MKT · Marketing

Agents that produce, measure and localize campaigns under brand control

Marketing teams now publish across more channels, markets and languages than their headcount can cover. FreeSeek builds agents that work inside your CRM, analytics and ad accounts, follow your brand rules and claim policies, and hand every publish or spend decision to a named marketer.

Systems we connect to

SalesforceHubSpotGA4Google AdsMeta Ads ManagerSegment CDPContentful

Application scenarios Case studies

Agent run · examplerun_e93b16

TaskReview last week's paid media and propose budget changes for the Q4 demand campaign.

ads.query()
Pulled spend and conversions from Google Ads, Meta and LinkedIn for 14 active campaigns.
crm.join()
Matched conversions to Salesforce opportunities and found LinkedIn produced 2x the pipeline per dollar of Meta.
budget.propose()
Drafted a shift of 15% of Meta prospecting budget to LinkedIn, with pacing checks and confidence notes.

Result · Proposal sent to the performance marketing lead for approval. No spend changed yet.

Industry context

Where marketing teams stand today

Most teams run campaigns across search, social, email, web and events at the same time, often in several markets. Each channel has its own formats, specs and reporting. Content demand has grown faster than budgets, so writers and designers spend much of their week adapting one idea into dozens of variants. Review queues with brand, legal and regional teams decide how fast anything ships.

Measurement has also become harder. Third-party cookies and app tracking limits have reduced user-level attribution, and platform-reported conversions rarely agree with each other or with the CRM. Analysts stitch exports together in spreadsheets to answer basic budget questions. In B2B, sales development teams research accounts by hand, and outreach quality drops as volume rises.

Content volume per channel

Each campaign needs variants for every channel, format and audience segment. Teams fall behind or ship generic copy that performs poorly.

Fragmented measurement

Ad platforms, GA4 and the CRM report different numbers for the same campaign. Budget decisions wait on manual reconciliation.

Claim and consent risk

Advertising claims, endorsements and email consent are regulated differently in each market. A single unsupported claim can trigger a regulator complaint or a platform ban.

Cross-border localization

Translating a campaign is not enough for a new market. Pricing, references, legal wording and channel mix all need adjusting, which local teams rarely have time to do.

Application scenarios

Four workflows, analysed step by step.

Each scenario shows how the work is done today, what the agent takes over, where a person signs off, and what we measure.

MKT-1On-brand content production with claim checks MKT-2Campaign analytics and budget reallocation proposals MKT-3Account research and personalized outreach for B2B pipeline MKT-4Localization of campaigns across languages and markets

MKT-1

On-brand content production with claim checks

The agent turns a campaign brief into channel-ready drafts and flags every claim that needs evidence or legal review.

Integration depth Quick win

Typical pilot4–6 weeks

How it works today

A copywriter takes a brief and writes separate versions for landing pages, email, paid social and search ads. Brand reviewers check tone by eye against a PDF guideline. Legal reviews claims late in the cycle, often after design is finished, so rework is common. Approved claims and their substantiation live in scattered folders, and the same disputed claim gets debated again on the next campaign.

Systems used

ContentfulHubSpotGoogle DriveClaim substantiation libraryBrand guideline repository

What the agent does

Reads the brief, audience segment and channel specs, then drafts variants for each placement within character and format limits.
Applies the brand voice guide and approved terminology list, and scores each draft against them.
Matches every factual or comparative claim to the substantiation library and marks unsupported claims for removal or review.
Adds required disclosures, such as sponsorship labels or AI-generated content notices, according to channel and market rules.
Packages drafts with a claim table into the review workflow for brand and legal sign-off.

Human checkpoint

A brand manager approves tone and messaging, and legal or compliance signs off on every flagged claim before anything is scheduled. The agent cannot publish directly.

What we measure

Brief-to-approval cycle time
Legal rework rate
Drafts approved without edits
Unsupported claims caught before review

MKT-2

Campaign analytics and budget reallocation proposals

The agent reconciles performance data across platforms and proposes budget shifts with the reasoning attached.

Integration depth Moderate

Typical pilot6–8 weeks

How it works today

An analyst exports data from Google Ads, Meta, LinkedIn and GA4 each week, then matches it to CRM pipeline in a spreadsheet. Naming conventions differ between platforms, so mapping campaigns takes hours. By the time the report is ready, the spend it describes is already a week old. Reallocation decisions rely on whichever platform metric is easiest to read rather than on pipeline or revenue.

Systems used

Google AdsMeta Ads ManagerGA4SalesforceBigQuery

What the agent does

Pulls spend, impressions and conversions from each ad platform and GA4, and normalizes campaign naming and UTM parameters.
Joins platform data to CRM opportunities and closed revenue to compare cost per qualified lead and pipeline per channel.
Detects pacing problems, rising cost per acquisition and creative fatigue against defined thresholds.
Drafts a reallocation proposal with expected impact, confidence level and the data behind each change.
Writes a plain-language weekly summary for the marketing lead and logs the decisions taken.

Human checkpoint

The performance marketing lead approves or rejects each budget change. The agent has read-only access to ad accounts unless a change is explicitly approved and within a set spend limit.

What we measure

Report preparation time
Cost per qualified lead
Pipeline per marketing dollar
Time from signal to budget decision

MKT-3

Account research and personalized outreach for B2B pipeline

The agent researches target accounts and drafts first-touch messages tied to real buying signals.

Integration depth Moderate

Typical pilot6–8 weeks

How it works today

Sales development representatives spend a large share of their day reading company websites, filings, job posts and news before writing an email. Under volume targets, most messages fall back to templates with a name swapped in. Reply rates decline, and personalization quality varies widely between reps. Research notes rarely make it back into the CRM, so the next rep repeats the work.

Systems used

SalesforceHubSpotLinkedIn Sales Navigator6senseOutreach

What the agent does

Builds an account brief from the CRM record, public filings, news, hiring activity and intent data.
Identifies the likely buying committee and the trigger that makes the account relevant now.
Drafts a short first-touch email and LinkedIn note for each contact, referencing the specific trigger.
Checks consent status and suppression lists, and applies CAN-SPAM or GDPR requirements by contact region.
Writes the brief and drafts back to the CRM as tasks for the assigned rep.

Human checkpoint

The assigned rep edits and sends every message personally. Marketing operations owns the consent rules and reviews any contact the agent flags as uncertain.

What we measure

Research time per account
Positive reply rate
Meetings booked per rep
Consent exceptions flagged

MKT-4

Localization of campaigns across languages and markets

The agent adapts an approved master campaign for each target market, including language, references, legal wording and channel mix.

Integration depth Deep integration

Typical pilot8–10 weeks

How it works today

Headquarters ships a master campaign and regional teams adapt it with agencies or freelance translators. Literal translation misses local idiom, and claims approved in one market may be prohibited in another. Local teams often lack time to review, so assets go live late or not at all. Terminology drifts between markets because no shared glossary is enforced.

Systems used

Phrase TMSContentfulBrand glossaryHubSpotMarket rule library

What the agent does

Translates and adapts copy using the brand glossary and translation memory for each language.
Replaces cultural references, units, currencies, dates and examples that do not fit the target market.
Checks claims and wording against that market's advertising rules and flags terms that need local legal review.
Suggests channel adjustments for the market, such as different social platforms or messaging apps.
Routes the localized package to the regional reviewer with a change log against the master.

Human checkpoint

A native-speaking regional marketer approves each localized asset, and local counsel reviews any claim the agent flags under that market's advertising law.

What we measure

Time to market per locale
Regional reviewer edit rate
Glossary consistency
Assets launched per market

Case studies

How engagements in this field have played out.

Illustrative cases: composites of typical deployments with client details removed. Figures show the range our pilots are designed to reach.

Claim-checked content production for a consumer health brand

Client: Consumer health and wellness brand, direct-to-consumer and retail, 5 marketsRegion: Western Europe

−34%brief-to-approval cycle time

−41%legal rework after design

+22%assets shipped per month

Challenge

The content team produced about 300 assets a month across web, email and paid social. Every health-related claim needed legal review, and the queue ran two to three weeks. Legal often rejected claims after design was complete. The same claims were debated repeatedly because there was no shared record of what had been approved and on what evidence.

What we built

Built a claim substantiation library from past legal approvals and linked each claim to its evidence.
Deployed a drafting agent that writes channel variants and tags every claim against the library.
Added an intake step in the existing review tool so legal sees only new or modified claims.

Timeline: 6-week pilot on two markets, rolled out to all five by month 4

Account research and outreach for an industrial software vendor

Client: B2B industrial software vendor, 40-person sales development teamRegion: North America and GCC

−45%research time per account

+28%positive reply rate

+19%meetings booked per rep

Challenge

Sales development reps spent around 40% of their time on account research. Reply rates had fallen for three quarters as reps relied on templates to meet activity targets. Expansion into the Gulf added contacts with different consent expectations, and the team had no consistent way to check them before sending.

What we built

Connected the agent to Salesforce, intent data and public sources to build account briefs automatically.
Generated trigger-based first-touch drafts that reps edit and send from their own sequences.
Encoded regional consent and suppression rules so uncertain contacts are routed to marketing operations.

Timeline: 8-week pilot with one team, production in month 3

Risk and compliance

Claims, consent and brand safety

Advertising claim rules

Claims are checked against the US FTC Endorsement Guides and substantiation standards, the EU Unfair Commercial Practices Directive and the China Advertising Law, which prohibits absolute terms such as "best" or "number one". Unsupported claims are flagged for legal review and never published by the agent.

Consent and data protection

Outreach and audience building respect GDPR and ePrivacy consent, CAN-SPAM opt-out requirements and China PIPL where relevant. Consent status and suppression lists are checked before any draft is created for a contact.

Brand safety and access control

Agents work with read-only access to ad accounts and publishing systems by default. Any spend change or publication requires an approval from a named owner, and every action is logged.

AI-generated content disclosure

Disclosure labels are applied where rules require them, including the EU AI Act transparency obligations and China's measures for labeling AI-generated synthetic content. Platform policies on synthetic media in ads are encoded per channel.

Questions we hear

Will the agent publish content or change ad spend on its own?

No. By default the agent drafts and proposes. Publishing and budget changes require approval from a named marketer, and spend limits can be set for any pre-approved actions.

How does the agent learn our brand voice?

We encode your brand guidelines, approved terminology and examples of approved and rejected copy. Reviewer edits feed back into the rules, so the agent improves with use.

Which systems do you integrate with?

Common integrations include Salesforce, HubSpot, GA4, Google Ads, Meta Ads Manager, LinkedIn, CDPs such as Segment and headless CMS platforms such as Contentful. We scope each integration during the pilot.

Can it handle markets with different advertising rules?

Yes. Each market has its own rule set for claims, disclosures and consent. The agent flags anything uncertain for local legal review rather than deciding on its own.

Have a workflow like these?

Send us a short description of how the work is done today. We reply within two business days.

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Other industries

MFGAdvanced Manufacturing MATNew Materials R&D ENGEngineering Design MEDHealthcare Services FINFintech