What is Hybrid Engine Optimisation (HEO) and Why SEO Has Changed in 2026

For nearly two decades, ranking on Google was the holy grail. You picked keywords, built backlinks, optimised meta tags, and waited for traffic to roll in. That playbook still has value, but it is not enough anymore.

The numbers prove it. According to a Seer Interactive study published in Search Engine Land, organic CTR for queries with AI Overviews dropped 61%, falling from 1.76% to 0.61% between June 2024 and September 2025. Even queries without AI Overviews saw a 41% CTR decline in the same window.

Ranking #1 simply does not deliver the same traffic it used to.

People no longer type three-word queries. They ask full questions and expect direct answers. ChatGPT now has 900 million weekly active users as of February 2026, more than double the 400 million it had in February 2025. Perplexity processes around 780 million queries per month and reached a $20 billion valuation in 2025.

Your audience is not just searching on Google anymore. They are asking AI tools.

By the end of this article, you will know what Hybrid Engine Optimisation is, where it came from, why it matters, and exactly how to apply it to your website. No fluff, just a practical framework you can start using this week.

What is Hybrid Engine Optimisation (HEO)?

Hybrid Engine Optimisation (HEO) is the practice of optimising your website so it ranks well on traditional search engines like Google and Bing, while also getting cited and recommended by AI-powered answer engines like ChatGPT, Perplexity, Gemini, and Google AI Overview.

In short, HEO is SEO built for both humans and AI systems at the same time.

How HEO blends SEO, AEO, and GEO together

HEO is not a brand-new concept invented from scratch. It pulls together three existing approaches:

• SEO focuses on ranking pages on search engine result pages (SERPs).
• AEO (Answer Engine Optimisation) focuses on getting picked as the direct answer in featured snippets and voice search.
• GEO (Generative Engine Optimisation) focuses on getting cited by generative AI tools.

HEO ties all three into a single workflow so you do not have to run three separate strategies.

Where Did HEO Come From? A Short History

To really understand HEO, you need to see how we got here. Each of the four optimisation approaches we use today was born out of a major shift in how people search.

The origin of SEO (mid-1990s)

The term “Search Engine Optimization” started showing up in the mid-1990s as early search engines like Yahoo, AltaVista, Lycos, and later Google began indexing the web. The first known printed reference to SEO appeared in 1997. For the next two decades, SEO was the only game in town. Marketers focused on keywords, backlinks, page titles, and technical hygiene to rank in ten blue links.

The rise of AEO (2017 onwards)

Around 2017, Google’s featured snippets, “People Also Ask” boxes, and voice assistants like Alexa and Google Home changed the game. Suddenly, ranking #1 was not enough. You also had to be the chosen answer. SEO professionals started using the term Answer Engine Optimisation (AEO) to describe content built specifically to win these short, direct answer slots.

The birth of GEO (November 2023)

This is where things get interesting. The term Generative Engine Optimisation was formally introduced in a research paper published in November 2023 on arXiv titled “GEO: Generative Engine Optimization.”

The paper was authored by Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, and Ameet Deshpande, with researchers from Princeton University, Georgia Tech, The Allen Institute for AI, and IIT Delhi.

The team built a benchmark called GEO-bench using 10,000 diverse queries and tested nine optimisation strategies. Their finding was eye-opening: properly optimised content saw visibility improvements of up to 40% in AI-generated responses, and lower-ranked pages benefited the most. A page sitting at position 5 in traditional search saw a 115% visibility jump in AI answers when proper citations were added.

This paper gave the SEO industry the first academic foundation for optimising content for AI search.

How HEO was coined (April–May 2025)

The term Hybrid Engine Optimisation was coined by Jori Ford, Chief Marketing and Product Officer at FoodBoss, during her talk at SEO Week 2025 in New York City. The conference was hosted by Mike King’s agency iPullRank from April 28 to May 1, 2025.

Her talk was titled “Hybrid Engine Optimization: A Crawler Driven Approach to Maximizing Search & AI Visibility.” In a follow-up interview published by iPullRank, Ford explained that she deliberately picked “hybrid” instead of just adding another acronym, because she felt SEO professionals were getting overwhelmed with new terms like AIO, LLMO, and GEO.

In her own words: "Hybrid just means it doesn't have to be that hard. We can figure out how to create balance." — Jori Ford, SEO Week 2025

Why the HEO framework caught on quickly

Ford’s framework hit a nerve in the SEO community for three reasons:

1. It reframed the goal. Instead of chasing rankings, HEO focuses on presence — being part of the answer wherever your audience is searching, whether that is Google, ChatGPT, Perplexity, or Gemini.
2. It made crawl logs the source of truth. Ford pushed SEO professionals to study their server logs to see exactly which AI bots (GPTBot, ClaudeBot, PerplexityBot, etc.) were visiting their sites and how often.
3. It united fragmented tactics. Instead of running separate SEO, AEO, and GEO playbooks, HEO bundled them into one approach.

Within months of SEO Week 2025, the term started appearing in industry blogs, podcasts, and consultant decks. By early 2026, HEO was widely treated as the working framework for the AI search era.

Why marketers are calling it the new SEO

SEO has not died. It has expanded. HEO is just SEO with new layers added on top to handle how people actually search in 2026.

Why Has SEO Changed So Drastically?

The rise of Google AI Overview and SGE: Google AI Overview now appears at the top of millions of search results. According to Semrush data analysed by Neotype, the share of queries triggering AI Overviews jumped from 6.49% in January 2025 to 13.14% in March 2025, a 102% increase in just two months. Even if you rank #1, your link sits below an AI-generated answer that already gave the user what they wanted.

ChatGPT, Perplexity, and Gemini as search tools: Hundreds of millions of people now ask ChatGPT and Perplexity questions they used to ask Google. According to Sociallyin’s ChatGPT statistics report, ChatGPT processes over 2 billion prompts daily and is now one of the world’s top six most-visited websites.

If your site is not mentioned in these answers, you do not exist in that conversation.

Zero-click searches are eating organic traffic: This is where it really hurts. According to SparkToro’s 2024 Zero-Click Study by Rand Fishkin, for every 1,000 Google searches in the US, only 360 clicks go to the open web. In the EU, that figure is 374. The rest end without anyone visiting a website.

By mid-2025, zero-click searches reached around 65% globally, with mobile users 66% more likely to leave a search without clicking than desktop users.

Drop in CTR even for top-ranking pages: Independent studies confirm what SEO professionals are seeing in their dashboards. Ahrefs analysed 300,000 keywords and found that AI Overviews now reduce position-1 organic CTR by 58%. Authoritas reported a 79% CTR drop for top-ranking pages when AI Overviews appear. DMG Media (parent of the Daily Mail) shared internal data showing CTR fell from 25.2% to 2.8% on AI Overview queries, an 89% decrease.

How user trust signals are being redefined: Trust used to be measured by domain authority and backlinks. Now AI engines also weigh brand mentions, expert authorship, original research, and consistency of information across the web. Google’s own Search Quality Rater Guidelines put heavy weight on E-E-A-T signals, and AI engines follow the same logic.

SEO vs AEO vs GEO vs HEO – The Real Differences

Here is a quick comparison to clear the confusion:

Approach	Year Term Emerged	Focus	Optimises For	Goal
SEO	mid-1990s	Search Engines	Google, Bing	Rank on SERPs
AEO	~2017	Answer Engines	Featured snippets, voice search	Be the direct answer
GEO	November 2023	Generative AI	ChatGPT, Perplexity, Gemini	Get cited by LLMs
HEO	April–May 2025	All of the above	Search + AI engines	Visibility everywhere

What is Search Engine Optimisation (SEO)?

SEO is the original practice of making websites rank higher on traditional search engines through technical fixes, content quality, and authority signals.

What is Answer Engine Optimisation (AEO)?

AEO is about structuring your content so it gets pulled into featured snippets, “People Also Ask” boxes, and voice assistant responses. Short, direct answers win here.

What is Generative Engine Optimisation (GEO)?

GEO focuses on getting your website used as a source by ChatGPT, Claude, Perplexity, and similar tools. Original data, clear formatting, and brand authority matter most.

How HEO unites all three under one roof

Instead of treating SEO, AEO, and GEO as separate projects, HEO gives you one strategy that covers all three. You write one piece of content, structure it correctly, and it works across Google, voice search, and AI tools.

7 Core Pillars of Hybrid Engine Optimisation

Pillar 1 – Technical SEO foundation

Without clean crawling, fast loading, proper indexing, and a logical site structure, nothing else works. Both Googlebot and AI crawlers like GPTBot and ClaudeBot need to read your site easily. Start with Google Search Console to find crawl errors.

Pillar 2 – Topical authority and content depth

Covering one topic in shallow blog posts no longer cuts it. Build content clusters that answer every related question a user might have.

Pillar 3 – Entity-based optimisation

AI engines work on entities (people, places, brands, products), not just keywords. Make sure your brand, your authors, and your services are clearly defined as entities on your site. Tools like Google’s Knowledge Graph and Wikidata help establish your entity presence.

Pillar 4 – Schema and structured data signals

Schema markup helps both Google and AI tools understand your content. Article, FAQ, Product, Person, and Organisation schema are non-negotiable in 2026. Use Schema.org as your reference.

Pillar 5 – Brand mentions and citations

AI tools track how often your brand is mentioned across the web, even without links. According to Seer Interactive’s research, brands cited in AI Overviews earn 35% more organic clicks and 91% more paid clicks compared to brands that are not cited.

Pillar 6 – Conversational content formatting

Write the way people actually ask questions. Use natural language, clear subheadings shaped as questions, and short paragraphs that can be quoted directly.

Pillar 7 – Crawl log analysis (Ford’s contribution)

This is the pillar Jori Ford pushed hardest at SEO Week 2025. Crawl logs are the only place that shows you the truth about which bots are actually visiting your site, how often, and which pages they care about. Tools like Screaming Frog Log File Analyser, Botify, or even simple server log parsing can show you GPTBot, ClaudeBot, PerplexityBot, and Google’s regular crawlers in action.

How AI Search Engines Actually Pick Sources?

How Google AI Overview selects content?

Google AI Overview pulls from pages that already rank well, have strong topical authority, and contain clearly structured answers. According to BrightEdge research, longer conversational queries with 8 or more words trigger AI Overviews far more often than short queries. If you are not in the top 10 organic results, your chances of appearing in AI Overview drop sharply.

How ChatGPT and Perplexity cite websites?

These tools rely on a mix of training data and real-time web search. Perplexity cites sources directly in its answers. ChatGPT, when using web search through OAI-SearchBot, picks sources based on relevance, recency, and authority.

Role of E-E-A-T in AI-driven results

Experience, Expertise, Authoritativeness, and Trust matter more than ever. AI engines look for content written by real people with real credentials. Author bios, original insights, and verifiable expertise win.

Why brand authority matters more than backlinks?

A July 2025 Pew Research study analysed actual browsing data from 900 US adults and found only 8% of users clicked a traditional result when an AI summary appeared, compared to 15% without one. AI search visitors, however, convert 23x better than traditional organic traffic according to Onely’s analysis. Quality is replacing quantity.

How to Implement HEO on Your Website Step-by-Step

Step 1 – Audit your current SEO foundation

Start with a full website audit. Check crawling, indexing, page speed, mobile usability, internal linking, and on-page SEO. If your basics are broken, HEO will not work. Tools like Screaming Frog, Ahrefs, and Semrush can speed this up.

Step 2 – Map intent for both humans and AI

For each target keyword, ask: what would a human want to read, and what would an AI want to summarise? Cover both with clear headings, short answers, and detailed follow-ups.

Step 3 – Restructure content for snippets

Add a one-paragraph direct answer right below each H2. Keep it under 60 words. This is the chunk AI engines and featured snippets love to pull.

Step 4 – Add FAQs, definitions, and lists

Structured content gets cited more often. Include FAQ sections, clear definitions of terms, and numbered or bulleted lists wherever they help the reader.

Step 5 – Build entity associations on your site

Link your About page, author pages, services, and brand mentions consistently. Use Person schema for authors and Organisation schema for your business. Validate everything with Google’s Rich Results Test.

Step 6 – Strengthen off-page brand signals

Get mentioned on industry blogs, podcasts, YouTube channels, Reddit, Quora, and LinkedIn. AI tools learn about your brand from these sources, not just your website.

Step 7 – Track AI visibility, not just rankings

Use tools like Profound, Otterly.AI, or AthenaHQ to track if your brand appears in ChatGPT, Perplexity, and Gemini answers. Manual checks every week also work fine.

Content Writing Rules for Hybrid Engine Optimisation

Write short, quotable answer paragraphs

Every section should have at least one paragraph that fully answers a question in 2 to 4 sentences. AI tools love clean, self-contained answers.

Use clear question-based subheadings

Subheadings written as questions match how users search and how AI engines parse content. “How does HEO work?” performs better than “HEO Working Process.”

Add original data, quotes, and examples

AI engines reward unique content. Share your own case studies, client results, screenshots, and survey data. Recycled content rarely gets cited.

What Technical Setup Required for HEO Success?

Schema types every HEO page should include

At a minimum, add Article, FAQPage, BreadcrumbList, Organisation, and Person schema. For service pages, add Service schema. For products, use Product and Review schema. Reference Google’s Structured Data documentation for the latest specs.

Internal linking for topical clusters

Build pillar pages and link related blog posts to them. This signals topical authority to both Google and AI tools.

Page speed and Core Web Vitals still matter

Slow pages get crawled less often and rank lower. Aim for LCP under 2.5 seconds, INP under 200ms, and CLS under 0.1. Test your pages using PageSpeed Insights.

llms.txt file – the new robots.txt for AI

The llms.txt standard is a proposed format that helps large language models understand your site’s structure and key content. While adoption is still growing, adding one early gives you a head start. Place it at yourdomain.com/llms.txt with a clear summary of your site and important pages.

How to Measure HEO Performance?

Tools to track AI Overview appearances

Tools like Semrush, Ahrefs, Profound, and SE Ranking now show whether your pages appear in Google AI Overview. Set up tracking for your top 50 keywords first.

Monitoring brand mentions across LLMs

Use Perplexity, ChatGPT, and Gemini directly. Ask them questions related to your industry and check if your brand shows up. According to Profound’s June 2025 data, Bank of America held 32.2% visibility across AI platforms in banking queries, showing that brand-led optimisation works.

New KPIs that replace rankings and clicks

Old KPIs like position and CTR are no longer enough. Track these instead:

• AI Overview appearance rate
• Brand mentions in LLM responses
• Branded search volume growth
• Direct traffic from AI tools (visible in GA4 referrer data)
• Citations and links from authority sites

4 Common Mistakes to Avoid in Hybrid Engine Optimisation

1. Treating HEO as a replacement for SEO: HEO builds on SEO. If you stop doing technical audits, keyword research, and link building, your AI visibility will suffer too.
2. Stuffing AI keywords without context: Writing “ChatGPT, Perplexity, Gemini, AI Overview” repeatedly does not help. AI engines understand context, not keyword density.
3. Ignoring brand building outside your site: If your brand has zero presence on Reddit, LinkedIn, podcasts, and industry blogs, AI tools have nothing to learn from. On-site work alone is not enough.
4. Writing only for bots, not for humans: The biggest trap. If your content reads like it was made for crawlers, both humans and AI tools will skip it. Write for people first, structure for machines second.

The Future of HEO – What Comes Next After 2026

1. Why hybrid search will become the default: Within the next two years, almost every major search experience will be a mix of traditional results and AI-generated answers. According to Presence AI’s 2025 Year in Review, there were already 1.2 billion monthly AI search users globally and 2.5 billion daily AI interactions by the end of 2025.
2. How agentic AI will change content discovery: AI agents that browse, compare, and book on behalf of users are already being tested. Soon, your content will not just be read by humans. It will be parsed by AI agents making decisions for them.
3. Skills SEO professionals must build now: Learn prompt engineering, basic data analysis, schema markup, content strategy, and brand-building. The SEO professionals who adapt will lead the next decade.

Final Thoughts – Should You Start Doing HEO Today?

Every business that depends on organic traffic should start now. Service businesses, e-commerce stores, SaaS companies, and content publishers all have something to gain.

Quick HEO action plan to start this week

1. Run a full SEO audit of your site.
2. Pick your top 10 money pages and rewrite the intros as direct answers.
3. Add FAQ schema to those pages.
4. Update author bios with credentials and links.
5. Get one solid brand mention on a third-party site this month.
6. Check ChatGPT and Perplexity weekly for your brand and key topics.

If you do this consistently, you will start showing up where your audience actually searches.

Need help auditing your site or building a HEO strategy that fits your business? That is exactly the kind of work I do as an SEO Consultant.