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Search Everywhere Optimisation: The New Era of SEO

Author: Matteo Pellegrini

How to use this guide

Use this guide for whatever you need to learn, whether that is:

  • What search everywhere optimisation is
  • Whether traditional SEO is dead
  • Who should be doing it
  • How search everywhere optimisation works (and how to measure it)
  • And more

Learn the basics

Start with the basics of search everywhere optimisation:

What is search everywhere optimisation?

Search everywhere optimisation is the process of optimising a brand's visibility across search experiences, both traditional and generative, to build brand awareness, drive website traffic and nurture conversions.

Is search everywhere optimisation a passing fad?

It is fair to be sceptical: voice search optimisation was billed as the next big thing for years. The data, however, points in a different direction for search everywhere optimisation:

  • 1 in 10 US internet users now turn to generative AI first for an online search (Source)
  • ChatGPT has 800 million weekly active users (Source)
  • More than 400 million people use Meta AI every month (Source)
  • More than 10 million people use Perplexity AI every month (Source)
  • Organic search engines, from Google to DuckDuckGo, have seen traffic fall (Source)
  • ChatGPT is one of the 10 most visited websites in the world (Source)

Search behaviour is changing, and businesses that want to be found online will have to extend their optimisation work across platforms, from social networks and search engines to review sites.

Which search experiences does search everywhere optimisation cover?

Search everywhere optimisation spans several search experiences:

PlatformExamples
Search enginesGoogle
Bing
DuckDuckGo
Generative enginesChatGPT
Perplexity
Microsoft Copilot
SocialFacebook
YouTube
LinkedIn
Media networksMedia outlets
DirectoriesGoogle Business Profile
Bing Places
Apple Maps
Voice assistantsSiri
Alexa
Bixby

What are some examples of search everywhere optimisation?

Here are some examples of search everywhere optimisation that our team has worked on:

IndustryOptimisationResult
SaaS- Build mentions on third-party sites
- Target middle-of-funnel keywords
Citations in Perplexity, DuckDuckGo and Copilot
Professional services- Produce content optimised for both traditional and generative AI experiences
- Target conversational phrases across the whole funnel
Citations and mentions in AI Overviews, Perplexity, Copilot and others
Essential services- Improve existing SEO
- Target bottom-of-funnel conversational phrases
- Earn mentions on third-party sites
Mentions in Copilot and Perplexity

What is the difference between search everywhere optimisation and search engine optimisation?

The differences between search everywhere optimisation and search engine optimisation include:

AreaSearch everywhere optimisationSearch engine optimisation
Search experiences30+ different search experiences across social platforms, generative AI and moreFocus on search engines (mainly Google)
MetricsMentions
Citations
Positions
Referral traffic
Conversions
Rankings
Traffic
Conversions
TargetingConversational questionsShort-tail or long-tail phrases (keywords)

Despite these differences, the two approaches overlap on optimisation tactics. Both, for example, focus on producing unique, authoritative content.

Is SEO dead?

SEO is not dead.

Our hands-on experience with search everywhere optimisation has shown that traditional SEO is a core part of it. Sites that have done well with a consistent SEO strategy are more likely to appear in search results.

That is because traditional SEO already covers these elements:

  • Being reachable online
  • Producing useful, unique content
  • Building a trustworthy online reputation

SEO is not dead, but its lead is no longer unchallenged.

Across industries, businesses are seeing a drop in organic search traffic: Gartner predicts that sites will lose 25% of their organic traffic to AI platforms and experiences such as ChatGPT, Perplexity AI and Meta AI.

At the same time, businesses are seeing revenue go up, which suggests that user buying journeys now run across several platforms, from search engines to AI tools and social networks, and that marketers need to adapt their approach to SEO.

Who should practise search everywhere optimisation?

Everyone.

Search engines like Google are not going away, but they are adapting their search experiences. Google, for example, launched AI Overviews to show AI-generated summaries in search results (and has reported growing use of the feature).

example of a Google AI Overview for a query about rankings

Meta, for its part, launched Meta AI across its social networks, Facebook, Instagram and WhatsApp. It also partnered with Ray-Ban on smart glasses, and with that launch beat its internal sales and revenue targets.

Meta AI search asking for sustainable fashion influencer recommendations

Bear in mind that search everywhere optimisation takes more time, skills and resources than traditional SEO. For small businesses that is a big step up, so it can make more sense to start with core SEO and add search everywhere optimisation later.

Getting started

Here is how to start putting search everywhere optimisation into practice:

What are the challenges of search everywhere optimisation?

Before you set goals, plan optimisations and measure progress, understand that search everywhere optimisation is not perfect. Several things will make the work harder, including:

Reporting

Reporting is one of the biggest challenges. Without data, it is hard to prove the value of this work to senior management, which can affect the budget and resources you get.

In most cases, businesses have to pull the numbers manually.

We have seen companies track mentions in generative AI experiences in Excel or Google Sheets, for example. It is slow and takes up time the team could spend elsewhere.

What are the alternatives? Very few, unfortunately.

One option is to use an AI SEO service. That way you can identify, track and optimise specific phrases for different search experiences, such as:

  • Google AI Overviews
  • ChatGPT
  • Microsoft Copilot
  • Perplexity
  • Apple Intelligence
  • Meta AI
  • And more

With data collection handled (plus competitor tracking), businesses can spend more time on optimisation and analysis and less on gathering and managing data.

Budget

Asking leadership for budget and resources for SEO, and for search everywhere optimisation on top, is not easy, especially as search everywhere optimisation is still new.

The data does show that search is changing, though:

  • 73% of consumers use several channels when shopping (Source)
  • 67% of users use social media to discover new brands (Source)
  • 58% of consumers have replaced traditional search engines with AI platforms (Source)
  • 35% of Amazon purchases come from AI-driven product recommendations (Source)

One way to pitch search everywhere optimisation is the 70-20-10 rule:

  • 70: 70% of resources go to what works well now.
  • 20: 20% of resources go to what is emerging and expected to work well.
  • 10: 10% of resources go to what is new and experimental.

You could propose putting 20% (or 10%, depending on your audience) of resources into search everywhere optimisation. The strategy is new, but there is hard data showing its value.

Resources

Resources are another sticking point, and can include:

  • Time
  • Talent
  • Tools
  • Budget

Some of these are easier to solve than others (hiring a marketing agency, say, rather than asking for a bigger budget), but it is worth taking the time to look into each problem and the realistic options for solving it.

For example, is it worth cutting investment in a weaker strategy to fund search everywhere optimisation? Or could you spend a few hours less each week on specific tasks to make room for it?

Do your research and weigh up the pros and cons of each option.

How does search everywhere optimisation work?

How it works depends on several factors:

  • Search experience, such as AI Overviews vs ChatGPT
  • Targeted search, such as an informational or transactional query
  • Search platform, such as social media vs search engines

For example, if you are going after a more transactional question such as "what are some affordable car insurance companies", your optimisations might focus more on getting mentioned by third-party sites.

search everywhere optimisation: Perplexity answer to a query about affordable car insurance companies

By contrast, optimising for an informational question such as "how to choose car insurance cover" might focus more on producing or improving content on your own website about the topic.

search everywhere optimisation: Perplexity answer to a query about choosing car insurance

You will find specific optimisations in the step-by-step section below.

How much does search everywhere optimisation cost?

Pricing for search everywhere optimisation is not as established as it is for traditional SEO, where monthly retainers are well understood (see how much SEO costs). In Italy, where we work, SEO typically costs €1,500 to €5,000 a month, and providers of search everywhere optimisation usually ask a few thousand euros a month.

If you are considering these services, ask up front about experience, case studies and reviews. It also helps to ask for a list of deliverables, so you know what you will get and what it will cost.

How to get started with search everywhere optimisation

Get started in three stages:

How to build a strategy

Building a search everywhere strategy is similar to other digital marketing initiatives, such as search engine optimisation (SEO), email marketing or social media marketing. Work with stakeholders to agree:

  • How much budget, time and resources are available
  • Which metrics will measure performance (and success)
  • When to review performance and reassess investment
  • Which activities and tools to prioritise and use

In our experience, the most common mistake businesses make when planning search everywhere optimisation is expecting too much, too soon. Like search engine optimisation, it takes time.

It is also a strategy built around touchpoints across the whole user journey, unlike paid campaigns, which focus on users who are nearly or fully ready to buy.

Here is an example strategy:

  • How much budget, time and resources are available
    • Budget: 10% of the budget
    • Time: 4 hours a week
    • Resources: existing tech stack
  • Which metrics will measure performance (and success)
    • Citations and/or mentions for these phrases: X, Y and Z
  • When to review performance and reassess investment
    • Performance: 3 months
    • Investment: 8 months
  • Which activities and tools to prioritise and use
    • Activities: targeted research, content creation
    • Tools: existing tech stack, including Microsoft Excel for performance tracking.

Work with your team to build a strategy for your organisation, and stay flexible. Strategies can change based on what works (and what does not), so do not feel bound to the original plan if it is not working.

You can also try using AI in digital marketing to get more out of your marketing work.

How to optimise visibility

The most effective optimisations for improving visibility across search experiences are:

OptimisationTactics
Produce compelling contentBrainstorm content ideas with customer-facing team members
Cover topics in full, for example with guides
Share your first-hand experience
Back up information with data
Write simply (for example, for a reading age of around 12)
Give specific details, such as "apply ice for 10-15 minutes"
Structure content with headings, tables, lists and short paragraphs
Include trust signals such as certifications, partnerships and reviews
Use images, video and GIFs to add value to the content
Build a trustworthy brand onlineCreate profiles on local directories such as Bing Places and Google Business Profile
Ask customers for online reviews, for example through an email campaign or cards in your shops
Produce thought leadership content such as studies, reports or opinion pieces
Build interactive tools, such as a calculator or a document generator
Practise search engine optimisationAllow crawlers (including those of AI platforms) to crawl and index your website
Build a logical site architecture
Use keyword research tools to create content for search engines
Enhance content with schema markup
Improve page speed, for example with compressed image formats and lighter code.

Read more: How to rank in answer engines

How to measure success

When it comes to measuring success, there are two things to decide:

  1. Which metrics to measure
  2. How to measure them.

The most common metrics for search everywhere optimisation include:

MetricMeaningHow to measure
CitationsA search experience links to a websiteManual searches
Visilay's AI SEO service
MentionsA brand is mentioned in a search experienceManual searches
Visilay's AI SEO service
PositionWhere a brand appears in a search experience's answer (first, second, etc.)Manual searches
Visilay's AI SEO service
Referral trafficTraffic sent to a site from another site, such as chatgpt.comGoogle Analytics 4
A separate analytics platform
ConversionsConversions generated, directly or indirectly, by a search experienceAn analytics platform
A marketing automation suite, as used by lead generation businesses

Some traffic options depend on a company's tech stack, but most businesses use Google Analytics 4. If yours does, set up a new custom channel group to split referral traffic into two groups:

  1. Traditional referral traffic, such as traffic earned through traditional SEO backlinks.
  2. "Search everywhere" traffic, for example from ChatGPT, Perplexity and Copilot.

This makes measuring search everywhere traffic simpler and faster.

To start your new SEO approach, work through the three steps: strategy, optimisation and measurement.

Get found everywhere in the new era of SEO

You now have the basics of the new era of SEO. The next step is to get found across search experiences, from Google to Meta AI and ChatGPT, by putting search everywhere optimisation into practice.

If you want a tailored service to help you build a multi-channel optimisation strategy, get in touch.

Matteo Pellegrini

Matteo Pellegrini

I’m a Business Developer, and at Visilay I focus on developing data-driven SEO, Google Ads, and CRO strategies. I love historical museums, have been practicing Karate for as long as I can remember, and on weekends I enjoy exploring Italian villages in search of authentic local food.