AthenaHQ measures your AI channel revenue.
Slingso grows it
AthenaHQ attributes revenue to AI citations and tracks brand visibility across AI engines. Slingso's agent takes the execution step — autonomously growing purchase likelihood and attributable revenue rather than only reporting on them.
Slingso
The autonomous AI purchase channel agent
Autonomously operates your AI channel: monitors performance, investigates 4P competitive gaps, creates brand-approved content, and builds compounding memory that makes every run smarter. Measures purchase likelihood (leading) and attributable revenue (lagging).
Best for: E-commerce and DTC brands that want an agent growing their AI channel, not a dashboard reporting on it.
AthenaHQ
AEO / GEO platform with revenue attribution
Tracks brand visibility, sentiment, and citation sources across ChatGPT, Claude, Perplexity, and others. Integrates with Shopify and GA4 to attribute revenue to AI citations. Credit-based pricing: Self-Serve from ~$295/month (3,600 credits); Growth ~$545/month; Enterprise $2,000+/month. 10-day trial.
Best for: Brands that want to measure and attribute AI search revenue and have a content team ready to act on recommendations.
Side by side
| Dimension | Slingso | AthenaHQ |
|---|---|---|
| Goal | Relentlessly grow revenue & brand value from the AI channel — without overloading brand teams with data dashboards | Track AI brand visibility, sentiment, and citation-level revenue attribution for marketing teams |
| Target Users | Ambitious, fast-moving SMB & mid-market DTC / e-commerce / retail brands, who need to own their targeted customer segment across the entire AI purchase journey | E-commerce brands wanting to measure and attribute AI search revenue |
| Pricing entry | $99/mo Starter · $299/mo Growth · $499/mo Scale — full 5-loop agent on every plan | Credit-based: Self-Serve from ~$295/month (3,600 credits); Growth ~$545/month; Enterprise $2,000+/month. 10-day trial available. |
| Approach | Autonomous agent — monitor → analyse → create → approve → measure | AEO/GEO monitoring dashboard + Shopify/GA4 revenue attribution |
| Autonomous execution | Yes — agent acts end-to-end, pauses only at brand approval | No — monitoring and analytics; execution is manual |
| SKU / product-level actions | Yes — agent creates and publishes content targeted to specific product gaps, per SKU | Brand-level tracking; Shopify integration for product-level revenue attribution |
| 4Ps intelligence per SKU | Yes — Product positioning, Price, Promotion, and Place tracked per competitor SKU every Monitor cycle | Competitor visibility and sentiment; no ongoing 4P intelligence per SKU |
| Brand approval gate | Yes — non-negotiable before every publish | N/A — no autonomous publishing |
| Brand Memory & Context | Yes — compounding, grows with every run. Informs all future agent decisions | No compounding memory layer |
| Shopper Persona Simulation | Yes — full journey (awareness → research → comparison → purchase intent), per configured persona | Not available |
| Business Intelligence & Actions | Yes — beyond content: tracks PR signals, community engagement, review sentiment, pricing strategy, and promotion activity across competitors. Agent acts on these insights to directly improve purchase_likelihood and revenue | Sentiment analysis + citation source tracking; revenue attribution via integrations |
| Competitive Research | Yes — agent scrapes + analyses competitor content, with explicit 4P intelligence: Product, Price, Promotion, Place | Competitor visibility benchmarking; no deep 4P research |
| Consumer AI Assistants Monitored | Starter: ChatGPT + Google AI Overviews + Gemini. Growth: +Perplexity. Scale: +Grok. Custom: Claude, MS Copilot, DeepSeek & more on request. | ChatGPT, Claude, Perplexity (and others) |
| Content creation | Yes — autonomous brief → draft → brand approval | No content creation capability |
| Primary metrics | purchase_likelihood (leading) + attributable revenue (lagging) | AI citation-driven revenue attribution + visibility score |
| Support | Founders directly — not a ticketing queue | Standard support; 10-day trial on paid plans |
Measuring AI revenue vs. growing it.
AthenaHQ — visibility + revenue attribution
AthenaHQ tracks brand visibility across AI engines, monitors sentiment, identifies citation sources, and through Shopify/GA4 integration attempts to attribute revenue to specific AI citations. This is a genuine advance over pure mention tracking.
What AthenaHQ does not do: execute content to improve the position it measures. The platform shows you where revenue is coming from. Your team must act on that data to grow it.
Slingso — autonomous execution
Slingso's agent runs the full loop: Monitor detects the gap → Analyse investigates why (4P competitor intelligence included) → Create drafts → Approve pauses for your sign-off. Your active time: 15–20 minutes per week reviewing what the agent produced. Approve, edit, or reject. Nothing goes live without your sign-off.
Slingso — intelligence, not just content
Slingso doesn't just generate content. It reads and acts on signals that content tools ignore: PR activity, community engagement, customer review sentiment, pricing strategy, and promotion moves — all of which directly shift purchase_likelihood.
When a competitor runs a promotion that shifts AI purchase outcomes, Slingso detects it and suggests a counter-action. When review sentiment moves, the agent updates its brief to address the objection. Business intelligence acting on your behalf.
Slingso — compounding memory
Rule-based systems run the same logic each cycle. They don't learn that "framing our product as the affordable alternative increased purchase likelihood 3×" and apply that pattern going forward.
Slingso's agent accumulates per-brand memory with every run. At month 6 it knows which framing works, which competitor 4P moves hurt your AI channel, and which content is being cited. The agent at month 6 is materially smarter than month 1.
Which tool fits your situation
Choose AthenaHQ if…
- → Attributing AI channel revenue to specific citations is a priority — you need to demonstrate AI search ROI to leadership with Shopify/GA4 data integration.
- → You want sentiment analysis to understand not just where your brand appears but how AI models describe and characterise it.
- → You operate primarily in a single country and the base plan's single-market restriction is not a constraint for your current needs.
- → You have a content team ready to execute on monitoring insights and you want the measurement and attribution infrastructure, not an execution agent.
Choose Slingso if…
- → You want an agent that executes the full loop — not a dashboard your team acts on manually.
- → Growing purchase likelihood and attributable revenue from the AI channel is the goal — not tracking a visibility score.
- → Brand approval is non-negotiable before anything goes live — every piece, every time.
- → You need intelligence beyond content — PR signals, review sentiment, pricing moves, promotion tracking — all connected to purchase_likelihood actions.
- → You want improvement that compounds with every run — and founders supporting you directly, not a ticketing queue.
Common questions
What is AthenaHQ? +
AthenaHQ is an AEO/GEO platform that tracks brand visibility, sentiment, and citation sources across 8+ AI engines including ChatGPT, Claude, Perplexity, and Gemini. It integrates with Shopify and GA4 for citation-level revenue attribution. Credit-based pricing: Self-Serve ~$295/month (3,600 credits); Growth ~$545/month; Enterprise $2,000+/month. 10-day trial available.
Does AthenaHQ execute content or run autonomously? +
No. AthenaHQ is a monitoring and analytics platform with revenue attribution. All content creation, optimization, and publishing must be executed manually by your team. Slingso's agent runs the full monitor → analyse → create → approve → measure loop, pausing only at the brand approval gate.
How is Slingso's purchase_likelihood different from AthenaHQ's revenue attribution? +
AthenaHQ's revenue attribution tracks revenue flowing from AI citations — a lagging metric. Slingso's purchase_likelihood is a leading metric: how likely your specific product is to be recommended to a shopper in a purchase journey — before the revenue event. Slingso tracks attributable revenue as a lagging metric too, but actively improves it by running the full execution loop.
What is 4P competitive intelligence? +
Slingso's Monitor loop runs Product, Price, Promotion, and Place intelligence for every competitor SKU every cycle. A competitor's price drop or promotion shifts AI purchase recommendations. Slingso detects and acts on these 4P moves. AthenaHQ tracks competitor visibility and sentiment; it does not run ongoing 4P intelligence per SKU.
How does AthenaHQ's credit-based pricing work? +
AthenaHQ uses a credit system where monitoring queries, keyword tracking, and AI model checks consume credits. The Self-Serve plan includes 3,600 credits/month at ~$295/month; additional credits cost $100 per 1,250. Growth is ~$545/month with higher volume. Enterprise ($2,000+/month) unlocks advanced features including the ACE engine and persona targeting. A 10-day trial is available; there is no permanent free tier.
Can I use AthenaHQ and Slingso together? +
Potentially. AthenaHQ's revenue attribution and sentiment data provides a measurement layer that could complement Slingso's execution. In practice, the core use cases overlap and most brands choose one primary platform. For brands focused on growing their AI channel rather than only measuring it, Slingso's execution-first approach covers both the doing and the measuring at a more accessible price point.
See your products' purchase likelihood in the AI channel
Enter your URL. Slingso maps your products and personas against real AI shopping journeys on ChatGPT and Gemini. No account required. Results in 60 seconds.
Free audit · No credit card · No account until you run
Last updated: April 2026 · Data verified from competitor websites