Marketing as the ATTRACT stage of your customer journey — connected to Sales, Customer Support, and Customer Success.

ATTRACT · STAGE 1

AI that learns what works, then does more of it.

Most marketing AI tools produce content that could have been written by anyone — for any company. We build a marketing system that knows your brand voice, watches your competitors, listens to your audience, and gets measurably smarter every campaign. The Brain compounds; generic AI does not.

10 minutes. We diagnose where your marketing is leaking the most leads and recommend the single workflow to graduate first.

BRAND-AWARE OUTPUT live
LinkedInbrand voice match: 94%

I was on a call with a 22-person practice in NJ…

Email subjectbrand voice match: 92%

The thing that worked wasn't 'AI'.

Blog headlinebrand voice match: 96%

Why most marketing AI fails — and what compounds instead.

Social captionbrand voice match: 91%

Calculated rollouts beat autonomous AI. Here's why.

Why most marketing AI tools fail.

The problem isn't that AI can't write. AI can write — fluently, instantly, in any format. The problem is that AI doesn't know your business. So everything it produces sounds like every other business using the same tool.

Plug ChatGPT into your marketing and you'll see the pattern within a week. The blog posts are competent and forgettable. The cold emails sound exactly like the ones your prospects are getting from your three biggest competitors. The social captions read like they were written by a committee of marketing interns. The voice is generic. The angles are predictable. The audience tunes out.

This isn't a model problem. It's an architecture problem. Without a system that captures your brand voice, your audience, your competitive landscape, your what-works pattern, and your historical performance — the AI is producing content for any company. Not for your company.

THE HUREKA APPROACH

Every marketing workflow runs on top of a Brand DNA document — captured during the Phase 1 consulting gate, before any workflow goes live. The Brand DNA deposits into the Brain. From then on, every workflow on this page pulls from it: your voice, your ICP, your competitive positioning, your top-performing themes, the words your customers actually use. The brand work isn't a separate purchase — it's the foundation that makes every workflow on this page possible.

What we automate, in plain English.

Seven workflow areas covering every channel mid-market businesses actually use to attract customers in 2026 — content, outreach, social, organic discovery (SEO + AEO/GEO), Google Business Profile, paid ads (Google + Meta), and the analytics layer that ties it all to revenue. Each one is a Lego block — independently buildable, independently measurable, independently valuable. Start with one. Add more when it pays for itself.

01

Content Creation

Writes blog posts, newsletters, landing pages, sales enablement materials, and case studies — in your brand voice, on a calendar tuned to your audience's behavior. Every piece is grounded in the Brand DNA document, the competitive landscape, and the topics your audience actually engages with.

INSIDE THE WORKFLOW

  • Brand DNA document defines voice, ICP, content pillars, banned phrases, preferred sources
  • Content calendar generated from product launches, seasonal cycles, and competitive moments
  • Draft creation with platform-native craft (LinkedIn ≠ blog post ≠ newsletter)
  • Internal review workflow — your team approves, edits, or rewrites; the system learns from every edit
  • Publishing on schedule with analytics feeding back into next month's calendar

TYPICAL RESULTS IN 90 DAYS

3–5× content output with the same team · 35% organic traffic lift (when paired with SEO workflow) · Sales team stops complaining about "no fresh content for prospects"

Illustrative typical-range numbers from project case study material.

02

Cold Outreach

Identifies ideal-customer-profile contacts, enriches them with company and contact data, drafts personalized outreach grounded in your case studies and value propositions, sequences follow-ups, and routes responses to your sales team with full context.

INSIDE THE WORKFLOW

  • ICP definition codified (industry, size, signals, exclusions)
  • Lead enrichment via integrated data sources (Apollo, ZoomInfo, LinkedIn Sales Navigator)
  • Outreach sequences drafted per-prospect using your case studies and pain-point library
  • Multi-channel cadence (email + LinkedIn + voicemail drop where applicable)
  • Response handling — interest signals routed to Sales with conversation context attached

TYPICAL RESULTS IN 90 DAYS

2–3× reply rates over generic templates · 40% reduction in BDR time per qualified meeting booked · Quality of meetings (not just quantity) improves measurably

Illustrative typical-range numbers from project case study material.

03

Social Media

Plans, writes, and schedules platform-native social content across LinkedIn, Facebook, Instagram, YouTube, and TikTok — in your voice, with the right hooks per platform, with a multi-stage review workflow that prevents the "AI-generated and obviously" failure mode.

INSIDE THE WORKFLOW

  • Trend listening surfaces opportunities the brand could ride (filtered for brand-fit)
  • Competitive analysis flags content themes worth pre-empting or countering
  • Platform-native drafts (LinkedIn long-form vs. Facebook short hook vs. Instagram carousel vs. TikTok script)
  • Mobile-first approval flow — one-tap approve, request edit, or reject with comment
  • Publishing handles assets, alt text, first comments, cross-posting rules

TYPICAL RESULTS IN 90 DAYS

4–6× publishing frequency with the same team · Engagement rates 1.5–2× generic-AI baselines · No more "the AI wrote it and it shows" feedback

Illustrative typical-range numbers from project case study material.

04

Organic Discovery: SEO & AEO/GEO

Gets your business found across both ways modern buyers discover companies — traditional Google search (SEO) and AI answer engines (AEO/GEO). Two sub-disciplines, one connected system, one underlying Brand DNA. Industry note: "Answer Engine Optimization" (AEO) and "Generative Engine Optimization" (GEO) refer to the same discipline — the industry uses the terms interchangeably. We use AEO/GEO throughout to acknowledge both.

SEO (Search Engine Optimization) — Be found in Google.

  • Keyword research grounded in your ICP's actual search behavior (not just volume metrics)
  • Content gap analysis vs. competitors — what topics you should own that nobody is owning yet
  • Pillar pages and supporting content cluster generation
  • Technical SEO audit and remediation
  • Backlink strategy and digital PR
  • Performance tracking with attribution back to leads and revenue

AEO/GEO (Answer Engine / Generative Engine Optimization) — Be cited by AI.

AI answer engines (ChatGPT, Perplexity, Google AI Overviews, Bing Copilot, Claude) are now the first place a growing share of buyers go. They don't return ten blue links. They return one synthesized answer with a few citation sources. AEO/GEO is the discipline of being one of those citation sources for queries in your category.

  • Content structured for AI extraction — clear declarative statements, structured headings, named entities, citation-friendly formatting
  • Schema markup that AI crawlers consume reliably (FAQPage, HowTo, Article, Organization)
  • Authority signals AI engines weight heavily — original research, named author bylines, third-party citations, omnichannel presence
  • Source-credibility optimization — being on the kinds of sites AI engines trust to cite from
  • Direct citation monitoring across major AI engines — when ChatGPT or Perplexity mention you, when they mention competitors, what's driving the difference
  • Reddit, YouTube, and forum presence where AI engines pull supporting context from

TYPICAL RESULTS IN 90 DAYS

30–50% organic traffic lift on target Google keywords · Cited as source in AI answer engines for 5–15 category-defining queries · Measurable share of new inbound arrives via AI engine referral ("ChatGPT suggested I look at you…") · "How did you hear about us?" answers start including "ChatGPT" and "Perplexity" alongside "Google"

Illustrative typical-range numbers from project case study material.

05

Google Business Profile & Local Discovery

For local-serving businesses (healthcare practices, professional services, retail, restaurants, home services, dental, legal, etc.), your Google Business Profile is often the single highest-impact discovery asset you have — yet the asset most often neglected or poorly maintained. We run it end-to-end, with the same Brain that powers the rest of your marketing connected underneath. When a customer types "[your category] near me" or "best [service] in [city]," Google's local pack and Maps results decide who they call.

INSIDE THE WORKFLOW

  • Profile end-to-end optimization — categories, services, products, hours, attributes, descriptions all complete and current
  • Photo and visual asset management — fresh photos on cadence, geotagged, optimized for local pack signals
  • Google Business posts published on schedule (offers, events, products, updates) — a ranking signal most businesses ignore
  • Review management — requests sent through the post-purchase workflow; incoming reviews monitored with response drafts for the owner's edit and send
  • Q&A management — common questions seeded and answered in your voice; new questions responded to within hours, not days
  • Local SEO ranking signals — NAP consistency across the web, citation building, local backlink strategy
  • Insights and attribution — calls, direction requests, profile views, photo views tracked and correlated with revenue
  • Competitor profile monitoring — what local competitors are doing, where you're losing ground
  • Highest-leverage for: medical, dental, law, accounting, real estate, restaurants, home services (HVAC/plumbing/electrical), retail with physical locations, auto repair, veterinary

TYPICAL RESULTS IN 90 DAYS

GBP views ↑ 50–150% · Calls from profile ↑ 30–80% · Local pack appearance rate ↑ measurably for category-defining searches · Star rating typically improves 0.4–0.8 points (e.g., Eastchester Family Medicine moved from 3.8 to 4.6) · Direction requests ↑ 40–100%

Illustrative typical-range numbers from project case study material.

06

Paid Advertising: Google & Meta

Runs your paid advertising on Google and Meta with AI-powered campaign management — continuous bid optimization, creative testing at scale, audience refinement based on actual customer data, and budget allocation tied to what's producing revenue (not just clicks). Hureka is a certified Google Partner. Most paid agencies optimize for the metric the platform reports back to them. The Brain knows what actually closed in your CRM — and optimizes for that.

Google Ads — Search, Display, YouTube, Performance Max, Shopping, Local Services Ads.

  • Account audit and benchmark establishment in week 1
  • Keyword research and negative-keyword discipline
  • Ad copy variants generated from your Brand DNA and case studies, tested continuously
  • Landing page alignment audits (most underperforming Google campaigns are landing page problems, not ad problems)
  • Performance Max campaigns with proper signal feeding (most accounts run PMax with the wrong signals and waste budget)
  • Local Services Ads optimization for service businesses
  • Conversion tracking tied to actual revenue, not just form fills

Meta Ads (Facebook + Instagram) — Conversion campaigns, retargeting, lookalike audiences, creative testing at scale.

  • Account structure rebuild where needed (most accounts are structured wrong for current Meta algorithms)
  • Conversion campaigns optimized to your highest-value customer events, not generic "Lead" events
  • Lookalike audiences built from your highest-value customers specifically (not just any customer)
  • Creative variant generation — AI generates ad variations from your Brand DNA; the system tests; winners scale
  • Retargeting flows segmented by funnel stage and engagement depth
  • Brand safety guardrails and placement controls

CROSS-PLATFORM

  • Cross-platform: true revenue attribution — every customer tracked back through every paid touchpoint, not just last-click
  • Cross-platform: budget reallocation monthly based on actual revenue produced (not platform-claimed conversions)
  • Cross-platform: negative budget pressure — campaigns that produce conversions but not revenue get cut quickly
  • Cross-platform: manager dashboard surfacing the decisions that matter, not the noise

TYPICAL RESULTS IN 90 DAYS

20–40% improvement in CPA within 60 days · 15–30% increase in conversion volume at the same budget · True revenue attribution clarifies which campaigns actually work (often surprises clients — the "best" platform-claimed campaign is sometimes the worst revenue producer) · Manager spends fewer hours optimizing inside platform dashboards, more on strategy

Illustrative typical-range numbers from project case study material.

07

Analytics & Attribution

Connects marketing activity to revenue. Tracks what's working, what's not, and what to do more of — without requiring your team to manually pull reports. Closes the feedback loop so the system gets smarter.

INSIDE THE WORKFLOW

  • Multi-touch attribution across channels (organic, paid, social, email, referral)
  • Campaign ROI calculation with revenue attribution back to source
  • Weekly executive marketing summary auto-generated with anomaly highlights
  • A/B test framework for content, subject lines, ad creative
  • Audience and segment performance reporting
  • Recommendations on budget reallocation based on what's actually producing pipeline

TYPICAL RESULTS IN 90 DAYS

First true cross-channel attribution your team has ever had · 20–30% improvement in marketing ROI through reallocation alone · Marketing meetings become decision-making meetings instead of report-pulling meetings

Illustrative typical-range numbers from project case study material.

Same prompt. Different output. The difference is the Brain.

Below: what generic AI produces vs. what a brand-aware system produces. Same hypothetical product, same prompt, same model underneath — the difference is everything your business knows about itself.

GENERIC AIChatGPT, no context

Prompt: "Write a LinkedIn post about how AI is helping mid-market businesses."

🚀 AI is revolutionizing how mid-market businesses operate! 🚀 From automating routine tasks to providing data-driven insights, AI is empowering small and medium-sized businesses to compete with industry giants. Key benefits: ✅ Increased efficiency ✅ Better decision-making ✅ Cost savings ✅ Improved customer experience Is your business leveraging AI? Drop a comment! 👇 #AI #BusinessGrowth #Innovation #Technology

Could be written by any consultant. Says nothing specific. The audience scrolls past.

BRAND-AWARE SYSTEMSame model + Brand DNA + history

Same prompt. Grounded in case studies, voice, audience behavior.

I was on a call last week with a 22-person medical practice in New Jersey. Their front desk was answering 200 calls a day. Their no-show rate was 18%. Six months later, their front desk volume is down 60%. No-shows are at 5%. The reception team didn't have to learn a single new system. The thing that worked wasn't "AI." It was a calculated rollout — one workflow at a time, with humans approving every output for the first two months, with audit trails on everything the system did. Most mid-market businesses I talk to are stuck because they're trying to skip that middle phase. They want autonomous AI. They don't yet have the operational guardrails to deploy it safely. The path forward isn't faster AI. It's better discipline.

Specific. Drawn from a real case study (Eastchester). Voice matches Roopak's actual writing. The audience reads to the end.

The model is the same. The prompt is the same. What's different is the context the system can pull from — your case studies, your voice, your competitive positioning, your audience behavior. This is what "brand-aware" actually means. And it's not a feature of generic AI tools. It's the architecture underneath.

Marketing doesn't end at the form fill.

In most companies, Marketing and Sales speak different languages. With a connected system, every Marketing event becomes Sales context — and vice versa.

MARKETING

A prospect downloads a white paper

SALES

When that prospect's name comes up on a sales call (current week or three months later), the Sales rep's pre-meeting brief shows the white paper was downloaded, what page the prospect spent the most time on, and which case studies in the document are most relevant to their company size.

MARKETING

A cold email campaign generates a reply

SALES

The system identifies which sequence variant won, what the prospect's specific reply indicated, and what the next-best-action is — then routes the prospect to Sales with all this context plus a draft response for the rep to send or edit.

SALES

A closed-won deal feeds back into marketing

MARKETING

The customer is removed from prospect nurture sequences and added to customer marketing. The case study generator queues a new draft based on the deal's specifics. Attribution updates which marketing source produced this revenue. The winning audience segment is logged for future targeting.

Where to start.

Seven workflows is a lot. You don't need them all on Day 1. Most clients pick one — based on which marketing problem is loudest — and graduate the rest as the first one pays off.

If your loudest marketing pain is…Start hereWhy first
We're not producing enough content; the calendar is emptyContent CreationVisible result in week 1; fastest stakeholder buy-in
Outbound emails get ignored; reply rates are 1–2%Cold OutreachTightest feedback loop (replies in days); pipeline impact in 30 days
Our social media is sporadic and feels genericSocial MediaMost public-facing result; brand visibility within weeks
We don't rank in Google for the searches our buyers doOrganic Discovery — SEOLongest payoff (3–6 months) but the most durable moat
Our competitors get cited in ChatGPT and Perplexity, we don'tOrganic Discovery — AEO/GEOFast-emerging channel where most competitors are still asleep
We're a local business and our Google Business Profile is a messGoogle Business ProfileHighest-impact single asset for local-serving businesses; results in week 1
Our Google Ads or Meta Ads are burning money; we don't know what worksPaid Advertising (Google + Meta)Fastest budget recovery; CPA improvements in 30–60 days
We can't tell which marketing actually produces revenueAnalytics & AttributionCross-cutting foundation; makes every other workflow measurable

The Audit's job is to figure out which row applies to your business. Not to sell you the system. To tell you which workflow to graduate first — and which to wait on.

Tools we connect to — not replace.

MARKETING AUTOMATION

HubSpot · Marketo · Mailchimp · ActiveCampaign · Klaviyo · Pardot

SOCIAL PLATFORMS

LinkedIn · Facebook · Instagram · YouTube · TikTok · X

CMS / WEBSITE

WordPress · Webflow · Shopify · HubSpot CMS · Custom

ANALYTICS

Google Analytics · GA4 · Looker · Mixpanel · Plausible · Custom dashboards

SEO

Ahrefs · SEMrush · Google Search Console · Screaming Frog · Surfer SEO · Clearscope

AEO/GEO MONITORING

Profound · Otterly · Peec AI · Authoritas · Custom citation trackers across ChatGPT, Perplexity, Claude, and Google AI Overviews

GOOGLE BUSINESS / LOCAL SEO

Google Business Profile · BrightLocal · Whitespark · Moz Local · BirdEye · Podium

PAID ADVERTISING — GOOGLE

Google Ads · Google Analytics · Google Tag Manager · Performance Max · Local Services Ads · Search Ads 360

PAID ADVERTISING — META

Meta Ads Manager · Meta Business Suite · Facebook Pixel · Conversions API · Meta Audience Network

OUTREACH

Apollo · ZoomInfo · LinkedIn Sales Navigator · Lemlist · Smartlead

If your tool isn't here and it has data, we can connect to it. Custom connectors built on request.

What this looks like over time.

A representative engagement timeline based on the typical mid-market marketing client journey.

  1. MONTH 1

    Phase 1 Consulting: Audit, Brand DNA capture, Approved Framework

  2. MONTH 2

    Content Creation workflow live; first 8 pieces published

  3. MONTH 3

    Cold Outreach workflow live; first sequence running

  4. MONTH 5

    Social Media workflow added; LinkedIn first, then platform expansion

  5. MONTH 7

    SEO workflow added; pillar content cluster shipping

  6. MONTH 9

    Analytics workflow connects the loop; first true cross-channel attribution

  7. MONTH 12

    Marketing producing ~3× the output of pre-Hureka with the same team

By month 12, the Brain knows your business better than any single new hire could after a year. It has accumulated thousands of pieces of content, attribution data on every channel, brand voice calibration from every team edit, and competitive intelligence on every player in your space. Workflow #5 (Analytics) costs roughly 30% of what workflow #1 (Content Creation) cost — because the foundation is already there.

Named marketing case study (specific client, named metrics) in production. Will be linked here when published.

Common questions about Marketing AI.

The Brand DNA workshop is part of the Phase 1 consulting gate — included in every engagement, not a separate purchase. In the first 90 minutes we capture voice, audience, competitive positioning, banned phrases, preferred sources, and content pillars in a structured document. That document deposits into the Brain and becomes the grounding context for every piece of output on every workflow on this page. After 30–60 days of human edits feeding back into the system, brand voice match typically reaches 90%+. The point: you don't pay for brand work separately. It's the foundation everything else stands on.

Three ways to take the next step.

Pick the level of engagement that fits where you are. On this page, the AI Audit is highlighted — because its specific job is to tell you which marketing workflow to graduate first.

Book a Discovery Call

10 minutes. We diagnose your marketing operation and recommend the specific workflow to graduate first. 1-page Strategy Memo in 48 hours.

Book a Discovery Call

See Roopak speak live

Next event — NJBIA Tech Forward NJ. June 3, 2026. Edison, NJ. Roopak's panel covers AI transformation in content, design, and customer engagement.

Register at NJBIA

Book a Discovery Call

30 minutes with Roopak. For marketing leaders ready to talk specifics about which workflow to start with.

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