The Evolution of Search: Adapting to Generative AI & LLM’s
The digital landscape is in a constant state of flux, and few areas are experiencing a more profound transformation than Google’s search engine. While the notion of “The Death of Google Search” may be a sensationalist headline, the rise of large language models (LLMs) and generative AI features, such as those powered by Gemini and Chat GBT, is undeniably reshaping how users find information and, consequently, the value of traditional organic search traffic.
This shift signals not an end, but a fundamental evolution of the search engine’s role, presenting both challenges and novel opportunities for SEO agencies like Purge Digital and content creators.
The Changing User Journey: From Blue Links to AI Answers
For decades, the user’s search journey was a familiar path: a query was entered, a list of “ten blue links” appeared on a Search Engine Results Page (SERP), and the user would click through to a website to find an answer. The rise of AI-powered snippets and generative answers has introduced a new, more direct pathway. Today, for many informational queries, users are finding comprehensive, synthesised answers directly on the SERP without needing to click on a single link.
This change is driven by the search engine’s ability to:
- Synthesise Information: AI can draw data from multiple sources to create a single, coherent answer, saving the user time and effort.
- Provide Direct Answers: For simple questions (e.g., “what is latent semantic indexing?”), the AI can provide a definition and explanation directly on the SERP, eliminating the need to visit an external site.
- Generate Contextual Summaries: For more complex queries, the AI can provide a high-level summary of a topic, with links to the sources it used to create the answer.
This transformation is impacting traditional SEO, as it creates a “zero-click” search environment for a growing number of queries. While this may lead to a decrease in the average CTR for some websites, especially those that primarily target high-level informational queries, it does not signify the end of search. Instead, it signals a shift in where and how the value is exchanged.
How AI Overviews Are Tanking CTRs
- GrowthSRC Media’s May 2025 study found that the average CTR of the #1 organic result fell from 28% in 2024 to 19% in 2025 a 32% drop in clicks at position 1 since Google’s AI Overviews rollout in March 2025.
- Across positions 1–5, the average CTR decline is about 17.9%, indicating universal impact on above‑fold listings.
- BrightEdge reports CTR down ~30% year over year, even as search impressions rose 49%.
- Amsive analysed 700k keywords, seeing an average CTR drop of 15.49%, with non‑branded keywords down nearly 20% and keywords triggering both AI Overviews and Featured Snippets down as much as 37%.
- Ahrefs found a 34.5% decline at position 1 when AI Overviews were present, based on 300k keywords.
- Authoritas reports UK publishers saw desktop CTR fall by 47.5% and mobile by 37.7% when AI Overviews appeared.
- A Pew Research Center user‐panel study (March 2025) found SERPs without AI Overviews had ~15% click rates; with AI summaries, clicks plunged to 8% and only 1% of AI Overviews led to clicks on cited sources.
Together, these studies paint a stark picture: AI Overviews are driving a zero‑click search reality, where users get direct answers and never leave Google.
The Impact on Industries and Shifting Search Behaviors
For example, a website dedicated to defining medical terms or explaining historical facts might see a portion of its organic traffic captured by an AI answer. Conversely, industries where hands-on experience, trust, and a commercial transaction are paramount may see less impact on their bottom-of-the-funnel keywords. Industries like law, healthcare (for complex issues), e-commerce (for product purchases), and local services still require human interaction and a visit to a specific website to complete a conversion.
Furthermore, search behaviour is changing across all age brackets, though at different rates. Younger, digitally native generations (Gen Z, Gen Alpha) are often more comfortable with conversational, voice-based queries and expect immediate, comprehensive answers.
They are quicker to adopt new search interfaces, including AI-driven ones. Older generations, while increasingly digitally literate, may still prefer the familiar “ten blue links” model and the ability to manually vet sources. This generational divide in adoption rates means that a one-size-fits-all SEO strategy is no longer sufficient.
How Age Brackets Are Changing Search Behavior
Direct data on age‑based CTR shifts is scarce in published studies, but the Pew Research user panel (March 2025) offers insight: across a representative mix of age groups, users were much less likely to click when AI Overviews appeared. The overall click rate fell from ~15% to ~8% suggesting users of all ages increasingly rely on instant AI answers without clicking on sources.
Other signals hint at younger users (Gen Z and Millennials) being more comfortable staying on the SERP because they’ve grown up with mobile and concise responses; older users may still scroll for detailed content—but overall the across‑the‑board drop indicates no single age group is immune.
Without segment-specific published data, we can infer:
- All major age brackets show sharply reduced clicks when an AI Overview is present.
- Younger users likely adopt the zero‑click format faster.
- Older demographics may still click more for detailed exploration, but even they click less when AI Overviews satisfy query intent.
Industry‑Level Impacts: Who’s Hit Hardest?
While CTR drops are widespread, they are not uniform across sectors:
- Content-rich informational sectors (e.g. SaaS, EdTech, B2B tech, science): among those hit the hardest. GrowthSRC’s dataset shows those verticals saw dramatic CTR decline in top rankings. MailOnline reported desktop CTR at #1 dropped from ~13% to <5%, and mobile from ~20% to ~7% a 56.1% drop desktop, 48.2% mobile.
- B2B tech and insurance saw rapid expansion of AI Overview penetration from ~36% to ~70%, and 17% to 63% respectively, exacerbating click losses.
- Healthcare and education now have almost 90% query coverage by AI Overviews, meaning most informational queries are answered directly in search.
- E‑commerce, by contrast, experienced low AI Overview prevalence, declining from ~29% coverage to just ~4%, so CTR held relatively steady, although affected by Product Widgets separately.
- News & publishers: major outlets like Forbes and HuffPo saw traffic fall up to 40% year on year; 37 of the top 50 news domains declined. SimilarWeb and ComScore data independently confirm meaningful traffic losses for news publishers since the AI Overview launch (May 2024).
- Law and politics verticals appear to have seen CTR increases in one academic summary, perhaps due to the nature of content and trust in authoritative summaries, while science saw large declines.
Summary Table
| Industry / Query Type | AI Overview Coverage | CTR Change (Top‑Ranked) |
| B2B Tech / SaaS / EdTech | ~70% coverage | −30% to −56% |
| Healthcare / Education | ~90% coverage | Very sharp drops |
| Science / Informational | High | Largest declines |
| News / Publishing | ~(varied, but high in news) | Traffic down up to 40% |
| E‑commerce / transactional | Low (~4%) | CTR comparatively stable |
| Law / Politics | Mixed; some gains | CTR increases reported |
(Percentages approximate, based on the combined studies.)
Solutions for SEO Agencies: Adapting and Thriving in the AI-Driven Landscape
The evolution of search is not a threat to the existence of SEO but a call for its strategic adaptation. Purge Digital is uniquely positioned to take advantage of this new landscape by reframing their services around the new user journey.
- Optimise for Generative AI and Featured Snippets: The goal is no longer just to rank on the first page, but to be the source that the AI uses to create its answer. Agencies must focus on:
- Creating High-Quality, Structured Content: Providing clear, concise, and structured answers to common questions within content (e.g., in a Q&A or FAQ format).
- Building Authority and E-E-A-T: Search engines’ AIs will favour content from authoritative, expert, and trustworthy sources. SEO agencies should double down on building a brand’s E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness) signals, which include acquiring high-quality backlinks and demonstrating subject matter expertise.
- Focus on Bottom-of-Funnel and Commercial Keywords: While AI may capture top-of-funnel informational queries, it is less likely to replace the need for users to click on a website to make a purchase, book a service, or download a lead magnet. SEO agencies should pivot to focus on high-intent, transactional keywords that drive conversions.
- Diversify Traffic Sources Beyond Organic Search: An over-reliance on organic search traffic has always been a risk. In the age of AI, SEO agencies can broaden their services to include strategies that drive traffic from other sources, including:
- Organic Social Media: Building a presence on platforms like TikTok, Instagram, and LinkedIn.
- Email Marketing: Building and nurturing a direct-to-consumer email list.
- Community Building: Engaging in forums, private groups, and other online communities where the target audience resides.
- Embrace New Metrics and Reporting: SEO agencies can evolve their reporting to focus on a more holistic view of performance. This includes reporting on conversions, revenue, and brand authority rather than just organic clicks. It also involves demonstrating how the content they create is being used as a source for AI answers, even if it doesn’t result in a direct click.
The rise of generative AI features is not the death knell for search but a catalyst for its transformation. While it challenges established SEO practices, it also creates new opportunities for agencies that are willing to adapt. The future of search and SEO lies not just in ranking for keywords, but in becoming a definitive, authoritative source of information that is trusted by both search engines and the AI systems they now employ.
How SEO Agencies Can Pivot: The Rise of “AI‑SEO”
As traditional SEO fragility grows, agencies should evolve toward a Generative Engine Optimisation (GEO) framework:
Optimise for AI Overview Inclusion and Citation
Target branded and high‑intent queries
- Branded queries are less likely to trigger AI Overviews (~4.8% coverage) and when they do, CTR often increases by ~18.7%.
- Focus on bottom‑funnel and navigational queries where users expect to click through these remain more resilient.
Track new KPIs
- Shift emphasis from raw CTR to brand mentions, AI Overview citations, zero‑click visibility, on‑site engagement, conversions, and assisted conversions.
Technical & Schema support
- Use structured data markup (FAQ, HowTo, QA) to help Google surface your content in AI Overviews and featured snippets.
- Audit existing pages for semantic clarity and snippet potential.
Forecast: When Might AI Replace Search Engines?
We can’t predict precisely when full replacement might occur, but trends suggest a trajectory toward AI‑first information discovery:
- In August 2024, AI Overview triggered on ~10,000 keywords; by May 2025, coverage surpassed 172,000 keywords a rapid expansion across query types.
- As of Q4 2024, AI Overviews appeared in ~42.5% of searches, up nearly 9% from the prior quarter.
- Pew found ~20% of all searches now receive AI Overviews; that jumps to 60% for queries phrased as questions, and 36% for natural‑language full sentences.
If growth continues even at a moderate pace, the majority of informational queries (>70–80%) could be answered directly within one year. That’s likely to make the web‑wide click‑through-rate obsolete for many content types. Some analysts believe AI‑first search could dominate within 2–3 years especially as Google expands AI Mode and other global markets roll out generative features.
Not the Death of Google Search—but Death of Old SEO
The data overwhelmingly shows that AI Overviews powered by Gemini are drastically reducing CTRs across sectors and query types. Traditional SEO tactics keyword stuffing, backlinks, ranking ambition now often fail to deliver traffic if content isn’t configured to appear in AI‑generated summaries. GrowthSRC, Ahrefs, Amsive, Pew, Authoritas, BrightEdge all point to declining click rates of 15–60%, with the worst impact on informational, non‑branded content.
Some industries (health, education, news, SaaS, B2B tech) face existential CTR disruption. Younger users accelerate adoption of zero‑click habits, and while older segments cling to clicking, even they are clicking less when answers appear instantly.
If AI Overview coverage continues to expand, accessing 70–80% coverage of informational queries within the next 12–18 months may well make the traditional search ecosystem obsolete. Google Search won’t vanish but its function will shift from “gateway to pages” into “answer platform,” putting users into a closed loop that rarely requires leaving the SERP.
For SEO agencies, the path forward is clear: pivot to AI‑SEO / GEO. That means designing content to be extractable, brand‑rich, structured, and citation‑worthy. It means targeting what still drives clicks (like deep informational or branded intent). It means building multi‑channel presence and tracking visibility in AI experiences; not just traffic from blue links.
This isn’t the end of digital marketing, it’s evolution. The agencies that evolve to shape and influence what AI displays, not just how high their clients rank, will win in the era of generative search.
