AEO & GEO in 2026: How to Get Cited by ChatGPT, Perplexity and Gemini
AI search has quietly become the new front page. Here's the practical playbook we use to make brands the source that answer engines recommend, cite and link to.
Open your phone and ask three smart friends where they researched their last big purchase. At least one will say ChatGPT. Another will mention Perplexity or Gemini. Google still wins on volume, but for high-intent commercial queries — "best CRM for a 30-person agency", "compare HubSpot vs Pipedrive", "who does AI automation in Dubai" — AI engines are increasingly the first and sometimes only destination buyers visit. If your brand isn't being cited, recommended, or quoted in those answers, you're invisible at exactly the moment the decision is being made.
AEO vs GEO — and why both matter
The terminology is still settling, but the two disciplines solve different problems and require slightly different tactics.
- AEO (Answer Engine Optimisation) — being the source an AI engine cites in its answer to a direct question.
- GEO (Generative Engine Optimisation) — being included inside AI-generated comparisons, recommendations, lists, and product roundups.
Both rely on the same fundamentals — structured content, clear entities, authoritative third-party signals — applied through a new lens. The good news: strong classical SEO transfers almost entirely. The bad news: thin or vague content gets exposed much faster, because models are merciless about ambiguity.
How LLMs actually pick sources
From everything we've observed across hundreds of test prompts, four signals dominate which sources LLMs surface and cite.
- Extractability — can a model lift a clean, specific claim from your page?
- Entity clarity — does the model unambiguously know what your brand is, who you serve, and where you operate?
- Cross-source consensus — is your brand mentioned across many independent, reputable sites?
- Freshness — has the page been updated recently, with dates the model can see?
If a model has to guess what you mean, it won't cite you. Write like you're answering a smart intern who's never met your industry.
Write for extractability
AI engines parse content into atomic facts. Short, declarative sentences with named entities are easier to extract than flowery prose. A handful of editorial rules go a long way.
- Lead every section with a one-sentence answer, then expand.
- Use descriptive H2 / H3 structure — say what the section answers.
- Add FAQ blocks for every commercial-intent question you target.
- Use comparison tables for any "X vs Y" topic.
- Mark up content with FAQPage, HowTo, Product, Article and Organization schema.
- Date your content visibly — "Updated May 2026" beats "Posted in 2023".
Build entity clarity
Models reason about brands as entities, not just strings. The cleaner and more consistent your entity footprint, the more confidently the model can attribute claims to you.
- Maintain a complete, accurate Wikidata and (where eligible) Wikipedia entry.
- Use Organization schema on your site with sameAs links to every official profile.
- Standardise your brand name, founder names, locations and category language across the web.
- Publish a clear "What we do / Who we serve" page in plain language.
Earn third-party mentions
LLMs disproportionately trust sources mentioned across many independent sites. Your own domain matters less than the breadcrumb trail of brand mentions that surrounds it.
- Digital PR — earn placements in industry publications and trade press.
- Podcast appearances — get founders quoted in transcripts with brand context.
- Partner and integration directories — be listed where buyers compare.
- Review platforms — G2, Capterra, Clutch, Trustpilot for your category.
- Wikipedia and Wikidata — where genuinely eligible, get your entity recognised.
Track AI visibility weekly
What gets measured gets improved. Build a small prompt set and run it every week across ChatGPT, Perplexity, Gemini and Claude.
- Category prompts: "best [service] for [audience] in [region]".
- Comparison prompts: "compare [your brand] vs [competitor]".
- Vendor prompts: "who offers [specific capability]".
- Defensive prompts: "is [your brand] any good" — track sentiment and sources.
Track whether you appear, what is said about you, which competitors are gaining ground, and which sources the engines cite. Patterns surface quickly: a single high-authority mention can shift your visibility across all four engines within weeks.
Treat AI visibility like uptime. A weekly dashboard, a named owner, a few rituals. Without those three, optimisation drifts.
A 90-day AEO + GEO sprint
If you're starting from zero, a focused quarterly programme moves the needle on almost any category.
- Weeks 1–2: audit your top 20 commercial URLs for extractability and schema.
- Weeks 3–6: rewrite those pages with answer-first structure and FAQ blocks.
- Weeks 4–8: publish 6–10 buyer-guide and comparison pieces targeting your category.
- Weeks 6–10: secure 5–10 third-party placements (PR, podcasts, partner blogs).
- Weeks 1–12: stand up a weekly AI-visibility dashboard with a named owner.
What changes after AEO + GEO
When the programme works, three things happen in parallel. Your brand starts appearing in AI answers for the buying-intent prompts that matter. Your sales team stops having to explain who you are on first contact. And — quietly, more slowly — your classical SEO traffic also climbs, because the same fundamentals that please LLMs please Google's ranking systems too.
Where to go from here
If you'd like an Orvanta strategist to run the audit live against your brand and three competitors, book a free 30-minute discovery call. We'll send the prompt set in advance so you can see exactly where you stand before we talk.
Written by
Orvanta Team

