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The Top 5 AEO/GEO Strategies in 2026
Quick answer: the five AEO and GEO strategies doing the most work in 2026 are off site brand mentions, YouTube, Facebook, on site blog content, and Reddit optimization, in that order. Off site mentions sit at number one because getting your brand named across dozens of independent industry sources is still the strongest signal for getting picked up in ChatGPT, Perplexity, Google AI Overviews, and Gemini. Below, we break down why each one made the list, what changed this year, and how to actually execute on it.
If you have spent any time optimizing for AI search over the last twelve months, you already know the ground keeps moving. Citation patterns that held steady for months can flip in a week. A platform that was the golden ticket to AI visibility in June can look shaky by August. That volatility is exactly why we built this list around what is actually happening in AI search right now, not what worked two years ago when ChatGPT was still a novelty and "GEO" wasn't even a term yet.
We have run AEO and GEO campaigns across a wide range of industries, and the strategies below are the ones we keep coming back to because they consistently move the needle on brand visibility inside AI answers. Let's get into it, starting at number five.
5. Reddit Optimization
Reddit had a rough month in the AI search world, and if you only skim the headlines, you'd think it fell off entirely. It didn't, and treating it that way would be a mistake.
Here's what actually happened. Through most of the summer, Reddit sat at a steady average of around 3.83% of ChatGPT's citation share, one of the highest of any single domain tracked. In mid August, that share collapsed to under 1% within days, an 86% relative drop according to Promptwatch's tracking data. Naturally, this set off a wave of "Reddit is dead for AI search" posts across LinkedIn and marketing forums.
Except this isn't the first time this has happened. A similar pattern played out in September 2025, and again in mid June 2026, when Reddit's share of ChatGPT citations dropped from around 7% to under 1% in about a week, only to climb back up to roughly 5% within two months. The pattern seems to repeat itself every few months, and there's no strong reason to believe this time is permanent either.
What's more interesting is what's happening under the hood. Research digging into ChatGPT's search behavior found that even when Reddit threads aren't showing up as visible citations, ChatGPT is still fetching them, sometimes going back years into Reddit's archive, specifically to gauge sentiment and opinion on brands it has already shortlisted. In other words, Reddit conversations may still be shaping what the AI says about your brand, even when Reddit itself gets zero credit in the answer. That's a hard thing to measure, but it lines up with how these models have behaved historically: official brand pages get used for facts, and third party sources like Reddit get used for opinion.
It's also worth noting the drop is largely a ChatGPT specific phenomenon. Google's AI Overviews only saw an 11% decline over the same period, and AI Mode a more moderate dip. Reddit is still heavily relied on by Perplexity, Gemini, Copilot, and Meta AI, and it remains one of the largest single contributors to the training data these models were built on in the first place.
What to actually do about it:
- Keep participating genuinely in subreddits relevant to your industry. Spammy, obviously promotional posts get filtered out fast and don't help you, especially now that models appear to be weighing sentiment more than raw mention count.
- Encourage real customers to talk about your product organically. You can't fake this one, and trying to usually backfires.
- Don't panic and abandon Reddit because a single tracker showed a scary chart. These swings have happened before and reversed before.
- Think in terms of years, not weeks. Some AI search tools are pulling Reddit threads that are a decade old, so what you build there compounds slowly.
4. On Site Blog Content
This one doesn't get talked about enough because it isn't flashy, but it might be the highest ROI item on this entire list. Your own blog is the cheapest, fastest, and most scalable content format you have, and it's the one place where you control every variable: structure, freshness, schema, and exactly which questions you're answering.
The data backs this up. Longer, well structured articles are cited noticeably more than short ones. Pages running north of 2,900 words average around 5.1 citations compared to 3.2 for pages under 800 words. Pages with clear FAQ sections see a meaningful bump in citations over pages without them, and proper schema markup (Article, FAQPage, HowTo) correlates with a 44% increase in citation rates. None of that requires a video crew, a PR budget, or a single outside relationship. It just requires writing.
The trick is writing for extraction, not just for readers. AI search tools tend to pull bounded excerpts from a page rather than reading the whole thing top to bottom, so each section of your blog post needs to stand on its own. Put the direct answer near the top of each section instead of burying it under three paragraphs of setup. Structure content so a model could lift a single paragraph out of context and it would still make complete sense.
Freshness matters more than most people assume, too. Some AI search tools appear to apply short recency windows, as tight as 30 days, on commercial and comparison style queries. A pricing or "best of" page that hasn't been touched in months is quietly competing from outside that window on exactly the queries where brands get compared against each other. Update your key pages regularly, and make sure the changes are real, not just a timestamp swap.
What to actually do about it:
- Publish consistently, targeting the exact, natural language questions your buyers are typing into ChatGPT and Google, not just short head keywords.
- Write in self contained sections with the answer stated clearly near the top of each one.
- Add FAQ sections and proper schema markup to your most important pages.
- Revisit and genuinely update your commercial and comparison pages on a regular cycle, not just once a year.
3. Facebook
Facebook is the one nobody is talking about, and that's exactly why it belongs on this list. Several 2026 citation trackers put Facebook among the top handful of most cited social platforms in AI search answers, generally behind Reddit and YouTube but ahead of most other social networks. And unlike Reddit and YouTube, almost nobody is actively optimizing for it.
Think about how most AEO and GEO strategies get built right now. Agencies and in house teams pour their energy into Reddit threads and YouTube videos because those get the most attention in case studies and LinkedIn posts. Meanwhile, Facebook Business Pages, Groups, and reviews sit there mostly ignored, even though they're public, indexable, and full of exactly the kind of consensus signal these models look for. That gap is an opportunity. Low competition for a channel that still carries real citation weight is not something you find often in this space.
What to actually do about it:
- Fully build out your Facebook Business Page: complete profile, accurate categories, active posting, and a steady flow of genuine reviews.
- Participate in Facebook Groups relevant to your industry the same way you would on Reddit, with real engagement rather than drive by links.
- Encourage customers to tag or mention your brand in posts and comments. Engagement and conversation depth appear to matter, not just raw follower counts.
- Don't treat this as a "set it and forget it" channel. Consistency is what separates a page that gets pulled into AI answers from one that gets ignored.
2. YouTube
YouTube is the biggest video platform in AI search by a wide margin, and it's also one of the easiest content formats to produce at scale once you understand what these models are actually reading. It's not the visuals. It's the spoken words, the transcript, the title, and the metadata.
The numbers here are hard to ignore. Across a large citation dataset, YouTube and Reddit together account for over three quarters of all social media citations in AI search, with YouTube alone making up nearly a third of that. Separate research from Ahrefs, analyzing roughly four million URLs cited in Google AI Overviews, found YouTube accounted for 5.6% of all cited URLs, and among cited pages that didn't even rank in Google's top 100 traditional results, 18.2% were YouTube videos. That last stat is the important one. A video can earn AI visibility on its own, independent of how it performs in classic organic search.
We saw this play out directly with a client of ours, Clean Harleys, a pre owned motorcycle dealership in Bedford, Texas. Before we touched their YouTube presence, they had 0% visibility across the AI search prompts we were tracking for them. We produced two AEO optimized videos, each built with an intent matched title, a direct spoken answer early in the video, a full transcript, structured metadata, and clear brand mentions throughout. Within about a month of publishing, Clean Harleys' visibility jumped from 0% to 17%. The two videos became the second and third most referenced citation sources across all the LLMs we were tracking, and the brand moved from the 15th most mentioned dealership in its category to 7th. On one specific prompt, "best online dealership that buys Harley Davidsons," visibility peaked at 52%. Total cost for the two videos: 499 dollars. You can read the full breakdown in our Clean Harleys case study.
That's the case for YouTube in a nutshell. It's inexpensive relative to the visibility it can generate, it's fast to produce, and it works even for smaller, local, or niche brands that would never crack the top of a competitive Google results page.
What to actually do about it:
- Build videos around the exact questions your buyers ask, and answer the question out loud, clearly, early in the video.
- Always upload a complete, accurate transcript. This is often what the model is actually parsing.
- Write intent matched titles and descriptions rather than clever or vague ones.
- Mention your brand name clearly and repeatedly throughout the spoken content, not just in the description.
1. Off Site Brand Mentions
At the top of the list is the strategy with the most leverage: getting your brand mentioned across as many relevant, independent, off site sources as possible, especially industry roundups and "best of" listicles.
Here's why this sits at number one. Comparative listicles, the "best X for Y" style articles, account for roughly 32.5% of all AI citations, more than any other single content format tracked. Brands that show up across four or more different platforms are about 2.8 times more likely to appear in ChatGPT responses compared to brands with a narrower footprint. Getting mentioned on third party review sites like G2, Capterra, or Trustpilot increases citation likelihood by roughly 3 times, and brands that come up organically in Reddit or Quora discussions see about 4 times higher citation likelihood than those that don't.
The underlying logic is different from classic link building, and it's worth understanding why. AI models aren't just counting backlinks or checking domain authority the way Google's algorithm traditionally has. They're building a kind of consensus. When a brand keeps showing up, independently, across review sites, industry blogs, comparison articles, forums, and roundups, the model treats that repetition as a signal that the brand is a real, established player worth mentioning. A single high authority backlink from one guest post doesn't create that same effect. Twenty smaller, independent mentions across your industry usually will.
This is also why off site mentions have more staying power than almost anything else on this list. You don't control someone else's blog post the way you control your own site, which makes it harder to build, but it also makes each mention more credible in the eyes of both readers and AI models. It's earned, not owned, and that distinction seems to matter to how these systems weigh trust.
What to actually do about it:
- Identify the listicles and roundup articles already ranking and getting cited in your industry, and pursue placement in as many as realistically possible.
- Build relationships with niche industry publications, not just the biggest name outlets. A smaller blog that's deeply relevant to your category can outperform a major publication that only mentions you in passing.
- Get your brand onto relevant third party review platforms and actively encourage genuine reviews.
- Treat this as an ongoing program, not a one time push. The goal is broad, repeated surface area across the web, and that takes sustained outreach.
Bringing It All Together
None of these five strategies work in complete isolation. A brand mentioned on ten industry listicles but with zero on site content to back it up is going to struggle just as much as a brand with a beautifully optimized blog but no presence anywhere else on the web. The brands winning in AI search right now are the ones treating this as a coordinated footprint across owned content, video, social, forums, and earned mentions, not a single channel bet.
2026 has already shown us that AI search platforms change their retrieval and citation logic without warning, sometimes overnight. The strategies above are the ones that have proven resilient through those changes because they're built on fundamentals: genuine authority, real content depth, and broad, credible presence across the web. That's a foundation that holds up no matter which platform updates its algorithm next.
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