HeyAmos vs Peec AI

Both tools are listed under GEO Brand Tracking & LLM Rank Tracking, and both have been fact-checked by a named editor. This page lines up their structured data and quotes each review’s limitations and pricing notes; it does not pick a winner.

HeyAmos

Generative engine optimization and AI search tracking platform orchestrating LLM query analysis, citation discovery, and competitive sentiment monitoring.

Pricing: Custom / enterprise pricing · Autonomy: L3 · Conditional automation · Moat: 3.8/5.0 (Proprietary moat)

Target fit: SEO Directors, Brand Strategy Leaders, Growth Marketers (Web SaaS)

Read the HeyAmos review

Peec AI

AI search analytics platform monitoring generative engine optimization, conversational model visibility, and brand citation shares across LLM answer engines.

Pricing: From $95/mo · Enterprise plan · Autonomy: L3 · Conditional automation · Moat: 3.7/5.0 (Proprietary moat)

Target fit: B2B SaaS, Marketing Agencies (Web SaaS)

Read the Peec AI review

How HeyAmos and Peec AI differ

Pricing model: HeyAmos is enterprise / quote, Peec AI is subscription.
Peec AI publishes an entry price (From $95/mo · Enterprise plan); HeyAmos does not (Custom / enterprise pricing).
Peec AI was founded earlier (2025) than HeyAmos (2026).
Headquarters: HeyAmos in Singapore, Peec AI in Berlin, Germany.
Audience: HeyAmos targets SEO Directors, Brand Strategy Leaders, Growth Marketers; Peec AI targets B2B SaaS, Marketing Agencies.

Computed from the fields below. Only editor-verified ratings and vendor-sourced prices are compared.

Side-by-side facts

Field	HeyAmos	Peec AI
Subtrack	GEO Brand Tracking & LLM Rank Tracking	GEO Brand Tracking & LLM Rank Tracking
Pricing	Custom / enterprise pricing	From $95/mo · Enterprise plan
Pricing model	Enterprise / quote	Subscription
Free access	No free plan disclosed	No free plan disclosed
Enterprise plan	Yes	Yes
AI autonomy level	L3 · Conditional automation	L3 · Conditional automation
Moat tier	Proprietary moat	Proprietary moat
Delivery	Web SaaS	Web SaaS
Audience	SEO Directors, Brand Strategy Leaders, Growth Marketers	B2B SaaS, Marketing Agencies
Headquarters	Singapore	Berlin, Germany
Fact-checked	Tim Fenolz, Oct 11, 2026	Sarah Per, Oct 7, 2026

AI Head-to-Head Procurement Simulator · Evidence-Locked Dossier

HeyAmos vs Peec AI: TCO & constraint stress test

Test how both tools behave under your team size, monthly budget ceiling, CRM ecosystem, and governance guardrails.

1. Team / Seat Scale

2. Monthly Budget Ceiling

3. Primary Stack

4. Guardrail

Under a 5-seat / $800/mo profile, Peec AI carries lower procurement friction (Conditional Fit · Contract & Stack Caveats) than HeyAmos (High Deal-Risk · Constraint Mismatch). Peec AI publishes a self-serve floor (From $95/mo · Enterprise plan), whereas HeyAmos requires a custom quote (Custom / enterprise pricing).

HeyAmos

High Deal-Risk · Constraint Mismatch

Estimated Floor (5 Seats · Enterprise / Custom)Custom Quote (Custom / enterprise pricing)Vendor does not publish a self-serve USD floor on its pricing page; requires sales qualification.Sales-gated pricing vs. $800/mo cap (High quote risk)

Opaque Enterprise Quoting vs. SMB/Mid-Market Budget: HeyAmos does not disclose a public self-serve floor (Custom / enterprise pricing). Buyers with a $800/mo cap face high sales-qualification friction.
Sales-Gated Contract Terms: HeyAmos provides access through customized enterprise sales agreements rather than standardized self-serve tiers.
Primary Operational Bottleneck: Stochastic Answer Variance: Model stochasticity and real-time retrieval variability create fluctuation in visibility scoring, requiring statistical confidence intervals rather than deterministic rank tracking.

Walk-Away Rule: Walk away if you require transparent self-serve monthly billing or your budget ceiling is under $1,000/mo (HeyAmos requires sales-gated custom quoting).

Negotiation Lever: Demand a 30- to 60-day paid pilot opt-out clause in the HeyAmos order form before signing a 12-month enterprise commitment.

HeyAmos Pricing ↗Full HeyAmos Review →

Peec AI

Conditional Fit · Contract & Stack Caveats

Estimated Floor (5 Seats · Advanced)$140 / mo ($1,680 / yr on Advanced)Stepped to Advanced ($140/mo) for 5-seat team capacity (entry tier starts at $95/mo).Fits within $800/mo cap (18% of ceiling at base floor)

Published Self-Serve Entry Floor: Peec AI publishes a transparent entry point (From $95/mo · Enterprise plan) for initial validation before committing.
Usage / Credit Burn Volatility: Peec AI uses credit or usage-metered billing (From $95/mo · Enterprise plan). High-volume automated workflows across 5 seats can trigger mid-cycle overage charges.
Tier Fit for 5-Seat Scale: Advanced ($140/mo): Price reflects one additional model based on the prompts included in this plan.
Primary Operational Bottleneck: Stochastic Output Drift: Model non-determinism and frequent temperature adjustments across underlying LLM providers can cause variance in brand mention tracking that reflects sampling noise rather than organic visibility shifts.

Walk-Away Rule: Walk away if your workflow requires uncapped enterprise volume on the From $95/mo · Enterprise plan entry plan without upgrading tiers.

Negotiation Lever: Validate exact quota thresholds (seats, credits, or API calls) included in Peec AI's From $95/mo · Enterprise plan tier before converting from monthly to annual billing.

Peec AI Pricing ↗Full Peec AI Review →

Interactive Head-to-Head Scenario Red-Teamer · Fact-Gate Verified

Limitations

HeyAmos

Operational considerations and platform boundaries include: Stochastic Answer Variance: Model stochasticity and real-time retrieval variability create fluctuation in visibility scoring, requiring statistical confidence intervals rather than deterministic rank tracking.

Full limitations in the HeyAmos review

Peec AI

Operational considerations and platform boundaries include: Stochastic Output Drift: Model non-determinism and frequent temperature adjustments across underlying LLM providers can cause variance in brand mention tracking that reflects sampling noise rather than organic visibility shifts.

Full limitations in the Peec AI review

Pricing notes

HeyAmos: Custom / enterprise pricing

HeyAmos provides access through customized enterprise sales agreements rather than standardized self-serve tiers. Commercial licensing is available on request through tailored enterprise sales quotes based on organizational scale, monitored query volumes, and seat allocation requirements.

Pricing details in the HeyAmos review

Peec AI: From $95/mo · Enterprise plan

Commercial packaging follows a tiered SaaS subscription based on tracked prompts, active models, and project volumes. Deployment starts at $95 per month for the Starter tier, which provisions 50 prompts across three foundation models with daily tracking.

Pricing details in the Peec AI review

Peec AI pricing page

Frequently asked questions: HeyAmos vs Peec AI

How does HeyAmos pricing compare to Peec AI in 2026?

HeyAmos is listed at Custom / enterprise pricing (enterprise / quote, no free plan disclosed), whereas Peec AI is listed at From $95/mo · Enterprise plan (subscription, no free plan disclosed).

How do HeyAmos and Peec AI compare on AI autonomy and moat depth?

On the MarTechRadar L1–L5 scale, HeyAmos is rated L3 · Conditional automation with a Proprietary moat moat (3.8/5.0), while Peec AI is rated L3 · Conditional automation with a Proprietary moat moat (3.7/5.0).

Which teams are HeyAmos and Peec AI built for?

HeyAmos is a Web SaaS product in GEO Brand Tracking & LLM Rank Tracking designed for SEO Directors, Brand Strategy Leaders, Growth Marketers. Peec AI is a Web SaaS product in GEO Brand Tracking & LLM Rank Tracking designed for B2B SaaS, Marketing Agencies.

What are the main limitations of HeyAmos vs Peec AI?

For HeyAmos: Operational considerations and platform boundaries include: Stochastic Answer Variance: Model stochasticity and real-time retrieval variability create fluctuation in visibility scoring, requiring statistical confidence intervals rather than deterministic rank tracking. For Peec AI: Operational considerations and platform boundaries include: Stochastic Output Drift: Model non-determinism and frequent temperature adjustments across underlying LLM providers can cause variance in brand mention tracking that reflects sampling noise rather than organic visibility shifts.

Excerpts are quoted verbatim from each fact-checked review. Last updated Oct 11, 2026.