STEP 01
Audit IQ
Data Quality
A business audit identifies what data you actually need. A technical audit ensures your pipeline delivers it cleanly — from GSC, GA4, Google Ads, and LinkedIn. Periodic execution enables continuous data governance.
01 — The Problem
Generative AI made execution faster.
Generative AI made execution faster.
It didn't make it smarter.
Companies are pointing generative AI at unstructured data and pressing go. The content ships faster. It ships cheaper. But faster execution of the wrong thing isn't a strategy — and without reliable attribution, no one can tell whether any of it is working.
The result is a familiar pattern: more output, less measurement, and a budget that keeps quietly leaking.
50–90%
Digital ad spend wasted
Less mature teams waste up to 90% of their digital ad spend. Even sophisticated organizations leak roughly half. Both are addressable — once you can see the leak.
02 — The Framework
Audit. Optimize. Automate.
Semantic Brain is a single application unifying three proprietary technologies. The full process can run autonomously, but sales and marketing teams can step in at any point to shape it — no data-science background required.
STEP 02
Semantic IQ
Optimization
Powered by BizML
· patent-pending The deliverable: deep diagnostic insights and prescriptive solutions — the optimization itself. The foundation: reliable attribution. A baseline is established at onboarding, then continuously scanned for signal across channels and campaigns. An LLM reasoning layer turns signal into diagnostics and prescriptions.
STEP 03
Gen AI
Automation
Generative AI for content creation and task execution — only now it's operating on clean data and verified attribution, not assumptions. The same Gen AI everyone else uses, applied with intelligence.
Integrates with Google Search Console GA4 Google Ads LinkedIn Read-only · revocable · no PII
Patent-pending
03 — The Engine BizML is what makes Semantic IQ possible.
BizML is Semantic Brain's patent-pending core. Its feature-engineering and selection methods improve prediction accuracy, reduce error rates, and — just as importantly — increase explainability for the humans who need to trust the output.
The technology was originally built for quantitative investing and trading: seven customers, more than fifteen production projects. We then embedded it into Semantic IQ to optimize marketing first, and sales next.
Semantic IQ is not possible without BizML. It's what turns raw data into signal — and signal into prescriptive insight.
+20%
Improvement in prediction accuracy
−50%
Reduction in error rates
15+
Production projects across 7 customers prior to marketing
04 — Who It's For
Built for teams that need outcomes, not just output.
One platform, four contexts. The framework adapts to how your organization actually sells — whether you're a B2B SaaS team trying to plug a leaky funnel or an agency moving from billable hours to results-based engagements.
For Agencies
Stop billing hours. Start billing outcomes.
Gen AI has commoditized content execution. Agencies that demonstrate measurable results — with attribution — win the next contract. Audit IQ also helps identify gaps and pipeline issues before onboarding, making it easier to prioritize and sell.
Read more For B2BLong cycles. Self-directed buyers. Where revenue leaks.
Business buyers spend only 6% of their time with any vendor, and 87% prefer to research independently before talking to sales. Analytics can pinpoint exactly where you're losing them — particularly in sales-heavy organizations that have underinvested in digital infrastructure.
Read more For B2CReal demographics. Real psychographics. Real behaviour.
Semantic IQ, working from Google data, identifies who your customers actually are and how they actually buy — rather than guessing. That means better segmentation, sharper targeted messaging across SEO, social, and paid, and significantly less wasted ad spend.
Read more For SaaSCompress activation. Embed intelligence in the product itself.
SaaS companies operate as B2B, B2C, or both — but they have two unique opportunities: streamlining sales and marketing during the critical first 30 days of app usage, and enhancing the product itself with Semantic IQ-powered dashboards, reports, or embedded intelligence.
Read more 05 — About
Engineers and mathematicians who solved for marketing and sales.
Semantic Brain is a Toronto-based analytics company. The leadership team has spent years building investing, marketing, and CRM applications. BizML — our patent-pending engine — was first deployed in the investment domain; we then applied it to marketing and sales.
We are not a creative agency. We don't ship content for the sake of it. We build the intelligence layer that makes content — and the Generative AI that produces it — actually work.
06 — FAQ
Questions, answered.
What operators ask before the first call. Short, specific, and honest about the mechanism.
What do I actually get?
Three layers, in order.
Optimization Analysis — quantitative reporting across demographic, psychographic, and behavioural analysis, organic search, and Google Ads, each with its own recommendations.
Core Artifacts — customer persona and ICP, segmentation, buyer behaviour, and brand voice, both current and recommended.
Execution — ad changes, new ads, SEO and social content, sales messaging, and marketing and sales planning.
The first two tell you what is true and what to do about it. The third does it.
How is this different from a Gen AI agent like Copilot or Gemini?
Point Copilot or Gemini at raw GA4 and Google Ads data and one of two things happens: it hallucinates, or it returns recommendations that quietly cost you money. Either way, token costs climb and the budget leaks.
Those tools execute. They do not decide what is worth executing. Semantic Brain structures the Analytics first — establishes attribution, separates signal from noise — then puts Gen AI to work on clean data instead of assumptions. The same Gen AI everyone else has, applied to better inputs.
How fast do I see results?
Weeks 1–2 — Onboard and launch. Audit IQ runs the onboarding audit and cleans the data pipeline. Semantic IQ establishes attribution and a baseline. Together we pick a handful of items to focus on.
Weeks 3–4 — Prove. We execute against those items and demonstrate ROI through Semantic IQ, while Audit IQ keeps the data clean.
Weeks 5–6 — Scale. We identify the next set of opportunities and execute.
First results land inside the three-to-four-week window. The work compounds from there.
What does the free Audit IQ include, and what's the catch?
The free Audit IQ works entirely from publicly available information and returns an assessment of your business overview and recommendations, data pipeline issues (tracking hygiene), and technical issues across performance, SEO, and accessibility.
The catch, such as it is: it touches nothing beyond what is already public, so you have nothing to lose and walk away with concrete ways to improve. It also means we have not seen your GSC, GA4, Google Ads, or LinkedIn data yet — so we cannot quantitatively optimize from a public audit alone. That is the next step.
What does it cost, and how does an engagement work?
Four tiers, priced per account or business unit.
Elevate — $400/month. 8,000 cognitive credits. Equal access for every user.
Optimize — $2,000/month. 40,000 credits. Role-based access, plus review, update, and approval workflows.
Multiply — $7,500/month. 200,000 credits. For agencies and large enterprises; adds Agency and Client Admin.
Compound — custom. Custom integration and product customization.
Seats are unlimited; additional cognitive credits can be purchased. Credits track token use — a reasonable proxy for the intelligence (Analytics + Gen AI) delivered.
Do I need a data scientist or a technical team?
No. Semantic IQ is your data scientist; BizML is the tool it uses, embedded inside it. You ask the questions in plain language; the system handles the Machine Learning, on a schedule or on demand.
Is my data safe? Where does it go?
Access is read-only and revocable — you grant it, and you can withdraw it whenever you choose. We connect to GSC, GA4, Google Ads, and LinkedIn, none of which expose personally identifiable information. We read the signals that drive attribution and optimization. We do not collect your customers' personal data.
Has this actually worked for marketing, or just investing?
Both. BizML came out of a hedge-fund advisory project in November 2021, then moved into advertising quickly: our first ad customer launched in April 2022, when a security SaaS company raised conversions by 700% after increasing marketing spend just 7% to fund ads.
Since then we have applied BizML across advertising, social media, influencer scoring, and churn prediction — real experience with GSC, GA4, Google Ads, and LinkedIn, not only market data. Audit IQ and Semantic IQ are recent; the engine underneath them has four years of production behind it.
Get started
Book a demo. Free audit included.
Every demo includes a complimentary Audit IQ — a business and technical pass over your marketing data pipeline. You'll see exactly where the leak is and what it would take to close it, before any commitment.