identify citation and content opportunities
- Run context-grounded marketing workflows
Review and customer evidence
A September 2026 G2 reviewer describing agency work calls out substantial onboarding and a high price while still finding operational value. Other visible reviews praise visibility tracking and ask for clearer explanations of score changes. Individual agency and brand use cases differ; these accounts do not independently validate claimed traffic or pipeline lift.
Editorial fit
Profound should be evaluated both as a measurement system and as an execution layer. A visibility chart alone does not prove qualified demand or incremental revenue.
Priority question for the demo: How are prompts sampled and repeated, and how do we distinguish real visibility change from answer variability?
AthenaHQ in detail
Agent-oriented platform for improving brand presence in AI search.
What the vendor documents
AthenaHQ offers AI-search monitoring and content/action recommendations. The reviewed plan page describes content optimization agents and on-page and off-page actions.
$295 / month
Starter: 3,600 credits; one credit per AI response. Extra credits and API access can add cost.
Check current commercial source ↗Collaboration and governance
Enterprise access controls are listed; autonomous improvement claims need validation against approved content versions.
Promoted use cases
- Monitor AI answer presence
- Prioritize content improvements
- Track competitors and optimize discovery
Review and customer evidence
No independent review sample was verified in this research pass. Vendor-hosted testimonials are selection-biased customer evidence, not an aggregate rating.
Editorial fit
Athena is a focused AEO candidate. Compare its measurement coverage and actionable diagnostics with the work actually delivered by a custom growth team.
Priority question for the demo: Can we trace each recommendation to repeated observations, then review the proposed change before publication?
How to run the evaluation
Run the same bounded pilot on Profound and AthenaHQ and on Nagent, with the inputs, the required output and the measure fixed before the first demo. Ask each vendor to show who can propose, approve, execute, interrupt and audit the action, and keep the evidence.
Visibility diagnosis with repeatable sampling
Define a buyer-question set before the pilot, segment it by intent and geography, and repeat observations across the engines in scope. Record mentions, citations and answer quality separately. Add neutral and competitor-oriented questions so the exercise does not reward a tool merely for tracking prompts already favorable to the brand.
Measure: coverage, answer variability, citation accuracy and useful diagnostic findings.
Evidence to an approved content change
Choose one material gap and ask the system to explain its source evidence. Request a proposed page revision with factual references, an editorial review and a publication boundary. A marketer should be able to reject the recommendation while preserving the underlying measurement and reasoning.
Measure: accepted recommendations, factual corrections and publishing effort.
Discovery to commercial contribution
Track meaningful website visits and qualified conversions where attribution is technically available, while acknowledging unobservable journeys. Compare the changed pages with similar unchanged pages and note concurrent campaigns. Do not call a short-term visibility movement a causal revenue result without evidence.
Measure: qualified visits, conversions, editorial cost and stability of observed improvement.
The evaluation owner should be the organic growth or content lead. Use qualified discovery and accepted editorial improvements as the business target.
Frequently asked questions
Profound vs AthenaHQ: what is the difference?
Profound is a discovery measurement and content-execution specialist; AI visibility and answer-engine optimization platform with agentic marketing workflows. AthenaHQ is a discovery measurement and content-execution specialist; Agent-oriented platform for improving brand presence in AI search. Both sit in the same stack role, so delivery scope, commercial basis and governance decide.
How do Profound and AthenaHQ compare on price?
Profound: Free trial; Enterprise custom. Trial: 10 prompts run once on ChatGPT. Enterprise monitoring and AI Marketer credits are quoted. AthenaHQ: $295 / month. Starter: 3,600 credits; one credit per AI response. Extra credits and API access can add cost. Nagent publishes 4 plans, from $29.99 a month, with monthly credits as the unit of agent work.
Which has stronger governance: Profound or AthenaHQ?
Profound: The page describes credit estimation and administration. Verify approval and publishing rights within the contracted workflows. AthenaHQ: Enterprise access controls are listed; autonomous improvement claims need validation against approved content versions. Nagent puts approval before any irreversible action, gives each agent a budget cap and a kill switch, and keeps an append-only audit trail.
Is Nagent an alternative to Profound or AthenaHQ?
Nagent is a multiplayer AI platform where agent teams for marketing, sales and CX work with people in one shared workspace. It overlaps with Profound and AthenaHQ where a growth team wants agents to do the work, and differs in operating model, governance and delivery; many teams run it beside a a discovery measurement and content-execution specialist.
What should I ask Profound and AthenaHQ in a demo?
Profound: How are prompts sampled and repeated, and how do we distinguish real visibility change from answer variability? AthenaHQ: Can we trace each recommendation to repeated observations, then review the proposed change before publication? For Nagent, ask to see a team room with several people, an approval taken in the Inbox and the audit entry it leaves.
Sources and research notes
- Nagent · product ↗
- Nagent · commercial / feature reference ↗
- Nagent · platform, workspace and security ↗
- Nagent · customer results ↗
- Profound · product ↗
- Profound · commercial / feature reference ↗
- Independent reviews · G2, Profound ↗
- Official Answer Engine Insights documentation ↗
- Official Pages documentation ↗
- AthenaHQ · product ↗
- AthenaHQ · commercial / feature reference ↗
- Platform overview ↗
- Announcing the Athena Citation Engine ↗
- Official prompt-volume explanation ↗
- Nagent · security and compliance ↗