EZ Life Solutions · AI-Exit-Audit Launch cohort — 10 slots Pre-order — $1,995

Online-business M&A · 2026

Every online business that changes hands now gets one of three labels.

AI-native Trades at a premium AI-resilient Defends its multiple AI-exposed Takes the discount

The exposed get discounted. The AI-Exit-Audit settles, with evidence, which label the deal deserves — before the other side of the table settles it for you.

This isn't a forecast. Marketplace reporting already classifies digital assets in exactly these terms, forecasts premiums at one end and discounts at the other, and publishes AI-era due-diligence playbooks for buyers. Seven scored dimensions. Fourteen days. Evidence a negotiation can't wave away.

I'm selling — defend the price → I'm buying — grade the target →

$1,995 · 10-slot launch cohort · delivered in 14 days · money-back guarantee

The repricing

What the exposed label costs.

Content-site multiples — long quoted around 30–40× monthly profit — compressed after generative AI arrived, and marketplace data puts the fall in content-site deal volume after the recent search shifts at roughly a third. Buyers didn't stop buying; they started pricing AI risk into every offer. The discount is already in the room. The only question is whether it survives contact with evidence.

Asking price — worked example listing$500,000
AI-risk discount buyers apply to exposed assets−20% to −40%
Left on the table$100,000 – $200,000
The audit that contests the label$1,995

Market facts per public marketplace reporting, 2024–2026. Worked example, not a promise: we don't certify outcomes — we certify evidence quality and findings. The arithmetic above is simply why the evidence is worth having.

Buying instead? Same arithmetic, other direction: $1,995 is the smallest line item in six-figure diligence — and the only one pointed at the risk that can zero the asset.

Two sides · one engine

Same audit engine. Pick your side of the table.

Both offers score the same seven dimensions. What changes is what the report is built to do for you.

If you're selling

AI-Resilience Exit Audit

Buyers will discount or walk over AI risk — and right now you can't articulate why they shouldn't. Every unanswered week, the same line sits in someone's deal memo: couldn't a competent team with frontier models rebuild this in a quarter?

You're listing, or preparing to list, at a $100K–$2M ask. The audit scores your exposure across all seven dimensions, hands you a 30/60/90-day hardening roadmap — what diligence will flag, fixed before it's flagged — and arms your data room with a buyer-facing AI-Resilience one-pager. So diligence defends your multiple instead of dismantling it.

If you're buying

AI-Risk Deal Scan

You're about to wire six figures for a business AI might gut inside two years — and the standard diligence checklist still has no AI section.

Individual acquirer, search fund, or micro-PE bidding in the $100K–$5M range: the scan grades the target across the same seven dimensions, separates deal-breakers from price-adjusters — each with the exact diligence question to put to the seller — and maps the AI-leverage upside you could underwrite in year one. Downside protection and negotiation ammunition, priced per target.

Methodology · the AI-Resilience Score

Seven dimensions. One weighted score. Every claim cited.

Each dimension: a 0–100 score · evidence bullets specific to the business · findings ranked by severity

The composite is the AI-Resilience Score — but the score is the least of it. What moves negotiations is the evidence underneath: specific, citable, checkable.

  1. Traffic & demand durability

    Where revenue-driving attention actually comes from — organic search versus direct, brand, and community — and how exposed it is to AI Overviews and zero-click results. The dimension that repriced content sites.

  2. Moat vs. AI replication

    What stops a competent team with frontier models from cloning the value proposition in a quarter: proprietary data, network effects, integrations, workflow lock-in, switching costs. "An LLM wrapper could do this" is the buyer's default — this dimension is the counter-evidence, or the confirmation.

  3. Platform & API dependency

    Single-platform rug-pull risk: automation bans, API lockdowns, app-store sherlocking, model-provider roadmap collisions. Scored on criticality × substitutability × terms-of-service posture.

  4. Revenue quality under AI

    Churn trajectory and pricing-model exposure: per-seat pricing while AI shrinks seat counts, cost-plus pricing while AI deflates the cost. Which customer jobs AI substitutes — and which it augments.

  5. Operational AI leverage

    The upside dimension. Which cost lines — content, support, ops — AI compresses, and the margin expansion a buyer can underwrite. This is what turns the report from defense into a value-creation story.

  6. AI-native competitive pressure

    Funded AI-native entrants in the category, incumbents shipping AI features, and feature-parity collapse — categories where the premium tool's edge quietly became a commodity.

  7. Data & compliance posture

    Rights to the data the business runs on, training-data provenance, privacy exposure, and the AI-regulatory surface in sensitive verticals like health and education.

The artifact

What a finding looks like.

Below is the report format, cropped to one finding. The business is fictional — the stamp says so — but every real report reads exactly like this: score, evidence, finding, action.

EZ Life Solutions Corp. · AI-Exit-Audit Page 6 / 14
AI-Resilience Exit Audit — Example Co. Confidential
Illustrative sample
fictional business
Dimension 3 of 7 — Platform & API dependency Score 41 / 100

Evidence

  • 68% of new trials originate from a single Chrome-extension marketplace listing; no other acquisition channel exceeds 9%.
  • The core enrichment feature depends on one third-party API with no fallback — and the provider's public roadmap lists an overlapping first-party feature.

Finding 3.2 · Severity: High · Price-adjuster

Distribution and product both hang on platforms the business doesn't control. A buyer will price this as compound platform risk — unless a second proven channel exists before listing.

Fix — from the 30/60/90 roadmap (seller edition)

Stand up direct onboarding and email capture on the docs domain. Target: no single channel above 50% of new trials within 60 days.

Diligence question (buyer edition)

"Show me trial volume by channel for the last six months. What happens to CAC the week the extension listing is delisted?"

— Excerpt ends · the full report runs 12–18 pages across all seven dimensions —

Illustrative sample: the business above is invented. The format, scoring, and severity language are exactly what you receive — about yours.

What you receive

Three artifacts, built for your side.

The seller package — defend the multiple before diligence tests it.

  1. Scored report — seven dimensions, 12–18 pages

    Evidence-based scores across every dimension above, with findings ranked by severity. Written to survive a skeptical read.

  2. Fix roadmap — 30/60/90 days

    Actions ranked by multiple-impact versus effort: what diligence will flag, fixed before it's flagged.

  3. Buyer-facing AI-Resilience one-pager

    The data-room artifact: scores, verified strengths, and honest risk disclosure with mitigations. Built to be handed to a buyer mid-negotiation.

The buyer package — grade the target before you wire.

  1. Scored report on the target — seven dimensions, 12–18 pages

    The same evidence-based scoring, run against the business you're bidding on.

  2. Red-flag register

    Deal-breakers separated from price-adjusters — each with the exact diligence question to put to the seller.

  3. AI-upside map

    What you can automate or compress in year one — the post-acquisition leverage plan, and the reason to do the deal at the right price.

Process

Fourteen days, three steps.

  1. Days 0–2

    Intake

    A 45-minute operator interview, read-only access where applicable — GA4 or Plausible, Stripe or store metrics, Search Console — and a tech-and-dependency questionnaire.

  2. Days 3–10

    Analysis

    Channel data pull, replication assessment, category scan, dependency mapping. Every finding tied to evidence you can check.

  3. By day 14

    Delivery

    The full report, plus a 30-minute walkthrough call to work through the findings and what to do with them.

Analyst-led, AI-assisted — the same leverage we audit for.

The launch cohort

Ten slots. Fourteen days. $1,995.

This is a pre-order: delivery within 14 days of purchase, and the cohort is capped at ten audits because each one is real analyst work. When the slots are gone, the cohort closes.

For sellers

AI-Resilience Exit Audit

Defend the multiple before diligence tests it.

  • Scored report — seven dimensions, evidence-based, 12–18 pages
  • Fix roadmap — 30/60/90-day actions ranked by multiple-impact vs. effort
  • Buyer-facing one-pager — the data-room artifact for mid-negotiation
$1,995 One-time · pre-order
Pre-order the audit — $1,995

Secure Stripe checkout · delivered within 14 days of purchase

For buyers

AI-Risk Deal Scan

Grade the target before you wire.

  • Scored report on the target — seven dimensions, evidence-based, 12–18 pages
  • Red-flag register — deal-breakers vs. price-adjusters, with diligence questions
  • AI-upside map — the year-one leverage plan behind the right price
$1,995 Per target · pre-order
Pre-order the scan — $1,995

Secure Stripe checkout · delivered within 14 days of purchase

The guarantee

If your report doesn't surface at least three material, actionable findings, you get a full refund. We certify evidence quality, not outcomes — so the risk of a thin report is ours, not yours.

Launch cohort: 10 audits total across both offers · first come, first scheduled

Straight answers

Fair questions.

Why should I trust a firm I've never heard of?

You shouldn't — on faith. That's why the full methodology is published on this page, the sample above shows the exact artifact you'll receive, and the guarantee moves the risk of a thin report onto us. You'll also notice there are no testimonials or client logos here: this is our launch cohort, and we'd rather show you the method than invent social proof. It's priced and capped accordingly.

Is this financial, legal, or investment advice?

No. The audit is an operational and technical assessment of AI exposure. It doesn't value your business and it isn't a fairness opinion or investment recommendation. It's built to slot into your existing process — alongside your broker, accountant, and lawyer — not to replace it.

What counts as a "material finding" for the guarantee?

Specific, evidence-backed, and actionable: something you would fix, disclose, negotiate over, or walk away because of. "AI is changing things" is not a finding. If fewer than three findings in your report meet that bar, you get a full refund.

What kinds of businesses does this fit?

Online businesses in the $100K–$5M deal range: content and SEO sites, niche SaaS, e-commerce, productized agencies, info products. If the revenue depends on the internet, the seven dimensions apply. If we look at your intake and conclude the audit won't be useful for your case, we'll say so and refund you before the work starts.

What access do you need, and what happens to my data?

Read-only, and only where applicable: analytics (GA4 or Plausible), revenue (Stripe or store metrics), and Search Console, plus the 45-minute interview and a questionnaire. Buyers usually share what the seller has already disclosed in the deal room. Revoke access the moment delivery is done; everything we see stays confidential, and we'll work under NDA on request.

When do I pay, and when does it start?

Payment reserves your cohort slot now. Intake starts within two business days of purchase, and the report is delivered within 14 days of purchase — with a 30-minute walkthrough call included.

What if the audit comes back bad — or great?

Both are wins. Bad: you found out before the buyer did, with a 30/60/90 roadmap for the fixable parts and honest language for the rest. Great: the report becomes your data-room one-pager — documented evidence that the resilient label is deserved, which is the cheapest negotiating leverage you'll ever buy. For buyers, the equivalent: a red flag caught pre-wire pays for the scan many times over, and a clean scan is conviction to bid.