Business capabilityGrowth Marketing

AI-Native Growth Marketing

Reach the right peopleMake growth count

Who really needs your product? What will resonate with them? Where are opportunities being lost? ActelosAI connects audience insight, brand content and conversion data, using AI to help teams identify growth opportunities, prepare content faster and test what their investment actually changes.

Explore AI use cases Discuss your growth goals

AI-Native scenario preview

Channels and campaignsLead qualification feedbackPermitted conversion events

Example question

Why are more leads not bringing more of the right customers

Connect channels and content with permitted lead-quality feedback. Identify sources with high clicks but poor fit, and prepare audience and campaign adjustments.

Metrics to watch

Cost per qualified lead · Invalid lead share

Public brand factsCustomer questions and product informationSampled AI answers and citations

Example question

When customers ask AI, do they get accurate information about your brand and products

Review answers and citations for target questions. Find gaps in public brand facts, product information and FAQs, then prepare evidence-backed content revisions.

Metrics to watch

Brand citation rate for target questions · Brand fact accuracy

Pages and key eventsCustomer cohorts and consent preferencesTest and control results

Example question

Where do customers stop, and what would make their next step worthwhile

Use conversion paths and customer behavior to prepare page or lifecycle-message tests. Compare against a control group to separate incremental impact from changes that would happen anyway.

Metrics to watch

Qualified conversion rate · Retention over a defined period

Business value

Connect AI value to growth outcomes

From acquisition costs and content production to customer engagement, connect AI to measurable changes in the business.

Improve acquisition efficiency

−54%

Cost per admission, year over year

Connect campaign optimization to business conversions.

Reference detail

Online education case combining search matching, automated bidding and exclusions. A relative annual reduction, not percentage points or an isolated generative-AI effect. Full cost definitions and control design were not disclosed.

Respond faster with content

7 days

Image development cycle, down from 6 weeks

Assist production with generative AI while retaining brand, quality and compliance checks.

Reference detail

Payments-company self-report, including brand, quality and compliance checks. This measures image development, not an entire campaign. Full sampling, statistical methods and independent verification were not disclosed.

Reduce unnecessary messaging

100k

Fewer emails sent per week

Use purchase-propensity predictions to test which messages can be reduced.

Reference detail

Fitness-app multivariate test excluding low-propensity users, with no observed conversion decline. Full controls, observation period and significance were not disclosed. This combines predictive modeling and messaging strategy, not generative AI alone.

Figures come from specific cases and research and are provided for reference only; actual results vary with business and data conditions.

AI use cases

Six use cases connecting brand and customer growth

From understanding demand and earning attention to meaningful action and continued use. These are AI-Native directions to explore and build around your business, data and existing systems.

Understand who needs your value most

Which audiences have a real need, rather than just a higher likelihood to click

Use AI to organize permitted interviews, search demand and market feedback into needs, usage contexts and buying concerns. Compare audience hypotheses with behavioral data and prepare value messages to test, without relying only on today's most frequent customers.

Connected data: Permitted interviews and market feedback, search demand, audience and conversion data
What it enables: Audience needs map, value messages and validation priorities

Improvement direction

Effective target-audience reach ↑
Qualified lead rate ↑

Optimize campaigns around lead quality

Which channels bring the right leads, and which only look busy

Connect channel costs with permitted qualification feedback and downstream conversions. Use models to identify quality differences and AI to summarize keyword, audience and creative hypotheses. Prepare test and budget recommendations for team approval, without automatically increasing spend.

Connected data: Channel costs, campaign and creative tags, qualification feedback, permitted conversion data
What it enables: Channel-quality comparison, optimization hypotheses and small-scale test plan

Improvement direction

Cost per qualified lead ↓
Invalid lead share ↓

Create distinctive brand content faster

How can growing content demands be met without losing accuracy or brand consistency

Use approved brand facts, tone and assets to prepare copy, visual briefs and localized variants with generative AI. Select versions through fact checks, asset-rights checks and human review, then test how different messages perform.

Connected data: Brand guidelines, approved product facts, usable assets and content performance
What it enables: Review-ready content variants, channel adaptations and fact-check records

Improvement direction

Time to approved content ↓
First-pass content approval rate ↑

Help AI represent your brand accurately

How is your brand described in AI answers, and what important information is not cited correctly

Repeatedly sample answers and citations for target questions, checking public brand facts and page accessibility. Prepare sourced product information, FAQs and structured content, then track changes in citations and accuracy without promising control over model answers.

Connected data: Target question set, public pages and product facts, answer samples logged by model and time
What it enables: GEO content gaps, page-revision recommendations and answer-observation log

Improvement direction

Brand citation rate for target questions ↑
Brand fact accuracy ↑

Help visits become meaningful action

Once people arrive, why do they not take a valuable next step

Combine event paths, page content and permitted feedback. Use AI to propose information gaps and friction hypotheses, then prepare copy and page variants. Compare qualified conversions in predefined A/B tests, while checking downstream lead quality, refunds and other guardrails.

Connected data: Page and event data, permitted feedback, conversion definitions and test assignments
What it enables: Conversion-friction hypotheses, page-test variants and experiment interpretation

Improvement direction

Qualified conversion rate ↑
Cost per qualified conversion ↓

Offer the next step when it matters

Who needs onboarding help, who should hear from you again, and who needs fewer messages

Use behavioral data and predictive cohorts to identify activation, retention and repeat-purchase opportunities. Generate relevant message drafts and timing recommendations. Test within consent and frequency limits, keeping a no-contact holdout to measure incrementality rather than open rates alone.

Connected data: Permitted key behaviors, transactions and usage, consent preferences, opt-outs and contact history
What it enables: Lifecycle cohorts, message drafts and incremental-impact test recommendations

Improvement direction

Retention over a defined period ↑
Incremental repeat-purchase rate ↑

Arrows indicate intended improvement, with targets set against business baselines and controlled tests. Impressions, clicks and AI citations are not sales; GEO does not guarantee rankings or model recommendations. Accountable owners approve budgets, publication and outreach, subject to consent, opt-outs and frequency limits.

GEO within Growth Marketing

Help AI answers represent your business accurately

GEO is one part of Growth Marketing, alongside audience insight, content and conversion work. Generative engine optimization connects the questions buyers ask with accurate public information about your business. ActelosAI reviews those answers and sources, then identifies content and page improvements to consider.

What can a GEO engagement cover

An agreed scope can include a target question set, a review of public brand and product facts, sampled AI answers and citations, and prioritized page revisions. The starting point is a defined audience and buying decision. Markets and languages are selected for that scope rather than assumed to need identical content.

What do we receive

The agreed work can produce a GEO content-gap analysis, page-revision recommendations and an answer-observation log. Agree which pages will be revised, who will approve their facts and who will implement and maintain them before work starts.

How is progress measured

Record the question, language, platform or model and observation time, then review how accurately your brand is described and whether citations support the answer. Keep search visibility, sampled AI citations and qualified enquiries separate. A change in one sample does not establish a ranking, recommendation or revenue effect; model answers cannot be guaranteed.

Discuss your GEO and growth needs

Data & metrics

Give every growth decision a sound basis

Start with business goals and audiences, then align data and measurement definitions. Judge value through quality, incrementality and cost—not by treating model scores, clicks or attributed conversions as new revenue.

Audience and brand facts

Define target audiences, research samples and exclusions. Retain sources, versions and usage rights for brand facts. Fix GEO question sets, languages and sampling conditions so a few answers are not mistaken for whole-market performance.

Understand demand and make brand claims verifiable

Key-fact traceability · Effective target-audience reach · Brand fact accuracy

Content and channel performance

Align channels, campaigns, creative versions, costs and conversion windows. Remove bots and duplicate events. Record content reviews, asset rights and campaign restrictions so speed does not come at the expense of brand safety.

Balance content efficiency, quality and acquisition cost

Time to approved content · First-pass approval rate · Cost per qualified lead

Conversions and customer behavior

Check identity and event quality, using only permitted data. Predefine eligibility, periods, test assignments and stopping rules. Compare contact and holdout results while monitoring margin, opt-outs and complaints.

Separate incremental impact from conversions that would happen anyway

Qualified conversion rate · Defined-period retention · Incremental repeat-purchase rate · Opt-out rate

Relevant experience

Relevant experience and expertise

Partner experience · AI product and menu selection

CHAGEE

AI-powered product and menu selection

An AI product-selection platform supports CHAGEE’s product and menu development, helping teams evaluate new product options and make selection decisions.

Case study presented in collaboration with Gaoyan.

Explore the partner case

Relevant expert

Shaun Yang

Expert Partner, Consumer Goods Industry Lead

Shaun connects market insight, consumer signals and business data to support category strategy, product innovation, market entry and practical AI adoption in consumer goods and foodservice.

Meet Shaun

Which growth metric would you most like to improve

Start with one question: better-quality acquisition, more distinctive content, more accurate brand information in AI search, or less drop-off in conversion and retention. Together, we can identify what is worth doing first and how to test it.

Discuss your growth goals

With Actelos Delta, move from growth-opportunity assessment to a scoped pilot and team adoption.

Explore how we work