The old search paradigm of ten blue links is firmly in the rearview.
AI Search is reshaping the information discovery, comparison, and purchasing landscape; businesses now face a new normal in which Google AI Overviews place AI-generated answers at the top of results, and Featured Snippets continue to hog valuable real estate. How can businesses stay relevant in a new ecosystem in which the search engine answers questions before the user reaches any given website?
Rather than abandoning SEO in this new world order, modern marketers should update their strategies to incorporate enhanced content creation, topical pillars, E-E-A-T building, and AI-specific optimizations like AEO and GEO.
In this guide, you’ll discover the changes, challenges, and opportunities presented by AI Search, and how you can best prepare your website for this new landscape.
What is AI Search?
AI Search refers to a search paradigm in which results are generated by artificial intelligence; answers are synthesized from information on relevant websites and presented to the user in a natural language format.
Old Search Paradigm (Traditional Search)
Search Query ➔ List of relevant links ➔ User clicks a link ➔ User finds information.
New Search Paradigm (AI Search)
Search Query ➔ AI-synthesized Answer ➔ Contextual Sources ➔ (User reads answer and clicks a link).
Do AI Search results negate the need for individual websites? Not at all! Rather, extremely useful websites are now the “fuel” that allows AI to produce useful answers; however, the user may not always engage in the traditional “find information by clicking a search result” paradigm.
Consider the following example: A user wishing to learn more about the best marketing automation strategies for small businesses may find an AI-generated summary containing those strategies at the top of the search results. After reading this summary, the user will now have a general idea of the most useful strategies; however, they will likely seek out a particular marketing automation provider to implement these strategies.
This is a fundamental shift in the big-picture approach to SEO: From “How can I get this page to appear in the search results?” to “How can I get this page to be the source of information used to generate an AI-powered answer?”
What are Google AI Overviews?
Google AI Overviews refer to the AI-synthesized answers appearing at the top of the search results.
Gone are the days when users would have to click through multiple search results to find an answer to a question; Google now synthesizes information from multiple sources and presents it in a natural language summary. For example, if one searches “What is marketing automation?”, the Overview may provide a brief definition of marketing automation, along with some of the most common marketing automation strategies.
For businesses, this represents a different kind of search challenge: While a traditional search query may return your page as a snippet, an AI-powered search result may actually feature your content as one of the sources synthesizing the answer. This is where AI Search Optimization comes in.
What are Featured Snippets?
Featured Snippets are the excerpts of information that appear above the organic search results; they are answers to common questions, pulled from websites and presented in a condensed format.
These snippets can appear in a variety of shapes and sizes, ranging from brief paragraphs to numbered lists, and most commonly appear for informational queries. If one were to search “What is marketing automation?”, Google may return a short definition pulled from a relevant blog post.
Both Featured Snippets and Google Overviews provide answers to questions at the search results page, but they are fundamentally different in terms of construction and SEO strategy.
Featured Snippet vs. Google Overview: What’s the Difference?
While both appear on the SERP and provide answers to questions, the similarities end there.
| Feature | Featured Snippet | Google Overview |
| Source | Typically pulled from one webpage | Synthesized from multiple sources |
| Placement | Above organic results | At the very top of the results page |
| Content | Extracted directly from a webpage | AI-synthesized answer |
| Query types | Simpler queries | Can have complex queries |
| Focus | Answer a question | Give a detailed answer |
| SEO considerations | On-page optimization | Deep content, topical authority |
While a Featured Snippet is a direct answer extracted from one webpage, Google Overviews are a synthesis of information from many relevant webpages. This is critically important: because Google Overviews rely on many sources, optimizing for one snippet is not enough.
Are Featured Snippets Still Relevant?
Absolutely; even with the advent of Google Overviews, Featured Snippets continue to reward businesses with increased visibility for the answers they provide. The best way to optimize for them in the age of AI Overviews is to think of them as just one component of a greater whole.
Consider the modern search results page. A given result may contain a Google Overview, a Featured Snippet, “People Also Ask” results, a video carousel, local map pack results, and organic search results. The appearance of the results will vary depending on the query, but this demonstrates how much a search result can change from one query to the next. Attempting to optimize for one facet is not an effective long-term strategy.
How is AI Search Changing SEO?
The fundamental nature of SEO is changing as search engines continue to evolve.
Content creation has seen a paradigm shift in recent years; SEO is no longer simply about optimizing existing content, but rather about providing information that is actually useful to the reader.
Here are some of the most important considerations for optimizing your website in the age of AI Search:
1. Search Intent is Paramount
Search volume numbers are no longer sufficient; individual keywords need to be analyzed for intent. Consider the following example: the keyword AI Search Optimization. A simple article defining the term and repeating it throughout may garner traffic, but it will not keep users engaged, especially when compared to an article that thoroughly answers the questions that the term implies.
2. Build Topic Authority, Not Just Pages
Merely publishing an article on AI Search will not be sufficient to generate traffic and engagement. Search engines have grown much more sophisticated at separating useful information from content meant to manipulate the system; topical authority is now a necessity if one wishes to appear in the search results.
If your business wishes to be known as a thought leader in the space of AI marketing, you will need a pillar article on AI Search, alongside articles discussing AI marketing automation and AI customer relationship management, with interlinking to related topics on your website.
3. Create Content that is Useful to Humans
Nobody likes reading an article that reiterates the same keyword forty-seven times throughout and provides no useful information. The same applies to AI: Stuffing articles with variations of a keyword will not improve a page’s ranking or chance of being featured as a snippet.
Articles should include useful information that addresses the intent behind a query, and should be engaging for the user.
AEO vs. GEO: What Are They, and How Do They Work?
The principles of SEO are changing, but the ultimate goal remains the same: to increase the visibility of a given webpage by improving its chance to appear in the search results.
Two concepts that fall under the AI Search optimization umbrella are AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization). They focus on improving visibility in the new search landscape, but they have very different approaches.
What is AEO (Answer Engine Optimization)?
AEO is all about optimizing for direct answers: queries will have answers extracted from webpages and shown in the search results, either as a short paragraph, list, or table. Answering power questions succinctly and thoroughly is now a must if one wishes to succeed in the new search landscape.
Some general AEO guidelines include:
- Using Frequently Asked Questions sections to provide answers to common questions.
- Including question-format headings.
- Including a brief definition of terms related to your business in the body text.
- Avoiding vague-sounding headers like “AI Search” in favor of more specific and direct headers, such as “What is AI Search?”.
What is GEO (Generative Engine Optimization)?
While AEO is about optimizing content to be used by Google to generate answers, GEO refers to optimization strategies to improve a business’s visibility in the eyes of the search engine.
GEO strategies include:
- Publishing high-quality, informative content.
- Having first-hand knowledge of one’s industry and using that knowledge to inform the audience.
- Including supporting information and statistics to back up one’s claims.
- Making sure that the brand mentions are consistent across the web.
SEO vs. AEO vs. GEO: A Summary
| Strategy | Focus | Example |
| SEO | Improving a webpage’s ability to appear in traditional search results | Optimizing for “Digital Marketing Agency” |
| AEO | Improving the chance for a page to be used to answer common questions | Optimizing for “What is AI Search?” |
| GEO | Improves visibility in the eyes of generative search engines | Being cited as a source by Google for an AI Overview |
While SEO, AEO, and GEO all have different focuses, they are not mutually exclusive. SEO is the traditional method of improving visibility by improving rankings, while AEO and GEO build upon that by improving the likelihood of a webpage being used to answer questions directly, or improve the page’s visibility according to the new search algorithms.
How to Optimize Content for AI Search
There are no silver bullets when it comes to optimizing content to be indexed by AI, but following a few simple guidelines can improve your chances of being cited by AI-powered search engines.
Answer queries succinctly
Rather than burying a direct answer to a query in a sea of information, include it in the first paragraph of your article. This way, search engines can easily identify the answer and cite your page.
Create topic clusters
Simply writing an informative post is no longer sufficient to gain visibility. Rather, you should create a pillar webpage containing answers to frequently asked questions, and supplementary pages that discuss related topics and link to the pillar page.
Showcase your expertise
Include examples generated by you, rather than simply rehashing other people’s content. If your team has successfully implemented a certain marketing automation sequence, talk about the benefits and drawbacks of that sequence.
Internal linking
Link to other relevant pages on your website, so that users can discover related content.
Keep technical SEO in mind
Regardless of the optimizations performed on a given page, technical SEO issues will always hurt a page’s ability to appear in search results. Make sure that your website loads quickly on both desktop and mobile, and that there are no technical issues hindering the performance of a given page.
How Should Businesses Adapt?
Rather than completely overhauling your SEO strategy, there are a few simple steps you can take to prepare your website for the new search environment.
1. Content Audit
Review your existing content and identify the pages receiving traffic and engagement. Focus on optimizing these pages, and consider creating additional content related to the topic.
2. Identify Common Questions
Rather than simply identifying keywords with search volume, analyze the queries that users enter to reach a given page, or consult frequently asked questions sections. Pay close attention to questions that users ask, and try to answer them on your website.
3. Measure Engagement, Not Just Traffic
Increased traffic to a given page is always a good thing, but it is more important to identify whether that traffic is interested in your offering. Focus on improving user engagement and building authority.
Connecting Search Traffic to the Rest of the Marketing Funnel
Increased visibility and traffic to a page is only half the battle; the other half is ensuring that this traffic converts into leads, and eventually customers.
Marketing Automation bridges the gap between search traffic and sales; a strong marketing automation strategy may look something like this:
AI Search ➔ Lead Generation ➔ CRM Integration ➔ Follow-up Automation ➔ Sales.
If you aren’t capturing this traffic and nurturing it, you are wasting resources. Reach Skyline’s Marketing Automation & AI Implementation services are designed around this very philosophy: by connecting your website traffic with automation and sales tools, we can help you maximize conversions and turn your increased visibility into actual sales leads.
How Does Reach Skyline Approach Digital Growth?
AI Search is only one part of the long-term digital growth puzzle. SEO, digital campaigns, branding, and technology implementation all play a role in establishing a website as a reliable information source.
At Reach Skyline, we employ a comprehensive strategy to boost online presence and visibility: Whether you need help implementing our Digital Marketing services, increasing your visibility through our Branding and Creative services, or building a digital ecosystem around your brand with our CX & Development offerings, we can help you achieve your goals.
The Future of Search
The nature of search is continuing to evolve, and the way we create and consume information will change in tandem. Long-tail questions will become more common, as users seek out information that is highly specific to their needs.
Rather than simply asking “What is marketing automation?”, search queries in the future may resemble “What marketing automation strategies should a B2B company with a small sales team implement first?”
The future of search will reward brands that dedicate resources to building third-party credibility, as it will become much harder to influence search result placement directly. In this new world, brands must dedicate resources to content marketing and brand-building efforts to truly thrive.
In the future, Google and other search engines will continue to evolve, but businesses that build their authority now will be well-positioned for success in whatever changes lie ahead.
FAQs About AI Search
What is AI Search?
AI Search refers to a search paradigm in which answers are generated directly by AI, rather than being pulled from individual webpages.
How Do Google AI Overviews Affect SEO?
They fundamentally change the dynamics of the SERP, and SEO strategies must change accordingly. Modern SEO now focuses on topical authority and creating pages that provide genuinely useful information.
Are Featured Snippets Still Important?
Yes; they continue to reward businesses for the answers they provide, and should be considered an important part of a greater SEO strategy.
What is the Difference Between AEO and GEO?
AEO refers to optimizing for answer engines by including direct answers to questions, whereas GEO refers to optimizing for generative engines by building brand authority.
Is AI Search Replacing SEO?
Not at all; rather, it is a natural evolution that builds upon traditional SEO strategies by adding AEO and GEO.