Your clients are asking about AI search. They’ve seen AI Overviews show up above their organic results. They’ve watched ChatGPT pull queries that used to drive traffic to their sites. And they want to know what you’re doing about it.
For an agency leader, this is one more thing on a team that’s already at capacity. New deliverables. New strategies. New conversations to lead. All while the rest of the work keeps moving.
The good news: AI search optimization isn’t a new discipline. It’s an extension of the work already driving search performance for clients. The fundamentals haven’t been replaced. They’ve been raised.
Understanding Google’s AI Search Experiences
Before getting tactical, it helps to know what’s actually happening on the results page.
What Are AI Overviews?
AI Overviews are Google’s generative answers that appear above the standard results. They gather information from multiple sources and present a direct response to the user’s query, often pulling from sites that rank well organically. They’ve changed how people interact with search. Many users now get their answer from the Overview without clicking through.
How AI Search Differs From Traditional Search Results
Traditional search returns a list of links. Google AI search returns a synthesized answer with citations. That’s a meaningful shift. The job is no longer just ranking high. It’s being chosen as a citation inside the AI’s response. Traditional SEO vs. AI SEO: Are They Really Different? breaks down why the two aren’t separate strategies in the first place.
Why AI Search Visibility Matters
Click-through rates from AI Overviews are lower than traditional results, but visibility itself still shapes brand awareness. Being cited as a source positions you, or your client, as an authority. Being absent does the opposite.
Why Traditional SEO Still Supports AI Search Visibility
The factors that drive AI search visibility are the same ones that have driven SEO for years. The mechanics changed. The fundamentals didn’t.
Content Quality and Authority
LLM visibility correlates strongly with domain authority, quality backlinks, and topical depth. If your content earns trust signals in traditional SEO, it earns them in Google AI search too.
Technical SEO and Crawlability
If search engines can’t crawl and index your content cleanly, AI systems can’t pull from it. Robots.txt, structured data, fast page loads, and clear URL structures still matter, arguably more than ever.
E-E-A-T and Trust Signals
Experience, expertise, authoritativeness, and trustworthiness still apply. Author bylines, credentials, citations, and original research all reinforce the signals AI systems use to decide who to quote. For more on how this kind of work compounds over time, How to Set Realistic SEO Expectations for Clients and Stakeholders is worth a read.
How to Optimize Content for AI Overviews
AI overview optimization, sometimes called answer engine optimization, is mostly about making your content easy for a machine to read, understand, and quote.
Answer Questions Clearly and Directly
Lead with the answer. Front-load the most important information. AI systems pull from content that gets to the point quickly.
Use Structured Headings and Scannable Content
Clear H2s and H3s. Short paragraphs. Lists where they actually help. Structure makes content parseable for the AI and easier for human readers at the same time.
Create Citation-Worthy Content
Original insights. Real data. Specific examples. The content that gets cited isn’t the most polished. It’s the most useful. Answer engine optimization is, at its core, just a discipline of being genuinely helpful in a structured way.
Technical Best Practices for AI Search Optimization
To optimize a website for AI search, the technical foundations have to be in good shape.
Search engines and AI crawlers need access to your content. Robots.txt should allow indexing, schema markup should be in place, and your site architecture should make it clear how pages relate to each other. Page experience still matters too. Slow sites get cited less. Mobile-optimized, fast-loading pages get cited more. None of this is new, but the stakes are higher now. A single technical issue can take you out of consideration across every AI surface at once.
Improving LLM Visibility Beyond Traditional Rankings
LLM visibility is shaped by signals that extend past your own website.
Building topical authority means going deep on a subject area, not chasing keywords across unrelated topics. Earning mentions and citations from credible sources strengthens the entity signals AI systems use to evaluate trust. And the more a brand shows up across high-authority publications, podcasts, directories, and conversations, the stronger its presence in AI responses becomes. SEO for LLMs is really just a more comprehensive version of SEO for users: build something people reference, and the AI follows.
Common Mistakes Agencies Make With AI Search
A few patterns show up over and over with teams trying to get ahead of AI search.
Chasing AI trends instead of fundamentals is the biggest one. New “generative AI SEO” tactics emerge weekly, and most of them don’t outperform doing the basics well.
Ignoring technical SEO is the second. AI search runs on top of indexable, well-structured websites. Technical debt is now a visibility problem across every search surface, not just Google.
The third is creating content for algorithms instead of users. Generative AI SEO doesn’t reward content built to game the system. It rewards content that genuinely answers the question. The Limits of AI and Automation in Modern Marketing Teams covers more on why this principle keeps holding up.
The Agencies That Win Are the Ones That Can Deliver
AI search is changing how people discover information, but it’s not changing what makes content worth surfacing. Quality, authority, clarity, and trust still win. The agencies building visibility for their clients across AI Overviews, LLM citations, and traditional results are the ones already investing in solid SEO. They’ve just expanded the surface area.
The constraint, for most agencies, isn’t the strategy. It’s the bench. The work doesn’t move in a straight line, and AI search has only added to what clients are asking for. Saying yes to that work without burning out the team or watching margin compress takes a different kind of team structure than most agencies are running.
Ghost Sherpa is the LATAM talent bench for agencies that want to deliver more work, more profitably. We give you vetted SEO and content talent that scales with your work, project-based, fractional, or full-time.
Built for scale. Wired for profit. Book a call with Matt to talk through what fits.
Frequently Asked Questions
How do I optimize my website for AI search?
Focus on the same fundamentals that drive traditional SEO: high-quality content, strong technical foundations, and clear topical authority. AI search optimization rewards the same signals as Google ranking.
What are Google AI Overviews and how do they work?
AI Overviews are generative responses that appear at the top of Google’s results page. They gather information from multiple sources and cite them, pulling primarily from pages that already rank well.
What is AI search optimization?
It’s the practice of structuring your content and technical setup so AI systems can read, understand, and cite your site in their generated answers.
How can businesses improve LLM visibility?
Build topical authority, earn citations from credible sources, maintain a strong technical foundation, and create content that’s worth quoting.
Does traditional SEO still matter for AI search visibility?
Yes. AI systems still rely on traditional search indexes to ground their answers. Sites that rank well organically are the ones most likely to be cited by AI.