DEJAN is an AI SEO agency that makes global brands and e-commerce stores visible across AI search, chat, assistants and agents.

Our team uses use machine learning and mechanistic interpretability to understand exactly why AI systems recommend a brand, then make yours the brand they recommend.

We cover the main AI ecosystems including Google, OpenAI and Anthropic. This includes AI Mode, AI Overviews, Gemini App as well as ChatGPT, Perplexity, Copilot and Claude Models.

Schedule a Call

Book a conference call with our senior strategy team to discuss your project in detail.
The consultation is free and highly constructive.

The ARC Framework

Association

Map Connections

We nurture a strong culture of testing and measuring. We like to know what works, what doesn’t work, and most importantly, we like to know why.

Relevance

Find Connection Strength

We innovate all the time. It’s in our DNA. When working together with your team we’re very likely to come up with something that’s never been done before.

Citations

Selection Rate Optimization

We see ourselves as an extension of your team and take great care to ensure that you understand our work. Our best campaigns are based on strong collaboration.

Bayesian Content Optimizer

Become the source AI chooses.

Content Optimizer is a content optimization engine that aligns your page content with AI model preferences, making your brand more likely to be selected, cited, and recommended in AI search and chat. It optimizes your pages for the way AI assistants evaluate, compare, and choose sources.

AI search has changed how content wins

Your page can rank #1 and still never appear in an AI answer.

When someone asks a question in ChatGPT, Gemini, Perplexity, Claude, or Google AI Mode, the model runs its own search, pulls a handful of competing pages, and decides — in a single pass — which source to trust, which passage to quote, and which brand to recommend. That decision isn’t driven by keywords or backlinks. The model weighs clarity, relevance, structure, evidence, specificity, and how completely your content answers the question. Most pages were never written for that evaluation.

Content Optimizer is built for it.

From one page to your whole site

Optimize a single page against a single query, or batch hundreds of page-and-query pairs in one pass. Content Optimizer reuses its research across the batch, so overlapping competitors are analyzed once — and you get a portfolio-level view of where you’re winning and where you’re not.

What you get

Every run turns analysis into changes your team can act on.

Competitive source analysis

See your page measured against the exact competitors an AI would weigh for a query, and understand why one source is preferred over another.

Rank factor insights

See which content attributes helped or hurt your page in the model’s evaluation — and where the next gain is most likely to come from.

Citation-focused content improvements

Sharpen the specific passages AI systems are most likely to quote, cite, or summarize when they answer on your topic.

An optimization narrative

A plain-English summary of what worked, what didn’t, and the key insight from the run — so anyone on the team can follow the reasoning.

Content briefs

Optimization results turned into a clear, actionable editorial brief — the concrete page edits your writers can execute straight away.

Optimizes for the decision, not the ranking

Traditional SEO optimizes for where you sit on a results page. Content Optimizer optimizes for something different: whether an AI grounding system would choose to quote you.

The mechanism is direct. When an AI assistant answers a question, it compares competing sources and selects the most quotable passage. Content Optimizer simulates that exact decision with an AI ranker — then iteratively rewrites your page, or the snippet an AI would lift from it, until the ranker prefers your content over the competition.

It isn’t a checklist or a static score. It’s a measured contest, run round after round, until your page is the one the model picks.

This is not traditional SEO

It works alongside your SEO — but it optimizes for a different moment in the user’s journey.

Traditional SEO

— Optimizes for position on a search results page

— Targets crawlers and ranking algorithms

— Measured by keyword rankings and clicks

— Guided by general best-practice checklists

Content Optimizer

✓ Optimizes for selection inside an AI-generated answer

✓ Targets the model’s source-evaluation step

✓ Measured by whether the AI ranker prefers your page

✓ Guided by a measured, round-by-round contest

From baseline to the top of the set

A single, transparent loop you can watch round by round.

Choose a query or topic

Start with the question, entity, or search intent you want your page to win.

Assemble the competitive set

Content Optimizer pulls the live results for that query and gathers the competing pages an AI assistant would actually encounter and weigh.

Establish a baseline

An AI ranker scores your page against those competitors, using multiple independent samples for a stable, trustworthy starting rank.

Optimize round by round

Each round, the engine forms a hypothesis, applies a targeted edit, and re-runs the ranker. Changes that improve your rank are kept; the rest are discarded.

Converge on the winning version

The loop repeats until your content is the preferred source — or until you’ve seen exactly which changes move the needle and which don’t.

Receive the brief

When the run finishes, you get a plain-English narrative of what worked and a content brief of concrete edits to apply.

Client Success: OWAYO

Metric	Starting Value (Apr 15, 2026)	Ending Value (May 31, 2026)	Percentage Point Increase (pp)	Percentage Increase (%)
Share of Voice	2.18%	3.87%	+1.69	+77.52%
Mention Share	2.06%	4.37%	+2.31	+112.14%
Citation Share	2.30%	3.38%	+1.08	+46.96%

BACKGROUND

At the start of the AI Visibility campaign OWAYO wasn’t being recommended in AI assistant chat sessions and AI Mode for audiences in the USA.

AUDIT

Using our bayesian content optimizer we found that the brand was overly EU-centric causing models to withhold recommendations for the audiences in the USA.

CAMPAIGN

An on-site optimisation followed by a 6 month off-site brand alignment campaign resulted in OWAYO’s AI visibility by up to 90% per entity and 2% global uplift for all targeted entities.

FAQs

Does this replace my SEO?

No — it complements it. Traditional SEO gets your page into the competitive set an AI assistant considers. Content Optimizer helps you win selection once you’re there, so you’re the source that gets quoted and recommended.

Which AI models does it optimize for?

It models the source-selection behavior of the major AI search systems — Google AI Mode, ChatGPT search, Perplexity, Gemini, and Claude — and gives you rank-factor attribution broken down per model, so you can see what works where.

Do I have to rewrite my whole page?

No. Snippet mode tunes a single extractable passage. Page mode proposes targeted, line-level edits rather than a full rewrite. You always decide what to apply.

Will optimized content be penalized by Google?

No. The changes improve clarity, structure, evidence, and specificity — the same qualities that serve human readers. There’s no keyword stuffing and no manipulation; the page simply answers the question better.

How long does a run take?

A single snippet run completes quickly. Page-mode and batch runs take longer because they make more changes and test more competitors. Every run ends with a narrative summary and a content brief.

Can my editorial team keep control?

Yes. Human-in-the-loop mode lets your team choose each change and write it themselves, while the AI ranker keeps an objective score of whether it actually improved your standing.

What do I need to get started?

A page — or a set of pages — and the queries you want to win. We handle the competitive research, scraping, ranking, and reporting.

Advanced AI Visibility Philosophy & Approach

DEJAN’s methodology transcends traditional AI SEO, diving into the core mechanics of LLMs to provide actionable intelligence for AI visibility. Our approach is built on:

Mechanistic Interpretability: We understand that AI models, while appearing intelligent, operate on statistical probabilities and learned associations. Our tools are designed to surface these underlying mechanisms, providing clarity on how and why models make certain decisions.
Under-the-Hood Analysis: We move beyond surface-level metrics to analyze log probabilities, token flow, and decision-making junctions within LLMs, identifying precise points for optimization.
Strategic Optimization: Our insights translate directly into actionable strategies for content creation, internal linking, and even influencing user prompting patterns, ensuring your brand’s message resonates effectively with AI.

Testing.

We nurture a strong culture of testing and measuring. We like to know what works, what doesn’t work, and most importantly, we like to know why.

Innovation.

We innovate all the time. It’s in our DNA. When working together with your team we’re very likely to come up with something that’s never been done before.

Collaboration.

We see ourselves as an extension of your team and take great care to ensure that you understand our work. Our best campaigns are based on strong collaboration.

Meet our core team

We’re an all-senior team with experience in a wide range of projects and industries.

Mike Jolly

Director of Strategy

Blake Walsh

SEO

Giordano Chng

SEO

Liam Buttery

SEO

Dan Petrovic

AI SEO

Martin Reed

Technical SEO

Bianca Hall

Public Relations

Alex Petrovic

SEO

Danielle White

Operations

Milos Dosen

CFO

Josip Ivanovic

Software Engineering

Nemek Nowaczyk

PPC

Dragan Grubacki

Technical SEO

Finn Arrowsmith

Outreach

Data. Discovery. Testing.

All our decision making is based on data analysis and testing.

Innovation.

Our clients enjoy access to unique tools and methodologies designed to solve challenges, surface new insights and highlight opportunities.

Focused Campaigns.

We deliver sharp, well-prioritised SEO strategies designed to meet your business objectives.

Next Level Support.

Proactive, helpful advice to increase your rank ceiling, mitigate risk, and maximise your marketing efforts.

We were given our very own bespoke internal link recommendation engine that leverages world-class language models and data science. It’s one thing to theorize about the potential of machine learning in SEO, but it’s entirely another to witness it first-hand. It changed my perspective on what’s possible in enterprise SEO.