How Searchers Moved Between Google, YouTube, Reddit and AI Tools During the Buying Journey

The idea that a B2B buyer sits down, runs a search, and works their way down a list of results was always a simplification. By 2024 it had become misleading. Serious buyers moved fluidly between platforms, using each for what it did best, and the path from first awareness to final decision wound through several very different environments before anyone made contact with a supplier.

For businesses trying to be visible where it mattered, understanding this movement was more useful than obsessing over any single channel. This article maps how searchers moved between Google, video platforms, community sites and AI tools during the buying journey, and draws out what that pattern meant for how a B2B business should think about visibility.

No single platform owned the journey

The central fact was that no one platform contained the whole journey. A buyer might use Google to orient themselves, a video platform to see how something worked, a community forum to hear unvarnished opinions, and an AI tool to summarise or shortlist. Each served a different need at a different moment, and the buyer switched between them without much conscious thought.

This mattered because a business visible on only one platform was, by definition, absent from parts of the journey where opinions were being formed. Visibility on Google alone could not compensate for absence from the video or community surfaces where a buyer built their understanding. Recognising that the journey was distributed was the first step towards planning for it.

Google as the orientation point

Google typically remained the place buyers went to orient themselves — to define a problem, understand a category, or find candidate suppliers. But even here, the experience had changed. AI summaries and other features increasingly answered opening questions on the page, meaning a buyer might form early impressions without clicking through to any website.

For B2B businesses, this reinforced that appearing well for orientation-stage queries mattered, but it was only the beginning. The buyer who oriented themselves on Google would soon move elsewhere to go deeper, and a business that captured attention at orientation but was invisible thereafter risked being forgotten before the decision was made.

Video for demonstration and understanding

When buyers wanted to see rather than read — to understand how a product worked, watch it in use, or judge whether it fitted their situation — they frequently turned to video. For technical and product businesses especially, video answered questions that text struggled to convey, and it did so in a format buyers found quick to absorb.

A business absent from this surface ceded an important moment in the journey to competitors who were present. Video did not need to be elaborate; it needed to be genuinely useful, showing real capability rather than polished marketing. Buyers were adept at telling the difference, and authenticity mattered more than production value.

Community forums for candid opinion

Perhaps the most influential and least controllable surface was the community forum. Sites where practitioners discussed problems and shared experiences carried a particular kind of authority, precisely because the opinions were not marketing. A buyer weighing a significant decision often sought out these candid discussions to sanity-check what suppliers had told them.

Businesses could not manufacture credibility here, but they were not powerless. The way different decision-makers search for the same industrial product often led them to these communities at different stages, and a business with a genuinely good reputation, real expertise and a track record of helpfulness tended to be spoken about more favourably. Reputation earned honestly was the only durable asset on this surface.

AI tools for summarising and shortlisting

Increasingly, buyers used AI tools to compress research — to summarise a topic, compare options, or generate a starting shortlist. These tools drew on information from across the web, which meant a business's visibility here depended heavily on how clearly and credibly it presented itself everywhere else. An AI tool could only reflect a business as well as the wider web described it.

This created an indirect but real incentive to be clear, consistent and well-documented across every surface. A business that was vague or inconsistent online gave AI tools little to work with, while one that presented its capabilities clearly gave those tools a credible basis for including it. Visibility in AI tools was, in large part, a reflection of visibility and clarity everywhere else.

The measurement challenge of a distributed journey

A journey spread across platforms was inherently hard to measure. A buyer might first hear of a business in a forum, watch a video, read a summary, and finally arrive via a branded Google search weeks later. Crediting only that final search badly misrepresented what had actually shaped the decision.

Businesses that understood how multi-touch marketing changed the measurement of organic search were better prepared for this. Rather than searching for a single source of truth, they accepted distributed influence and looked for patterns. This was less tidy than a simple last-click model but far more faithful to how buyers behaved across platforms.

Brand as the thread through the journey

With the journey scattered across surfaces, the brand became the thread that connected them. A buyer who encountered a consistent, recognisable business on Google, in a video, in a forum discussion and through an AI summary accumulated familiarity, and that familiarity converted scattered impressions into trust. Without a strong brand, the same appearances registered as disconnected fragments.

The reasons brand searches matter more than ever for established B2B companies came into sharp focus here. A buyer who ended their multi-platform journey by searching for a business by name signalled that the earlier touchpoints had done their work. Brand was what allowed a distributed journey to accumulate into a decision.

Content for the people, not just the platforms

A distributed journey also involved multiple people. In B2B, the researcher, the technical evaluator, the procurement lead and the final decision-maker often used different platforms and asked different questions. Content that served only one of these stakeholders left gaps that competitors could fill.

Learning to create content for multiple stakeholders in a B2B buying committee was therefore inseparable from planning for a multi-platform journey. The two challenges — many surfaces and many stakeholders — reinforced each other, and a strategy that addressed both was far more robust than one that addressed either alone.

A worked example of a distributed journey

Consider how a typical high-value B2B purchase might unfold across platforms. A procurement lead becomes aware of a recurring problem and runs an initial Google search to understand the category and the language used to describe it. The results, including any AI summary, give a rough map of the landscape and a few names to remember. Rather than committing immediately, the buyer files these away and moves on.

Later, a technical colleague wants to understand how the leading options actually work, and turns to video to watch demonstrations and installations. Reassured on some points and troubled on others, the same colleague searches a community forum for candid experiences, weighing the enthusiasm of marketing against the caution of practitioners. By the time the buying group reconvenes, several people have formed impressions from several surfaces, none of which appeared in a single tidy analytics report. Only near the end does someone run a branded search for the shortlisted suppliers and visit their websites to confirm the decision.

The lesson from this example is that the decision was shaped long before the final website visit, and shaped across surfaces a supplier could easily have overlooked. A business visible only at that final step would have arrived too late to influence the outcome.

Why absence from a surface is invisible in reports

One of the most difficult aspects of a distributed journey is that absence leaves no trace. When a buyer forms a negative or neutral impression because a business was missing from the video or forum stage, no report records the opportunity that was lost. The analytics show only the buyers who did arrive, never the ones who quietly chose a competitor after research the business never saw.

This invisibility made it easy to underestimate the cost of a single-platform strategy. A business could look healthy in its own dashboards while steadily losing deals in surfaces it never monitored. The remedy was not to instrument every platform obsessively, which was rarely practical, but to accept that influence and loss both happened out of view, and to build a credible presence across the surfaces that mattered rather than assuming that healthy website metrics told the whole story.

Turning the challenge into an advantage

For businesses willing to think this way, the distributed journey was as much an opportunity as a threat. Many competitors continued to treat search as a single-platform game, which meant the video and community surfaces were often under-served. A business that showed up credibly on those surfaces, with genuinely useful material and an honest reputation, could differentiate itself precisely where rivals were absent.

This did not require enormous resources so much as clear priorities and authentic expertise. A handful of genuinely helpful videos, a reputation worth discussing in forums, and clear, consistent information that AI tools could draw upon added up to a presence that felt substantial to a buyer moving across surfaces. The businesses that grasped this early built an advantage that was difficult for slower competitors to close.

How B2B businesses could respond

The response was not to be everywhere with equal effort, but to map the actual journey of the business's specific buyers and be present, credibly, at the moments that mattered most. That meant identifying which platforms those buyers genuinely used, producing content suited to each, and tying it together with a consistent brand. An evidence-led approach to SEO, GEO and AIO gave businesses a way to make these choices deliberately rather than scattering effort in the hope of coverage.

Conclusion

By 2024, the B2B buying journey moved fluidly between Google, video platforms, community forums and AI tools, with no single surface containing the whole story. Businesses that mapped this movement, showed up credibly where their buyers actually were, connected those appearances with a strong brand, and measured influence across the journey rather than crediting the last click were far better placed than those still treating search as a single-platform contest. The journey had become distributed, and visibility had to follow.