AI SEO Agency | LLM Positioning & Google AI Overviews

We help brands build visibility within AI-generated results—from Google AI Mode and AI Overviews to ChatGPT, Gemini, and other LLMs.

Customers are no longer just searching—they are asking. More and more, it is AI that delivers the final, ready-made answer. This is where the battle for attention is won: right inside the AI’s response. If your brand isn’t positioned within Large Language Models (LLMs), you are losing a critical connection with your audience.

Until recently, the buyer’s journey was predictable: a user would search, compare, read reviews, and revisit your site multiple times before finally clicking “Buy Now.” Today, many of these stages are consolidated into a single conversation with AI.

With the surge of Generative AI, the path to purchase has fundamentally shifted. A single prompt in Google’s AI Overviews or ChatGPT can now provide a direct recommendation, a feature comparison, and a direct link to purchase.

AI is reshaping the customer journey and creating new search habits, offering brands entirely new opportunities. This evolution requires fresh strategies, but AI SEO doesn’t replace traditional SEO – it expands its boundaries. Positioning your brand within LLMs is the new frontier of competition.

While traditional SEO focuses on search engine rankings, AI SEO goes a step further – it builds visibility (known as LLM Positioning) within responses generated by advanced language models like Google’s AI Overviews, ChatGPT, Bing Copilot, and Gemini.

Both fields evolve together. That’s why AI SEO – also known as GEO (Generative Engine Optimization) – is the essential solution for brands that want to dominate classic search results, AI-generated snippets, and LLM responses simultaneously.

AI SEO merges traditional pillars—positioning, content, and backlink structure—with new optimization frontiers: semantics, brand reputation, and data formats tailored for large language models. This is SEO that transcends the SERP, reaching every platform where your customers are searching for answers.

[CLICK EACH SECTION TO EXPAND]

AI & LLM traffic and visibility analysis

We monitor if and how your domain surfaces in AI-generated responses across major platforms (Google AI Overviews, ChatGPT, Gemini, Perplexity, etc.).

We quantify your reach by combining data from external monitoring tools, server logs, and GA4. This multi-layered approach provides a precise, data-backed map of your brand’s presence within the AI ecosystem.

These regular insights form the strategic backbone of our AI SEO and LLM Positioning efforts. All results are shared via dedicated, real-time live reports. As part of our verification process, we also identify a curated set of target prompts for which your brand should achieve maximum visibility and authority.

AI competitor analysis

Technical optimization

Content AI-friendly

Brand reputation & authority in the AI ecosystem

Monitoring & reporting

Presence in generative responses

Deep data & actionable insights

Enhanced brand image & online authority

How Crawlcore protected revenue in a multi-million e-commerce business during an uncontrolled code change

Google AiO Analyser

We have developed a proprietary tool that automatically analyzes your website and target keywords to generate specific recommendations on how to secure a spot in Google AI Overviews.

Marketer+ / Article

Our experts, Urszula Żupnik (SEO Content Team Leader) and Maciej Orpik (SEO Innovation Manager), authored a deep dive for Marketer+ on the SEO revolution, the rise of AI Search, and the critical importance of AI SEO.

SEO Fridays Podcast

Maciej Orpik joined Dawid Medwediuk’s podcast to discuss Crawlcore—our proprietary SaaS tool designed to safeguard SEO performance and security.

Webinar: PR, SEO i AI

An exclusive mbridge x Triple PR webinar featuring Maciej Orpik and Agnieszka Malesza-Woźniak, discussing the intersection of PR and SEO in the AI era. Follow us on LinkedIn to stay tuned for upcoming sessions.

GitHub

Visit the official mbridge GitHub repository, where we share our AI solutions, scripts, and automations built to empower marketers, analysts, and e-commerce professionals.

Whitepress

Our CEO, Maciej Brożonowicz, shared his vision with Whitepress regarding the future of SEO in the age of AI and the transformative impact of artificial intelligence on link building strategies.

Marketer+ / Expert Comment

Maciej Orpik, SEO Innovation Manager, provided an expert commentary for Marketer+ on the rollout of Google’s AI features in Poland and the resulting shifts in the digital marketing landscape.

* based on 2025 performance data.

AI SEO and LLM positioning unlock entirely new horizons for brand growth and reputation building. As an agency, we have a proven track record of working with brands of all scales and budgets, consistently delivering measurable results and meeting the specific business objectives set before us.

AI doesn't replace SEO — it expands it

AI isn’t just changing SEO; it’s changing how search engines interpret the world. Today, it’s not just about content—it’s about context, credibility, and how external sources perceive your brand. Large Language Models don’t just look at keywords; they build meaning from them.

That is why AI SEO isn't an "add-on" to your strategy—it’s its natural evolution. As an AI SEO agency, we help brands establish a presence where decisions are increasingly made: within AI-generated responses.

What exactly is AI SEO, and how does it differ from traditional SEO?

AI SEO is a strategic approach to building brand visibility in an environment where users increasingly turn to Artificial Intelligence for answers. It encompasses technical website optimization, content creation, and reputation building designed to ensure that Large Language Models (LLMs)—such as Google AI Overviews, ChatGPT, Gemini, and Perplexity—can accurately interpret your brand and include it in their responses.

Traditional SEO vs. AI SEO: The Core Differences

Feature	Traditional SEO	AI SEO
Primary Focus	Visibility in Search Engine Results Pages (SERPs).	Visibility in AI-generated responses and conversational interfaces.
Core Drivers	Keywords, technical health, backlinks, site speed, and domain authority.	Context, semantics, brand reputation, and external "trust signals."
Algorithms	Google’s ranking systems (evaluating structure and E-E-A-T).	Large Language Models (evaluating the "meaning" and "reliability" of a brand).
Goal	Higher rankings for specific search queries.	Being cited, recommended, and summarized as a primary source by AI.

AI SEO is not a replacement for traditional SEO—it is an evolution. While 90% of global users still use traditional Google Search, the rollout of Google AI Overviews has led to a drop of up to 25% in clicks for certain organic results. This happens because AI-generated answers often satisfy the user's intent immediately. A complementary strategy is essential to remain visible in both worlds.

How does AI SEO work in practice?

Identity & relevance: it helps AI understand exactly who your brand is and identifies the specific scenarios where your brand is the "right" answer.
Content optimization: it structures and optimizes your assets so LLMs can easily cite, summarize, and repurpose them in their responses.
Off-site reputation: it strengthens your presence beyond your own domain (PR, expert publications, mentions), as LLMs rely on a vast network of external sources.
Prompt analysis: it examines how users phrase their queries to uncover new consumer needs and actionable market insights.
Performance monitoring: it tracks which AI responses your brand currently appears in and identifies high-value opportunities where it should be present.

Why is it important?

AI SEO is now the natural extension of any classic SEO strategy because an increasing number of users rely on AI-driven solutions. Google’s LLMs, AIOs, and AI Mode are fundamentally reshaping the traditional user journey. If a brand fails to appear in these generative responses, it risks losing a critical and rapidly growing touchpoint with its potential customers.

How mbridge does it?

As an AI SEO agency, we integrate classic SEO with dedicated strategies for building visibility in AI Search, AI Overviews, and LLMs.

We leverage both industry-standard and proprietary tools (such as Google AIO Analyser and Crawlcore). Our know-how is rooted in our experience with services and e-commerce platforms of all sizes—including enterprise-level players. Our team consists of specialists with both agency and client-side backgrounds, allowing us to understand not just marketing tactics, but the core business challenges you face. As one of the few agencies with an in-house Data Analytics department, we offer a deep, data-driven approach to visibility and AI-driven traffic.

Through our infrastructure, experience, and specialized knowledge, we execute AI SEO strategies that secure:

Visibility in generative search results.
Reputation and strong brand authority signals.
Seamless interpretation of your content by language models.
Full-spectrum optimization tailored for the AI ecosystem.

Summary

AI SEO is search engine optimization enhanced by an understanding of how AI "thinks" and recommends. If you want your brand to be visible at the exact moment a user receives an answer, you need a strategy that encompasses LLMs, data integrity, and reputation across the entire digital ecosystem.

Why is visibility in AI-generated results and LLMs so important today?

Visibility in AI-generated responses represents the next frontier in the evolution of search. It doesn't replace traditional SEO; it expands its scope to new environments where users seek information and recommendations.

Today, consumers find answers in three primary ways:

Traditional SERPs (Standard Search Engine Results Pages).
AI-Integrated Search (Google AI Mode and Google AI Overviews).
Conversational LLMs (Direct interactions with ChatGPT, Perplexity, or Gemini).

A successful visibility strategy requires a dominant presence across all these environments.

How has user behavior changed?

An increasing number of users utilize AI to frame their questions—from simple queries like "What should I choose?" or "How do I do X?" to highly complex prompts aimed at solving multifaceted problems.

For brands, this doesn’t signal a departure from traditional search engines. Instead, it introduces an additional touchpoint where users can make decisions faster based on a single, synthesized response. For your brand, it means being present:

Where the user searches.
And where the user asks.

Why is this critical from a business perspective?

AI is beginning to play the role once held by price comparison sites, expert blogs, or user reviews. It is becoming the go-to engine for recommendations, often preceding the moment a user clicks on any specific result.

Being visible in AI responses offers distinct advantages:

Greater organic reach: expansion into a new, high-growth search landscape.
Early-stage influence: participating in the user's decision-making process before they even reach the SERPs.
Enhanced brand recall: AI models tend to reference the same trusted brands in similar contexts, reinforcing brand recognition.
Customer insights: gaining a deeper understanding of real user needs through the analysis of conversational prompts and questions.

This is not an alternative to SEO—it is a new channel that complements what traditional SEO has achieved for years.

How mbridge approaches this:

At mbridge, we treat LLM visibility as an integral part of an overarching SEO strategy, not as a standalone experiment. We analyze:

How your brand appears within AI Search and AI Overviews.
The specific contexts and attributes assigned to your brand by language models.
The competitive landscape—where and how your competitors appear in AI responses.
The intent-based questions users ask AI regarding your brand and industry.

Based on these insights, we bridge the gap between classic SEO and AI-driven actions, ensuring:

Optimized content: clearly interpretable by both Google algorithms and LLMs.
Authoritative reputation: strengthening your brand in the specific sources cited by AI.
Data integrity: correct interpretation of structured data, site architecture, and context.
Unified visibility strategy: a holistic approach covering both traditional and generative search environments.

Summary

Visibility in AI and LLM results is vital because it expands the traditional SEO space into a new decision-making arena. Brands that secure their presence in both—SERPs and AI Search—build a more comprehensive, resilient, and future-proof visibility strategy.

Does AI SEO work for every type of business—e-commerce, B2B, services, or publishing?

Yes. AI SEO is effective for all business models—including e-commerce, B2B, service providers, publishers, and personal brands. However, the approach varies significantly because the questions users ask AI differ depending on the industry.

AI SEO is not a "one-size-fits-all" solution. It is an evolution of classic SEO that considers how Large Language Models (LLMs) interpret brands, products, and content across different contexts. Therefore, an AI SEO strategy must be tailored to how users frame their queries within your specific sector.

E-commerce – AI as a shopping assistant

In AI Search, users frequently seek:

Product recommendations and comparisons ("What should I choose for...?").
Top-rated models in specific categories.
Reviews and curated lists.

AI can identify specific brands, stores, products, and sources. For e-commerce, AI SEO means:

Boosting visibility in generative recommendations.
Strengthening the reputation of categories and products.
Appearing in problem-solving and high-intent purchase queries.
Optimizing product data and content for seamless LLM processing.
Securing a new "placement" for product exposure.

B2B – AI as a knowledge source and decision driver

In B2B, users ask for:

The best industry solutions.
Expert advice and process optimization.
Tools, workflows, and vendor recommendations.

LLMs analyze substantive content, case studies, expert publications, and overall credibility (including testimonials and third-party mentions). AI SEO for B2B focuses on:

Building authority in the specific sources that AI cites.
Developing expert-led content and in-depth Q&A modules.
Strengthening E-E-A-T signals and professional citations.
Analyzing the contexts in which AI recommends specific providers.

Services – AI as a decision starting point

For service-based businesses, users often ask:

"Who is the best at...?" or "Who do you recommend for...?"
"How do I choose the right specialist for...?"

AI models point to specific companies if they recognize their reputation across trusted sources. AI SEO for services relies on:

Building local and topical visibility.
Amplifying brand mentions and verified reviews.
Creating consistent content that addresses real customer pain points.
Establishing a brand presence in industry publications and comparisons.

Publishing & content services – AI as an information aggregator

In this sector, AI often:

Summarizes content and cites original sources.
Recommends articles for further reading.
Uses publications to construct its primary answers.

AI SEO for publishers focuses on:

Content semantics and structured data.
Proper citation mapping and strategic linking.
The editorial quality of materials.
Optimization for informational and analytical prompts.

Why does AI SEO work across all industries?

Regardless of the category, users are moving their research phase to AI. For AI Search, the business category is less important than:

Content quality.
Brand reputation.
External trust signals.
Context (how effectively the brand solves the user's problem).

How mbridge does it?

At mbridge, we develop AI SEO strategies based on:

Analysis of user intent: examining how users in your specific industry phrase their questions.
Generative response mapping: analyzing how AI models generate answers for your specific market.
Source influence: identifying which sources have the most significant impact on language model decisions.
Advanced data insights: leveraging data from our AIO Analyser, site crawls, server logs, and competitor content analysis.

As a result, we precisely tailor our actions to your specific business type—whether it is an e-commerce store, a content portal, a service company, or a B2B brand.

Summary

AI SEO works for every business because it expands traditional search visibility into the spaces where users ask rather than just search. The key is a customized strategy, not a universal template.

Which website and content elements influence whether AI will cite my brand?

An LLM’s trust in a brand is not the result of a single factor; it is a combination of content quality, source credibility, and a consistent, strong brand image. Unlike traditional search algorithms, AI analyzes meaning, relationships, and brand reputation across multiple sources. Therefore, AI trust is built through a synergy of both on-site and off-site elements.

1. Jakość i struktura treści, które AI potrafi interpretować

LLM-y lepiej rozumieją treści, które są:

merytoryczne i kompletne,
jasno uporządkowane (nagłówki, listy, sekcje krok po kroku),
zdefiniowane (AI uwielbia definicje i precyzyjne pojęcia),
logiczne semantycznie (powiązania między podstronami, tematami i kategoriami).

AI chętniej cytuje treści, które odpowiadają na pytania użytkowników wprost, dlatego warto stosować:

sekcje Q&A,
listy rekomendacji,
instrukcje,
wyjaśnienia koncepcji.

To elementy, które LLM-y łatwo streszczają i włączają do odpowiedzi.

2. Dane strukturalne i kontekst techniczny strony

Aby AI mogła poprawnie interpretować markę, ważne są również elementy techniczne:

poprawnie wdrożone dane strukturalne (schema.org),
breadcrumbs,
logiczne linkowanie wewnętrzne,
czysty i łatwy do crawlowania kod,
szybkość działania i stabilność strony,
brak błędów indeksacji.

Modele AI korzystają z informacji o strukturze strony, aby zrozumieć:

hierarchię treści,
powiązania merytoryczne,
zakres ekspertyzy marki.

3. Elementy E-E-A-T, czyli sygnały wiarygodności i doświadczenia

Zaufanie AI mocno wynika z sygnałów, które tradycyjnie budują reputację:

autorzy podpisani imieniem, nazwiskiem i kompetencjami,
aktualizacje treści,
cytowanie źródeł,
prezentacja doświadczenia zespołu,
case studies,
opinie i recenzje,
przejrzyste informacje o firmie (kontakt, właściciel, dane rejestrowe).

Modele analizują je, aby ocenić, czy marka jest wiarygodna i może być rekomendowana w odpowiedziach.

4. Reputacja poza stroną

AI nie polega wyłącznie na Twojej domenie, ale sięga po informacje z wielu miejsc, np.:

portali branżowych,
artykułów eksperckich,
recenzji,
porównań,
serwisów opiniotwórczych,
social mediów,
baz wiedzy i Q&A.

Dlatego na zaufanie AI istotnie wpływa również to, jak marka jest przedstawiana poza własną stroną. Im więcej jakościowych treści na zewnętrznych stronach, tym większa szansa, że LLM uzna markę za wartościową.

5. Spójność informacji w całym ekosystemie

LLM-y szczególnie cenią spójność:

tych samych danych kontaktowych,
spójnych opisów produktów i usług,
spójnych nazw kategorii,
powtarzalnych atrybutów marki,
zgodnych opisów misji, działań, doświadczenia.

Niespójność sygnałów osłabia zaufanie AI i zmniejsza szansę na rekomendacje.

Jak podchodzimy do tego w mbridge?

W mbridge analizujemy wszystkie powyższe obszary - techniczne, contentowe i reputacyjne, aby zbudować profil zaufania dla modeli językowych, obejmujący:

semantyczne mapy treści,
dane strukturalne,
reputację w źródłach zewnętrznych,
spójność komunikacji,
konteksty, w których AI już wspomina markę,
i te, w których powinna być obecna.

Dzięki temu projektujemy strategię, która zwiększa szansę na to, że modele AI zauważą, zrozumieją i zarekomendują markę tam, gdzie użytkownicy podejmują decyzje.

Podsumowanie

Na to, czy AI zaufa Twojej marce, wpływa połączenie:

jakości treści,
poprawnej struktury technicznej,
mocnego E-E-A-T,
reputacji poza stroną,
i spójności informacji w całej sieci.

To kluczowe elementy, które decydują o widoczności w generatywnych wynikach wyszukiwania i są rozszerzeniem tradycyjnego SEO.

AI SEO

Your customers areasking AI. We make sure it recommends your brand.

THEY’VE TRUSTED US

AI has become the new brand touchpoint

of users still rely on traditional search engines like Google

growth in ChatGPT’s user base within just the last few months.

average drop in organic CTR for selected keywords following the introduction of AI Overviews (AiO).

SEO in the age of AI

AI SEO IS THE EVOLUTION OF SEARCH

AI DOESN'T REPLACE CLASSIC SEO

NEW OPPORTUNITIES FOR YOUR BRAND

AI isn’t changing the fundamental rules of SEO; it’s expanding its boundaries to include LLM positioning. At mbridge, we know how to leverage AI SEO to build authority exactly where the new era of search begins.

Our Approach to AI SEO

What does your brand gain with AI SEO?

LEARN MORE >

LEARN MORE >

LEARN MORE >

Why trust us?

years of market experience

brandssupported

team members

our Googlerating

See our propietary SEO tool

How Crawlcore protected revenue in a multi-million e-commerce business during an uncontrolled code change

Hear from our Clients about various projects

Our insights on AI SEO

Don’t just take our word for it. See the results we deliver.

SEO sessions

managed ad spend

revenue generated for Clients

Our AI SEO initiatives are powered by our dedicated specialists. Meet the team that will drive your website’s visibility across Search, AI, and LLMs.

Tomasz Klusek

Maciej Orpik

Joanna Alberska

Julia Kwaśnik

Łukasz Rusek-Ciupiński

Szymon Cierzniakowski

Wojciech Bębenek

Agata Menes

Urszula Żupnik

Kamila Trojanowska

Katarzyna Garczyńska

Marta Ogonowska

Maciej Orpik

AI doesn't replace SEO — it expands it

Why partner with us?

True partnership

Agile & adaptive approach

Comprehensive & result-oriented

Ready to launch your AI SEO & LLM positioning strategy? Let’s talk!

Our Digital Strategy team is looking forward to discussing your project and business goals.

[email protected]

+48 22 428 8 428

FAQ

What exactly is AI SEO, and how does it differ from traditional SEO?

Traditional SEO vs. AI SEO: The Core Differences

How does AI SEO work in practice?

Why is it important?

How mbridge does it?

Summary

Why is visibility in AI-generated results and LLMs so important today?

How has user behavior changed?

Why is this critical from a business perspective?

How mbridge approaches this:

Summary

Does AI SEO work for every type of business—e-commerce, B2B, services, or publishing?

E-commerce – AI as a shopping assistant

B2B – AI as a knowledge source and decision driver

Services – AI as a decision starting point

Publishing & content services – AI as an information aggregator

Why does AI SEO work across all industries?

How mbridge does it?

Summary

Which website and content elements influence whether AI will cite my brand?

2. Dane strukturalne i kontekst techniczny strony

3. Elementy E-E-A-T, czyli sygnały wiarygodności i doświadczenia

4. Reputacja poza stroną

5. Spójność informacji w całym ekosystemie

Jak podchodzimy do tego w mbridge?

Podsumowanie

Your customers are
asking AI.
We make sure it recommends your brand.

years of market
experience

brands
supported

team
members

our Google
rating