Your buyers are asking ChatGPT, Perplexity, and Gemini about your category before they ever touch Google. If you're not in the answer those tools generate, you're not in the consideration set. This is the unglamorous, increasingly important work of answer engine optimization (AEO), also called generative engine optimization (GEO) or LLM SEO depending on who's writing the article.
The honest version: most of what's written about AEO right now is repackaged SEO advice with "AI" in the title. Some of it works. A lot of it doesn't. Here's what actually moves the needle for a B2B company trying to get cited in LLM answers in 2026.
What is answer engine optimization
Answer engine optimization is the work of getting your company, content, or expertise cited by AI-powered answer engines like ChatGPT, Perplexity, Gemini, Claude, and Copilot.
Different from SEO in three ways:
One: there's no "results page." The answer is the whole interface. There's no second page to click to. If you're not in the answer, you're not anywhere.
Two: citation isn't a click. When an LLM cites your blog post, the user may never visit your site. The "win" is being named in the answer, building authority and trust, and converting on the buyer's next behavior (direct search, branded query, asking again).
Three: the ranking algorithm is opaque. Google's algorithm is somewhat understood. LLM citation logic is mostly a black box. Best practices are emerging, but most "AEO best practices" articles are extrapolating from limited data.
The simplest test: open ChatGPT, Perplexity, or Google AI Mode, and ask "what are the best [your category] tools for [your buyer]?" If you're not in the answer, AEO is now part of your marketing job.
Why AEO matters in 2026
Three shifts make AEO non-optional for B2B companies:
Buyer behavior changed faster than B2B marketing budgets did. Perplexity is doing 700M+ queries/month. ChatGPT is being used as a search alternative by an estimated 35% of B2B buyers for category research. The traffic isn't shifting; the search itself is shifting. Google's still the biggest channel, but its share of "first research" is shrinking.
The competitive landscape on AEO is wide open. Most B2B companies haven't done a thing about AEO. Being one of the first companies in your category to be cited in ChatGPT answers buys 12-18 months of compounding visibility before competitors catch up.
LLM citations create direct trust. Being cited by an LLM the buyer trusts is a stronger trust signal than ranking on Google. The user feels the AI "chose" you, not that you bought your way to the top.
How LLMs decide who to cite
The honest answer: nobody fully knows. But here's what's emerging from real experiments:
They weight authoritative sources heavily. Wikipedia, major publications, and well-established industry sites are cited disproportionately. New domains struggle to get cited until they're picked up by authoritative sources.
They prefer structured, factual content. Lists, tables, comparison pages, FAQs, and definition-style content get cited more than essays. Format matters.
They look for explicit comparisons and recommendations. "Best X for Y" pages, "X vs Y" pages, and curated lists get cited because they help the LLM construct a balanced answer.
They cite recent sources for current questions. "Best B2B marketing agencies in 2026" beats "Best B2B marketing agencies in 2023" by a wide margin for a query asked today.
They look for original data. A page that says "we surveyed 500 CFOs and found..." has a stronger citation case than a page that summarizes other people's data.
They use schema and structured markup. Pages with proper FAQ schema, organization schema, and product schema get cited more reliably than pages without.
AEO strategy that actually works
A short, opinionated playbook for getting your B2B company cited in LLM answers:
1. Build "best [category] for [buyer]" pages
This is the highest-leverage AEO move. Pages that rank in Google for "best [category]" queries get cited disproportionately by ChatGPT and Perplexity because the LLMs are using web search underneath the hood to construct answers.
Example targets for a B2B SaaS marketing agency: "best B2B marketing agencies for SaaS," "best fractional CMO companies," "best lead generation companies for B2B." The pattern works in every category.
2. Get cited by Wikipedia, Reddit, and recognized industry sources
LLMs heavily weight a small number of authoritative sources. Get mentioned in Wikipedia, Reddit threads in your buyer's subreddit, recognized industry publications. Each citation increases your chance of being included in LLM answers.
This is slow, brand-driven work. Hard to fake. Real over time.
3. Publish original data your buyer cares about
LLMs cite original data because original data is non-redundant. The State of [X] report, the [Industry] Benchmark, the [Buyer Segment] Survey — these get cited because no other source has the numbers.
Original data also creates inbound links (which boosts Google rank, which boosts LLM citation rate).
4. Add proper schema to every page
FAQ schema, Article schema, Organization schema, Product schema, BreadcrumbList schema. All free, all underused. The schema isn't just for Google rich snippets anymore. LLMs read structured data when they parse pages.
The SEO injection script on this site adds proper schema to every page. If your site doesn't have schema, that's the first AEO move worth making.
5. Be opinionated and explicitly comparative
LLMs need to construct balanced, comparative answers. They cite sources that make explicit claims with explicit reasoning. A page that says "Tool X is better for [specific buyer] because [specific reason]" is more useful to an LLM than a page that vaguely praises Tool X.
The voice rules that work for SEO content (declarative, specific, comparative) also work for AEO content.
6. Build a footprint in your buyer's ChatGPT context
LLMs personalize answers based on the user's context. A B2B founder who's been searching for "fractional CMO" all week is more likely to see fractional CMO content surface in their answers. The work isn't about being cited universally; it's about being cited for the buyers you actually want.
This means publishing content that matches the queries your specific ICP would ask.
7. Make your About and Author pages credible
LLMs check author authority and organizational credibility. An author page with real credentials, real publications, real social signals gets cited more than an anonymous byline. Same for company About pages — clear team, real customers, real numbers.
The mark-evans.jpg on author pages across this site is part of this work. So is the customer logo strip, the named case studies, the real podcast back catalog.
AEO tactics that don't work (or stopped working)
A few things that get recommended but don't actually move the needle in 2026:
Stuffing pages with FAQ schema for every possible query. LLMs detect and discount over-optimization just like Google does. Use schema for real FAQ content, not synthesized FAQ content.
Using "AI-friendly" content templates. Most of these are just generic content templates with extra metadata. The content quality is what matters, not the template.
Paying for "AEO services" from agencies. Most AEO agencies are SEO agencies that rebranded. The actual AEO work is mostly content quality, schema, and authority signals — the same fundamentals as good SEO. Beware anyone selling AEO as a separate service.
Tracking individual LLM citations obsessively. The tooling isn't mature enough to measure this reliably. You'll spend more time on the measurement than on the work that actually drives citations. Focus on the work; trust that good work compounds.
How to know if your AEO is working
Three signals that don't require sophisticated tooling:
Direct traffic growing. When LLMs cite you, users often type your URL directly later. Direct traffic growth is the easiest AEO success signal to track.
Branded search volume growing. When buyers see your name in an LLM answer, they often Google your brand name afterward. Branded search volume is a lagging but reliable AEO signal.
Sales conversations mention LLM citations. "I asked ChatGPT and your company came up" is the most direct signal possible. Train your sales team to log how prospects heard of you. AEO attribution shows up in the qualitative data first.
How to start AEO this week
Three concrete steps:
One: ask the question. Open ChatGPT, Perplexity, and Google AI Mode. Ask "what are the best [your category] for [your buyer]?" Note who's cited. That's your competitive landscape on AEO right now. You'll learn more from this 5-minute exercise than from most AEO articles.
Two: pick the one "best X for Y" page you should build. The page that targets the most common buyer query in your category. Publish it with proper schema, real comparisons, and a clear point of view.
Three: audit your existing content for AEO friendliness. Does each page have schema? Are your authors named and credentialed? Are your comparison pages explicit about who you're better for and who you're worse for? Most B2B content fails on at least one of these.
If your foundational positioning isn't sharp, AEO won't fix it. Buyers asking ChatGPT about your category will be told "X exists" but won't have a reason to choose X over the alternatives. The free marketing audit scores your positioning in 60 seconds; the Pipeline Story Sprint fixes it in 90 days. AEO compounds on top of sharp positioning, not in place of it.
The buyers asking ChatGPT about your category right now are going to remember whoever's in the answer. Is your company in the answer? If not, that's the AEO project worth starting this week.
