The global market for large language models, known by the acronym LLM, is expected to reach US$12.8 billion in 2025, according to research by the consulting firm For Insights Consultancy . The projection points to growth to US$59.4 billion in 2034, with a compound annual growth rate of 34.8% over the period.
The survey considers adoption trends in sectors such as technology, education, healthcare, and corporate services. The data was collected through market analysis, infrastructure investment projections, and interviews with companies in the sector.
The report suggests that the advancement of these technologies could reshape business strategies, influence investment decisions, and expand automation across various sectors of the economy.
What are LLMs and how do they affect daily life?
LLMs, short for Large Language Models, are language models trained on large volumes of text to understand, process, and generate natural language. These tools analyze linguistic patterns and produce automatic responses in text format.
In practice, they are behind solutions such as ChatGPT, Gemini, and Claude, as well as features like Google's AI Overviews, which displays direct search results based on information synthesized by artificial intelligence.
The impact of these technologies is already noticeable in different sectors. In customer service, LLM-based chatbots can answer frequently asked questions, route requests, and personalize communications.
In education, they assist students with summaries and quick explanations. In healthcare, they help professionals organize medical records and review clinical information. In corporate environments, they increase productivity by automating tasks such as text editing, document classification, and report generation.
These applications transform workflows and make processes more agile and data-driven.
Strategies for companies to stand out in LLM responses.
A brand's presence in the responses generated by LLMs depends on signals that these models extract from content available on the web. A study by Ahrefs, based on an analysis of 75,000 brands, shows that off-site factors (i.e., signals outside the institutional website) have the highest correlations with visibility in "AI Overviews" .
The main results of the study are: brand web mentions with a correlation of 0.664; brand anchors with 0.527; search volume for the brand with 0.392; and number of backlinks with 0.218. The study also emphasizes that correlation does not imply causation, but indicates which signals the models usually use as a reference.
For Felipe Cardoso, CEO of the off-page SEO and Digital PR agency Rank Certo , this transformation also has direct implications for the field of public relations.
“Communication departments have always worked to influence journalists, influencers, and search engines. Now, they need to learn how to influence language models. It’s not just a technical issue, it’s a strategic one. Whoever understands early on how to correctly feed the digital ecosystem with consistent signals will occupy spaces that previously depended on paid media or traditional organic ranking,” he adds.
Here are some practical recommendations for increasing brand visibility in environments powered by LLMs:
- Working on brand mentions on the web:
Invest in press relations, content partnerships, and campaigns that generate mentions of the company name on relevant portals. Mentions don't necessarily need to contain links. Texts that mention the brand help models recognize it as a relevant entity, increasing the chances of appearing in AI-generated responses.
- Optimize brand anchors and contextual links:
Establish link building strategies that use controlled variations of the brand name as anchor text. This practice reinforces entity signals and contributes to correct identification in search engines and in the results generated by LLMs.
- Increase brand search volume:
Combine on-site SEO techniques with branding and awareness campaigns to stimulate direct searches for the company name. The increase in this volume is one of the factors most strongly correlated with visibility in automated search results.
- Strengthen quality backlinks:
Even with a lower correlation than mentions, backlinks remain fundamental for consolidating digital authority. Prioritize links from trustworthy and contextually relevant websites, balancing PR efforts with technical SEO strategies.
- Structuring content for extraction:
Create pages with FAQs, executive summaries, and well-organized sections with structured data. This format facilitates automatic reading by LLMs and increases the chance of excerpts from the website being used in the answers.
- Monitor off-site signals:
Use brand monitoring and SEO tools, such as Ahrefs or similar, to track the evolution of mentions and links. Adjust campaigns and communication actions based on these indicators.
The projected expansion of the LLM market represents a significant economic movement, with direct impacts on technological infrastructure, business strategies, and information consumption dynamics.
For brands, adapting their digital presence and investing in signals of authority has become a central part of the battle for visibility in an environment increasingly mediated by artificial intelligence. Monitoring market indicators and applying consistent SEO and PR techniques are strategic steps to remain relevant in this new landscape.
