B2B Marketing Strategy: Where Enterprise Buyers Research Now

A B2B marketing strategy for enterprise buyers now has to win in places the brand does not own, including Reddit threads, AI answers from ChatGPT, Perplexity and Google AI Overviews, peer review sites, analyst reports and private Slack channels. Buyers visit those places long before they fill in a demo form. The vendor website still matters, but it is usually the last stop, after a buying committee has framed the problem, built a longlist and checked claims with peers. As of October 2026, an AI summary built from community threads and third-party comparison pages often answers a category question with no click at all. For a CMO or head of demand gen, the job has changed. It used to be "rank and retarget". Now it also means "be present, and be quoted accurately, at every research moment the committee goes through." The sections below map those moments by buying stage and show which content each channel needs. The guide ends with a template and a measurement framework.

Why the enterprise buyer is really a buying committee

An enterprise purchase is researched by several people with different questions, so a strategy aimed at one persona misses most of the committee. Forrester's guidance on engaging the full buying network rather than individual leads reflects this. Decisions involve several departments, and each stakeholder looks for proof in a different place.

Each role researches in its own place:

• Economic buyers read analyst reports, peer CMO or CISO networks and ROI models.
• Technical evaluators go to Reddit, GitHub, documentation and integration pages.
• End users rely on review sites, community threads and short video walkthroughs.
• Procurement and legal need pricing structure, contract terms and compliance documents.
• Internal champions need stakeholder one-pagers they can forward without editing.

Where enterprise buyers research at each stage

Enterprise buyers move through five research stages, and each stage relies on a different mix of owned, earned, shared and third-party channels.

In an illustrative example, a security architect at a 5,000-person company asks ChatGPT for "best cloud security posture tools for multi-cloud." The answer names four vendors and cites a comparison article and a Reddit thread. She reads the thread, where practitioners flag one vendor's noisy alerting. She checks review sites for the remaining three and posts in a private CISO Slack group. Only then does she visit two vendor websites. The vendor that never appeared in the answer or the thread was cut before anyone saw its site.

How AI answers, Reddit and dark social changed discovery

AI answers and community threads now decide which vendors make the longlist, often without sending a click to any vendor site. Google AI Overviews, ChatGPT and Perplexity summarize the pages they trust, and Reddit threads are a frequent source. The brand's own copy matters less than what others publish about it.

Search behavior has shifted in four ways:

• Problem-led queries ("why do our cloud alerts get ignored") now resolve inside an AI Overview before any click.
• Non-branded category queries ("best SIEM for mid-size SOC") are where shortlists form, so citation in those answers carries weight.
• Branded searches rise after buyers meet a name in a thread or answer, which makes branded volume a lagging signal of earned visibility.
• Claim validation happens on third-party sources. Buyers search "[vendor] reddit" or "[vendor] reviews" to check what the website says.

Dark social adds a layer you cannot track directly. Links get forwarded in Slack, Teams and WhatsApp, and screenshots of AI answers get pasted into internal decks. That is why content needs to be written question-first for AI answers, with clear claims, direct answers and specifics that survive being quoted out of context.

What content each research channel needs

Each research channel rewards a different format and a different trust signal, so one asset repurposed everywhere rarely works.

Review platforms need their own plan, because committees use them to check fit by role and company size. Our guide to showing up on Gartner Peer Insights covers how buyers filter there.

The content that most often blocks enterprise deals is trust content, the material buyers need at validation and consensus:

• Pricing guidance that explains the model and drivers, even without a list price
• Implementation timelines by company size, with named milestones
• Security and compliance FAQs covering SOC 2, ISO 27001, data residency and SSO/SCIM
• Migration resources from the two or three most common incumbents
• Stakeholder one-pagers for the CFO, CISO and end-user leads
• Objection-handling pages that answer the criticisms buyers read on Reddit

What makes the best B2B marketing strategy?

The best B2B marketing strategy for enterprise buyers puts the brand in front of the whole committee at each research moment, and it focuses spend on the channels that match deal size and category maturity. A strategy that only plans ads is incomplete. So is one that only plans SEO.

Use deal profile to prioritize:

• High ACV, long cycle, mature category: analyst relations, review platforms, trust content and comparison pages, because buyers are choosing between known vendors.
• High ACV, emerging category: problem-led content, AI answer presence and thought leadership, because buyers are still naming the problem.
• Technical buyers: Reddit, documentation and integration pages carry more weight than gated whitepapers.
• Lower ACV, short cycle: paid search and review sites usually beat heavy ABM. A smaller team with a modest budget is often better served by a self-serve tracker such as the Semrush AI Visibility Toolkit plus in-house content than by a managed program.

In practice, the teams have to share one map of research moments. SEO owns category and comparison queries. Product marketing owns claims and competitive positioning. Customer advocacy feeds reviews and references. Sales enablement turns the same assets into one-pagers. This is how demand generation where buyers research works day to day, with one set of claims placed everywhere the committee looks.

How Tellr puts enterprise brands where buyers research

Tellr is a premium earned-visibility agency. It runs one governed program, on its own platform, to put enterprise brands inside the Reddit threads, Google results, AI answers and ad feeds their buyers read. A senior team does the work rather than handing over a dashboard. It works with mid-market and enterprise B2B and consumer brands in categories such as cloud security, consumer security and AI software. Engagements are scoped for marketing teams spending $10k+ a month. The work starts with a category map, which takes a few weeks, so Tellr does not suit a three-week launch.

• Reddit: subreddit mapping, a daily thread radar and guideline-checked replies behind an approval gate, with no upvote buying or fake accounts
• Content: comparison pages and answer-shaped articles built to be quoted by ChatGPT, Perplexity, Gemini, Claude and AI Overviews, published to WordPress
• Answer visibility: weekly citation share by query, labelled by own site, competitor, Reddit, social or review site
• Paid media: category ad intelligence and ready-to-run creative
• Reporting: a weekly digest, a monthly program review and "Tellr for Claude", an MCP server for plain-language questions

B2B marketing strategy template

A B2B marketing strategy template for enterprise buyers should connect each research moment to an owner, an asset and a metric. Forrester's breakdown of the elements of a B2B marketing plan is a good baseline. Add a research-presence layer on top of it:

1. Set revenue objectives: pipeline, ACV, deal velocity and win rate against named competitors.
2. Map the buying committee: roles, their questions and where each one researches.
3. Audit research presence: citation share in AI Overviews, Reddit threads per category query, review volume and recency, and analyst coverage.
4. Close trust-content gaps: security FAQs, implementation timelines, pricing guidance, migration guides and one-pagers.
5. Plan channels by stage: use the stage table above, weighted by ACV and category maturity.
6. Assign owners and approvals: SEO, product marketing, advocacy, legal review for community replies, and sales enablement.
7. Run 90-day sprints: include pilot tests with stop-or-scale criteria and a monthly review.

Enterprise buyers will keep researching in places you do not control. The brands that win plan for those places on purpose, with trust content ready for validation and claims that hold up when a committee checks them on Reddit or in an AI answer. Build your B2B marketing strategy around those research moments, measure presence as carefully as pipeline, and review it every quarter as AI answers and communities change.

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