The Marketing Stack That Doesn't Lose Your Customer Between Tools.
Most CMOs run on a 12-tool stack: ESP + SMS + push + content + analytics + CDP + attribution + competitive intel + 4 more. Each one knows half the customer. Each one's AI bolt-on hallucinates because it doesn't see the order history or the support ticket. Aeion unifies the marketing stack — Marketing + Content + Aeionica brand intel + BI + AI — on the same customer record as Commerce + CRM + Helpdesk. The personalization works because the AI actually reads the customer's life, not a half-extract.
What Aeion Delivers for the Marketing Function
Email + SMS + Push + In-App on One Engine
Campaigns, automations, transactional sends, A/B tests, audience segmentation — all on the same Marketing module. No separate ESP / SMS / push contract. One audit log, one delivery analytics dashboard, one budget. Read Marketing →
Audience Segmentation on Live Data
Segment by any field on any collection. "Customers who bought product X but not Y in last 90 days AND opened last 3 emails AND haven't filed a support ticket" is a one-query segment. No CDP, no nightly ETL, no stale extracts.
AI Content Generation, Per-Channel
One AI marketing skill drafts headlines, subject lines, body copy, push notifications, and social-media variants. A companion content skill optimizes SEO meta, tone, and multilingual versions. All of it runs under per-tenant cost caps, so creative volume never turns into a surprise bill. Read Claw →
Aeionica — Brand & Creative Intelligence
Brand voice consistency scoring, competitive monitoring, creative-asset versioning, AI-generated brand-aware variants. The "did we say this with our voice" check that prevents AI from going off-brand. Read Aeionica →
Real-Time Marketing Analytics
Campaign performance, channel attribution, cohort retention, LTV-by-segment, content engagement — all live from the source database. No Mixpanel/Amplitude/Heap nightly delay.
Personalization That Reads The Whole Customer
The cart-recovery agent references prior purchases. The upsell agent considers loyalty tier. The win-back campaign sees support-ticket sentiment. Personalization is genuine because the AI reads the full customer record, not a CDP extract.
Content Authoring + CMS Native
Block-based content editor, multi-language localization, content versioning, A/B variant testing, schedule + auto-publish. Same blocks render on marketing pages and email templates. Read Content →
Compliance + Deliverability Native
SPF/DKIM/DMARC management, suppression-list compliance, CAN-SPAM + GDPR + CCPA opt-out handling, A2P 10DLC SMS registration. Deliverability scoring across channels. No separate Mailgun + Twilio + compliance vendor.
The Personalization Story — Why Aeion's AI Beats Klaviyo's
Every modern marketing stack pitches "AI personalization." Most can't actually personalize because their AI doesn't have the data.
Klaviyo's AI sees: email engagement, your Shopify orders (via integration), abandoned-cart events. Doesn't see: support tickets, CRM deal stage, NPS responses, loyalty tier history, in-app behavior.
Customer.io's AI sees: in-app events, segmentation, journey behavior. Doesn't see: orders, support history, CRM context, content engagement, attribution chain.
Aeion's AI sees: every Commerce order, every CRM contact + deal, every Helpdesk ticket, every Inbox email, every loyalty + affiliate event, every Marketing campaign result, every content piece engaged with. Because everything lives in the same DB.
Concrete example: a win-back email.
``` Klaviyo's win-back email: "We miss you! Come back and use code WELCOME10 for 10% off." (Personalization: first name, last purchase date)
Aeion's win-back email (AI-generated): "Anya, we noticed it's been 4 months since your last order of the matte-black sneakers. We just released them in a new colorway that matches the joggers you bought in October. You also have $40 in unused loyalty rewards expiring next month. Want me to pre-fill a cart with the colorway in your size and apply the rewards? Reply YES." ```
The difference: Klaviyo only knows recency-based segmentation. Aeion knows the customer's actual buying pattern, current loyalty balance + expiration, and content engagement signals — because the same agent reads from Commerce + Loyalty + Marketing in one query. Open rate +180%, conversion rate +340% in customer A/B tests.
The Year-Plan a CMO Actually Builds
Most CMO-tier plans get derailed by integration delays. Here's what a year-plan looks like with Aeion's stack vs typical bolt-on.
Q1 — Foundation (your year-plan reality):
``` Bolt-on stack: contracts negotiated with 4 vendors (Klaviyo, Contentful, Mixpanel, Customer.io). Integration team starts wiring webhooks. Marketing campaigns launch on minimum-viable configuration.
Aeion: Marketing + Content + BI activated day 1. First campaign live in week 2. AI-generated content reviewed + scheduled in week 3. ```
Q2 — Personalization push (your investor's "AI strategy" promise):
``` Bolt-on stack: still wiring the Customer.io ↔ Salesforce ↔ Shopify integration. CDP vendor enters the picture ($100K+/yr). AI personal- ization is "in evaluation."
Aeion: 9 commerce-AI agents auto-firing on every order / cart / sub- scription event. Cart-recovery sequences personalizing on live data. Content-AI generating multilingual variants. Done. ```
Q3 — Scale (your CFO's pressure):
``` Bolt-on stack: tooling costs hit $300K+/yr. Klaviyo per-contact pricing escalating with list growth. ESP deliverability concerns. CDP usage metering adds surprise charges.
Aeion: flat per-module pricing unchanged. AI provider costs scale linearly with usage but per-tenant cost caps prevent surprises. Content scales across languages via AI translation. ESP deliverability tracked native. ```
Q4 — Attribution + reporting (your board's question):
``` Bolt-on stack: attribution from 4 sources stitched in Mixpanel, discrepancies between Salesforce and Klaviyo conversion data, the "single source of truth" is in nobody's tool.
Aeion: every customer event lives in one place. Attribution chain is a single query away. Board reports are auto-drafted by the executive AI skill from real numbers. CMO + CFO see the same dashboard. ```
The marketing year-plan that competitors take 12 months to assemble, you ship in 8 weeks because no integration delays.
Marketing Wins Beyond the Stack Consolidation
One audit log for compliance
GDPR opt-out, CAN-SPAM unsubscribe, and CCPA delete-my-data requests all flow through one system instead of three.
Brand voice consistency
Aeionica's brand-aware AI rejects off-voice copy before it ever reaches publish.
A/B test velocity
Same audience pool, same delivery, same analytics — variants ship in minutes instead of a sprint.
Multi-language scale
Content, email, and SMS all support internationalization natively, no separate localization vendor.
Real-time CAC + LTV
Every cohort metric is live from the source data, not a dashboard refreshing on someone else's schedule.
Per-channel attribution clean
One event bus feeds one attribution model, so there's one number everyone in the room agrees on.
No more "data team please extract" requests
Marketing queries live data directly — no ticket, no wait.
AI cost capped, not exploding
Per-tenant budgets keep marketing-AI spend predictable, however much content you generate.
Brand Intelligence — What Aeionica Adds That Bolt-Ons Don't
Most marketing AI assumes you have one customer voice. Most enterprise brands have 3-12 (product line, geo, audience segment, B2B vs B2C). Aeionica is the brand-aware layer that keeps AI-generated copy aligned.
What it does:
- Brand voice fingerprinting: Upload your last 50 pieces of content, social posts, ad copy. Aeionica extracts your brand's tone, register, lexicon, syntax patterns.
- AI variant scoring: Every AI-generated piece gets a brand-fit score (0-1). Below threshold = auto-rejected.
- Competitive monitoring: Tracks competitor announcements, content drops, ad spend signals. Surfaces opportunities + threats in the daily brief.
- Creative-asset versioning: Every brand asset (logos, color palettes, voice guidelines, image variants) versioned + tagged. The AI knows what brand-current is.
- Multi-brand support: B2B SaaS with a developer-tools brand AND an enterprise brand. Different voice fingerprints, different AI variants, same admin UI.
Why it matters at scale. A growth-stage company generating 100+ pieces of AI-assisted content per week needs structural brand consistency, not "we'll check it post-hoc." Aeionica is the layer that says "this AI variant is on-brand" before publish, not after the social-media manager catches the off-tone tweet.
CMO questions
Yes — Aeion Singularity ships connectors for Klaviyo, Customer.io, Mailchimp, Iterable, Braze. Imports lists, segments, automation logic, content templates, historical send data. Most migrations take 2-3 weeks for technical migration + 2-4 weeks for team retraining.
Aeion Marketing uses your chosen delivery infrastructure (Mailgun, SendGrid, Postmark, Resend) for actual delivery. Aeion manages the segmentation, automation, content. So your deliverability story is your existing provider's; Aeion improves the marketing operations layer above it.
Aeion Connect handles A2P 10DLC registration with carriers (T-Mobile, Verizon, AT&T). One registration per brand. No separate Twilio compliance contract needed. TCPA-compliant opt-out flows native.
Yes — Aeion Content + Marketing support 30+ languages with AI-generated variants. The Aeionica brand-fit scoring runs per-language. Audience segmentation by locale. Per-language SPF/DKIM domains supported.
Aeionica brand-fit scoring runs on every AI-generated draft. Below threshold = auto-rejected; in middle range = flagged for human review; above threshold = approved for one-click publish. Your senior content lead's edits feed back into the voice fingerprint over time.
Aeionica monitors competitor websites, ad copy, content drops, press releases, social-media signals. Surfaces in the daily marketing brief. Doesn't replace specialist tools like Brandwatch for sentiment-at-scale but covers ~80% of competitive monitoring use cases.
Yes — Aeion's API exports + imports cleanly. Many customers run Aeion-as-marketing + existing CDP for a transition period. The data unification advantage diminishes (you're back to extracts) but the platform consolidation savings remain.
Native connectors for Google Ads, Meta Marketing API, TikTok Marketing API. Sync audiences (Custom Audiences, Lookalike), pull spend + attribution back into Aeion BI. Bid management is your existing ad platforms — Aeion is the marketing-ops layer, not a bid manager.
Aeion Marketing is one flat-priced module ($49/mo, unlimited users, 14-day free trial) — there's no separate lower tier because there's nothing to gate down to. At smaller team sizes, you can use it purely for transactional sends (receipts, password resets, notifications) and simply not touch the campaign management features; the price doesn't change either way.