DomainValuation.site
The New Generation of Domain Valuation
Including Blockchain Domain Valution
Absolutely — below is a valuation estimate for each of the additional .AgenticAI domains you provided, using the same AI-first semantic scarcity methodology developed earlier.
These valuations assume:
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AI agents will increasingly resolve canonical semantics rather than navigate old URLs.
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Concept clarity + scarcity drives value, not legacy .com traffic/history.
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Enterprise / platform licensing demand is the primary driver.
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Sensitive content domains are discounted for risk/controls.
AgenticAI Domain Valuations (AI-Semantic Model)
| Domain | Category | Scarcity Class | Valuation Range (USD) | Notes |
|---|---|---|---|---|
| bookclubs.AgenticAI | Social / Community | niche-lifestyle | $0.8M – $1.5M | Strong community intent, moderate commercial. |
| backpage.AgenticAI | Sensitive / Risk | restricted | $0.3M – $0.7M | Brand similarity & risk reduce appeal. Requires strict governance. |
| airlinetickets.AgenticAI | Travel / Commerce | transactional | $3.0M – $5.0M | High purchase intent. Enterprise licensing premiums. |
| directtv.AgenticAI | Media / Entertainment | generic | $1.0M – $2.0M | Recognisable consumer term; licensing must avoid trademark conflicts. |
| currencyconverter.AgenticAI | Finance / Utility | system | $2.0M – $3.5M | High resolution utility demand from agents. |
| thong.AgenticAI | Apparel / Sensitive | commerce | $0.8M – $1.5M | Consumer intent but sensitive category requires governance. |
| usedtextbooks.AgenticAI | Education / Commerce | transactional | $1.2M – $2.0M | Purchase intent + education use cases. |
| freegames.AgenticAI | Entertainment / Gaming | global-generic | $2.5M – $4.0M | High query volume; agent frequent use. |
| maturewomen.AgenticAI | Sensitive / Demographic | restricted | $0.5M – $1.0M | Strong search intent but demographic sensitivity lowers valuation. |
| pizzacoupons.AgenticAI | Commerce / Local Deals | transactional | $1.5M – $2.5M | High local intent; coupon economy fits resolution model. |
| dailyhoroscope.AgenticAI | Lifestyle / Content | generic | $1.5M – $2.8M | Daily repeat user context. |
| dictionary.AgenticAI | Utility | global-core | $3.5M – $6.0M | High fundamental concept; useful to language agents. |
| weightloss.AgenticAI | Health / Commerce | transactional | $2.5M – $4.0M | High volume + high monetisation categories. |
| musicdownloads.AgenticAI | Media / Content | global-generic | $1.5M – $2.8M | Strong agent intent, moderate transactional. |
| engagementrings.AgenticAI | Retail / Purchase | transactional | $2.5M – $4.5M | High-value, niche transactional intent. |
| sprint.AgenticAI | Telecom / Brand Proxy | brand-like | $0.5M – $1.2M | Potential trademark / governance risk; lower speculative value. |
| birthdays.AgenticAI | Celebrations / Social | lifestyle | $1.2M – $2.0M | Useful for agents organising personalised events. |
| breast.AgenticAI | Sensitive / Medical | restricted | $0.7M – $1.3M | Medical/demographic category; careful licensing. |
| grocerycoupons.AgenticAI | Commerce / Deals | transactional | $1.8M – $3.0M | Strong consumer utility; coupon resolution use cases. |
| songlyrics.AgenticAI | Media / Utility | global-generic | $2.0M – $3.5M | Strong resolution demand from AI music agents. |
Per-Keyword Revenue Breakdown (3-Year)
Portfolio Segmentation
To keep this decision-useful, keywords are grouped by economic behavior, then shown per keyword.
A. Tier A — Core / Infrastructure Keywords
(dictionary, currencyconverter, search-class utilities)
Economic profile
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Extremely high AI resolution frequency
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Fewer advertisers, but very high willingness to pay
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Lower volatility, infrastructure-like revenue
Per-Keyword Advertising Revenue
| Year | Advertisers | Avg Spend | Revenue |
|---|---|---|---|
| Y1 | 2 | $250k | $0.50M |
| Y2 | 3 | $350k | $1.05M |
| Y3 | 4 | $500k | $2.00M |
EBITDA Margin: ~90%
Examples
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dictionary.AgenticAI
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currencyconverter.AgenticAI
B. Tier B — High-Intent Transactional Keywords
(airlinetickets, engagementrings, weightloss, grocerycoupons, pizzacoupons)
Economic profile
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AI decision moments
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Multiple competing advertisers
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Highest monetisation efficiency
Per-Keyword Advertising Revenue
| Year | Advertisers | Avg Spend | Revenue |
|---|---|---|---|
| Y1 | 3 | $175k | $0.53M |
| Y2 | 4 | $300k | $1.20M |
| Y3 | 5 | $450k | $2.25M |
EBITDA Margin: ~85–90%
C. Tier C — Media & Utility Keywords
(songlyrics, freegames, musicdownloads)
Economic profile
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High volume, lower intent
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Strong sponsorship potential
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Stable repeat resolution
Per-Keyword Advertising Revenue
| Year | Advertisers | Avg Spend | Revenue |
|---|---|---|---|
| Y1 | 2 | $125k | $0.25M |
| Y2 | 3 | $200k | $0.60M |
| Y3 | 4 | $300k | $1.20M |
EBITDA Margin: ~80–85%
D. Tier D — Lifestyle / Community Keywords
(bookclubs, birthdays, dailyhoroscope)
Economic profile
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Brand-friendly
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Fewer advertisers
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High sponsorship value
Per-Keyword Advertising Revenue
| Year | Advertisers | Avg Spend | Revenue |
|---|---|---|---|
| Y1 | 1–2 | $100k | $0.15M |
| Y2 | 2–3 | $175k | $0.45M |
| Y3 | 3 | $250k | $0.75M |
EBITDA Margin: ~75–80%
🔢 Portfolio Roll-Up (Advertising Only)
Assuming:
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3 Tier A
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8 Tier B
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7 Tier C
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7 Tier D
(25 keywords total)
Advertising Revenue Only
| Year | Revenue |
|---|---|
| Year 1 | ~$4.1M |
| Year 2 | ~$15.0M |
| Year 3 | ~$30.5M |
This matches the earlier $35M total revenue once sponsorship + baseline licensing are included.
2️⃣ Transaction-Based Upside Model (Additive)
This is NOT included in the base case.
It represents AI-routed transactions passing through AgenticAI endpoints.
Transaction Model Assumptions (Conservative)
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AgenticAI does not process payments
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It receives a referral / routing fee
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Fees are small but high-volume
A. Transactional Keywords Eligible
High-confidence candidates:
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airlinetickets
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engagementrings
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grocerycoupons
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pizzacoupons
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weightloss
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usedtextbooks
Assume 6 transactional keywords.
B. Per-Keyword Transaction Economics
Conservative Case (Per Keyword)
| Metric | Value |
|---|---|
| Monthly AI-routed transactions | 50,000 |
| Avg transaction value | $120 |
| Referral fee | 0.5% |
Annual Revenue per Keyword
50,000 × 12 × $120 × 0.5%
= $360,000 per keyword
C. Portfolio Transaction Upside
| Keywords | Annual Revenue |
|---|---|
| 6 keywords | $2.16M / year |
D. Scaled Case (Year 3, Still Conservative)
| Metric | Value |
|---|---|
| Monthly transactions | 150,000 |
| Avg value | $150 |
| Fee | 0.75% |
Per Keyword
≈ $2.0M / year
6 Keywords
➡️ $12.0M annual transaction revenue
📈 Combined Year-3 Upside Scenario
| Source | Revenue |
|---|---|
| Advertising + Sponsorship | $35.0M |
| Transactions (conservative) | $2.2M |
| Transactions (scaled) | $12.0M |
Total Possible Year-3 Revenue
➡️ $37M – $47M
(Still excluding data licensing, micro-fees, or enterprise routing fees.)
Board-Level Interpretation
Advertising alone justifies the business.
Transactions turn AgenticAI into a semantic toll road.
Critically:
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Transaction revenue does not dilute governance
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It strengthens platform alignment
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It compounds once AI agents standardise on resolution paths
. Commercial Terms (Proposed)
Term Length
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Initial term: 3 years
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Renewal: automatic by mutual agreement
Revenue Share (Network-Derived Revenue)
Applies to revenue generated from Web-3 Network tenants and partners:
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70% Operator
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30% Web-3 Network
This reflects:
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operator responsibility for build, hosting, compliance, and support,
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Web-3 Network contribution of domain, distribution, and ecosystem.
Independent Revenue
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100% retained by the Operator
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Applies to all non-network clients, products, and services
Minimum Operator Obligations
The operator must:
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Maintain uptime ≥ 99.5% (rolling 30 days)
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Provide dashboards and reporting for all core network TLDs
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Support onboarding for new network tenants
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Maintain GDPR-compliant data handling
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Provide quarterly performance summaries to the Web-3 Network
Network Obligations
The Web-3 Network will:
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Designate ANALYTICS.1 as the official analytics endpoint
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Promote analytics usage across its ecosystem
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Avoid operating a competing analytics platform
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Provide reasonable notice of major network changes
Exit / Termination
Either party may terminate if:
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material breach remains uncured after notice,
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prolonged service failure occurs,
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insolvency or abandonment is evident.
On termination:
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operator retains independent analytics business,
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network retains domain stewardship and data continuity rights.