B2B SEO is the same craft as any SEO, applied to a very different buyer. Fewer people search, they search for longer, several of them are involved in one decision, and the purchase is large enough that they read carefully and compare hard. Increasingly, they also ask an AI assistant to do the first round of comparing for them.
This post covers what changes for B2B, which pages matter at each stage, what is different at enterprise scale, and how the AI answers fit in, with the actual question set we track for our own B2B product.
What makes B2B SEO different?
Four things, and each changes the plan.
Low volume, high value. The search volume for a B2B category question can be tiny next to a consumer query, and a single buyer can be worth a year of revenue. Volume-based keyword plans undervalue the questions that matter. Judge a B2B question by how close it is to a decision, not by how many people search it.
A committee, not a person. One purchase involves a user, a manager, a budget holder, someone from IT or security, and often procurement. Each asks different questions. The security reviewer will never read your feature page; they will search for your SOC 2 report or your data handling.
A long cycle. A buyer may search a problem in March, compare vendors in May and ask for pricing in June. Your pages need to work at each stage, and link from one stage to the next.
A shortlist formed before the visit. Forrester reported in January 2026 that 94% of business buyers used AI in their buying process, and that twice as many named generative AI or conversational search as a more meaningful source than any other. If the assistant's answer to "best [category] for [company like mine]" names three vendors, your site is competing to join a list that has already been written.
Which pages does a B2B site need?
Map the pages to the stages of the decision.
Problem
- What the buyer asks
- "Why does X keep happening?", "how to fix X"
- Page that answers it
- A guide built on real use, with your product as one of the ways
Category
- What the buyer asks
- "What is [category]?", "do I need [category]?"
- Page that answers it
- A clear definition page and a hub
Shortlist
- What the buyer asks
- "Best [category] for [company type]", "[competitor] alternatives"
- Page that answers it
- Alternatives pages, "best for" pages with a stated method
Comparison
- What the buyer asks
- "[You] vs [competitor]"
- Page that answers it
- Honest head-to-head pages, with sources and dates for competitor facts
Validation
- What the buyer asks
- "[You] pricing", "[you] security", "[you] integrations", "[you] reviews"
- Page that answers it
- A pricing page with the numbers, security and integration pages, review site profiles
Proof
- What the buyer asks
- "Does [you] work for [use case]?"
- Page that answers it
- Use-case or solution pages with real examples
Two rules hold for every one of them: answer the question in the first lines, and give each question exactly one owner page. B2B sites tend to sprawl into dozens of overlapping blog posts on the same three topics. Those split the signals and give an AI engine five weak candidates instead of one strong one.
What does a real B2B question set look like?
Here is ours. Attensira is a B2B product, and we track our own category in our own product. Our workspace for attensira.com tracks 61 questions on ChatGPT and Perplexity. A sample, grouped by stage:
- Category: "AI visibility platform", "AI search visibility software", "what is generative engine optimization".
- Shortlist: "best AI visibility tool for B2B SaaS in 2026", "best AI search visibility tools for agencies", "best GEO tools".
- Alternatives: "Peec AI alternatives", "Semrush alternatives for AI search", "Profound alternatives for small businesses".
- Comparison: "Attensira vs Profound", "Peec AI vs Profound".
- Problem: "why am I not showing up in ChatGPT", "how to get cited by ChatGPT".
- Price: "AI search visibility starting price", "how much does AI search visibility cost".
- Brand: "what is Attensira", "Attensira reviews".
What the answers showed, between 4 September and 4 October 2026 (4,524 answers, read on 24 of the 31 days): the three questions that contain our name named us in 197 of their 198 answers. None of the other 58 questions named us in a single answer. The sharpest case is the question a B2B SaaS buyer would actually type, "best AI visibility tool for B2B SaaS in 2026": Profound was named in 99 of 111 answers and we were named in none. On ChatGPT the most-cited deciding source was a competitor's own roundup of monitoring tools; on Perplexity the deciding sources included an independent "best AI visibility tools for B2B SaaS" list. Neither mentions us.
That is the most common B2B pattern there is, and it is why we are rewriting our own site: you win the questions that contain your name, and lose the shortlist questions where buyers have not heard of you yet. The shortlist and alternatives questions are where the work is.
How do you win the shortlist questions?
Shortlist answers are mostly decided by pages other people wrote, so the work is on two sides.
On your site:
- Build alternatives and comparison pages that are honest enough to quote: real tables, dated competitor facts with sources, and a verdict that says who each option suits, including when it is not you.
- Put your price on your pricing page in plain words. Assistants asked about price quote whoever states it clearly.
- Write the "best for [company type]" page with a stated method, not a list where you come first on every row.
Off your site:
- Complete and correct your profiles on the review sites and directories your buyers use.
- Find the roundups and "best" lists engines cite for your shortlist questions, and pitch the authors with evidence, not adjectives.
- Answer the questions in communities where your buyers ask each other, as a named person, with a disclosure.