How to Build a Full-Funnel Marketing Strategy (With Examples)

In this article, you’ll learn what full-funnel marketing is, why it matters more than ever now that buyers research through both Google and AI search engines, and how to build a full-funnel strategy from scratch in five steps. You’ll also get real examples of content at every funnel stage, a framework for choosing keywords and prompts to target, and a system for tracking performance across both traditional and AI-driven channels.

What Is Full-Funnel Marketing?

Full-funnel marketing means creating content that reaches potential customers at every stage of their buying journey — from the moment they first discover a problem, all the way through to the moment they choose a solution.

Most marketing funnels break down into three stages: top of funnel (TOFU), middle of funnel (MOFU), and bottom of funnel (BOFU). Each stage speaks to a different audience with a different level of awareness.

Let’s break each one down with examples.

Top of the Funnel (TOFU)

TOFU marketing targets people who may not know your brand, your product category, or even the problem you solve. This is the widest part of the funnel because you’re casting the broadest net.

For example, a project management tool might write a guide titled “How to Improve Team Productivity.” Someone searching for that on Google — or asking ChatGPT the same question — probably doesn’t know that project management software is the answer yet. They’re just trying to solve a problem.

TOFU content plants the seed. It introduces the problem and hints at the solution without being promotional.

Middle of the Funnel (MOFU)

MOFU marketing targets people who know they have a problem and are actively looking for solutions. The funnel narrows here because these readers are more informed and more deliberate in their research.

A good example: a guide titled “10 Best Project Management Tools for Remote Teams.” Someone searching for this already knows they need a tool. They’re evaluating options. This is where you demonstrate expertise and start building a case for your product.

Bottom of the Funnel (BOFU)

BOFU marketing targets people who are one decision away from buying. They know their problem, they know the solution category, and they’re comparing specific products.

Think of content like “Asana vs. Monday.com: Which Is Better for Your Team?” Someone searching this is ready to pull out a credit card. They just need help choosing.

Full-Funnel Content: Taking Someone Through the Entire Journey

It’s also possible to take someone through the entire funnel in a single piece of content. A well-structured guide titled “How to Manage Remote Teams” could start by educating readers about common challenges (TOFU), introduce project management software as a solution category (MOFU), and then explain why a specific tool is the best fit (BOFU) — all in one article.

Look for these opportunities. When you find them, you can maximize conversions with less content.

Why Full-Funnel Marketing Matters

Most companies default to BOFU content because it has the highest conversion rate. That makes sense on the surface. But it also means you’re only reaching people who already know what they want — and you’re competing with every other brand targeting those same ready-to-buy searchers.

BOFU-only strategies have three problems.

First, the audience is tiny. The number of people searching “best CRM software 2026” is a fraction of the people searching “how to manage customer relationships” or “how to improve sales follow-up.” If you only create BOFU content, you’re fishing in a very small pond.

Second, the competition is fierce. Every competitor in your space is targeting the same bottom-of-funnel keywords. Ranking for “best [product category]” queries takes significant domain authority and link-building effort.

Third, you miss the chance to shape buying criteria. When you educate someone at the top of the funnel, you get to frame the problem in a way that makes your product the natural solution. If you wait until BOFU, someone else has already done that framing for you.

A Nielsen meta-analysis of CPG campaigns found that full-funnel strategies deliver up to 45% higher ROI compared to single-stage campaigns. That’s a significant lift.

AI Search Adds a New Layer to This

Here’s what most full-funnel guides miss: buyers aren’t just searching on Google anymore. They’re asking ChatGPT, Perplexity, Google AI Mode, and Claude for recommendations at every stage of the funnel.

When someone asks ChatGPT “what’s the best way to improve my team’s productivity?” that’s a TOFU prompt. When they follow up with “what project management tools do remote teams use?” that’s MOFU. And when they ask “is Asana or Monday.com better for a 50-person team?” that’s BOFU.

The funnel still applies. But now it plays out across two channels: traditional search and AI search. If your content only shows up on Google but not in AI answers, you’re leaving an entire discovery channel uncovered.

This doesn’t mean SEO is dead — far from it. SEO is still the foundation of organic growth. But AI search is an additional organic channel that smart marketers are starting to optimize alongside Google. The brands that show up in both places will have a compounding advantage over those that only focus on one.

How to Build a Full-Funnel Marketing Strategy in 5 Steps

Here’s the process, step by step.

Step 1. Map Your Customer’s Journey

Before you create any content, you need to understand how your customers go from “I have a problem” to “I’m buying this product.” This is called the buyer’s journey, and it breaks down into three stages: awareness, consideration, and decision.

Here’s how to map it.

Start with your customer. Who are they? What role do they hold? What problems do they deal with day to day? If you sell SEO software, your customer might be a marketing manager at a mid-size company struggling to grow organic traffic. If you sell accounting software, it might be a small business owner drowning in spreadsheets.

Identify the trigger. What event makes them start looking for a solution? Maybe they got a new traffic goal from their VP. Maybe they lost a major keyword ranking. Maybe tax season is approaching and their current system is a mess.

Walk through their research process. After the trigger, what do they do? Most people start with a broad search — either on Google or by asking an AI assistant. They might type “how to grow website traffic” or ask ChatGPT “what are the best ways to increase organic traffic in 2026?” From there, they narrow down: they discover SEO as a strategy, learn about keyword research, compare tools, read reviews, and eventually make a purchase.

Here’s an example buyer’s journey for someone who might eventually buy an SEO tool:

Stage 1 — Awareness: Sarah, a marketing manager, notices her website traffic has plateaued. She searches “why is my website traffic not growing” on Google and asks Perplexity “how do companies increase organic traffic?” She reads a few blog posts and learns that SEO might be the answer.

Stage 2 — Consideration: Sarah starts researching SEO in more depth. She searches “how to do keyword research” and “best SEO strategies for 2026.” She watches a YouTube tutorial, reads a comparison of SEO approaches, and starts to understand that she needs a tool to do this properly.

Stage 3 — Decision: Sarah now knows she needs SEO software. She searches “best SEO tools,” reads comparison posts, checks out free trials, and asks ChatGPT “which SEO tool is best for a small marketing team?” She signs up for the tool that appeared most consistently in her research.

To map your own customer’s journey, ask yourself four questions:

1. Who is my customer, and what is their biggest problem?

2. What event triggers them to start looking for a solution?

3. What do they search for (on Google and on AI engines) at each stage?

4. What content can I create to show up during that research?

Write down the answers. They’ll form the backbone of your content plan.

How to Research the AI Side of the Buyer’s Journey

Mapping the Google side of the journey is straightforward — use keyword research tools (more on this in Step 4). But how do you map what people are asking AI assistants?

There are two approaches.

First, use prompt research tools. Analyze AI has a Suggested Prompts feature that automatically identifies the most relevant prompts people are likely asking AI engines in your industry. These suggestions are based on your competitive landscape and the prompts your competitors already appear in.

You can also run ad hoc searches to test specific prompts. Type in a prompt like “best project management tools for remote teams” and Analyze AI will check multiple AI engines to see whether your brand gets mentioned, where your competitors show up, and what sources get cited.

Second, think like your buyer. Open ChatGPT, Perplexity, or Google AI Mode and type the kinds of questions your customers would ask at each funnel stage. Take note of which brands get recommended, which sources get cited, and what kind of content AI engines seem to favor. This is manual prompt research, and it’s surprisingly revealing.

Step 2. Choose Your Marketing Channel

Trying to build a full-funnel strategy across five channels at once is a recipe for burnout and mediocre results. Instead, pick one primary channel, build a system that works, and then expand.

Here are the most common options:

For most businesses, organic search (SEO) is the best starting point for full-funnel marketing. There are a few reasons for this.

SEO lets you target keywords at every funnel stage — informational keywords for TOFU, commercial keywords for MOFU, and transactional keywords for BOFU. Once your content ranks, it generates traffic month after month without additional ad spend. And because search engine algorithms reward topical depth, building content across the entire funnel can actually improve your rankings for individual articles. Google’s algorithm considers topical authority, meaning that if you comprehensively cover a subject from every angle, your individual pages may rank higher than they would in isolation.

That said, you should treat AI search as a complementary channel from day one — not as a separate project you’ll get to later. The content you create for SEO can and should also show up in AI-generated answers. The two channels reinforce each other: quality content that ranks on Google is often the same content that AI engines cite as a source.

This guide will assume you’re using SEO as your primary channel, with AI search optimization layered in throughout.

Step 3. Set Your KPIs

KPIs — key performance indicators — are the metrics you’ll use to measure whether your strategy is working. Many guides overcomplicate this with attribution models and multi-touch funnels. Here’s a simpler approach.

Start with two KPIs: traffic and keyword rankings.

Traffic tells you whether your content is reaching people. Keyword rankings tell you whether your content is performing in search. Together, they give you a clear picture of momentum.

You can track traffic using Google Analytics or Google Search Console. Head to your GA4 dashboard, navigate to Engagement > Overview, and check your page views over time.

For keyword rankings, use a rank tracking tool. Set up your target keywords and monitor their positions weekly. If rankings are trending upward, your strategy is working. If they’re declining, you may need to refresh your content or build more backlinks.

What counts as “good” traffic depends on your niche. A B2B SaaS company targeting enterprise buyers might be thrilled with 500 monthly visits to a BOFU comparison page if the conversion rate is high. A consumer brand might need 50,000 visits to move the needle. The important thing is that your numbers trend upward over time.

Adding AI Search KPIs

If you’re only tracking Google traffic, you’re only seeing part of the picture. Buyers are increasingly discovering brands through AI search engines — and that traffic doesn’t always show up the same way in Google Analytics.

Here are two AI-specific KPIs worth tracking from the start.

AI visibility: This measures how often your brand gets mentioned when people ask AI engines questions related to your industry. A tool like Analyze AI tracks your visibility across ChatGPT, Perplexity, Google AI Mode, Claude, and Copilot, and reports it as a percentage.

AI-referred traffic: This measures actual visitors arriving at your website from AI platforms. Analyze AI’s AI Traffic Analytics dashboard breaks this down by source (ChatGPT, Claude, Perplexity, etc.), shows which landing pages receive AI traffic, and tracks engagement metrics like bounce rate and session time.

This data is valuable because it tells you which content is attracting AI-referred visitors — which, in turn, tells you what kinds of content AI engines value in your space. More on how to use this in Step 5.

Step 4. Create Content for Every Funnel Stage

This is where the real work happens. You’ve mapped the buyer’s journey, chosen your channel, and set your KPIs. Now you need to create content that targets each funnel stage.

If you’re using SEO as your primary channel, that means keyword research comes first.

How to Do Keyword Research for a Full-Funnel Strategy

Keyword research is the process of finding the search terms your potential customers use at each stage of the funnel. Here’s how to approach it stage by stage.

TOFU keywords are broad and informational. People searching these terms are trying to learn something, not buy something. They often start with “what is,” “how to,” “why,” or “guide to.”

To find TOFU keywords, start with a seed keyword related to the broad problem your product solves. If you sell email marketing software, your seed might be “email marketing.” Plug it into a keyword research tool and look at the keyword ideas.

You’ll see terms like “what is email marketing,” “email marketing tips,” “how to start an email list,” and “email marketing for beginners.” These are all TOFU topics. People searching for them probably don’t know they need email marketing software yet — they’re just learning.

You can also use Analyze AI’s Keyword Generator to brainstorm seed keywords, and the Keyword Difficulty Checker to gauge how hard each term would be to rank for.

MOFU keywords are more specific and often commercial. People searching these terms know they have a problem and are evaluating solutions. They include terms like “best [product category],” “how to [achieve outcome] with [solution type],” and “[solution A] vs. [solution B].”

Using the same email marketing example, MOFU keywords might include “best email marketing platforms,” “how to automate email sequences,” or “Mailchimp vs. ConvertKit.” These searchers are closer to buying but haven’t made their decision yet.

BOFU keywords are highly specific and transactional. They often include your brand name, competitor names, pricing queries, or specific product features. Examples: “[your brand] pricing,” “[your brand] vs. [competitor],” “[your brand] review,” or “[your product] free trial.”

Here’s a quick framework for organizing your keyword research:

Notice the priority column. I recommend creating BOFU content first, then MOFU, then TOFU. Why? BOFU content converts better. A single BOFU comparison page that ranks well can generate more revenue than ten TOFU blog posts. Start with the content closest to the sale, then work backward.

How to Research AI Prompts Alongside Keywords

Here’s where most content strategies miss an opportunity. While you’re doing keyword research for Google, you should also be researching the prompts people ask AI engines at each funnel stage.

AI prompt research serves two purposes. First, it helps you understand how buyers phrase questions when they use ChatGPT or Perplexity instead of Google — which is often quite different from how they search on Google. Second, it shows you where your competitors are visible and where you’re not, revealing gaps you can fill with content.

In Analyze AI, the Tracked Prompts dashboard lets you monitor specific prompts across multiple AI engines. You can see your brand’s visibility, sentiment, position, and which competitors appear alongside you.

For example, if you track the prompt “best workforce agility solutions for skills-based organizations,” you might see that your brand appears at position #1.3 with 100% visibility, while four competitors also get mentioned. That’s a MOFU prompt, and you’re winning it.

But if you track “best project management solution in 2026” and see no data — that means you’re not showing up at all. That’s a gap. You need content that addresses that topic so AI engines have something to reference when users ask about it.

The Suggested Competitors tab also shows you which brands AI engines mention frequently in your space — even brands you might not have considered as competitors.

This is useful for BOFU content planning. If AI engines keep mentioning a competitor alongside your brand, that’s a signal to create a comparison page addressing both products directly.

Writing Content That Works for Both Google and AI Search

Once you have your keywords and prompts mapped, it’s time to create content. Here are five steps for writing content that ranks on Google and gets cited by AI engines.

1. Match the search intent. Before writing anything, search your target keyword on Google and look at the top results. Are they how-to guides? Listicles? Product comparisons? Your content should match the dominant format. If the top results for “email marketing strategy” are all step-by-step guides, don’t write a listicle. Write a better step-by-step guide.

2. Build a content outline. List every section your article needs to cover. Look at what the top-ranking pages include, identify gaps where they’re thin or incomplete, and plan to fill those gaps. This is how you create information gain — the unique value your article offers that existing content doesn’t.

3. Write with clarity and depth. Every sentence should serve a purpose. If a sentence doesn’t teach, prove, or move the reader forward, cut it. Use simple language. Avoid jargon unless your audience expects it. And be specific — vague advice like “create great content” helps nobody. Specific advice like “write a 2,000-word comparison post that includes a feature-by-feature table” gives readers something to act on.

4. Include structured data that AI engines can parse. AI engines tend to cite content that is well-organized with clear headings, tables, numbered lists, and definitive answers to specific questions. When you write a section answering “what is the best email marketing tool for small businesses?” — answer the question directly in the first sentence, then support it with evidence. This clear structure makes it easier for AI models to extract and reference your content.

5. Optimize for on-page SEO. Include your target keyword in the title, H1, URL, and meta description. Use related terms naturally throughout the content. Build internal links to other relevant pages on your site. These are basics, but they matter — especially because internal linking structure also signals topical relationships to AI models, not just Google’s crawlers.

Using Analyze AI’s Content Writer for AI-Optimized Content

Analyze AI’s Content Writer helps you plan and write content that’s optimized for both search engines and AI visibility. It works by identifying content gaps — prompts and queries where your competitors appear in AI answers but you don’t — and generating content ideas based on those gaps.

When you click into a specific idea, the tool generates a full research brief that includes searcher intent analysis, knowledge level assessment, AI visibility context, and competitive positioning — all with inline comments from Analyze AI’s strategist.

This bridges the gap between keyword research and content creation. Instead of guessing what angle to take, you get data-backed guidance on what the searcher wants, what they already know, and where your brand is missing from the AI conversation.

Step 5. Track Performance and Optimize

Publishing content is not the finish line. The real gains come from tracking what’s working, spotting what isn’t, and doubling down on winners.

Here’s how to build a performance tracking system.

Track SEO Performance

Monitor keyword rankings weekly. Set up your target keywords in a rank tracking tool and check their positions every week. Look for trends: are rankings climbing, holding steady, or dropping? A keyword that jumps from position 15 to position 8 in a month is on the right trajectory. One that drops from position 5 to position 12 may need a content refresh.

Review your top-performing pages monthly. Look at which pages drive the most traffic and which keywords they rank for. This tells you two things: what content formats work in your niche, and which funnel stages are performing best. If your MOFU content is driving 70% of traffic but your BOFU content barely ranks, that tells you where to invest more effort.

Refresh declining content. If an article that used to rank well starts losing positions, don’t just publish more content — update the existing piece. Add new information, update outdated statistics, improve the structure, and re-optimize for the target keyword. Content refreshes are one of the highest-ROI activities in SEO because you’re building on existing authority rather than starting from scratch.

You can use the SERP Checker to see the current search results for your target keywords and spot new competitors that have moved ahead.

Track AI Search Performance

Most marketers track Google performance but completely ignore AI search. That’s a blind spot. Here’s how to close it.

Monitor AI visibility by prompt. In Analyze AI, the Tracked Prompts dashboard shows you exactly which prompts your brand appears in, your position, your sentiment score, and which competitors share the space. Review this weekly, just like you’d check keyword rankings.

If a prompt where you used to appear at position #1 drops to position #3, that might mean a competitor published new content that AI engines now prefer. Time to update your content or create something better.

Analyze AI-referred landing pages. The AI Traffic Analytics landing pages report shows which pages on your site receive the most traffic from AI platforms. This is gold.

Look for patterns: are blog posts getting more AI traffic than product pages? Are TOFU articles or BOFU pages performing better in AI? This data tells you what kind of content AI engines prefer to cite in your space, so you can create more of it.

Check which sources AI engines cite in your industry. The Sources dashboard in Analyze AI shows every URL and webpage that AI platforms cite when answering questions about your industry. You can see the content type breakdown (blogs, product pages, reviews, etc.) and identify the top-cited domains.

If review sites and blogs dominate the citations, that tells you what format to invest in. If a specific competitor domain shows up disproportionately, you can study their content to understand what AI engines value.

Use the Perception Map for competitive positioning. Analyze AI’s Perception Map plots your brand and competitors on a 2×2 grid: visibility vs. narrative strength. Brands in the top-right quadrant (“Visible & Compelling”) are winning in AI search. Brands in the bottom-left (“Low Visibility”) have work to do.

Click any competitor to see their battlecard — including which themes they’re strongest on, which AI engines favor them, and where you can differentiate.

Set Up Automated Reporting

Checking dashboards manually every week is fine when you’re getting started. But as your content library grows, you’ll want automated reports so insights come to you.

Analyze AI sends Weekly Email digests that summarize your AI visibility trends, competitor movements, and notable changes — so you can spot issues without logging in.

For SEO, set up a weekly automated report in Google Search Console showing impressions, clicks, and average position for your tracked queries. Together with your AI visibility digest, you’ll have a complete picture of how your full-funnel content is performing across both channels.

A Full-Funnel Marketing Example: SaaS Company Selling Analytics Software

Let’s walk through a concrete example to tie everything together.

Imagine you run a SaaS company that sells website analytics software. Here’s how you’d build a full-funnel strategy.

Mapping the Journey

Your customer is a marketing manager at a mid-size e-commerce company. Her trigger: the CEO asks for a dashboard showing which marketing channels drive the most revenue, and she realizes her current setup (a mess of spreadsheets and basic Google Analytics) can’t answer that question.

Awareness stage queries: - Google: “how to track marketing ROI” - ChatGPT: “what’s the best way to measure which marketing channels drive revenue?”

Consideration stage queries: - Google: “best marketing analytics tools” - Perplexity: “compare top analytics platforms for e-commerce”

Decision stage queries: - Google: “[your brand] vs [competitor] review” - ChatGPT: “is [your brand] good for a mid-size e-commerce company?”

Building the Content Plan

Based on this journey, here’s a content plan mapped to funnel stages:

Notice how each Google keyword has a corresponding AI prompt. This dual-channel approach ensures you show up wherever your customer is researching.

Creating BOFU Content First

Following our priority order, the first piece of content to create is the comparison page. This page should include a feature-by-feature comparison table, screenshots of both products, honest pros and cons, and a clear recommendation.

For the AI prompt side, you’d track that comparison prompt in Analyze AI to monitor whether your brand gets recommended when people ask AI engines to compare you against competitors.

Tracking Results

After publishing, the tracking cadence looks like this:

Weekly: Check keyword rankings for all target keywords. Review AI prompt visibility in Analyze AI. Scan the Weekly Email digest for any major changes.

Monthly: Review AI Traffic Analytics to see which pages are attracting AI-referred visitors. Check the Sources dashboard to see whether your content is being cited. Analyze top-performing pages in Google Search Console.

Quarterly: Review the Perception Map to see how your competitive position has shifted. Identify content gaps — prompts where competitors appear but you don’t. Plan the next batch of content to fill those gaps.

Common Mistakes to Avoid

Creating TOFU content first. It’s tempting to start with broad, high-volume keywords. But those take the longest to rank and convert the worst. Start with BOFU, then work up the funnel.

Ignoring AI search entirely. AI engines now influence buying decisions at every funnel stage. If you’re not tracking your AI visibility, you’re flying blind on a channel that’s growing fast.

Tracking too many KPIs. Start with traffic and keyword rankings for SEO, plus AI visibility and AI-referred traffic. You can add more later. Too many KPIs early on leads to analysis paralysis and no action.

Never updating old content. Search algorithms and AI models both favor fresh, accurate content. An article that ranked well two years ago may need a significant refresh to maintain its position. Build content refreshes into your quarterly planning.

Creating content without a keyword or prompt target. Every piece of content should target at least one keyword and one AI prompt. Content without a target is content without a strategy. Use your keyword research tools and Analyze AI’s prompt suggestions to make sure every article you publish has a clear search target.

Final Thoughts

Full-funnel marketing isn’t complicated. At its core, it’s three steps: understand your customer’s journey, create content for each stage, and track what’s working.

What’s changed is that the journey now spans two channels — Google and AI search. The marketers who recognize this early and build content strategies that cover both will have a significant advantage. Not because SEO is dying (it isn’t), but because AI search is a new organic channel that compounds the value of the content you’re already creating.

Start with your BOFU content, expand to MOFU and TOFU, track both your Google rankings and your AI visibility, and keep iterating.

The funnel works. Now make it work across every channel your buyers actually use.