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Prepare Your Brand for the Era of AI‑Driven Search

Written by Ryan Bodger | Aug 12, 2025 1:36:53 AM

AI has fundamentally changed how people search for and find information. Since OpenAI’s ChatGPT sparked a wave of generative tools in November 2022, search behaviour has been shifting from classic query‑and‑click to conversational queries where answers are summarised by large language models.

Google’s AI Overviews – generative summaries that appear at the top of search results – are already showing up in nearly half of searches, and their presence has grown dramatically since Google’s March 2025 core update. Longer, more complex queries are also far more likely to trigger AI summaries; searches with eight or more words are about seven times more likely to get an AI‑generated answer.

For brands, this is no minor tweak to the algorithm but a fundamental change to how visibility is earned. Traditional SEO tactics centred on keywords and backlinks provide only a superficial understanding of user intent. Modern search algorithms analyse intent, semantic relationships and credibility, and generative models draw on trusted sources to build their answers.

As a creative and digital agency that has been implementing AI since 2020, Now We Collide believes the AI search era offers huge opportunities for brands prepared to adapt. Below, we outline how AI search is changing, why it matters and what smart brands should do to dominate this new landscape.


What’s Changing in Search?

AI‑generated answers come first. AI search isn’t only about bots like ChatGPT, it’s now part of mainstream search experiences. Google’s AI Overviews (formerly SGE) and Microsoft’s Copilot summarise information from multiple sources in a few sentences, often answering the query directly.

This leads to less traffic for traditional search results, the rise of zero‑click searches, and a surge in referral traffic from AI assistants like ChatGPT, Gemini or Copilot. Brands that become trusted sources for AI will capture a growing stream of visitors.

Authority and reputation take precedence over pure optimisation. AI is more likely to cite a brand that is already being talked about across the web. Signals of Experience, Expertise, Authoritativeness and Trustworthiness (E‑E‑A‑T) are critical. Brands that rely on generic content mills risk being ignored or even penalised.

Intent, semantics and context are key. Keywords still matter, but AI search analyses semantic relationships between topics to infer deeper intent. Informational queries make up the vast majority of AI Overview triggers, and longer questions that indicate complex intent are far more likely to produce AI summaries. Ranking will increasingly hinge on whether your content explicitly and comprehensively answers genuine questions.


Why AI SEARCH MATTERS?

Some marketers have interpreted generative search as the death of SEO. At Now We Collide we see the opposite. AI isn’t killing SEO, it’s transforming it. Search engines remain invaluable for discovery, verification and context, but the way they judge and display content is evolving. Brands that adapt early will secure advantages that latecomers cannot easily claw back.

The business case is compelling:

- First‑mover advantage: Brands that train AI models on their own data and integrate Retrieval‑Augmented Generation (RAG) can produce accurate, proprietary answers that resonate with their audience.

- Scalable content without sacrificing quality: RAG enables organisations to generate large volumes of detailed, brand‑consistent content, eliminating the old trade‑off between quantity and quality.

- Proactive market intelligence: AI tools can spot emerging topics and long‑tail keyword opportunities by analysing user behaviour and semantic patterns.

- Efficiency and focus: AI‑powered research and drafting free your team from repetitive tasks. This allows human creators to concentrate on strategy, creativity and storytelling.

HOW TO DOMINATE IN AI SEARCH

1. Build a Solid Foundation of Expertise and Authority

  •   The first step is to establish your brand as a trusted authority in your domain. AI algorithms (and human audiences) favour content from sources that demonstrate expertise and credibility.
  •   Invest in original content: Because of the way AI search queries work, fresh, new and credible content is optimised. By creating content no one else has, investing in thought leadership, and conducting surveys and original case studies you can improve visibility in AI search results. With Reddit, LinkedIn and YouTube appearing as top sources of results for Google Gemini in Semrush recent research, evidence suggests new and relevant content is essential for AI-based search results.
  •   Showcase credentials and expertise: Include author bylines with biographies, mentioning credentials such as certifications,  experience and authority. This transparency helps both readers and AI assess your content as credible.
  •   Be transparent with sources and claims: Back up assertions with reputable references. This builds trust and makes your content more likely to be cited in AI-generated answers.


2. Expand Your Brand Footprint Beyond Your Own Site

  •   Don’t rely solely on your website for visibility. Broaden your reach through earned media, social engagement and partnerships.
  •   Earn media and thought-leadership coverage: Pitch articles to industry publications, participate in interviews and aim to get quoted in news stories.
  •   Leverage social signals: Use social media to drive brand search volume and awareness. Consistent and timely, topical posts can increase branded search traffic, which tells AI and search engines your brand is relevant.
  •   Build partnerships: Collaborate with other brands or influencers to co-create content, co-host events or publish joint research to reach new audiences.

3. Structure Content for AI Comprehension

  •   Format your content so that both humans and AI systems can easily read and interpret it.
  •   Use a Q&A format where appropriate. Clearly state the question and give a concise, direct answer.
  •   Optimise for long-tail and conversational queries: Include natural language and variations of your keywords to match how users ask questions in AI search.
  •   Incorporate multimedia and structured data: Use schema markup for FAQs, how-to guides, products, etc., and add relevant visuals.

4. Train and Integrate AI Responsibly

  •   Use AI to improve your customer experience and internal efficiency.
  •   Develop a proprietary knowledge base using RAG (Retrieval-Augmented Generation): Feed AI models with your verified, internal content to produce accurate responses - ensure you provide 'training data' as uploadable documentation about your brand and business that is feasible and legal to share.
  •   Maintain human oversight: Always review AI outputs for accuracy, clarity and brand tone.
  •   Set ethical guidelines: Define boundaries for AI use to protect privacy, prevent bias, and maintain compliance.

5. Measure What Matters and Adapt

  •   Track the performance of your AI search strategy and remain flexible to adapt to changes.
  •   Track AI referral traffic: Identify and monitor visits coming from AI-driven search experiences.
  •   Prioritise engagement over clicks: Focus on quality interactions, such as time on site, shares, or conversions, instead of just raw traffic.
  •   Stay agile: Be ready to adjust your approach when AI platforms update their algorithms or features.


Looking Ahead

AI search is still evolving. The features we see today will inevitably change, and other engines and platforms will enter the fray. The direction is clear: search engines are moving from indexing words to understanding meaning, intent and authority.

Brands that rely on outdated tricks or churn out generic AI‑generated copy will find themselves invisible. Conversely, organisations that invest in meaningful expertise, strategic content, authentic brand storytelling and responsible AI integration will not just survive but lead in this new era.

 

 

At Now We Collide, we’re helping our clients build holistic digital ecosystems that combine data‑driven strategy with creative excellence.

Sources
AI and SEO Trends 2025
Lumenalta: Harnessing Generative AI for Search Visibility
Google Search Central: AI Content and E-E-A-T Guidelines