A business can rank first on Google and still lose the click. As AI-generated answers increasingly appear alongside traditional search results, search visibility is becoming less about where a webpage ranks and more about whether its information is selected, summarized and cited by AI systems. Redefine ROI is responding by incorporating LLM optimization, Generative Engine Optimization and Answer Engine Optimization into its broader SEO services.

When Ranking No Longer Guarantees the Click

For years, SEO reporting revolved around a relatively simple hierarchy: rankings, impressions, clicks and conversions.

That model is becoming harder to interpret.

A company can maintain a first-page or even first-position ranking while seeing fewer users reach its website. One reason is the growing presence of AI-generated summaries that answer search queries directly on the results page.

Redefine ROI, a digital marketing agency led by founder Mrinal Kaushik, says the change has prompted it to rethink how it approaches organic search for startups, small and midsize businesses and enterprises.

The agency is incorporating LLM optimization into its existing SEO engagements rather than positioning it as a separate premium service.

The work is designed to help business content become easier for systems such as Google AI Overviews, ChatGPT, Perplexity and Gemini to understand, verify and potentially cite.

The shift reflects a larger change in search marketing: ranking a webpage is no longer the only visibility objective.

AI Answers Are Changing the Search Funnel

Google’s AI Overviews and similar answer interfaces from other technology companies introduce another layer between a search query and a website.

Instead of scanning several blue links, users can receive a synthesized answer that draws information from multiple sources.

Pew Research Center’s analysis of 68,879 Google searches found that traditional result links were clicked in 8% of visits when an AI summary appeared, compared with 15% when there was no AI summary. Users clicked links directly within the AI summaries only 1% of the time.

The behavior is not limited to a small group of early adopters.

A separate Pew survey published in June 2026 found that 60% of U.S. adults say they have read AI summaries at the top of search engine results.

For marketers, the implications are significant.

A search result can still generate brand exposure even when it does not generate a website visit. The brand may be mentioned, summarized or cited inside the answer that the user reads.

That creates a new measurement problem.

Traditional SEO platforms are optimized around rankings and traffic. AI visibility requires marketers to understand whether their brand appears in generated answers, what information AI systems associate with it and which sources are being cited.

Redefine ROI Adds LLM Optimization to SEO

Redefine ROI says its updated SEO approach incorporates LLM optimization, GEO and AEO into standard organic-search engagements.

The agency’s work includes content auditing and restructuring, structured data and schema implementation, and tracking of AI citations alongside conventional organic performance.

The objective is not simply to insert keywords into content.

AI systems need to understand entities, relationships, facts and context. A company page, for example, needs to make clear what the business does, which markets it serves, which products or services it offers and why it is credible.

Structured data can help search engines interpret certain types of information, while clearly organized content can make important facts easier to identify.

The broader principle is similar to traditional technical SEO: make information accessible to machines while maintaining useful content for humans.

The difference is that the destination is no longer exclusively a ranked search-results page.

From Search Rankings to AI Citations

Ahrefs’ analysis of 300,000 keywords found that the presence of an AI Overview was associated with a 34.5% lower average click-through rate for the top-ranking page on comparable informational queries.

That does not mean every AI Overview causes the same decline, nor does it establish that AI summaries are solely responsible for changes in traffic.

It does, however, demonstrate why ranking position alone is becoming an incomplete measure of search performance.

Goodfirms’ 2026 survey of more than 100 SEO and marketing professionals found that 43% identified AI and LLM optimization as a core strategy, while only 14% reported tracking AI citation visibility.

That gap is becoming an important opportunity for agencies.

If brands are increasingly being discovered through AI-generated answers but most marketers are not measuring that exposure, conventional SEO reporting risks missing part of the customer journey.

What LLM Optimization Actually Means

LLM optimization is often used interchangeably with terms such as GEO and AEO, although the terminology is still evolving.

At a practical level, the objective is to make a company’s information understandable and trustworthy across AI-driven discovery systems.

That can involve several layers.

Content structure helps systems identify direct answers, definitions, facts and relationships.

Entity optimization makes it clearer which company, product, service or individual is being discussed.

Structured data provides machine-readable information for search engines.

Authority building gives AI systems more external evidence with which to evaluate a business.

Content consistency reduces conflicting information across a company’s website and third-party sources.

Citation monitoring helps marketers determine whether their content is actually appearing in AI-generated responses.

This changes the question marketers ask.

Traditional SEO asks: Where do we rank?

AI-search optimization increasingly asks: Are we part of the answer?

The Competitive Landscape Is Expanding

Google remains central to search, but marketers now have to consider a broader ecosystem.

Microsoft is integrating AI into Bing and Copilot experiences. Google is expanding AI-powered search through AI Overviews and related products. OpenAI’s ChatGPT, Anthropic’s Claude, Perplexity and Google’s Gemini are all part of an emerging environment in which users can discover information without navigating a traditional search-results page.

That creates a fragmented visibility landscape.

A company could be highly visible on Google but poorly represented in ChatGPT. Another might receive strong citations in an AI answer engine while generating relatively little conventional organic traffic.

For enterprises, the result is another layer of digital discoverability to manage.

The Measurement Problem May Be Bigger Than the Optimization Problem

The biggest challenge for businesses may not be producing content that AI systems can understand.

It may be proving that the effort generated commercial value.

An AI-generated answer can influence a purchase without producing a measurable click. A user may see a company recommended by an AI assistant, remember its name and later search for the brand directly.

Traditional analytics can struggle to connect those steps.

That means AI-search reporting will likely need to evolve beyond simple referral traffic.

Brands may eventually track AI citations, branded search growth, assisted conversions, share of AI-generated recommendations and changes in how AI systems describe their products or services.

This is particularly important for enterprise marketers, where search visibility is only one component of a larger customer journey.

SEO Is Becoming a Multi-Surface Visibility Strategy

Redefine ROI’s decision reflects a broader industry transition.

SEO is no longer confined to optimizing webpages for a ranked list of links. Search is becoming a collection of interfaces, including traditional results, featured snippets, maps, AI summaries, conversational assistants and other answer-driven experiences.

That does not make traditional SEO obsolete.

Technical accessibility, authoritative content, strong information architecture, relevant keywords and high-quality backlinks remain important foundations.

Instead, the definition of visibility is expanding.

The companies that adapt earliest may be those that stop treating rankings as the final objective and begin measuring whether their information is discoverable wherever customers ask questions.

In an AI-driven search environment, being ranked is useful.

Being understood may be even more valuable.

Market Landscape

Search is moving toward a model in which users increasingly receive synthesized answers instead of navigating through lists of websites.

Pew Research Center found that AI summaries appeared in 18% of the Google searches it analyzed in March 2025, with longer, question-based searches more likely to generate them.

At the same time, Goodfirms’ 2026 research indicates that marketers are increasingly adopting GEO while measurement remains immature.

For agencies, this creates a new service category around AI visibility management.

The competitive landscape includes traditional SEO platforms, specialist GEO and AEO providers, enterprise marketing agencies and technology vendors building tools to monitor AI citations.

The strategic distinction will increasingly be between optimizing for traffic alone and optimizing for visibility, authority and influence across multiple discovery surfaces.

Top Insights

• AI-generated search summaries are reducing traditional result clicks, forcing SEO teams to measure visibility inside AI answers alongside rankings, traffic and conversions.
• Redefine ROI is incorporating LLM optimization, GEO and AEO into SEO engagements to help brands become more understandable across AI-driven discovery platforms.
• Pew Research found traditional result clicks fell from 15% to 8% when Google AI summaries appeared, highlighting the changing economics of organic search.
• Goodfirms reports that 43% of surveyed marketers consider AI optimization a core strategy, while only 14% track AI and LLM citation visibility.
• Enterprise SEO is evolving toward multi-surface visibility, combining technical SEO, structured data, authoritative content and AI citation monitoring across emerging answer engines.

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