15 AEO Quick Wins for Any Website

Answer Engine Optimization is often framed as a long project. In practice, much of the gap between a site that AI assistants cite and one they ignore comes down to mechanical problems — a crawler blocked by accident, an answer buried six paragraphs deep, a page that only assembles itself in the browser.

Below are fifteen changes you can make quickly, without a redesign. Each explains what to do, why it changes how an AI agent experiences your site, and roughly how much effort to budget. Work down the list in order — the early items are prerequisites for the later ones mattering at all.

1. Audit robots.txt so you are not blocking AI crawlers by accident

This is the single most common self-inflicted wound in AEO. Many sites added blanket crawler rules years ago, or inherited a restrictive default from a CMS, a CDN template, or a security plugin. If the agents that build answer indexes cannot fetch your pages, nothing else on this list has any effect.

Open your robots.txt and read it line by line. Look for wildcard disallow rules, and check for named user-agents such as GPTBot, ClaudeBot, PerplexityBot, Google-Extended, and Bingbot. Decide deliberately which you want to allow, rather than letting an old rule decide for you. A minimal permissive block looks like this:

User-agent: *
Allow: /

Sitemap: https://example.com/sitemap.xml

Then confirm the file is reachable at the domain root and returns a 200 rather than a soft 404 or a login redirect. Also check that your CDN or WAF is not challenging these crawlers even when robots.txt permits them — a JavaScript challenge is functionally a block. Effort: under an hour.

2. Publish an llms.txt file

An llms.txt file sits at the root of your domain and gives language models a curated, plain-text map of what your site contains and which pages are authoritative. It is a short document: a heading with your organization name, a sentence describing what you do, and grouped links to your most important pages with a line of context each.

The value is disambiguation. Instead of an agent inferring your structure from whatever it happened to crawl, you tell it directly which page is the definitive one on each topic. That is especially useful for large sites where several near-duplicate pages compete. Our llms.txt generator will produce a first draft from an existing site. Effort: an hour or two, mostly deciding what belongs on the list.

3. Add Organization and Article JSON-LD

Structured data converts implied facts into stated ones. An Organization block on your homepage establishes your legal name, logo, and official profiles as a single entity. Article markup states the headline, author, publication date, and modification date without an agent having to parse them out of your layout.

Keep the markup honest — it should describe what is genuinely on the page. Validate before shipping, and make sure the author field points at a real named person rather than a generic byline. Effort: half a day for a template-level implementation that applies sitewide.

4. Put the direct answer in the first paragraph under every heading

Traditional web writing builds toward a conclusion. Answer engines work the other way: they extract the span of text that most directly resolves the question and attribute it. If the answer arrives after three paragraphs of context, a competing page with the answer in the first sentence gets quoted instead.

Go through your top pages and rewrite the opening paragraph under each heading so it answers the heading's implicit question in two or three sentences. Keep the supporting context — just move it below. This is the highest-leverage editing change on the list and requires no engineering at all. Effort: fifteen to thirty minutes per page.

5. Convert key prose into real FAQ blocks

Much of the useful detail on a typical site is buried inside long explanatory paragraphs. Pulling that out into explicit question-and-answer pairs matches the shape of how people actually query assistants.

Two rules matter. First, use questions your customers genuinely ask — mine support tickets, sales calls, and site search logs rather than inventing questions that match your marketing. Second, answer in full sentences that stand alone; an answer that only makes sense alongside the question above it does not survive extraction. Pair the visible FAQ with FAQPage structured data. Effort: an hour per page.

6. Give pages a descriptive H2 and H3 structure

Headings are the primary segmentation signal an agent uses to decide which chunk of a page is relevant. Clever or abstract headings destroy that signal. "Pricing that scales with you" tells a model nothing; "How much does the Pro plan cost?" tells it exactly what sits below.

Check three things: that heading levels nest properly with no skipped levels, that each heading describes the content beneath it in plain language, and that headings are real heading elements rather than styled divs. Effort: twenty minutes per page.

7. Make sure content renders server-side

If your key content is injected by client-side JavaScript after page load, some agents will see an empty shell. Rendering behavior varies widely between crawlers and cannot be relied on.

Test it directly: fetch the page without executing JavaScript and read what comes back. If your headings, body copy, and structured data are not present in that raw HTML, that is what a meaningful share of agents receive. Moving to server-side rendering, static generation, or prerendering for content routes fixes it permanently. Effort: varies — trivial on modern frameworks, a real project on a single-page app.

8. Compress and cache to cut time-to-first-byte

Crawlers operate under time budgets. Slow responses reduce how much of your site gets fetched per visit and increase the chance a request is abandoned. This is less about the visual page-load metrics you optimize for humans and more about raw server response time.

Enable modern compression, cache HTML at the edge where content allows it, and make sure your origin responds quickly to uncached requests. Watch for redirect chains — every hop is latency an agent may not spend. Effort: a few hours of configuration.

9. Add named authors and real about and expertise pages

Attribution needs an entity to attach to. If your content is published under a company name with no named humans behind it, an agent has nothing to weigh when deciding whether you are a credible source on a topic.

Create author pages with a photo, a genuine biography, relevant credentials, and links to external profiles. Link every article to its author page and mark the relationship up in your structured data. Strengthen your about page with concrete specifics — founding, location, what you do — rather than positioning language. Effort: a day, mostly writing.

10. Build comparison tables for versus queries

Comparison questions are among the most common things people ask assistants, and tables are unusually easy for a model to parse: each row is a labelled fact with a clear subject.

Build honest side-by-side tables covering the dimensions buyers care about — price, capability, limits, support, integrations. Use real HTML table markup, not images. Being accurate about where a competitor is stronger makes the table more likely to be trusted and reused. Effort: two to three hours per comparison.

11. Publish a glossary of your domain terms

Every industry has vocabulary that outsiders search for. A glossary page, with each term as its own heading followed by a self-contained definition, gives agents a clean source for those definitions and gives you a natural hub to link from.

Define terms in one or two sentences that make sense in isolation, then link each term to the deeper page on your site that covers it. Effort: half a day for twenty to thirty terms.

12. Keep canonical URLs and internal links clean

Duplicate and near-duplicate URLs split the signal for a page across several addresses. Tracking parameters, trailing-slash inconsistencies, and both http and https variants all create copies that dilute which version is treated as authoritative.

Set a self-referencing canonical on every page, standardize on one URL form and redirect the rest, and make internal links point at final destinations rather than at redirects. Use descriptive anchor text — "see our AI citation tracking" carries meaning that "click here" does not. Effort: a few hours to audit, longer if redirects need untangling.

13. Date your content and show a visible last-updated

Recency is a real factor in whether an assistant treats a page as safe to cite, particularly for anything that changes — pricing, regulations, product capabilities, best practices. An undated page is ambiguous, and ambiguity loses to a dated competitor.

Show a human-readable published and last-updated date on the page, mirror both in your Article structured data, and only bump the modified date when you have genuinely revised the content. Then set a review cadence so the dates stay truthful. Effort: an hour to implement, ongoing to maintain.

14. Add alt text and descriptive captions

Charts, screenshots, and diagrams often carry information that appears nowhere in your body text. To a text-based agent, that information simply does not exist.

Write alt text that states what the image shows rather than naming the file, and add captions that carry the actual takeaway. If a chart makes a point, write that point in a sentence near the chart. The accessibility benefit is identical work, so this is rarely a hard sell internally. Effort: a few minutes per image.

15. Start tracking AI referral hostnames and Bing Webmaster data

You cannot improve what you are not measuring, and AI-driven traffic does not show up cleanly in default analytics reports. Assistants send referrals from their own hostnames, and those sessions usually arrive in small volumes with unusually high intent.

Add a segment for referrer hostnames belonging to the major assistants so you can see that traffic separately, then connect Bing Webmaster Tools, which surfaces query and performance data relevant to several AI surfaces. Reviewing which pages get surfaced tells you which of the previous fourteen items paid off. Our citation tracking and agent experience platform pages cover this in more depth. Effort: an hour to set up, then a recurring review.

Where to start

If you only have a day, do four things: check robots.txt for accidental blocks, confirm your content exists in server-rendered HTML, move the direct answer to the top of each section, and add Organization and Article structured data. Those four remove the hard blockers and fix the most common extraction failure.

The rest compounds from there. Publish llms.txt and a glossary in week two, build out author and comparison pages in week three, and by the end of the month you will have measurement in place to tell you what to do next. None of this requires a redesign — it requires treating AI agents as a real audience and giving them a site they can actually read.

If you would rather see where your own site stands before starting, request a free AEO audit or book a demo.