More than two-thirds of Google searches now end without a single click, according to a June 2026 SparkToro study. Two years ago, that number was closer to 60%. That’s the fastest jump in the trend in a decade.
At the same time, buyers who research through AI tools like ChatGPT and Gemini are converting at meaningfully higher rates than buyers who stick to traditional search. Put those two facts together and you get the real reason AEO vs SEO has become the conversation every marketing team is having. The channel where your buyers spend their attention is splitting in two, and the old scoreboard doesn’t capture what’s happening in one of those halves.
So which one should you be optimizing for? The honest answer is both. They reward different things, and knowing the difference is what separates a strategy from a guess. Here’s how to think about it.
What Is AEO (Answer Engine Optimization)?
AEO stands for answer engine optimization: the practice of getting your brand mentioned, cited, or recommended inside AI-generated answers, rather than just ranked in a list of links.
“Answer engines” is the umbrella term for the tools doing this: ChatGPT, Perplexity, Gemini, and Google’s AI Overviews. When someone asks one of these tools a question, it doesn’t hand back ten blue links. It synthesizes an answer and, ideally, names your brand as part of it.
The simplest way to separate the two disciplines:
- SEO helps your website rank in search results.
- AEO helps your brand get mentioned inside the answer itself, even if no one ever clicks through.
That distinction sounds small. It isn’t.
AEO vs SEO: What’s Actually Different
Take a real example: “best project management software for small teams.”
Winning at SEO looks like ranking in the top three organic results for that phrase, earned through backlinks, page authority, technical performance, and keyword-optimized content.
Winning at AEO looks like being one of the three tools ChatGPT actually names when someone asks it the same question, earned through consistent brand mentions across review sites, clear comparison content, and a reputation the AI model has learned to trust.
Neither one requires the other to fail. But they’re graded on different rubrics:
- SEO rewards: backlink profile, domain authority, technical site health, on-page keyword optimization
- AEO rewards: clarity and structure of your answers, how consistently you’re described across third-party sites, and whether your content is easy for a model to extract and cite
The good news: strong SEO fundamentals (clear structure, credible content, authoritative backlinks) feed AEO too. You’re not starting over. You’re adding a second scoreboard.
Why Zero-Click Search Changes the Math
The zero-click search trend is the reason this shift feels urgent instead of theoretical.
According to a June 2026 SparkToro study, 68% of Google searches now end without a click to any website, up from roughly 60% just two years ago, and the sharpest acceleration the firm has measured in ten years of tracking this. Worth noting: SparkToro’s own researchers flag that the historical comparison isn’t perfectly apples-to-apples, since the data sources behind each year’s number have changed over time. The exact percentages carry some caveats. The direction does not.
What that means in practice: a page can rank well and still generate close to nothing in the way of a visit, because the answer got served on the results page, or inside a chatbot, before anyone had a reason to click.
That’s why organic traffic, on its own, is losing its usefulness as a growth metric. It’s still worth watching. It’s no longer sufficient by itself. A few better companions:
- Share of voice in AI-generated answers for your category
- How often (and how accurately) you’re being cited by name
- Conversion quality from AI-referred visitors, not just volume
What Doesn’t Change
None of this means SEO is dead, a claim that gets made every couple of years and hasn’t been true yet.
Some categories are still overwhelmingly SEO’s turf:
- Branded searches: people looking for you by name
- Local intent: “near me” and location-based queries
- High-intent transactional searches: someone ready to buy right now, typing exactly what they want
The smart move isn’t choosing AEO over SEO. It’s recognizing that SEO still earns the click-ready buyer, while AEO earns the buyer who’s still forming their shortlist, often before they’ve visited a single website.
How to Optimize for AI Search: AEO Best Practices
If you’re wondering how to optimize for AI search without overhauling everything you already do, start with the fundamentals that make content easy for a model to extract, trust, and cite.
A short list of AEO best practices to work through:
- Answer the question immediately. Put the direct answer in the first two or three sentences of a section. Models tend to pull from the clearest, most front-loaded explanation.
- Use question-based headers. Structure H2s and H3s the way people actually phrase questions to an AI tool, not just as keyword strings.
- Keep your brand description consistent everywhere. Your website, G2 profile, LinkedIn page, and press mentions should describe what you do in the same terms. Inconsistency confuses the model and dilutes your citation strength.
- Earn mentions on the sites AI models actually pull from. Review platforms, Reddit threads, and industry publications carry real weight in how answer engines form their responses.
- Add structured data. FAQ and article schema make it easier for AI crawlers to parse exactly what your page is saying.
- Publish something worth citing. Original data, a clear point of view, or a genuinely useful framework gets cited far more often than a rehash of what’s already out there.
- Check in on your visibility regularly. Ask the questions your buyers would ask, across ChatGPT, Perplexity, and Gemini, and see whether you show up, and how.
None of this requires abandoning your existing content plan. It requires reformatting parts of it with a different reader in mind: a model, not just a person scanning a page.
Should You Handle AEO In-House, or Work With an Agency That Specializes in AI Search Optimization?
For a single-location business, this is already a fair amount to manage. For multi-location and franchise brands, it multiplies fast, and it multiplies in a way that’s easy to underestimate.
Here’s why: answer engines lean heavily on local listings, reviews, and location-specific content when they’re answering anything close to “best [service] near me” or “[brand] location in [city].” If your listings are accurate and consistent for 40 of your 50 locations but thin, outdated, or conflicting for the other 10, that inconsistency doesn’t just hurt those 10 markets. It weakens the model’s overall confidence in how it describes your brand everywhere.
AEO for a multi-location brand isn’t one optimization problem. It’s the same problem repeated across every market you operate in, and it only takes a handful of weak spots to drag down the rest.
A few signals to help you decide:
In-house AEO might be enough if:
- You operate a small number of locations with centralized content and listings management
- Your local SEO and local listings are already clean, consistent, and actively maintained
- You have the bandwidth to monitor AI visibility market by market, not just at the brand level
It’s worth looking at agencies that specialize in AI search optimization if:
- You’re managing dozens or hundreds of locations, especially with franchisee-generated content or listings
- Local listings accuracy has been a persistent, manual headache rather than a solved problem
- You need a way to monitor AI visibility across every market at once, not just spot-check a few
- You want national brand consistency in how AI describes you, while still showing up for local, location-specific questions
This is the exact intersection Imaginuity works in every day. Local listings management, local SEO, and now AEO aren’t separate projects for a multi-location brand. They’re one connected system, and they need to be managed like one.
The Bottom Line
Organic traffic used to be the proxy for growth. Zero-click search has made that proxy unreliable, and AI search is quickly becoming the moment where your highest-intent buyers form their opinion of you, often before they ever land on your site.
AEO vs SEO isn’t really a competition. It’s a both/and problem, and the brands that treat it that way now will have a real head start on the ones still waiting to see if this is a passing trend.
See Where Your Locations Stand in AI Search
If you manage marketing for more than one location, the real question isn’t whether your brand shows up in AI search. It’s whether every single location does, consistently and accurately.
Imaginuity can run a quick AI visibility check across your locations, flag the listings and content gaps holding you back, and map out what an AEO strategy would actually look like for a brand your size. Contact us and let’s find out where you stand.
