Content Intelligence Engine

Content built to rank o n Google and get cited by AI.
Content built to rank o n Google and get cited by AI.

How each piece is built

Analysis and topic selection

We map keyword demand, industry entities, and the competitors already ranking and already being cited. That research becomes an editorial calendar prioritized by impact.

Generation and validation

One AI writes on your brand’s real context. A second one scores it against measurable standards, and our editors review every piece before it ships.

Publishing and measurement

We upload to your CMS or deliver in HTML, with internal linking and verification. Then we track your positions in Google and your mentions across AI models.

The system behind every piece

Citable on Google and in LLMs

Every piece targets both surfaces, with the structure, schema, and verifiable sources that earn citations.

Your brand voice

Brand onboarding and real data feed each piece. AI performs as well as the sources behind it.

Results you can measure

Reporting across Google and LLMs tells you what to update, what to expand, and what to publish next.

Our Content Services

Content paired with SEO consulting

Production at scale

Our approach

Context

We onboard your brand and load the real data behind every piece: catalog, historical content, and product or site data.

Topics

Demand, entity, and competitor analysis shapes an editorial calendar you approve before we write.

Generation

AI models produce each piece on your loaded context, with prompts parameterized for your brand.

Validation

Every piece gets scored on factuality, tone, on-page SEO, and originality, and iterates until it passes.

Publishing and measurement

We upload to your CMS or deliver in HTML with internal linking, then measure results in Google and in AI models through LLM Pulse.

Real growth,
told by our clients

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“They have been supporting our internal team for three years, contributing to both strategy and execution.”

Sebastian galanternik

Sebastián Galanternik

SEO & GEO Sr Manager

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“I would highlight their agility, positive attitude, and attention to detail.”

Manuel Cao

Strategic Communications

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“They are a very organized and creative team that understands problems and proposes realistic, results-driven solutions.”

Agustina Montelli

Head of Marketing

What sets us apart

SEO and GEO in one service

We optimize for traditional search engines and for generative models like ChatGPT, Gemini, and Perplexity, with citability backed by a clear mechanism and real measurement.

End to end, all the way to publication

You get the data source, the validation, and the full operation through publishing. The same brand voice in piece 10 and in piece 1,000.

Scale that comes from the system

Growing volume becomes a function of the system, with quality standards visible at every stage.

Data-Driven Decisions

An analytics layer sits at both ends of the process. Upfront analysis defines what we produce, and continuous measurement in Google and LLMs decides what comes next.

Contact us

Let’s talk about your SEO goals.


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    Frequently Asked Questions

     It’s Eleven’s SEO and GEO content production system. It opens with demand and entity analysis to define your topics, loads the real context of your business, generates with AI, scores every piece against measurable standards, runs it through human editorial review, and publishes it in your CMS. It closes by measuring positions in Google and citations across AI models, and everything we measure feeds the next editorial cycle.

    Articles, product pages, category pages, event pages, and pillar content, with images aligned to your brand guidelines. We work in Spanish, Portuguese, and English, with performance reporting for Google and LLMs. Content audits and editorial roadmaps are available as optional modules.

    From 5 pieces a month alongside SEO consulting, up to 2,000+ pieces a month in production at scale. Volume adapts to your goals while your brand voice stays intact.

    On two fronts. In Google: positions and indexing, piece by piece and as a whole. In AI models: mentions and citations across ChatGPT, Gemini, and Perplexity through LLM Pulse. The report defines what we update, what we expand, and what we produce next.

    Your first publication lands within two weeks of kickoff. From there the process compounds, because every cycle absorbs what the previous one learned.

    The difference is the system around the generation: your real business data as the source, per-piece validation with a scoring system, human editorial review, and measurement in Google and in AI models. That’s what you’re contracting.