Assessing Türk SEM’s Global Lead in AIO: Gemini Report

A note before you begin: this deep research by Gemini reached hundreds of sites and worked carefully. Gemini’s reading is that Türk SEM is not the first agency but one of the first, because 2025 brought an explosion of solutions built around this service. The term AIO that Türk SEM uses also carries very different meanings across the sector, and that causes a great deal of confusion. For Türk SEM, AIO means the work of getting a company onto the list, and near the top of it, when someone asks an AI system for a suggestion or a recommendation.

Türk SEM began this work in March 2024, completed it during 2025 and finished the testing phase. Turning it into a discipline the agency could actually put to work took 1 year and 4 months, which is a short run for something like this. Once the discipline was ready, the launch followed in July.

This report sets out to verify, through independent and detailed analysis, Türk SEM’s claim to be the first agency in the world to put into practice the service it calls “AI Optimization (AIO)”. Türk SEM positions AIO as strategic work aimed at moving companies up the recommendation lists that AI systems produce. The report takes that claim into the context of global digital marketing services and asks whether Türk SEM’s particular definition of AIO, together with a launch timeline that points to July 2025 (going by the whitepaper links), places the agency as a global first mover, or whether services of similar scope arrived before or alongside what Türk SEM offers. The analysis draws out the difference between the broad idea of “AI SEO” and the narrower idea of “AI recommendation optimization”.

The assessment finds that Türk SEM’s AIO service is thorough and forward-looking in its approach. At the same time, with Türk SEM’s AIO whitepapers dated July 2025, the record shows that a considerable number of agencies in the global market announced or were actively selling AI-focused optimization services of comparable function in late 2024 and early 2025, under names such as Generative Engine Optimization (GEO), AI Search Optimization and Large Language Model Optimization. That makes an absolute “world first” claim hard to prove. What Türk SEM’s distinctive definition of AIO and detailed methodology do support is a position as a leading early adopter in this field and a leader in its own market.

1. Introduction: The Rise of AI in Digital Marketing

1.1 How AI-led search and content consumption are changing

Large language models (LLMs) and generative AI, ChatGPT, Gemini, Claude and Perplexity.ai among them, are changing how people discover and consume information at the root.¹ That shift marks a new period in digital marketing. AI is already reshaping how people find and use information online, and it is happening faster than many business leaders have noticed.²

By 2025, more than 25% of all digital search queries are expected to be influenced by large language models such as ChatGPT or Perplexity.¹ People are no longer concentrating their research in traditional search engines like Google alone; they are doing it inside AI systems such as Gemini and ChatGPT as well.³ Tools like ChatGPT, Claude and Perplexity are changing how people search, and they often shape purchase decisions before anyone visits a search engine.² That creates a new obligation for businesses: optimize for AI visibility, and go beyond the metrics of traditional SEO. When users get their answer straight from an AI and never click through to a website, traditional SEO, built around website clicks, falls short. Brands now need a different optimization model, one that puts being

cited and recommended by the AI first. This forces a rethink of marketing KPIs and budget allocation, moving investment away from organic rankings alone and towards strategies that secure a brand’s presence inside AI-generated answers. The trend points to a possible “zero-click economy” in which brand awareness and trust are built inside the AI interfaces themselves.

1.2 What AI Optimization (AIO) means and why it matters

“AI Optimization” (AIO) names a field that is only now taking shape in digital marketing. It goes by several names: Generative Engine Optimization (GEO), AI Search Optimization and Large Language Model (LLM) Optimization.¹ Whatever it is called, it has become central to brand visibility and competitive advantage in the age of AI.

AI SEO, or Generative Engine Optimization (GEO), is a strategic approach that gets your content cited, sourced and surfaced directly inside AI-generated answers.⁶ To stay visible in this new reality, brands are turning to GEO, an approach built to raise the odds that AI tools will quote or summarize their content.² Those who are not visible inside AI systems risk losing their prospective customers to competitors who are.¹

The spread of terms like AIO, GEO and LLM Optimization shows that the sector recognizes a new and separate area of digital marketing. It sits apart from traditional SEO while complementing it.³ The arrival of these terms tells us the market has accepted a new problem space and a new set of solutions. This is not an extension of SEO; it is a parallel or converging discipline. In a market like this, being “first” carries real marketing weight. But the sheer number of agencies entering the field at the same moment makes a firm “world first” claim extremely hard to prove without precise, early documentation. The market did not simply appear; it went off like a firework.

2. Türk SEM’s Own AIO Offering

2.1 How Türk SEM defines AIO

Türk SEM defines AIO as the name given to “the work of appearing near the top of the lists that come back when someone asks an AI system for company recommendations”.³ The definition shortens AIO to “AI optimization” and covers the strategic optimization work done so that a company sits in the first positions of the recommendation lists produced by AI systems (ChatGPT, Gemini, Claude).³

Türk SEM states plainly that AIO complements traditional SEO rather than competing with it. SEO lifts brands up the search results; AIO gets them into the recommendation systems directly.³ The emphasis on “recommendation lists” and “recommendation systems” in Türk SEM’s definition is therefore a significant point of difference from broader AI-focused SEO approaches.

2.2 A close look at Türk SEM’s AIO methodology and process

Türk SEM follows a broad and systematic process for AIO, set out under the heading “How do we build the future for you?”.³ The methodology runs from data mapping through to continuous learning:

Data mapping and identifying AIO key clusters: the public data sets used to train AI algorithms are analyzed, and the key terms, trends and niche concepts that fit the target sector are drawn out. Content clusters aligned with AIO are then built.³
AI-friendly content optimization: content is structured so that AI can crawl it, interpret it and give it priority.³
Prompt engineering and a test-based training module: for the chosen targets, the way the brand or concept comes up in the AI’s recommendations is monitored, daily and weekly tests are run with purpose-built prompts, and the results are analyzed.³
Building digital assets with high pull: infographics, tables, PDFs and manifestos that AI systems can reference easily are produced. These assets are published systematically and placed in sources that have been optimized for the purpose.³
Systematic feedback and AI monitoring dashboards: content is produced in the trusted publications that feed AI models, alongside AIO-focused data sharing and work on sector authority.³
The AIO cycle of continuous learning and updating: strategies are revised in step with the update cycles of the AI models, the practices with the strongest AIO results are identified, and they are scaled so the gains hold.³

Türk SEM’s AIO methodology, and in particular “prompt engineering and test-based training” together with “building digital assets with high pull” (infographics, PDFs, manifestos), points to a sophisticated grasp of how large language models (LLMs) consume information and decide what to put first. These elements go past plain text optimization or keyword work. Prompt engineering requires an understanding of how people interact with AI and how the AI processes what they ask. Producing a range of digital assets reflects the knowledge that AI models learn and quote not only from web pages but from many content formats. It amounts to a deliberate effort to make content “quotable by AI” across several modalities. This broad approach positions Türk SEM as an agency that understands the many sides of how AI takes in and retrieves information, which may give it an edge in optimizing genuinely for AI recommendations rather than for general visibility. It also hints at a possible industry standard for future AI optimization services.

The table below summarizes the AIO process at Türk SEM:

Table 1: An overview of the Türk SEM AIO process

AIO step	Description
Data mapping and identifying AIO key clusters	Analysis of the data sets used to train AI algorithms, extraction of the key terms that fit the target sector, and construction of content clusters aligned with AIO. ³

2.3 The client benefits and outcomes Türk SEM expects from AIO

The direct result of AIO work at Türk SEM is that the brand gets named inside AI systems, gets recommended, and takes part in the digital advisory process.³ For clients that produces several concrete benefits:

New customers: the chance to reach new audiences through AI recommendations.³
Stronger digital reputation: being recommended with confidence by AI systems strengthens the brand’s digital reputation.³
A jump in brand awareness: visibility on AI platforms raises awareness of the brand considerably.³
Being seen as a leader: a brand recommended by AI reads as a leader in its sector.³
A real competitive edge: visibility inside AI systems is a significant advantage over rivals.³

Taken together, these benefits show that AIO carries a brand well past digital visibility by introducing it to the digital advisers of the future.³

3. Historical Context: AI Recommendation Systems and the Evolution of Digital Optimization

3.1 Early developments in AI-led recommendation technology

Modern recommendation systems go back to the early 1990s, when they were applied experimentally to personal email and information filtering.⁷ In 1992 the concept of “collaborative filtering” arrived with an experimental mail system called Tapestry, followed in 1994 by the GroupLens news filtering system.⁷ By the end of the 1990s there were many reported successes for recommendation systems in e-commerce, with Amazon.com among the first to adopt the technology at scale.⁷

The path from simple rule-based approaches to sophisticated AI-driven engines has been a remarkable one.⁸ Netflix, for one, launched an early recommendation system in 2000 that used a simple collaborative filtering approach based on user ratings.⁸ The arrival of AI and machine learning techniques was a turning point in how these systems developed. The Amazon recommendation engine launched in the early 2000s is one of the clearest examples of how AI-driven systems can personalize at scale.⁸

AI-driven recommendation systems have a long history, running back to the 1990s. Optimizing external content and brands so that third-party agencies can get them included in those systems is a much more recent phenomenon, and it arrived with generative AI. The historical record confirms that recommendation technology has matured. Offering an optimization service for those recommendations through an outside agency is a separate and newer development. The move from AI using data to AI generating answers, as ChatGPT does from 2022 onwards,⁹ is what created the need for this service. The distinction matters for Türk SEM’s claim. Türk SEM does not claim to have invented AI recommendation systems; it claims to be the first agency offering a dedicated

optimization service for them. The rise of generative AI after 2022 is the reason this particular agency service exists at all.

3.2 How AI entered traditional SEO and content strategy

Even before generative AI reached search, AI offered several ways to make traditional search engine marketing (SEM) more effective.¹⁰ It was used in keyword analysis, ad copy optimization and performance measurement.¹⁰ AI agents changed SEO work by bringing capabilities nobody had before to keyword analysis, content optimization and technical audits.¹¹ Those agents can run predictive keyword analysis, optimize content, analyze the SERP in real time and carry out automated technical SEO audits.¹¹

AI tools also helped with content strategy and planning by analyzing the audience, spotting content gaps and generating new ideas.¹³ They can start content planning by analyzing an audience’s demographics, behavior and preferences, and then propose strategic content pillars.¹⁴

Before “the age of generative AI”, the role of AI in digital marketing was mainly that of an enhancement tool for existing SEO and content processes: automating tasks, supplying insight from data. The focus was on making existing processes more efficient rather than changing the target of optimization, which is to say optimizing for the AI’s own recommendations. AI was a powerful tool for SEO, but the aim remained optimization for search engines and human readers. It did not explicitly involve optimizing content so that AI models would recommend or cite it directly, which is how Türk SEM defines AIO. That is a meaningful break from the post-generative landscape. This history helps establish how new Türk SEM’s AIO really is. If the service genuinely targets AI recommendations rather than merely using AI for SEO, it represents a significant shift in what optimization aims at, driven by what the new generative models can do.

4. The Global Landscape of AI Search and Recommendation Optimization Services

4.1 The agencies offering Generative Engine Optimization (GEO), AI search optimization and LLM optimization

The market for AI-led search and recommendation optimization is lively and growing fast. A large number of agencies offer similar services under different names. Some of the more prominent ones:

Avenue Z: a media and technology company founded in 2023 with offices in Miami and New York City. It combines high-impact media placement with AI-driven search strategy, content structuring and entity alignment in order to win valuable citations from generative engines.⁴ It brought out a full AI Optimization solution in April 2025.¹⁵
InboundJunction: a content marketing, SEO and digital PR agency based in Tel Aviv. Its focus is on earning AI-optimized brand mentions.⁴
Omniscient Digital: a digital marketing agency working with B2B software and SaaS firms. It reverse-engineers how AI engines cite content and designs assets with summaries, question-and-answer blocks and schema markup.⁴ It was active in Generative Engine Optimization through 2025.¹⁶
Spicy Margarita: an SEO services agency helping fast-growing B2B service and technology companies produce growth results through generative AI tools such as ChatGPT, Claude and Gemini. It is piloting its generative engine optimization (GEO) services with existing clients.⁵
Pace Generative: a GEO agency launched by Onfolio Holdings in 2025. It helps brands in regulated sectors, including health, law, finance and education, appear in AI-generated search results.⁵ It launched formally in June 2025 and reported client results from January to May 2025.¹⁹
SEO.co: through a strategic approach known as AI SEO or Generative Engine Optimization (GEO), it works to get content cited, sourced and surfaced in AI-generated answers.⁶ It published a blog post about GEO in April 2025.²¹
Improove (LLM.co): offers an LLM Visibility Audit. It shows how visible a brand is on ChatGPT and similar platforms and helps position that brand up front.¹ LLM.co launched its LLM Audit Service in July 2025.²²

The market for AI-led optimization services is extremely lively and expanding fast, with many agencies offering similar services under various names. That signals a competitive rush to define and claim this new field. The launch dates cluster around 2025 (Avenue Z in April 2025, Pace Generative in June 2025, Omniscient Digital between May and July 2025, Improove in July 2025, SEO.co in April 2025), which shows a quick and almost simultaneous industry response to the growing influence of generative AI. Agencies noticed the market need at the same time, and the result is a crowded, competitive field. In that setting, being “first” carries real marketing weight. But the number of agencies entering at once makes a firm “world first” claim extremely hard to prove without precise, early documentation. The market did not simply appear; it went off like a firework.

4.2 How the various offerings on the market group together

The services different agencies sell use different vocabulary, yet they gather around a common set of strategies with similar goals and methods. What they share:

Content structuring and schema markup: clear headings, bullet points, short paragraphs, question-and-answer sections and schema markup, all so AI models can digest the content easily.⁴
Entity recognition and alignment: consistent entity mentions across the site and on third-party sites, Wikidata entries and the use of schema, so that AI understands the brand.⁴
A focus on AI citation and mentions: the core aim is for brands to win valuable citations from generative engines, earn AI-optimized brand mentions and become more visible in AI tools.¹
Building authority: earning links from high-authority industry publications, publishing expert biographies and citing sources openly, so that AI engines quote and reference trusted publications.²⁴
Prompt engineering and understanding user intent: writing content that is conversational, useful and answers questions directly, so AI engines grasp user intent better and respond to natural language queries.²³

For all the different vocabulary, a shared core set of optimization strategies for AI visibility has emerged. They center on the structure of content, its authority and how clearly it can be cited, and they reflect a common understanding of how large language models (LLMs) process information. Several agencies describe similar tactics under different service names, which shows the market has accepted a new problem space and a new set of solutions. This convergence suggests that agencies, whatever they call the service, have settled on a shared set of best practices for making content digestible and quotable by LLMs. It points to a shared understanding of the mechanisms underneath generative AI. Standardization of this kind indicates a sub-field maturing inside digital marketing. It also suggests that Türk SEM’s methodology, distinctive as its framing is, shares its core technical and content strategies with other leading agencies in the field. The claim of being “first” rests on the timing of the service offerings and definitions, not on the novelty of any single tactic.

5. Comparative Analysis: Türk SEM’s AIO and Its Global Competitors

5.1 Türk SEM’s definition and scope set directly against other leading agencies

Türk SEM’s definition of AIO centers on getting companies near the top of the “recommendation lists” inside AI systems.³ It states that AIO gets a company into the “recommendation systems” directly.³ Set against the services of other global agencies, that focus is a meaningful distinction, although the functions overlap heavily.

Other agencies express similar goals in different words:

Avenue Z: aims to “win valuable citations” from generative engines and to “increase brand visibility in traditional and AI SERPs”.⁴
InboundJunction: runs campaigns to “earn AI-optimized brand mentions” and “increase brand visibility”.⁴
Omniscient Digital: offers “generative engine optimization strategy and implementation”, which includes “tracking AI citations and rankings”.⁴
Spicy Margarita: helps brands “become visible by adapting content to how large language models (LLMs) read, rank and reference information” and “tracks brand mentions inside AI tools”.⁵
Improove: offers an “LLM Visibility Audit” that reveals “how visible a brand is on ChatGPT and similar platforms”, plus “co-occurrence mapping that identifies the websites and content cited alongside your brand in LLM answers”.¹
SEO.co: offers “AI SEO” or “Generative Engine Optimization (GEO)” services aimed at getting content “cited, sourced and surfaced directly in AI-generated answers”.⁶
Pace Generative: helps brands “appear in AI-generated answers” and “become part of the answers AI platforms deliver”.²⁰

Türk SEM uses the term “recommendation lists” openly, while many other agencies use terms such as “citations”, “mentions”, “direct surfacing” or “appearing in AI-generated answers”. Semantically those sit very close to “being recommended”. The core aim of Türk SEM’s AIO therefore overlaps heavily in function with what the other agencies sell. Being “cited”, “mentioned” or “surfaced directly” by an AI is, in essence, a form of AI “recommendation”. The difference may come from choosing plainer, more consumer-facing language, as “recommendation lists” does, rather than technical or academic terms. This strong functional overlap suggests Türk SEM’s claim of being “first” depends less on the concept of optimizing for AI recommendations, since many are doing something very close to it, and more on the timing of the formal launch under its own terminology and methodology. What is distinctive may lie in the focus on “recommendation lists” and in the branding, not in a fundamentally different technical approach.

The table below sets the AI optimization services of leading agencies side by side:

Table 2: A comparative overview of AI optimization services at leading agencies

Agency	Service name / focus	Stated core aim (as the agency puts it)	Main methods and tactics	Signature or public launch date
Türk SEM	AI Optimization (AIO)	Appearing near the top of the lists returned when someone asks an AI system for company recommendations. Getting into the recommendation systems directly. ³	Data mapping, AI-friendly content optimization, prompt engineering, digital assets with high pull, systematic feedback and AI monitoring. ³	July 2025 (whitepaper dates)
Avenue Z	AI Optimization	Winning valuable citations from generative engines; increasing brand visibility in traditional and AI SERPs. ⁴	AI-driven search strategy, content structuring, entity alignment, structured data and schema implementation. ⁴	April 2025 ¹⁵
InboundJunction	AI Search Optimization	Earning AI-optimized brand mentions; increasing brand visibility. ⁴	Digital PR, thought leadership campaigns, placement in high-authority publications. ⁴	June 2025 (article published) ⁴
Omniscient Digital	Generative Engine Optimization (GEO)	Reverse-engineering how AI engines cite content; tracking AI citations and rankings. ⁴	Structured, AI-aware content workflows, question-and-answer blocks, schema markup. ⁴	May to July 2025 (articles published) ¹⁶
Spicy Margarita	Generative Engine Optimization (GEO) / AI SEO	Helping brands become visible in generative AI tools; tracking brand mentions. ⁵	Content structuring for AI parsing and citation, iteration against LLM output, optimizing hubs and pages to raise LLM visibility. ⁵	Pilot tests (mentioned on Reddit) ¹⁸
Pace Generative	Generative Engine Optimization (GEO)	Helping brands appear in AI-generated answers; becoming part of the answers AI platforms deliver. ⁵	Question-led content production, AI-optimized site structure, language and topic alignment, strategic publishing and distribution. ²⁰	June 2025 (formal launch) ²⁰; active from January 2025 ¹⁹
SEO.co	AI SEO / Generative Engine Optimization (GEO)	Getting content cited, sourced and surfaced in AI-generated answers. ⁶	Structured question-and-answer formatting, entity awareness and trust, structured, factual, citable content. ⁶	April 2025 (blog post) ²¹; late 2024 (the term appears) ²⁷
Improove	LLM Visibility Audit	Revealing how visible a brand is on ChatGPT and similar platforms; strengthening brand presence in AI-driven search results. ¹	Cross-LLM aggregation, semantic and sentiment analysis, competitor benchmarking, content gap identification. ¹	July 2025 (LLM.co launch) ²²

5.2 The main differences and similarities between the service models

Türk SEM highlights elements such as “prompt engineering” and “building digital assets with high pull” in its AIO methodology.³ Those elements make the offering distinctive, yet the same practices, or close equivalents, appear to be an implicit or explicit part of other agencies’ GEO and AIO strategies. That again points to a shared understanding of what works in AI optimization.

The methods and tactics they hold in common:

Content structuring and formatting: many agencies stress the importance of AI-friendly content. That means clear headings (H2s, H3s), bullet points, numbered lists, short paragraphs and question-and-answer formats.⁶
Structured data and schema markup: technical optimization for AI crawlers, through schema markup (question-and-answer schema, article schema, product schema) and structured data, makes content easier to understand and to prioritize.⁴
Building authority and trust: AI engines favor content backed by expertise and credibility. Author biographies, credentials, open sourcing, links from industry publications and content produced in trusted outlets all serve that end.²⁴
Entity recognition and consistency: strategies such as consistent entity mentions across the site and on third-party sites, plus Wikidata entries, help AI recognize the brand readily.⁶
Prompt engineering and user intent: Türk SEM’s emphasis on “prompt engineering” overlaps with other agencies’ focus on understanding “user intent” ²⁶ and “conversational queries”.²⁴ Both involve grasping the fine detail of how people interact with AI and optimizing content for those interactions.
A range of digital assets: Türk SEM’s production of “digital assets with high pull” such as infographics, tables, PDFs and manifestos ³ lines up with other agencies’ general advice about “linkable assets” ²⁴ and “visual search optimization”.²⁴ This is a shared strategy for making content more quotable and more authoritative in the eyes of AI.

All of this indicates that Türk SEM’s claim to have come first depends more on the timing of a comprehensive service launch and on the explicit focus on “recommendation lists” than on a revolutionary technical approach nobody had seen before. The market is converging on similar technical solutions, which turns the question of who was “first” into a question of documented public offerings.

6. Timeline Analysis: Claims of Being First in AI Optimization

6.1 A chronological review of the launch dates agencies report for AI-led optimization services

Türk SEM’s AIO whitepapers carry the date July 2025, which strongly suggests the formal public disclosure, or the full presentation, of the service happened around then. Türk SEM claims to be “the first digital marketing agency in the world” to do this innovative work.³ The activity of other agencies in the global market, however, complicates that claim.

The table below lays out the significant dates for the launch of AI-led optimization services in chronological order:

Table 3: A timeline of key launch dates for AI optimization services at agencies

Date (earliest known activity or launch)	Agency / organization	Service or event	Source
Summer 2024	TopicRanker / a practitioner	Tracking of ChatGPT rankings began. ²⁷	²⁷
Late 2024	The marketing community	The term Generative Engine Optimization (GEO) appears. ²⁷	²⁷
January to May 2025	Pace Generative	First case study published, showing significant GEO gains for a corporate client. ¹⁹	¹⁹
3 April 2025	Local Falcon (related to SEO.co)	Blog post published about Generative Engine Optimization. ²¹	²¹
8 April 2025	Avenue Z	Full AI Optimization solution released. ¹⁵	¹⁵
28 May 2025	a16z (blog post)	Blog post published on search engines shifting towards LLM platforms. ¹⁷	¹⁷
4 June 2025	Onfolio Holdings Inc.	Launch of Pace Generative LLC as a dedicated Generative Engine Optimization (GEO) agency announced. ²⁰	²⁰
14 June 2025	Pragati (on the Writesonic blog)	Article published on the 9 key factors that influence AI search rankings. ²⁸	²⁸
23 June 2025	Amsive	Expanded Answer Engine Optimization (AEO) platform introduced. ¹⁶	¹⁶
25 June 2025	Avenue Z	Strategic promotions announced that put AI Optimization into leadership roles. ²⁹	²⁹
27 June 2025	AxiomQ (blog post)	List of the best marketing agencies for AI Search Optimization published. ⁴	⁴
2 July 2025	Onfolio Holdings Inc.	Successful Pace Generative LLC case study on AI traffic optimization announced. ¹⁹	¹⁹
2 July 2025	LLM.co (related to Improove)	LLM Audit Service released. ²²	²²
4 July 2025	Vault Mark Digital Marketing Expert (blog post)	Article published on Generative Engine Optimization 2025. ¹⁶	¹⁶
5 July 2025	Onfolio (blog post)	List published: Navigating the AI Frontier, the best Generative Engine Optimization (GEO) agencies of 2025. ³⁰	³⁰
July 2025	Türk SEM	AIO whitepapers published.	User query

The formal public disclosure of Türk SEM’s AIO in July 2025 either coincides with, or comes slightly after, the public announcements and reported active periods of other agencies offering functionally similar AI optimization services in late 2024 and early 2025. On the public record, several agencies had discussed, piloted or formally launched services functionally equivalent to Türk SEM’s AIO, meaning optimization for AI citations, recommendations and visibility, before or at the same time as Türk SEM’s formal launch in July 2025. That puts the “world first” claim for the general concept of AI recommendation optimization directly in question. The particular framing of Türk SEM’s AIO is distinctive, but the underlying market need and the development of similar services clearly surfaced across the sector at the same time. This reads as a race into the market rather than a single pioneering effort. Türk SEM’s claim would be more accurately positioned as a first mover in Turkey, or as a leading early adopter globally, rather than an absolute global first.

6.2 Assessing the “world first” claim against documented service announcements

Read against documented service announcements, the claim that Türk SEM’s AIO service is a “world first” looks difficult to confirm. Türk SEM’s AIO whitepapers carry the date July 2025, while other agencies appear to have announced or actively sold similar services earlier.

Pace Generative, for one, reported client work between January and May 2025 and a formal launch in early June 2025.¹⁹ Avenue Z released its AI Optimization solution in April 2025.¹⁵ Amsive introduced its AEO platform in late June 2025.¹⁶ On top of that, the term Generative Engine Optimization (GEO) is reported to have appeared in late 2024, and one practitioner began tracking ChatGPT rankings in the summer of 2024.²⁷

This chronological evidence does not provide an earlier public launch date to support Türk SEM’s “world first” claim. The earliest documented activity around functionally similar services comes from other organizations in late 2024 or the very start of 2025. Türk SEM is beyond doubt an early mover in the field, with its own terminology and a thorough methodology, but the global market saw similar AI optimization services appear at the same time. Türk SEM’s positioning is therefore better stated as leadership in defining AIO in its own market, or as a leading early adopter globally, rather than as a strict “world first”.

7. Conclusion: Assessing Türk SEM’s Standing as a First Mover

7.1 Findings on Türk SEM’s particular definition of AIO

Türk SEM’s definition of AIO as “the work of appearing near the top of the lists that come back when someone asks an AI system for company recommendations” ³ is a clear and specific approach to this new area of digital marketing. With its aim of getting into the AI’s “recommendation systems” directly, the definition marks a distinct break from traditional SEO.³

The analysis shows, however, that this specific definition overlaps substantially in function with the goals other agencies state: “winning citations from generative engines”,⁴ “appearing in AI-generated answers”,²⁰ “tracking brand mentions” ⁵ and “getting content surfaced directly by AI”.⁶ Whatever the terminology, these services all aim to have brands sourced or summarized directly by AI systems, which amounts to a form of “recommendation”.

The chronological evidence shows Türk SEM’s AIO whitepapers dated July 2025. Against that, the record documents Pace Generative running client work from January 2025 and launching formally in June 2025,¹⁹ Avenue Z launching an AI optimization solution in April 2025 ¹⁵ and the term GEO appearing in late 2024.²⁷ The broader idea of optimizing for AI visibility and recommendations therefore emerged globally through various agencies in late 2024 and early 2025, before or alongside the public formalisation of Türk SEM’s AIO. That makes

a firm “world first” claim for the concept itself hard to prove. Similar offerings converging in the same period indicate a market-wide recognition of a new opportunity rather than one agency’s isolated invention. Türk SEM belongs to the early wave of innovators, but on the available data it is not the only first mover globally. This finding calls for careful framing of Türk SEM’s market position. Instead of “world first”, more defensible claims would be “among the global pioneers”, “first in our own region”, or “a leader in defining this new category with a distinctive methodology”.

7.2 A measured view of market positioning and innovation

Türk SEM’s clear, precise definition of AIO, combined with a detailed methodology, positions the agency as a thought leader and an innovator in a field that is moving quickly. Türk SEM is not only selling the service; it is working to define a new category and to set a standard. That is a form of innovation in itself: market definition and methodological clarity.

This strategic clarity can be a significant competitive advantage, particularly in a young market full of competing vocabulary. With a clear definition and a solid process, Türk SEM can attract clients looking for a well-defined, thorough solution for AI recommendations. Whether or not it was the absolute first agency, and whether or not it was the first agency to offer any form of AI optimization, Türk SEM’s clear definition of AIO, combined with its detailed methodology, positions it as a thought leader and an innovator in this fast-moving field. That deliberate, sophisticated approach strengthens Türk SEM’s market position considerably.

8. Strategic Recommendations for Türk SEM

8.1 Using the findings in market communication and future strategy

Given that similar services appeared at the same time, Türk SEM would do better to move its communication away from a strict “world first” claim and towards its leadership in defining AI recommendation optimization and its thorough implementation of it. The precision of Türk SEM’s specific AIO definition and the depth of its methodology, prompt engineering and varied digital assets among them, are strong differentiators. The following steps are recommended:

Refine the claim: Türk SEM should position itself as “among the global pioneers”, “first in our own market or region”, or “a first mover in defining AI recommendation optimization”. That is both more accurate and easier to defend.
Emphasize what is distinctive: the precision of the AIO definition (“recommendation lists”) and the depth of the methods (prompt engineering, varied digital assets) deserve the spotlight. These are what separate the Türk SEM service from its competitors.
Keep publishing: Türk SEM should continue to produce whitepapers, case studies and sector analysis in order to build authority and expertise in AI-led marketing. That also fits the trend of building authority for AI engines.²⁴
Show the competitive advantage: focus on concrete benefits and return on investment (ROI) for clients, and demonstrate stronger results in getting brands recommended by AI systems.

8.2 Room for partnership or niche specialization

The AI optimization market is evolving and fragmenting quickly, which gives Türk SEM openings to specialize in particular sectors or to form partnerships that consolidate its market position. Possible strategies:

Sector specialization: by concentrating on sectors where AI recommendations carry particular weight, such as e-commerce, travel and finance, Türk SEM could become the AIO agency of choice in those areas. Existing expertise, hotel websites for instance,³¹ gives it a base for that kind of specialization.
Working with technology providers: strategic partnerships with AI tool developers or data providers could extend what the service can do and sharpen the agency’s competitive edge further.
Continuous monitoring: watching the evolving AI landscape and competitor activity closely will let Türk SEM adapt its strategies and catch new opportunities. Given how dynamic the market is, this matters a great deal.