●Tell It · AI Marketing Agency AI systems for marketing
Designed, shipped, handed over.

We do not sell miracle solutions. We co-build acquisition and content AI systems with your teams, and we train them to run the systems themselves.

Discuss your project Our method

01The starting point

AI is everywhere in the talk, and still rare in the workflows.

Which tools to pick? How to fit them into daily work without disorganizing everything? Where to start without burning time and budget? Your teams are already asking these questions. Ready-made answers are everywhere; systems that actually run in production are rarer.

Our conviction: AI applied to digital is only worth it if it reinforces what makes your value, the trust of your customers, the voice of your brand, the expertise of your teams. Generated content without control erodes that trust. A well-designed system, measured and run by your own team, consolidates it.

That is Tell It's job: turning your domain expertise into a competitive advantage, with systems you keep the keys to.

02What we co-build

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01

Acquisition & lead gen

Some of your future customers are stating their need publicly right now. We build the systems that detect those signals, qualify the accounts and open the conversation with something genuinely useful, in service of your pipeline.

  • Detection of public intent signals
  • Qualification and scoring of target accounts
  • Personalized multichannel sequences at scale
  • Measured on replies, meetings, pipeline created
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02

Content & visibility

Ranking on Google is no longer enough: you also need to be cited by AI answer engines. We build content systems that hold up over time, from text to video, with editorial control protecting what AI erodes fastest: your readers' trust.

  • SEO and GEO: classic rankings and answer engines
  • Assisted editorial production with human review
  • Multi-format: text, image, video
  • Measured on rankings, citations, conversions
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03

Custom agents

Generic tools stop where your specificity begins. We build agents connected to your data and your brand voice, integrated with the tools you already use. Maintainable, documented code, not a pile of brittle building blocks.

  • RAG: your proprietary data as the answer layer
  • Integration with your CRM, CMS and internal tools
  • Governance, confidentiality, on-premise deployment available
  • Full documentation and handover

03Method

Train and transform.

Training is not a line at the bottom of the quote: it is the condition for the system to live on after we leave. Every engagement transforms one process and trains the team that keeps it alive.

1

Scope

Your channels, your numbers, your bottlenecks. Together we pick a first use case: a short scope, a measurable goal, success criteria written down before any work starts.

2

Build

The system is developed and put into production on your real perimeter, not on a demo dataset. Running costs are measured and visible from the first days: you know what every run costs.

3

Hand over

Your team takes the controls: training on your real cases, documentation, a support period. The system belongs to you and runs without us. That is the criterion that closes the engagement.

04Work

decodestack.com home page

DecodeStack, tech publication

A publication shipping continuously, that had to load fast everywhere in the world and stay simple to operate day to day. We designed the platform end to end: static architecture with no servers to maintain, visual identity and layouts, a tooled publishing workflow.

The result: pages served in tens of milliseconds, one unified publishing chain, and a site run end to end through conversational AI systems.

Visit the site
cloudnweb.dev home page

Cloudnweb, cloud security publication

A publication focused on cloud and container security, with a sober visual identity close to an operations console. We designed the platform end to end: static architecture with no servers to maintain, art direction distinct from our other work, a tooled publishing workflow.

The result: near-instant loading, an identity that never gets confused with any other, and an editorial workflow that's just as conversational.

Visit the site

05From the blog

All articles

July 22, 2026

OKF, Google's Markdown Format for Agents, and What It Doesn't Change Yet

Google Cloud released OKF, a Markdown format for feeding agents curated context. What's real, what's still speculative, and what already pays off.

July 21, 2026

France just got a deadline for AI Overviews. It is a preview for the rest of Europe.

France now has a confirmed rollout date for AI Overviews. What is verified, the impact measured elsewhere, and what other European markets should watch for.

July 18, 2026

Not Ranking First No Longer Keeps You Out of the Answer

The link between classic Google position and citation in AI answers has loosened. What three independent measurements show, and what it changes.

July 15, 2026

Being Named, Not Just Linked

An answer engine can cite your brand with no link pointing to it. AI visibility now measures mentions, not only backlinks.

July 12, 2026

The right memory level for an AI agent isn't always the most advanced

Over-equipping an AI agent's memory backfires more often than under-equipping it. The real work is diagnosing the right level, not the deepest stack.

July 9, 2026

What makes an AI agent never relearn the same thing twice

Giving an AI agent long-term memory is a matter of method first: what to keep, where to file it, when to scale up in sophistication.

06Frequently asked

Where do we start?

With a single use case, chosen for its effort-to-impact ratio: one measurable bottleneck in your acquisition or your content production. One system in production beats three open projects. Initial scoping takes days, not months of audit.

Does it integrate with our existing tools?

That is the starting condition. We build in code, which lets us connect to your CRM, your CMS and your internal tools through their APIs instead of imposing yet another platform. If a tool cannot be connected cleanly, we say so during scoping.

What about data confidentiality?

Your data stays yours. Depending on your requirements, systems can run on models hosted in Europe or on open-source models deployed on your own infrastructure. Governance (who accesses what, what leaves, what is logged) is written down at scoping.

Will our team depend on you?

No, and that is a method commitment: handover is part of every engagement. Training on your real cases, full documentation, code you own. We stay available afterwards, but your autonomy is the success criterion, not contract renewal.

What does it cost?

Each engagement is priced on a short, fixed scope, with no forced subscription. System running costs (models, hosting) are measured and shared openly: you decide with full information before any scope extension.

A use case in mind? Let's talk.

One conversation, one scope, one measurable goal.

Get in touch