HEO methodology · Topic

HEO vs GEO vs AEO — disambiguating the three search optimisation acronyms

Quick answer

HEO is the umbrella term covering SEO + GEO + AEO as one integrated workflow. GEO (Generative Engine Optimization) targets generative AI engines (ChatGPT, Gemini, Perplexity, Claude) specifically. AEO (Answer Engine Optimization) targets answer surfaces (featured snippets, People Also Ask, voice queries, AI Overviews). HEO integrates all three with traditional SEO; you typically pick HEO unless you have very specific single-track needs.

Target query:“HEO vs GEO vs AEO”

The proliferation of search optimisation acronyms — SEO, GEO, AEO, HEO, AI Search Optimization — confuses buyers and creates an opening for less honest agencies to sell three separate retainers where one would do the same work. This page disambiguates the four terms, explains the work overlap, and explains why most senior practitioners scope all three under HEO rather than running them separately. The short version: GEO and AEO are subsets of HEO; standalone GEO or AEO retainers exist but typically under-deliver because the underlying work overlaps materially with SEO and with each other.

GEO — Generative Engine Optimization

GEO emerged as a recognised practice around 2023 (Princeton paper by Aggarwal et al.) and refers specifically to optimising for generative AI engines — ChatGPT, Gemini, Perplexity, Claude. The defining characteristic: these engines synthesise answers from multiple retrieved sources rather than returning a ranked list of links. GEO work targets the synthesis pipeline. Structured data (FAQPage, Organization with knowsAbout, HowTo, DefinedTerm) signals what each page is definitively about. /llms.txt declares brand identity for AI crawlers. Citation-bait content (original statistics, comparison matrices, glossary entries, frameworks) gives AI engines extractable surface they can quote verbatim with attribution. Brand-entity signals (Wikidata QID, Wikipedia stubs, schema.org sameAs to social profiles, third-party directory listings) help AI engines disambiguate brands in their knowledge graphs. Topical authority depth (clusters of pages on one topic with dense internal linking) signals expertise that AI engines weight heavily. The work overlaps materially with SEO (schema, content quality, internal linking benefit both) but adds ~70% unique work that SEO retainers don't include.

AEO — Answer Engine Optimization

AEO became a recognised practice around 2018-2019 as voice assistants and featured snippets became material traffic drivers. AEO targets answer surfaces — featured snippets at position 0 in Google results, AI Overviews at the top of SERPs (2024+), People Also Ask accordions, knowledge panels, and voice query responses on Google Assistant + Siri + Alexa. The defining characteristic: zero-click resolution where the user gets the answer without clicking through. AEO work formats content for extraction. Question-first headings (H2 phrased as actual user queries). Definition paragraphs (40-60 word answers immediately after question headings). FAQPage schema (marks Q&A pairs as structured data, eligible for FAQ rich results in Google + AI engine extraction). Speakable schema (declares which sections are voice-friendly via SpeakableSpecification). Conversational content patterns (matching natural language voice queries which differ from typed queries). Short-form answer blocks embedded in long-form content (the page satisfies both quick-answer and deep-research queries simultaneously). AEO overlaps with GEO at the structured Q&A level — both want extractable FAQPage content — and with SEO at the technical schema deployment level.

How HEO integrates all three

HEO (Hybrid Engine Optimization, coined by Adsomia in 2024) runs SEO, GEO, and AEO as one integrated workflow rather than three separate retainers. The integration is structural, not just commercial — the underlying work overlaps significantly. One schema deployment (FAQPage + Organization + LocalBusiness + Service) feeds Google rich results, AI engine citation, and voice answer eligibility simultaneously. One /llms.txt file declares brand identity for all AI crawlers across GEO and AEO surfaces. One FAQPage block powers Google FAQ accordion display + ChatGPT extraction + voice answers. One internal linking architecture compounds topical authority across Google rankings and AI engine citations. Running SEO + GEO + AEO as three separate retainers typically produces inferior results because the engines reward consistency across all three — when your Google ranking page has different schema than your AI-engine-targeted page than your voice-answer page, the signals to engines get diluted. The 32-factor HEO framework explicitly maps each factor to one or more of SEO + GEO + AEO; the methodology is the integration pattern.

When standalone GEO or AEO makes sense

Two narrow cases. (1) Mature SEO programmes that want to add AI engine visibility without rebuilding the SEO foundation — a standalone GEO retainer (₹49-65K/month) layered on top of existing SEO work can deliver AI engine citation lift in 90-120 days. (2) Voice-search-dominant categories (in-car navigation queries, hands-busy queries) where AEO is the primary value driver and broader HEO scope is overkill. For most Kerala SMBs and India businesses, neither narrow case applies — running HEO from the start is more efficient than starting with SEO, adding GEO 12 months later, and adding AEO 24 months later. The bundled HEO retainer (₹98K/month founding offer) is roughly the cost of running SEO + GEO standalone, with the AEO work included.

Key takeaways

In short.

HEO is the umbrella; GEO and AEO are subsets covering specific surfaces.
GEO targets generative AI engines (ChatGPT, Gemini, Perplexity, Claude) and their answer synthesis.
AEO targets answer surfaces (featured snippets, voice, AI Overviews, PAA).
Running GEO + AEO + SEO as separate retainers typically costs ₹1.5-2L/month and produces inferior results vs bundled HEO at ₹98K/month.
Standalone GEO or AEO makes sense only for narrow mature-SEO or voice-dominant categories.

Common questions

FAQs.

Did Adsomia invent GEO and AEO too?

No. GEO emerged from Princeton research in 2023; AEO emerged from industry practitioners around 2018-2019. Adsomia coined HEO in 2024 as the integrated methodology that includes SEO + GEO + AEO under one workflow. The component terms are industry-standard.

Why coin a new term HEO when GEO + AEO existed?

Because no existing term captured the integration pattern. SEO + GEO + AEO as separate retainers produced inferior results compared to running them under one methodology with shared infrastructure. HEO names the integration; the practice it describes is real even if you call it something else.

Are GEO and AI Search Optimization the same?

Closely related. GEO specifically targets the synthesised-answer surface in AI engines. AI Search Optimization is sometimes used as a broader umbrella including GEO + general AI engine visibility + AI Overview optimisation. Both fit inside HEO.

Which of the three surfaces matters most in 2026?

Depends on category. Transactional consumer queries: still mostly Google SEO (~70% of value). High-consideration B2B: GEO heavily (~50% of value because AI engines drive consideration). Local services: SEO + AEO + Local SEO combined. The HEO framework's 32-factor audit returns per-surface scoring so you can prioritise work where your category has the largest gap.

Do I need three separate agencies for SEO + GEO + AEO?

No — and most senior practitioners would actively discourage that. The work overlaps significantly and the engines reward consistency. One agency running HEO produces better results at lower total cost than three agencies running SEO + GEO + AEO separately.

What's the relationship between HEO and content marketing?

Content marketing is one of the four work streams inside HEO (alongside technical, off-site, and AI/GEO factors). Standalone content marketing without the schema + structural + AI engine work produces inferior results in 2026 because content quality alone no longer wins category authority.

Want HEO shipped on your site?

The HEO Audit & Roadmap (₹1.25L founding) gives you a written 32-factor audit, a 60-min walkthrough, and a 90-day execution roadmap. Or the Be Found Sprint (₹98K/mo founding) ships the full HEO programme on your site.

See the HEO Audit Or the Be Found Sprint