On-Page SEO for AI Search: 12 AEO/GEO Tricks
Traditional on-page SEO was built for one reader: a crawler that indexed your page and a human who scanned it afterward. That world hasn’t disappeared, but it now shares the stage with two newer audiences. Answer Engines (Google’s AI Overviews, voice assistants, featured-snippet systems) and Generative Engines (ChatGPT, Perplexity, Claude, Gemini) that don’t just rank your page, they read it, extract a piece of it, and hand that piece to a user with your name attached, or without it.
Answer Engine Optimization (AEO) is about winning the direct-answer box. Generative Engine Optimization (GEO) is about becoming the source an LLM decides to cite when it writes its own answer. Both reward a different kind of on-page discipline than classic keyword-and-backlink SEO, and most of that discipline is still not common knowledge. Here’s what actually moves the needle right now.
1. Write in “extractable chunks,” not flowing prose
LLM-based retrieval doesn’t read your page top to bottom the way a human does. It breaks it into chunks and evaluates each chunk on its own merit. If a chunk depends on a sentence three paragraphs earlier to make sense, it’s a bad candidate for citation. So structure every section to be a self-contained unit: state the entity or subject explicitly rather than using “it” or “this approach,” open with a topic sentence that would make sense pulled out of context, and close with a brief line that reinforces the takeaway. Think of each H2/H3 section as something that could be airlifted out of your page and dropped into someone else’s answer and still make complete sense.
2. Lead with the answer, then explain – The inverted pyramid, but stricter
Journalists have used the inverted pyramid for a century; AI answer systems have quietly made it mandatory. Under every heading, give a direct 40–60 word answer to the question the heading implies before you go into nuance, caveats, or backstory. Engines scanning for a quotable answer will often lift that first block verbatim. If your best insight is buried in paragraph four “for narrative flow,” you’re optimizing for a reader who no longer controls whether your content gets seen.
3. Turn up your “fact density” and turn down the hedging
“Many businesses see improved results” is invisible to both classic ranking systems and LLM extraction — it’s not a fact, it’s filler. “74% of businesses in a 2025 survey saw improved conversion” is a citable claim. Go through your draft and replace vague qualifiers with real numbers, dates, and named sources wherever you can back them up. This does double duty: it reduces the hallucination risk that makes generative engines cautious about citing you, and it gives them something concrete to quote.
4. Publish the data nobody else has
This is the single most underrated GEO lever. Generative engines are trained to prefer primary sources over secondary summaries when a claim needs backing. So if your page is just another rewrite of stats everyone else already published, there’s no reason to cite you specifically instead of the ten other sites saying the same thing.
Original surveys, internal benchmark data, a proprietary calculator, or even a small aggregated dataset from your own product usage creates something genuinely uncitable elsewhere, which makes it disproportionately likely to become the line an AI engine quotes and links back to.
5. Adopt a neutral “reference voice” instead of a marketing voice
Wikipedia-style, declarative, third-person phrasing (“X reduces Y by Z” rather than “We believe our solution can help reduce Y”) reads as more trustworthy to models trained to prefer encyclopedic, low-bias language. Drop first-person sales framing from the sections you actually want cited — save the persuasive copy for calls to action, not for the factual core of the page.
6. Use schema markup as a machine-readable trust signal, not just a snippet trick
Most sites implement schema for the rich-snippet bonus and stop there, missing the parts that matter most for entity recognition:
- In Organization schema, fill out the
sameAsarray with links to your LinkedIn, Crunchbase, G2, and other authoritative profiles — this is how models cross-reference that your entity actually exists and is legitimate. - In Article schema, populate
author.urlwith a real author bio page (not just a plain-text name) and keepdateModifiedcurrent whenever you meaningfully update content — stale-looking dates get quietly deprioritized. - For FAQ schema, phrase questions the way a person would actually ask them conversationally, and make sure every marked-up question is visibly rendered on the page in the same wording — a mismatch between schema and visible text is one of the fastest ways to get your structured data ignored or distrusted.
- Link multiple schema blocks together with
@graphand@idreferences (e.g., tying an Article’spublisherdirectly to your Organization entity) rather than leaving disconnected JSON-LD blocks scattered across the page.
7. Build comparison and “alternative to” pages yourself
If you don’t publish an objective “X vs. Y” or “Alternatives to [Competitor]” page, a third-party site will — and generative engines lean heavily on comparison content when answering commercial-intent queries, often citing competitor or review sites over the brand’s own page by a wide margin. Own that narrative on your own domain with a genuinely balanced comparison, and you become a candidate source instead of ceding the answer entirely to someone else’s framing.
8. Get discussed where the models already trust the conversation
LLMs weight community “consensus” sources — Reddit threads, G2 and Capterra reviews, niche forums — heavily when validating a claim before citing it, because that’s where they see real, less-gameable social proof. This isn’t classic link building; it’s presence building. A handful of genuine, detailed mentions in the right subreddit or review platform can do more for citation odds than another backlink to your homepage.
9. Link outward to primary sources, not just inward to your own pages
Citing government data, academic research, or standards bodies inside your content places your page inside the same “trusted neighborhood” those sources occupy in a model’s training and retrieval space — a phenomenon sometimes called co-citation. Internal linking still matters for crawl structure, but outbound links to primary authorities is the part almost nobody bothers with, and it’s one of the cheaper AEO/GEO wins available.
10. Explicitly invite the AI crawlers in — and be precise about it
Blocking GPTBot in robots.txt doesn’t block OAI-SearchBot or ChatGPT-User — each AI vendor now runs separate bots for training, search indexing, and live user-triggered fetches, and each needs its own directive. If you want to appear in ChatGPT or Perplexity answers but don’t want your content used for model training, you can allow the search/retrieval bots (OAI-SearchBot, ChatGPT-User, PerplexityBot, Claude-SearchBot, Claude-User) while disallowing the training bots (GPTBot, ClaudeBot, Google-Extended). Also make sure the content that matters is server-side rendered or present in the initial HTML — several AI crawlers don’t execute JavaScript the way Googlebot does, so client-side-rendered content can be functionally invisible to them even though it looks fine to a human visitor.
11. Consider a machine-readable summary layer (llms.txt or an /ai page)
An emerging, still-underused tactic: publish a plain, marketing-stripped summary of your key pages, product facts, and documentation — either as an llms.txt file at your root or a dedicated /ai page — so that generative engines have a clean, unambiguous source to parse instead of having to infer facts from styled marketing copy. It’s not a guaranteed ranking factor yet, but it costs little to test and gives models an easy, low-noise reference point for your entity.
12. Keep a standing “freshness pass” on anything with numbers in it
A stat that was accurate in 2023 and never updated is a liability by 2026 — generative engines increasingly discount or skip content that reads as stale, especially anything with a year or a percentage in it. Put your highest-traffic, most-cited pages on a recurring review cycle, update the numbers and the dateModified field together, and treat that maintenance as part of SEO, not an afterthought.
Putting it together
None of these tricks replace the fundamentals — solid keyword targeting, clean site architecture, genuine expertise, real backlinks. What they do is translate those fundamentals into a format two additional audiences can actually use: an answer engine looking for a clean, quotable block, and a generative engine looking for a trustworthy, well-attributed source it’s confident enough to cite by name. The sites that win the next few years of search visibility will be the ones writing for all three readers — crawler, human, and model — at the same time.
Fast checklist to apply this week:
- Rewrite your top 5 pages’ opening paragraphs into 40–60 word direct answers
- Break long sections into self-contained ~200–400 word chunks with descriptive subheadings
- Add
sameAs,author.url, anddateModifiedto your schema where missing - Publish or update one comparison/alternative page
- Fix your robots.txt to allow AI search bots deliberately, not by accident
- Refresh the stats on your 3 most-cited posts
