Peec tracks your AI search analytics.
Slingso turns them into revenue
Peec AI gives agencies and brand teams flexible, multi-platform AI search monitoring. Slingso runs the autonomous execution loop that turns monitoring data into purchase likelihood and attributable revenue.
Slingso
The autonomous AI purchase channel agent
Purpose-built for brand execution. Monitors AI channel performance, applies 4P competitive intelligence per SKU, creates optimised content autonomously, and pauses for brand approval before every publish. Goal: purchase likelihood and attributable revenue.
Best for: DTC & e-commerce brands that want an agent operating their AI channel, not more data to act on manually.
Peec AI
AI search analytics for agencies & marketing teams
Tracks brand and product citations across ChatGPT, Perplexity, Gemini, Copilot, Google AI Mode, and AI Overviews. Flexible per-project tracking frequency. Agency-oriented architecture. USD pricing: $95–$495/month with optional platform add-ons.
Best for: Agencies managing multiple client brands and marketing teams that want granular multi-platform AI visibility analytics.
Side by side
| Dimension | Slingso | Peec AI |
|---|---|---|
| Goal | Relentlessly grow revenue & brand value from the AI channel — without overloading brand teams with data dashboards | Provide AI search analytics and citation tracking for marketing teams and agencies |
| 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 | Marketing agencies and brand teams wanting flexible multi-platform AI search analytics |
| Pricing entry | $99/mo Starter · $299/mo Growth · $499/mo Scale — full 5-loop agent on every plan | Starter $95/month (50 prompts, 3 models); Pro $245/month (150 prompts); Advanced $495/month (350 prompts); Enterprise custom |
| Approach | Autonomous agent — monitor → analyse → create → approve → measure | Multi-platform monitoring dashboard; flexible per-project configuration |
| Autonomous execution | Yes — agent acts end-to-end, pauses only at brand approval | No — monitoring and analytics only |
| SKU / product-level actions | Yes — agent creates and publishes content targeted to specific product gaps, per SKU | Project-level tracking; no product-level action capability |
| 4Ps intelligence per SKU | Yes — Product positioning, Price, Promotion, and Place tracked per competitor SKU every Monitor cycle | Citation tracking across platforms; no 4P competitive intelligence |
| Brand approval gate | Yes — non-negotiable before every publish | N/A — no publishing capability |
| 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 | Citation frequency and platform-level analytics; no business intelligence signal layer |
| Competitive Research | Yes — agent scrapes + analyses competitor content, with explicit 4P intelligence: Product, Price, Promotion, Place | Competitor share-of-voice; no deep competitive research |
| Consumer AI Assistants Monitored | Starter: ChatGPT + Google AI Overviews + Gemini. Growth: +Perplexity. Scale: +Grok. Custom: Claude, MS Copilot, DeepSeek & more on request. | ChatGPT, Perplexity, Gemini, Copilot, Google AI Mode, AI Overviews (Claude/DeepSeek/Grok add-ons) |
| Content creation | Yes — autonomous brief → draft → brand approval | No content creation capability |
| Primary metrics | purchase_likelihood (leading) + attributable revenue (lagging) | Citation frequency + share of voice per platform |
| Founder Bench (monthly AI Purchase Channel strategy time) | Yes — Starter 1×30m, Growth 2×30m, Scale 3×30m monthly; Founders Edition gets a monthly Founders' Roundtable | — |
| Support | Founders directly — not a ticketing queue | Standard support |
Analytics for agencies. Execution for brands.
Peec AI — agency-oriented analytics
Peec AI is engineered for flexibility: per-project tracking frequency, modular platform add-ons, multi-client dashboards. For agencies delivering AI visibility reports, it is a well-designed monitoring infrastructure.
What Peec does not do: act on its own data. The analytics surface citation gaps — closing those gaps, investigating 4P competitive dynamics, creating content, and publishing it all requires human execution after the report is read.
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 Peec AI if…
- → You are an agency managing multiple client brands and need flexible per-project AI search analytics you can configure independently per client.
- → You need granular per-platform coverage including Google AI Mode, Copilot, and the option to add Claude or DeepSeek tracking separately.
- → Your team will execute on analytics data in-house and you need monitoring infrastructure, not an execution agent.
- → You operate primarily in European markets and prefer Euro pricing and a platform designed with European agency workflows in mind.
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 Peec AI? +
Peec AI is an AI search analytics platform for marketing teams and agencies. It monitors brand visibility across ChatGPT, Perplexity, Gemini, Copilot, Google AI Mode, and AI Overviews. USD pricing: Starter $95/month (50 prompts, 3 models); Pro $245/month (150 prompts); Advanced $495/month (350 prompts); Enterprise custom. Additional per-platform modules available for Claude, DeepSeek, and Grok.
Does Peec AI create or publish content autonomously? +
No. Peec AI monitors AI search presence and provides analytics. All optimization — content writing, publication, outreach — must be executed manually by your team. Slingso's agent handles the full loop from monitoring through content creation to the brand approval gate.
What is purchase_likelihood and why does it matter more than citation frequency? +
Peec measures citation frequency — how often your brand appears in AI responses. Purchase likelihood is Slingso's leading metric: how likely your specific product is to be recommended to a shopper in an active purchase journey. High citation frequency does not equal high purchase likelihood. Slingso targets purchase_likelihood because it connects to attributable revenue.
What is 4P competitive intelligence? +
Slingso's Monitor loop runs Product, Price, Promotion, and Place intelligence for every competitor SKU every cycle. AI models learn from competitor publications across all four dimensions. A competitor's price drop or promotion shifts AI purchase recommendations. Slingso's agent detects and acts on these 4P moves. Peec tracks platform citation frequency; it does not run 4P intelligence.
How does Slingso's compounding memory work? +
Slingso's MemoryManager builds a persistent per-brand knowledge layer after every run: which content framing drives purchase likelihood, which competitor 4P moves hurt your AI channel, which content gets cited. The agent at month 6 is materially smarter than at month 1. Peec runs monitoring cycles independently with no compounding layer.
I manage multiple brands as an agency. Can I use Slingso for clients? +
Slingso is designed for brand teams who want an autonomous agent operating their AI channel. For agencies wanting to deliver AI visibility monitoring reports to multiple clients at scale, Peec AI's multi-project architecture is better suited. Slingso is the right choice when an individual brand wants to move from receiving monitoring data to having the execution loop run autonomously on their behalf.
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Last updated: April 2026 · Data verified from competitor websites