AI Search Pushes Agencies Toward Bottom-Funnel Content That Converts Better

The funnel has moved downstream

AI Overviews are no longer a niche search experiment. Google says the feature is now available in more than 200 countries and territories and in more than 40 languages, which means the shift is now broad enough to reshape agency content plans, not just SEO theory.

Google frames AI Overviews as a faster way to get the gist of a complicated topic and a jumping-off point to relevant links. But the traffic picture tells a different story. Pew Research Center found that when an AI summary appears, users are less likely to click result links and very rarely click the cited sources. That analysis was based on browsing data from 900 U.S. adults and 68,879 Google searches in March 2025, and it helps explain why so many publishers and agencies are rethinking which pages deserve the most investment.

The clearest signal is that AI search is moving beyond broad informational queries. Semrush found that 91.3 percent of queries triggering an AI Overview were informational in January 2025, but that share had fallen to 57.1 percent by October. Navigational queries also rose from 0.74 percent to 10.33 percent over the same period, which suggests AI Overviews are increasingly sitting in the middle of the journey, not just at the top. Adthena’s analysis of more than 21 million SERPs across two four-week periods in 2025 found the same pattern: AI Overviews were showing up more often on shorter, high-volume commercial keywords, the same territory agencies have long fought over in paid search and bottom-funnel SEO.

Why bottom-funnel pages are becoming the safer bet

That shift makes the old content playbook less efficient. Broad thought leadership, generic explainers, and volume-chasing blog posts still have a role, but they are increasingly vulnerable to AI summaries that answer the first question before a user ever visits a page. Ahrefs added another warning sign in its December 2025 study, finding that AI Overviews correlated with a 58 percent lower average clickthrough rate for the top-ranking page.

The pages that survive that pressure are the ones tied to decision-making. Service pages, comparison pages, pricing explanations, solution-focused landing pages, product-led guides, and decision-support content are all more likely to meet a buyer who is already evaluating options, checking fit, or validating a choice. That is where the commercial value sits now: not in winning the first curious glance, but in being present when the buyer is close enough to act.

The revenue logic is stronger in B2B, where the buying journey is already self-directed. McKinsey’s 2024 B2B Pulse Survey, based on nearly 4,000 decision makers across 34 sectors, eight major industries, and 13 countries, found that self-service and remote purchasing have gained ground, and that e-commerce now accounts for more than one-third of revenue for companies that offer it. Gartner says 75 percent of B2B buyers prefer a rep-free sales experience, even though self-service digital purchases are more likely to end in regret. It also says buyers are 1.8 times more likely to complete a high-quality deal when they use supplier-provided digital tools with a sales rep.

What the buying committee needs before it talks to sales

The modern buying group is bigger, slower, and more fragmented than the old funnel assumed. Gartner says the average enterprise buying group includes five to 11 stakeholders across about five functions, while 6sense says typical B2B purchases involve more than 10 people, take close to a year, and often have vendor selection largely decided before sellers are engaged. That means the content challenge is no longer just attracting a lead; it is helping a committee align around a shortlist.

That is exactly where bottom-funnel assets earn their keep. A comparison page can help a procurement lead understand tradeoffs. A pricing page can reduce the friction that otherwise pushes a buyer back to a competitor. A solution landing page can translate a product into a specific business outcome. And a product-led guide can do what broad top-of-funnel content often cannot: answer the last, high-stakes question a group needs before it moves forward.

For agencies, this changes the sales pitch as much as the editorial calendar. The strongest argument is no longer that content will drive more sessions next quarter. It is that content can influence pipeline more directly by mapping to the questions buyers ask when they are already close to choosing, then proving whether those pages contribute to revenue.

How agencies should rebuild their content strategy

The practical move is to rebalance, not abandon. Top-of-funnel content still has a place, but its share of investment should shrink if the goal is efficient growth in an AI-search environment. Agencies that want to stay relevant should build around commercially oriented assets and measure them against outcomes that matter to revenue teams.

A useful operating model looks like this:

• Map each page to a buyer-stage question, not just a keyword
• Prioritize comparison, pricing, service, and solution pages for expansion
• Tie content reporting to pipeline contribution, assisted conversions, and closed-won influence
• Use sales feedback to refine the questions that appear in final-stage buying conversations
• Treat content as a decision tool, not only a traffic source

That shift also gives agencies a better story when clients ask what they are buying. Instead of selling volume in a search landscape that is increasingly swallowing informational clicks, agencies can position themselves as pipeline builders. The value proposition becomes clearer, the measurement gets tighter, and the work moves closer to the revenue conversation.

The larger conflict is about ownership of the click

Publisher frustration shows how high the stakes have become. The News/Media Alliance has said Google’s AI Mode would further deprive publishers of original content, traffic, and revenue, and Danielle Coffey has argued that the feature takes content with no return. That criticism captures the core tension in AI search: Google says it is surfacing useful links, while publishers and agencies see an interface that often keeps the user inside the answer layer longer.

For agencies, that conflict is not just a warning sign. It is a market opening. If AI search is reducing the value of generic discovery traffic, then the pages most worth building are the ones that help a buyer decide, defend, and move. The agencies that understand that shift will not sound like traffic vendors for long. They will sound like the teams that know how to turn attention into revenue.