A practical approach to semantics for B2B: how to find keywords where there's purchase intent, not just curiosity, and how not to lose focus on the pipeline.
A semantic core without business logic often turns into a list of topics that 'might work.' But owners don't need just any keywords—they need the ones that lead to revenue or influence decisions.
Your SEO specialist reports: “Organic traffic is up 40%.” Great. But sales haven't budged. Sound familiar? Chances are, 80% of that traffic is informational: people who read but don't buy. For B2B SEO, the key task is to separate the queries that bring in money from the ones that just inflate your stats.
Commercial semantics is not about the number of keywords, but about understanding the intent behind each query. In B2B this is especially important: the same query can be both informational and commercial depending on the context. Let's break down the system we use at AiUse for clients.
4 types of queries and how to tell them apart in B2B
Classifying search queries by intent:
- Informational: "What is CRM," "how does a marketing funnel work," "the difference between MQL and SQL." The reader is learning the topic. Conversion to leads is under 0.5%. Useful for building authority, but not for direct sales.
- Navigational: "HubSpot login", "AiUse Agency site". They're searching for a specific brand/site. Important for branded SEO, but not for attracting new customers.
- Commercial / research (Commercial): "best CRM for B2B companies," "Fractional CMO vs in-house marketer," "AI automation agencies Ukraine." The person is comparing solutions and getting ready to buy. Conversion is 2-5%. This is where you should invest.
- Transactional: "order B2B SEO audit," "Fractional CMO price," "set up AI sales team." The person is ready to act. Conversion 5–15%. Most valuable queries, but most competitive.
"In B2B, it's not traffic that matters — it's pipeline. 100 transactional visitors a month are worth more than 10,000 informational ones. Optimize for intent, not volume."
Red flags: how to separate signal from noise
Here are signals that a keyword most likely won't deliver commercial results:
- Starts with "how", "what is", "why": 95% of such queries are informational. Useful for a blog, but not for service pages.
- SERP is dominated by Wikipedia, Wikipedia-like resources, Quora: if Google shows encyclopedic answers — the intent is informational.
- No commercial listings (PPC) in the SERP: If no one is paying for ads on this query, it's a signal that there's no conversion. Google Ads shows you intent better than any other tool.
- High traffic but zero leads per analytics: If Google Analytics shows traffic for a query but assisted revenue is zero, the keyword isn't commercial.
How to build a money keyword list for B2B
A practical algorithm for building commercial semantics:
- Step 1 — Starting seed keywords: List your services in plain words the way clients search for them, not the way you name them. 'AI automation' is not the same as 'chatbot for answering enquiries.'
- Step 2 — Competitor gap analysis: In Semrush or Ahrefs, compare your domain with 3-5 competitors. Find keywords they rank for and you don't. Filter by CPC > $1 (this is a proxy for commercial intent).
- Step 3 — Jobs-to-be-done filter: rephrase each keyword as a "customer task." If the task sounds like "compare solutions" or "hire a vendor" — it's commercial. If it's "learn what this is" — it's not.
- Step 4 — SERP validation: for your top 20 keywords, check the SERP manually. Is there PPC? Are there competitor landing pages (not just blogs)? Is there Google Shopping / Local? Positive signals = commercial keyword.
- Step 5 — Prioritization: Score each keyword using the formula (Volume × Intent Score) / Difficulty. Intent Score: Transactional = 3, Commercial = 2, Informational = 1.
The client had 8,000 organic visitors/month and 3–4 leads. We audited the keyword set: 94% of traffic came from informational queries like "what is pipeline management." We rebuilt the keywords around commercial intent: "pipeline management software for B2B," "CRM for sales teams price," "follow-up automation in Pipedrive." After 5 months: traffic dropped to 5,500/month, but leads jumped to 28–35 per month. Revenue from the SEO channel grew 9x.
If you want an audit of your current keyword set and a commercial cluster built — learn about SEO and Demand Capture from AiUse.
Quick diagnosis
Check off the items you already have. This doesn't replace an audit, but it quickly shows how much control you have over the topic.
Entity block by topic
For a page to work for both people and search, it's important to explicitly name key entities and concepts. This makes the topic denser and the solution clearer, without marketing fog.