AI Search in Mid-2026: A Big Update on SEO, AEO and GEO

Six months ago I wrote about using AI to do your SEO. Halfway through 2026, the bigger story is the reverse: doing SEO for AI. The acronyms have multiplied (SEO, AEO, GEO, LLMO, "search everywhere optimisation"), and under the jargon, the way people find websites really has changed. This is my mid-year update: what the data says, what's changed in the last few months, and the checklist I'm applying to this site.

The acronyms, in plain English

Half the confusion in this space comes from people using three names for the same thing, so here are the definitions.

• SEO (Search Engine Optimisation) is the classic discipline: ranking in the blue links on Google and Bing. It's still alive, and still the biggest single source of traffic for most sites.
• AEO (Answer Engine Optimisation) means optimising to be the answer: featured snippets, voice assistants, and the AI answer boxes that sit above the blue links.
• GEO (Generative Engine Optimisation) means optimising to be cited inside generated responses from ChatGPT, Perplexity, Claude, Gemini and Google's AI Mode. You're chasing a mention instead of a rank.

Google itself now publicly frames preparing for generative search as part of SEO, which tells you a lot. The techniques overlap heavily. I think of AEO and GEO as new distribution channels for the same underlying asset: clear, structured, trustworthy content.

The numbers that changed my mind

A year ago I was fairly relaxed about all this. The mid-2026 data made me sit up. Here are a few figures from recent industry studies. They're all vendor research, so treat the exact numbers as directional, but they all point the same way.

• AI Overviews now appear on roughly half of Google searches and are in front of over 2 billion monthly users. When an AI Overview shows up, organic click-through rates drop by around 60%.
• Google's AI Mode goes further: around 93% of AI Mode sessions end without a single click to a website.
• Publisher traffic is falling. Google search traffic to publishers dropped about a third in the year to late 2025, and smaller sites are being hit hardest.
• Ranking well no longer guarantees being cited. The overlap between Google's top 10 organic results and the sources AI engines cite has collapsed, from roughly 70-75% in mid-2025 to somewhere between 17% and 38% in early 2026, depending on whose study you read. AI engines are developing their own taste in sources.
• The engines behave very differently. Perplexity cites sources on about 97% of answers; ChatGPT cites on closer to 16%. The market is shifting too: recent traffic reports show Claude's share of AI search growing sharply through 2026 while ChatGPT's slips.
• For perspective, AI referral traffic grew over 1,000% last year… and still adds up to less than 1% of total web traffic. Gartner expects AI assistants to handle about a quarter of searches this year and half by 2028.

So in 2026, traditional search still delivers most of the visitors, but the growth, and more and more of the influence, sits in the answer layer. If an AI can't read, verify and cite you, you're invisible in the place where a growing share of buying decisions start.

What gets you cited

Getting cited by AI engines isn't magic, and most of it is stuff good SEO practitioners already do. Going by the citation studies published this year, five things consistently help.

1. Let the bots in

This is step zero and it's shocking how many sites fail it. Check your robots.txt and make sure you're not blocking GPTBot, OAI-SearchBot, PerplexityBot, Perplexity-User, ClaudeBot or Google-Extended. If a crawler is blocked, content quality doesn't matter for that engine because you don't exist to it. (Blocking them is a legitimate choice for some publishers. Just make sure you made it on purpose.)

2. Answer-first writing

Start every section, and ideally every page, with a direct, self-contained answer in the first sentence or two, then elaborate. LLMs lift these passages as canonical answers, and studies this year suggest answer-first formatting raises citation likelihood by around 40%. Of all the content changes, this one gives you the most for the least effort, and it also makes your writing better for humans.

3. Structure and schema

Turn dense paragraphs into tables, numbered lists and FAQs where it makes sense. Add schema markup: in some studies, pages with proper structured data get cited several times more often. FAQ blocks seem to carry the strongest individual signal. Keep the question text identical to your visible H2/H3 headings and keep the answers tight, around 40-60 words.

4. Freshness that machines can verify

AI engines strongly prefer recent content. In one analysis, around half of Perplexity's 2026 citations pointed at pages published or updated in 2025. Make sure every page carries an accurate dateModified in its schema, and go back and update your cornerstone posts instead of leaving them to rot.

5. Be quotable, and be consistent everywhere

Engines prefer specific, quotable statements (statistics, concrete claims, named entities) to vague marketing prose. They also cross-check, so your site, your social profiles, directories and third-party mentions should all tell the same story about who you are and what you do. Off-site presence in reviews, listicles and communities feeds the models too. Those reputational signals take longer to show up (think 30-90 days) than on-site fixes, which can surface in Perplexity within days and in ChatGPT within a few weeks.

One caveat

The GEO industry feels like a gold rush right now. New tracking tools, agencies and "AI visibility platforms" launch every week, each with a study proving their approach works. Some of it is useful; plenty is repackaged SEO with a 3x price tag. My rule of thumb: if a tactic wouldn't also improve your site for a human reader or a traditional crawler, be sceptical. Everything in the checklist above passes that test.

The bottom line

SEO is still here, with an answer layer growing on top of it. The blue links still pay the bills in mid-2026, but because what ranks and what gets cited overlap so much less now, good rankings no longer buy you AI visibility for free. The fix is the old discipline done more carefully: let the crawlers in, answer questions directly, structure everything, keep it fresh, and be consistently, verifiably yourself across the web.

I'm working through this checklist on this site over the coming weeks (llms.txt, schema audit, answer-first rewrites of the top posts), and I'll share the before/after citation data once there's enough of it to mean something. If you're doing the same on your site, I'd love to compare notes.