Search Everywhere Optimisation

Search Everywhere Optimisation is the practice of building consistent brand visibility across all the surfaces your audience uses to find information, not just Google, but AI assistants, YouTube, Reddit, LinkedIn, industry communities, and podcasts. It is the strategic response to a world where discovery no longer happens in one place.

Here is a truth most marketers have been slow to accept: search did not get more competitive. It got more human.

I ran a search presence audit for a Vodafone marketing team that illustrated this precisely. On Google, their visibility was strong. On YouTube, where their audience was actively researching tariff comparisons, a handful of independent creators dominated. On Reddit, the conversations their customers were having before making decisions were happening without any brand presence at all. The SEO was working. The discovery strategy had not caught up with where their audience actually was.


What is Search Everywhere Optimisation?

Search Everywhere Optimisation is the strategic framework for building brand visibility across the full range of platforms your audience uses to discover, research, and evaluate options. It recognises that in 2026, a user’s journey from unaware to converted touched multiple surfaces, and that brands only present on one of them are losing influence at every other touchpoint.

The brands winning in search today are not the ones that have “cracked the Google algorithm.” They are the ones that show up consistently wherever their audience looks for answers.

Why is search everywhere now?

People do not search for things in one place anymore. They search where the most useful answers live:

  • YouTube for how-to guides and demonstrations
  • Reddit for honest peer recommendations and real experience
  • LinkedIn for professional insight and industry commentary
  • AI assistants for synthesis and comparison
  • Podcasts for in-depth expert perspective
  • Industry communities for niche, trusted guidance

Each of these is a search surface. Each requires a different approach. And critically, each feeds into the signals that AI systems use to determine which brands to cite.

What is the connection to AI retrieval?

AI systems do not learn from your website alone. They learn from the entire web, including every community discussion, podcast transcript, LinkedIn article, and Reddit thread that mentions your brand. A brand present and authoritative across multiple platforms provides far richer entity signals than one that exists primarily on its own domain.

Search Everywhere Optimisation is not just a discovery strategy. It is an AI visibility strategy. Every surface you appear on consistently and credibly is another node in the Authority Graph that AI systems draw on. This is the practical implementation of the Citation Economy.

How do you build a Search Everywhere strategy?

Start with your audience’s actual discovery journey. Map where they look for answers in your category, not where you assume they look, but where they actually go. Talk to customers. Read Reddit threads. Watch YouTube comments. The platforms vary by industry and audience profile.

Build presence on the highest-priority platforms first. For most B2B brands, that means LinkedIn (professional reputation), YouTube (educational content), and relevant industry communities (authentic expert presence). These three surfaces together generate significant AI entity signals.

Maintain consistency across all surfaces. The same entity definition. The same topic associations. The same brand voice. AI systems learn your brand identity from patterns, inconsistency across platforms weakens the signal.

The Recognition Layer covers the AI-specific side of cross-platform presence. The Citation Economy explains why those platform mentions now matter more than links. Full framework: Search Visibility Framework.

The free Search Visibility Snapshot includes a review of your discovery platform presence, not just Google, but the full range of surfaces your audience uses.


Frequently Asked Questions

What is Search Everywhere Optimisation?

Search Everywhere Optimisation is the practice of building consistent brand visibility across all the platforms your audience uses to find and evaluate information, Google, AI assistants, YouTube, Reddit, LinkedIn, industry communities, and podcasts. It is the strategic response to a world where discovery no longer happens in one place.

Why is Google no longer enough?

Google remains the largest single discovery surface, but a growing share of the decision journey happens elsewhere. Users research on YouTube, validate on Reddit, seek expert perspective on podcasts, and ask AI assistants for synthesis. A brand only present on Google is invisible to significant portions of the journey that precede the final search.

How does Search Everywhere Optimisation connect to AI visibility?

AI systems learn what to recommend from the entire web, including every platform your brand appears on. Consistent, credible presence across multiple surfaces generates the distributed entity signals AI systems use to determine which brands to cite. A Search Everywhere strategy is simultaneously an AI visibility strategy.

Which platforms should I prioritise?

For most B2B brands: LinkedIn (professional authority and thought leadership), YouTube (educational content that AI frequently cites), and relevant industry communities such as Reddit or sector-specific forums (authentic expert presence). Beyond these, the priority depends on where your specific audience actually looks for answers in your category.

How do I maintain consistent messaging across all platforms?

Start with a clear entity definition, a single description of who you are, what you do, and what topics you are associated with. Use this consistently as the foundation for your About sections, bios, and positioning across every platform. The specific format and tone adapts by platform, but the core entity description should be the same everywhere AI systems might find it.

Scroll to Top

Frequently Asked Questions

Common questions about AI search, AEO, and how Sticky Frog helps B2B businesses get cited by AI engines.

What is AEO (Answer Engine Optimisation)?

AEO stands for Answer Engine Optimisation. It is the practice of structuring your website content, entity data, and online presence so that AI search engines like ChatGPT, Perplexity, and Google AI Overviews cite your business in their generated answers. Unlike traditional SEO, which targets click-through traffic, AEO targets citation: being the source an AI engine recommends when someone asks a relevant question.

Why does AI search visibility matter for B2B businesses?

B2B buyers increasingly use AI tools like ChatGPT and Perplexity to generate vendor shortlists before making contact. If your business is not cited by these AI engines, you are invisible to these buyers at the most critical point in their decision-making process. AI shortlisting makes AI search visibility a strategic priority for any B2B business.

What is the difference between SEO, AEO, and GEO?

SEO focuses on ranking in traditional Google search results. AEO (Answer Engine Optimisation) focuses on being cited in AI-generated answers on ChatGPT and Perplexity. GEO (Generative Engine Optimisation) focuses on appearing in outputs of generative AI tools. Sticky Frog specialises in AEO for B2B businesses and professional services.

What is an llms.txt file and does my website need one?

An llms.txt file is a plain-text file at the root of your domain that tells AI language model crawlers what content to index, trust, and cite. It is the AI equivalent of robots.txt. Most business websites do not yet have one, making it a meaningful competitive advantage in AI search visibility.

How long does it take to see results from AEO?

AI search visibility improvements can begin within 4 to 8 weeks for technical fixes like schema markup and llms.txt. Content-driven citation builds over 3 to 6 months. The AI Visibility Accelerator is a minimum 6-month engagement delivering results across ChatGPT, Perplexity, Google AI Overviews, YouTube, and Reddit.