Anna is a freelance reporter exploring SaaS and more. She is a former LATAM & Media Editor at The Next Web, startup founder, and Sciences Po Paris alum. Google AI Overviews are reshaping search results, dominating prime real estate on the search engine results pages (SERPs).
These overviews synthesize answers from top content to provide users with quick, clear responses. To secure a spot in this prime SERP real estate, success now depends on structuring content to align with how people interact with AI—using natural language, direct questions, and a conversational style. This approach not only increases your chances of appearing in AI Overviews but also delivers a better user experience and drives stronger search engine rankings.
Our agency has spent 6–12 months running experiments to capture positions in Google AI Overviews. We’ve found that generative AI favors step-by-step, high-level, process-oriented content for top results. In the competitive B2B sector, top-performing websites now focus on conversational language, delivering clear, direct answers that explain both the implementation steps and the strategic rationale behind each solution.
Based on our findings, securing a spot in Google AI Overviews requires a strategic, intent-driven approach. Here are four actionable steps to optimize your content:
1. Segment by Intent: Start your editorial planning by segmenting AI-focused questions and keywords into four types: Informational, Transactional, Navigational, and Commercial.
Optimize for intent first, then focus on crafting the highest-quality answer for AI Overviews. Our findings show that AI Overviews tend to favor content with informational intent. 2.
Competitor Analysis: Analyze the jargon your industry competitors use and seize clear opportunities to optimize your content. Develop a targeted content strategy to position brands as leading competitors, showcasing capabilities and solutions. The best-performing content includes clear definitions, explores different dimensions of a topic, emphasizes benefits, and differentiates itself by the company’s direct experience.
3. Contextual Value of Competing Results: Present the steps for searchers on how and the cost associated with each step or the contextual measurements of ROI on the product or services. Break down the benefits of the subject matter with dimensions that can be tracked and explain how those metrics add value to the business.
4. Identify Types of Content in AI Overviews: Enhance case study content to incorporate definitions that easily answer common search queries. Optimize content with definitions of the subject matter and affiliated search terms, listing best practices and processes for better understanding.
An AI Overview is triggered when Google’s algorithm determines that the best answer to a query is a generative response. While AI Overviews do not directly impact rankings, they can impact your SERP visibility and organic traffic. It’s important to optimize your page links, content, and citations to provide the best answers for your target queries and audiences.
On desktop, AI Overview links are displayed on the right side of the results. On mobile, you can find them by tapping the site icons in the upper-right corner of the search results. The value of AI Overviews varies based on the context and intent of industry-specific queries.
For example, in the software industry, AI Overviews often summarize ROI-driven, informational searches. In manufacturing, they focus on “capabilities” and process-related content.
google’s AI reshapes search tactics
For consumer brands, they frequently highlight PR-related links. Google is going all in on AI, highlighting the rollout of AI Overviews and their continuous expansion to all users. Paid search is also evolving with generative AI, now available for relevant queries on mobile devices in the U.S.
To capture AI Overviews, focus on using conversational language.
The fusion of AI and search requires practitioners to master conversational search patterns, as users phrase queries similarly to how they interact with AI assistants. Success now depends on understanding both natural language processing and how users ask questions. Staying ahead ensures your organic traffic and click-through rates remain strong.
Understanding and adapting to these AI-driven changes is crucial for adding creative value in a world shaped by AI. The days of Google’s undisputed internet search dominance may be coming to an end. The rise of generative AI has ushered in a new way of finding information on the web.
Unlike traditional Google searches, new AI platforms like ChatGPT and Perplexity scour the internet for information regarding your query, then synthesize an answer using a conversational tone rather than returning a list of websites. This approach has proven popular with users, even though it’s raised concerns among content creators about data scraping practices. But which AI tool is best for you to actually use?
Let’s dig into how these two AI tools differ, and which will be the most helpful for your prompts. Perplexity is available at two price points: free and Pro. The free tier offers unlimited “Quick” searches, 3 “Pro” searches per day, and access to the standard Perplexity AI model.
The Pro plan, which costs $20/month, grants you unlimited Quick searches, 300 Pro searches per day, a choice of AI models, the ability to upload and analyze unlimited files, and visualize answers using Playground AI, DALL-E, and SDXL. OpenAI follows a similar pricing structure. A free account grants access to ChatGPT, including limited use of the larger model for data analysis, file uploads, vision, web browsing, and image generation.
The $20/month Plus tier offers more extensive access, including five times more messages with GPT-4, full use of platform features, and the new ChatGPT Search option. The $200/month Pro plan provides unlimited priority access to all features and models. Even if you aren’t a Plus subscriber, ChatGPT can provide you with up-to-date information thanks to its internet access.
ChatGPT’s integration of various functions eliminates the need for multiple tools by blending a natural language interface with access to real-time sports scores, news, and stock quotes. You can analyze, summarize, modify, and edit content, as well as ask the AI follow-up questions, making it highly versatile. While ChatGPT excels at creative tasks, Perplexity is specifically designed for information retrieval.
It offers more accurate responses, with transparent citations to various sources, and responds faster. Perplexity is ideal for research tasks, such as summarizing white papers or industry studies. It allows users to filter search criteria to pull information from specific sources like academic journals, video sharing platforms, or social media.
It also enables users to ask follow-up questions and recall relevant snippets from earlier conversations. While neither ChatGPT nor Perplexity are free from suffering hallucinations and misattribution errors, Perplexity has proven to be a more accurate source of information. Studies have shown that ChatGPT Search struggles with returning factually accurate information.
For instance, in a study that evaluated its ability to correctly identify the sources of specific quotes from 200 articles, ChatGPT returned incorrect responses 153 times, yet only acknowledged its inability to respond accurately seven times. OpenAI has defended its model, suggesting that the study might have been conducted incorrectly. As with all AI models, certain tasks are better suited for specific models, and the choice between ChatGPT and Perplexity might depend on the specifics of your prompt.
