When someone looks for a solution like yours, where do they go first?
Google is still there, of course. But it’s no longer the only place. Buyers also check LinkedIn, read niche platforms, and increasingly ask AI assistants for summaries, comparisons, and recommendations.
Now the more important question: are you present across all of these touchpoints, or are you relying on just one?
Many companies still treat search as a single channel. They invest in SEO, run a few campaigns in Google Ads, and expect consistent results. Then they notice something odd. Traffic looks decent, but pipeline does not reflect it.
The issue is not effort. It’s how that effort is distributed.
Search today is not one channel. It’s a system. And your strategy needs to reflect that reality.
Your buyers don’t follow a clean path
You may have a well-structured funnel in your internal documents. Awareness, consideration, decision. It looks logical.
Your buyers behave differently.
They move between:
- Google searches
- AI assistants
- LinkedIn profiles and conversations
- Industry websites
- Direct recommendations
Often within a very short time frame.
For example:
- They start with a broad search on Google
- Ask an AI tool for a shortlist
- Click on a paid ad a few days later
- Check your company on LinkedIn before responding to outreach
Most of these steps happen outside your visibility.
So if you only look at website analytics, you’re working with incomplete information.
A multi-channel search strategy addresses exactly this. It focuses on being present where decisions take shape, not just where clicks happen.
What a multi-channel search strategy actually includes
At its core, you are working across three areas:
- Organic search: Your website, content, and authority signals that determine how you appear in search results
- Paid search: Campaigns such as Google Ads that capture high intent demand
- AI and discovery platforms: Tools like ChatGPT, Perplexity, Gemini, as well as search behavior on platforms like LinkedIn
The challenge is not understanding each of these individually. The challenge is connecting them.
When these efforts are managed separately, gaps appear:
- You generate traffic that doesn’t convert
- You run ads without supporting content
- You create content that is not picked up in broader discovery channels
A strong strategy aligns all three into a coherent system.
Step 1: Start with demand, not channels
Before choosing tactics, focus on one thing: demand.
What problems are your potential customers trying to solve?
Not your product categories. Not your internal terminology. The actual questions and needs they have when they begin their search.
Many strategies start with keywords. A better approach starts with intent.
Ask yourself:
- When does someone realize they need a solution like yours?
- What do they search first?
- What do they compare next?
- What convinces them to move forward?
This gives you a much clearer structure:
- Early-stage research queries
- Mid-stage comparisons
- High-intent searches
- Validation and reassurance content
And importantly, not all of this demand appears in keyword tools. Some of it shows up in AI conversations or peer discussions.
If you rely only on traditional keyword data, you are seeing only part of the picture.
Step 2: Build content that works across multiple touchpoints
A common scenario looks like this.
You publish content for SEO. It ranks. It brings traffic.
But:
- it does not convert
- it cannot be reused in campaigns
- it is not referenced in AI-generated answers
So the result is activity without meaningful business impact.
Instead, treat content as a shared asset across channels.
A strong content structure typically includes:
- Core pages that clearly explain problems and solutions
- Supporting content that explores use cases and scenarios
- Shorter formats that can be adapted for paid campaigns
- Clear, direct answers that can be referenced in AI-generated outputs
When you review a piece of content, ask:
- Does it answer a real question?
- Can it support a sales conversation?
- Can it be reused in another channel?
- Is it clear without additional context?
If the answer is no, it may not be contributing to your overall strategy.
Step 3: Align SEO and Google Ads
In many organizations, SEO and paid search operate independently.
SEO focuses on long-term visibility. Paid campaigns focus on immediate results.
Both are necessary. But they should not operate in isolation.
A more coordinated approach looks like this:
- Use Google Ads to test demand and messaging
Identify which queries convert and which value propositions resonate - Feed those insights into SEO
Prioritize content that aligns with proven demand - Use SEO content to support paid campaigns
Ensure that landing pages reinforce your messaging and improve conversion rates
When these channels are aligned, they reinforce each other.
When they are not, you risk inconsistent messaging and inefficient spend.
Step 4: Treat AI as a real discovery channel
AI tools are increasingly part of the research process.
Buyers use them to:
- compare vendors
- understand options
- summarize complex topics
In many cases, they form an opinion before visiting a website.
This changes how visibility works.
To be included in these outputs, focus on:
- clear and structured explanations of your offering
- strong positioning within your category
- content that directly answers specific questions
- consistent presence across trusted sources
AI systems synthesize information rather than simply listing results.
That means clarity, consistency, and credibility are key.
Step 5: Connect search to revenue
It’s easy to measure traffic. It’s more valuable to measure impact.
A multi-channel search strategy should help you understand:
- which queries lead to qualified opportunities
- which channels influence decision-making
- where deals actually begin
This requires:
- proper tracking setup
- alignment between marketing and sales
- a focus on outcomes, not just activity
A page that generates fewer visits but leads to real opportunities is often more valuable than a high-traffic page with no business impact.
Where to begin
If this feels complex, that’s because it is a shift in how search is approached.
A practical starting point:
- assess your current visibility across organic, paid, and AI channels
- identify where you are missing from key queries or discussions
- align messaging across all touchpoints
- test and refine continuously
Search is no longer a static discipline. It evolves with how people look for information.
If your potential customers are already searching for solutions, demand already exists.
The real question is whether you are visible when it matters.
If you want to go deeper into how to build and apply this type of strategy, we cover this in detail in our Search Visibility Bootcamp, starting April 28. Over six weeks, you’ll work through how SEO, Google Ads, and AI-driven discovery connect, and how to apply this in your own context.
No unnecessary theory. Just practical frameworks and real-world application.
Because in the end, visibility is not about being present everywhere.
It’s about being present in the right places, at the right time, with the right message.
