Which marketing tasks can generative AI handle?

Ad copy and variants, email subject lines and bodies, blog and landing-page drafts, social captions, product descriptions, SEO briefs, audience summaries, localisation and reporting narratives.

Can it write in our brand voice?

Yes. We build a brand voice profile from your guidelines and best content, then enforce it with prompts, examples and automated checks, with editors reviewing the output.

Can it personalise at scale?

Yes. Messages adapt to segment, lifecycle stage, behaviour and language, using your CRM and customer data, while respecting consent and privacy rules.

Can it create images and video?

Yes, where it fits your brand. We can integrate image, video and voice generation for concepts, variants and localisation, with human art direction and brand-safety review.

Will it replace our marketing team?

No. It removes repetitive production work so strategists, writers and designers can focus on ideas, brand and decisions. People stay in the approval loop.

Which AI models do you use?

We are model-agnostic and choose per task from leading commercial and open models, balancing quality, cost, speed and data-privacy requirements.

How do you stop the AI from making false claims?

By grounding generation in your approved product facts and claims, adding claim-verification checks, and requiring human review for regulated or sensitive content.

Can it plug into our martech stack?

Yes. We integrate with tools such as HubSpot, Salesforce, Klaviyo, Mailchimp, Shopify, WordPress, Google and Meta ads and your analytics and data warehouse.

How do you measure whether it works?

We set a baseline, then run controlled tests on open and click rates, conversion, cost per acquisition, content velocity and hours saved, and report the results.

Will AI-generated content hurt our SEO?

Quality is what matters. We focus on helpful, accurate, original content with expert review and clear editorial standards, and avoid thin or mass-produced pages.

Is our customer data safe?

Yes. We minimise and protect personal data, apply access controls, can deploy in your own cloud, and use model providers that do not train on your data by default.

Who owns the content and the models?

You do. Prompts, brand profiles, workflows and generated assets are yours. We document everything so your team can maintain and extend it.

What about copyright and originality?

We use similarity and plagiarism checks, avoid imitating specific creators, and recommend human review for anything published. Legal responsibility for published content remains with your organisation.

Do we need to disclose AI-generated content?

Rules vary by platform, region and industry. We help you set a disclosure policy that fits and build labelling into the workflow where it is required.

How do you handle regulated industries?

For sectors such as healthcare and finance we add stricter claim libraries, mandatory compliance review and audit trails. Final compliance sign-off stays with your legal team.

How long does implementation take?

A focused pilot, such as an email or ad-copy workflow, typically takes 4 to 8 weeks. Broader programmes across channels are phased over a few months.

How much does it cost?

Cost depends on the number of workflows, integrations, content volume and model usage. After the audit we provide a fixed-scope estimate for the pilot and a clear view of run costs.

Can we start with one channel?

Yes, and we recommend it. Prove results on email, ads or SEO first, then extend the same brand brain to other channels.

What ongoing costs should we expect?

Mainly model usage and platform fees, plus optional optimisation support. We keep costs visible with dashboards and use caching and smaller models where quality allows.

Do you train our team?

Yes. We run workshops, playbooks and office hours so marketers and agencies know how to brief, review and improve AI output.

Generative AI in Marketing

Generative AI that turns one brief into every campaign

Aarvexa builds brand-safe generative AI for marketing teams: copy, email, ads, SEO and social created in your voice, personalised for every audience and tested against real results.

On-brand content
1:1 personalisation
Measured results

Talk to our experts See how it works

Campaign StudioGenerating in your brand voice

Diwali sale for sneakers, playful tone, 40% off

LIVEGENERATIVE STUDIO01 / 07

EmailAdsSocialSEO

Campaign progress

AI step

Brief received

Assets today

3,640

12 / brief9s

Brand match

On voice, on claims

…pred. CTR

Generative AI CopywritingPersonalised EmailAd Creative VariantsSEO at ScaleBrand Voice ModelsA/B Testing with AIAudience SegmentationContent RepurposingProduct DescriptionsCampaign AnalyticsSocial ContentMarketing AutomationGenerative AI CopywritingPersonalised EmailAd Creative VariantsSEO at ScaleBrand Voice ModelsA/B Testing with AIAudience SegmentationContent RepurposingProduct DescriptionsCampaign AnalyticsSocial ContentMarketing Automation

What we build

Generative AI for every part of your marketing

From the first headline to the final A/B result, we build systems that create, personalise and learn, not just generate text.

Content

Content & Copy Generation

Blogs, landing pages, scripts and ad copy drafted in your brand voice in minutes, then polished by your editors.

CRM

Personalised Email & Lifecycle

Subject lines, bodies and send-time tailored to each segment, from welcome series to win-back flows.

Paid media

Ad Creative & Variants

Dozens of headlines, descriptions and angles per campaign, ready to test across Google, Meta and LinkedIn.

SEO

SEO & Content Strategy

Keyword clusters, briefs, outlines and refreshes that scale organic content without losing quality.

Social

Social & Community

Calendars, captions, replies and repurposed posts that keep every channel active and on-brand.

E-commerce

Product & Catalogue Copy

Thousands of unique, accurate product descriptions and category pages generated from your data feeds.

Insights

Audience Insights & Segmentation

Reviews, surveys and behaviour summarised into personas, themes and next-best-message ideas.

Brand

Brand Voice & Governance

A single assistant that enforces tone, claims, legal rules and approvals across every team and agency.

Live pipeline

How generative AI turns a brief into results

Five stages turn one idea into measured campaign performance. Hover to hold a stage, click to jump.

Step 01 of 5

Brief

Goal, audience, tone and offer go in once. The system turns them into a structured, reusable campaign brief.

Audience and persona context
Brand voice and do-not-say rules
Offer, channel and KPI targets

One brief, every channel

Where it applies

One brand brain, six marketing channels

Pick the programme that matches your business. We reuse the same proven brand-voice, generation and testing core.

A content engine, not a content bottleneck

Plan, draft, repurpose and refresh long-form content at scale, with editors keeping the final say on quality and voice.

Briefs and outlines from keyword data
Drafts in your brand voice
One idea into ten formats
Scheduled content refreshes

Plan this project

This monthContent studio

86%on-brand score

Drafts created148
Time saved62 h
Approved91%

Open report

Live campaign

Every asset tracked

Why Aarvexa

Creative scale without losing your brand

Generative AI only helps if the output is accurate, on-brand and tied to results. We pair modern models with brand governance, testing and analytics, so quality is measured, not assumed.

Who we work with

E-commerce brandsSaaS & softwareAgenciesHealthcare marketersReal estateEducation & EdTech

Brand-safe by design

Voice guides, approved claims and legal rules are built in, so outputs stay accurate and on-brand.

Tied to business results

We measure pipeline, conversion and cost per acquisition, not how many words the AI wrote.

Fits your martech stack

Connected to your CRM, email platform, CMS, ad accounts and analytics, so work flows without copy-paste.

Humans stay in control

Editors and strategists review, approve and steer, with the AI doing the heavy lifting.

Technology

A stack built for marketers, proven in campaigns

We choose the right tool for each layer, from the model to the monitoring dashboard, and swap parts when your platform changes.

Language models

ClaudeGPTGeminiLlamaMistralBrand-tuned models

Creative generation

Prompt librariesTemplate systemsImage modelsVideo modelsVoice modelsDesign tool APIs

Martech integrations

HubSpotSalesforceKlaviyoMailchimpShopifyWordPress

Data & analytics

GA4BigQuerySegmentLookerMeta & Google Ads APIsCustomer data platforms

Governance

Brand voice checksClaim verificationApproval workflowsPlagiarism checksPII redactionAudit logs

Brand safety & trust

Brand-safe, private and always approved

AI marketing is judged by what it publishes under your name. We design for that from day one.

Brand and claim guardrails

Every output is checked against your voice guide, banned phrases and approved claims before it reaches an editor.

Human approval workflows

Nothing publishes without the right reviewer. Roles, versions and sign-offs are tracked automatically.

Your data stays private

Customer data is minimised and protected, not used to train public models, and handled under consent rules such as GDPR.

Transparency and originality

Plagiarism and similarity checks, and clear AI-use labelling where regulations or platforms require it.

Our process

From first idea to a live AI marketing engine

Indicative timelines for a typical pilot. We confirm yours after discovery.

01Week 1

Audit & opportunity map

We review your content, campaigns, tools and team to find the highest-value places to apply generative AI.

02Week 1–3

Brand voice & knowledge setup

Voice guide, product facts, claims and examples turned into a reusable brand brain.

03Week 2–5

Build the content workflows

Briefs, generators, review steps and integrations assembled around your real campaigns.

04Week 5–9

Pilot & measure

Live tests against a control, with results measured on conversion, cost and time saved.

05Week 8–12

Train & roll out

Team training, playbooks and governance so marketers and agencies use it confidently.

06Ongoing

Optimise continuously

Learning loops, new use cases and model upgrades as results compound.

FAQ

Frequently Asked Questions

Straight answers on generative AI marketing: applications, technology, safety, cost and timelines.

It is the use of AI models that create text, images, audio and video, and also summarise data, to plan, produce and personalise marketing at scale: from ad copy and emails to SEO content and product descriptions.

Automation runs rules you define. Generative AI creates the content itself and adapts it to each audience, so you can produce and test far more variations than a team could write by hand.

We design and build generative AI marketing systems: brand voice models, content and campaign workflows, personalisation, testing loops, integrations with your martech stack and team training.

In-house marketing teams, agencies, e-commerce brands, SaaS companies and any business that needs more quality content and personalisation than its team can produce manually.

Book a free consultation. We audit your current marketing, show a live demo on your brand and propose a scoped pilot with measurable goals.

Let's build it

Ready to scale your marketing with AI?

Book a free consultation. We will show a live demo in your brand voice and map out a pilot you can test on your own campaigns.

Book a free consultation Explore our AI services