Digital Buying Research Can Work Well: 77% Found Their Information Easy to Find in a Consumer Survey

Consumers can usually locate useful information quickly. The harder task comes afterward: checking the details, comparing options, and deciding whether the answer is complete enough to support a purchase.

A September 2026 survey of 200 people who had recently researched a product or service found that digital buying research generally feels easy. About three quarters of respondents, 75.5%, described the process as very or somewhat easy. Only 8% called it difficult.

That result reflects the strength of modern search, social platforms, company websites, and AI tools. They make discovery fast and reduce the effort required to find a starting point. The same survey also shows why an easy search can still become a lengthy research session: only 39.5% of respondents said their main source answered their question completely.

Consumers are finding information. They are then doing the work of assembling a complete answer from several places.

The survey reveals a gap between how simple research feels and how much work the process actually involves.

A first search may produce a useful product page, review, social post, AI summary, or comparison article within seconds. That first result often answers part of the question. It may explain what a product does while leaving out the price, limitations, alternatives, or evidence behind its claims.

The detailed results show the pattern clearly:

The low level of reported difficulty comes from the low cost of continuing. A shopper can open another tab, ask an AI assistant for clarification, search for a review, or check a company website in a few seconds. Consumers have become comfortable treating the first result as one step in a wider investigation.

That behavior matters for brands. A page can attract a visitor and still lose the decision if it leaves a practical question unanswered. The visitor may continue researching without any strong frustration, then reach a competitor whose content explains the missing detail more clearly.

Digital buying research often feels fast and easy because consumers can find a useful starting point within seconds. However, a September 2026 survey of 200 recent product and service researchers found that only 39.5% considered their main source complete, while 72.5% used multiple sources to fill information gaps. Search engines, social media, company websites, review sites, communities, and AI tools each contribute different pieces of the decision. For content teams, the opportunity is to reduce this answer-assembly work by explaining total cost, alternatives, evidence, limitations, suitability, and next steps in clear, current, verifiable content.

When respondents named the source they relied on most, no category reached a majority. Social media ranked first at 24%, followed by traditional search results at 19.5% and company websites at 17.5%.

AI also has a substantial role. Fourteen percent of respondents identified AI assistants or chatbots as their primary source, while 11% selected AI-generated search summaries. Combined, AI-mediated sources accounted for 25% of primary-source choices.

That places AI at roughly the same level as social media as a main information channel in this survey. AI is also used alongside search, company content, and social research, so its influence extends beyond the people who name it as their primary source.

For content teams, this creates a distribution problem. A company can perform well in traditional search and still miss consumers who begin with social media. A useful website page may fail to influence a shopper if an AI summary omits an important detail. A strong product description may lose credibility if independent reviews describe a limitation that the company never addresses.

A practical content plan needs to account for the whole route a consumer may take:

Search creates discovery. Social media adds lived experience. Company content supplies direct information. AI helps consumers organize and test what they have found.

The channels overlap, and consumers move between them according to the question they need answered next.

Nearly half of respondents, 48.5%, used social media during their product or service search. One quarter named it as their main source.

Social content often answers questions that formal product pages handle poorly. Customers may show how a product performs after several months, explain an unexpected setup issue, compare real-world results, or describe whether the product fits a particular lifestyle or business environment.

That information can be messy. Posts may contain incomplete context, personal bias, or outdated claims. Even so, consumers use social platforms because they offer visible experiences and direct reactions from other people.

Companies can respond by treating social questions as research signals. Repeated comments about unclear pricing, integration problems, setup time, or missing features point to gaps that deserve fuller treatment on owned channels.

Useful social content can then point to deeper resources, such as:

Social media does not replace detailed information. It often reveals where detailed information is needed.

The survey suggests that content performance should be judged by more than whether a page attracts an initial visit. Consumers increasingly treat the first result as a starting point, then verify claims, compare options, and refine their questions across several channels. A useful page is therefore not merely visible or concise; it is complete enough to support the next decision. Brands that explain costs, tradeoffs, evidence, limitations, and real-world use cases can retain more influence as consumers move between search, social media, company content, and AI-assisted research.

One third of respondents used AI assistants or chatbots during their search. AI can summarize several sources, explain technical terms, suggest follow-up questions, and help consumers compare options.

Its value depends on the quality and clarity of the material available to summarize. If product pages omit important caveats, AI-generated answers may also omit them. If pricing is hidden or split across several pages, the resulting answer may be vague. If an article has no date or author, the consumer has less information to use when judging its reliability.

The background research points to a mixed role for AI in discovery. Pew Research Center reports that searching for information is among the common uses of AI tools. Gartner has found that only about one third of consumers consider generative AI chatbots as effective as search engines for learning new information. Google says its AI search features continue to surface links that help people explore and verify information.

This suggests that AI is becoming part of the research process alongside traditional search. Content still needs to be easy for people to read, easy for search systems to locate, and clear enough for AI tools to summarize accurately.

That requires basics such as:

AI visibility begins with useful source material. A page built around vague claims gives every downstream system less to work with.

The survey presents a clear standard: a strong resource should reduce the number of places a consumer needs to visit to make a confident decision.

That does not mean every page should become an enormous document. Length without useful detail adds friction. A complete page gives the reader the specific information needed for the decision, organizes it clearly, and provides evidence for the important claims.

A useful test is to ask what the reader will search for next. If the likely next searches include price, alternatives, limitations, proof, suitability, or setup instructions, the page has room to improve.

The internet has made the first answer easy to find. Consumers still need help turning that answer into a decision. Companies that publish clear, current, well-supported information can meet consumers at more points in the journey and reduce the amount of manual answer assembly they have to do.

The findings come from 200 respondents surveyed on September 10, 2026, after they had recently searched online for product or service information. The figures are unweighted respondent percentages.

The sample is useful for identifying broad behavior patterns, though it cannot describe every audience or market. The results may not apply directly to academic research, political information, health searches, or other categories with different levels of risk and complexity.

The questions about incomplete answers were answered by a smaller group of 116 respondents who found their initial source lacking. Those figures provide useful direction, but the smaller sample calls for caution when interpreting precise percentages.

Even with those limits, the central pattern is consistent across the findings: consumers can discover information quickly, then use multiple sources to check, expand, and apply it. The most valuable content is the content that handles those next questions before the consumer has to ask somewhere else.