A few years ago, a B2B SEO plan fit on one page. Find keywords, write pages, build links, reach page one of Google, and the demos came in. That started to change in May 2024, when Google put AI Overviews on top of its results in the US, and it kept changing as buyers moved their research into ChatGPT, Claude and the AI assistants their companies give them at work. In Forrester’s latest buyer survey, published in January 2026, 94% of business buyers said they use AI somewhere in their buying process.

For a software, SaaS or IT company, this is very concrete. The CTO, operations manager or procurement lead who used to type a few keywords into Google and open five tabs now describes the problem to a chatbot and asks for a shortlist. The answer names a handful of vendors, and often that list is the shortlist. When they do search Google, the AI Overview gives them the same kind of summary before they ever see your page.

So the simplest way I can put it: your buyer now has a research assistant that reads the internet for them, and your strategy has to convince that assistant as well as the buyer.

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I’ve spent over 15 years in digital marketing and SEO, and I’ve watched this shift play out across the dozens of B2B, SaaS, software and technology companies I’ve worked with as an SEO and AI search consultant. The pattern is the same everywhere. Rankings and backlinks used to be the whole game in B2B SEO. Now they’re the foundation, and the real test is whether your brand gets named when a buyer asks an AI tool who to talk to.

One prospect call sums it up for me. The team behind an enterprise XR streaming platform told me that they ranked number one on Google for “XR streaming,” and that ChatGPT recommended them first for it too. Then they said the quiet part: nobody searches for “XR streaming.” Their buyers type “VR streaming,” land on cheap consumer tools, use them for a year, and only come back when IT blocks the rollout. They had won the top spot for a term their market doesn’t use.

Rankings still matter, and you’ll see why in the steps below, because AI tools still search Google and read the pages that rank. But ranking is no longer the finish line, and the playbook keeps moving. Roughly every six months, what gets cited and what actually moves the needle shifts again. So before I walk through the B2B SEO strategy my team runs for clients through 2026 and into 2027, it helps to see the path a B2B buyer takes now, because every step is built around it.

How a B2B SEO Strategy Works Now

A B2B SEO strategy now has two scoreboards: where your pages rank on Google, and how often AI tools name your brand when a buyer asks for options. Both depend on the same work, but they’re measured and won differently.

Here’s the buyer path I plan around. Someone at a company hits a problem. It gets discussed in a meeting. Then somebody goes looking for a fix, either on Google or in ChatGPT. More and more often they start in the chatbot, get a shortlist, then search your brand name on Google and book a demo. Often they never browse your site at all. In your analytics, that visit shows up as branded or direct traffic, and the AI part of the journey is invisible.

That’s why the two scoreboards are tied together. ChatGPT and AI Overviews pull from pages that rank, from listicles that compare vendors, from review sites, directories, Reddit threads and LinkedIn posts. Ranking alone isn’t enough anymore, though. When Ahrefs repeated its study in early 2026, only 38% of the pages cited in AI Overviews also ranked in Google’s top 10 for the same search, down from 76% a year earlier. A brand that only exists on its own website rarely gets recommended.

One honest caveat before the steps: not every B2B buyer has moved. I worked with a credit union whose buyers barely touched ChatGPT. People who need a mortgage go straight to Google. So the first job in any SEO strategy for B2B is to look at your own analytics and leads and see where your buyers actually research, then split the effort to match.

The 10 Steps I Use to Build a B2B SEO Strategy

These are the steps in the order I run them for a new client. Steps 1 to 4 are planning, steps 5 to 9 are the work that runs every month, and step 10 is how I decide what to change.

Step 1: Start With Your Leads, Sales Calls and Ad Data, Not a Keyword Tool

The best keyword list for a B2B SEO strategy comes from the deals you already won, not from a keyword tool. A tool tells you what people search. Your leads tell you which of those searches turn into revenue.

I see the opposite all the time. On a call with the marketing lead of an IT asset disposition company (they buy back, wipe and recycle old business hardware), she told me their SEO partner sent a report once a quarter. It listed the queries with the most impressions. There was no list of goal keywords, and she couldn’t tell what the partner was actually doing. Impressions for “how to destroy a hard drive” don’t pay the bills. A data center decommissioning project does.

So before I open any keyword tool, I pull three things:

• Qualified leads by keyword and page. I ask the client to mark which form fills became real opportunities, then match them to the page and, where Google Ads ran, the search term. For a used IT hardware buyer, I lined up a few weeks of leads from mid August to early September 2026: 112 came from the US and 30 from the UK, and none of the UK ones were qualified. That one sheet changed where the ad budget and the B2B SEO effort went.
• Google Ads search terms. Paid search is the fastest way to test a keyword. If a term converts on ads, it’s worth the months it takes to rank for it organically. It also shows you what to avoid: one data center campaign was matching searches like “how to shut down a data center,” which Google treated as the same intent and which never converted.
• Sales call notes and transcripts. On an internal call this July, my team was building topics for a construction software client straight from their sales call notes. Prospects kept describing life on spreadsheets and several disconnected systems, and kept asking about alternatives to Sage 300. Some of those phrases show zero search volume. I still turn each line into two to five topics, because that’s how buyers describe the problem and how they’ll phrase it to ChatGPT, and a B2B SEO strategy should speak in those words.

Step 2: Separate the Keywords Your Buyers Use From the Ones You Wish They Used

Most B2B companies describe themselves in their own vocabulary, and their buyers search in a different one. Your B2B SEO plan has to target the buyer’s words, even when they’re less precise.

A vision AI startup that had spun out of a big tech research lab showed me this clearly. On the call, the founder explained that investors search technical terms like “vision language model” and “multimodal AI,” while the enterprises they want to sell to search for things like “defect detection” and “computer vision for manufacturing.” They had no plan for which group to go after. My recommendation was to build the plan around the buyer terms, broken out by industry: a page for manufacturing, one for healthcare, one for automotive, and so on.

I look for three kinds of keywords and treat them differently:

• Commercial keywords. These include words like software, platform, solution, system, services, provider or company. Someone typing them wants to see a product and book a demo, not read a guide. They go first. For software companies, these are the first pages I build in my SaaS SEO work.
• Small but valuable keywords. For a solar recycling client, “solar farm decommissioning” gets around 20 searches a month. But a single one of those searches can be a huge order. For the vision AI company, a phrase like “top AI providers for multimodal annotation” had about 30 searches, but the people typing it are exactly the enterprise buyers they want. API and white-label keywords behave the same way for tech companies: tiny volume, big contracts.
• Broad keywords that look good and convert badly. “Physical AI” had real volume, but who searches it? Students, journalists, other companies, everyone. I’ll still write about broad topics, but I don’t build the B2B SEO strategy around them.

Step 3: Check the First Page Yourself Before You Trust Keyword Difficulty

Keyword difficulty scores are estimates, and in B2B SEO they’re often wrong. The only reliable way to know what it takes to rank is to look at the sites that are actually on page one.

For every priority keyword, I open the live results and check four things: the domain rating of each ranking site (a 0 to 100 score of how strong a site’s backlink profile is), how many sites link to the specific ranking page, what type of page ranks (service page, listicle, blog post), and whether an AI Overview shows up.

On the IT asset disposition call, I did this live. Their site had a domain rating of 30. For “IT asset disposition services,” about 1,200 US searches a month, they sat on page six. The weakest site on page one had a domain rating of 39, and the tool estimated around 11 backlinks to get onto the first page. But further down the list, a site with a domain rating of 48 was ranking with only 6 links to its page. For a nearby keyword, “data center decommissioning services,” they were already in the top seven, and the page-one sites needed only about four linking domains. That’s where I’d start: the easier keyword they almost own, then the harder one.

Two more things come out of this check, and they change most of my B2B SEO plans:

• Half of a big competitor’s traffic is often useless to you. When I pull a competitor’s keywords, a lot of them are random informational terms that will never convert. I pick out only the ones that match buyers, like “sell IT equipment” or “data center liquidation.”
• The page type tells you what to build. If page one is all listicles, a service page won’t win. If it’s all service pages, a blog post won’t. Ahrefs makes the same point in its guide to search intent: if most of the top pages are how-to guides, create a how-to guide.

Step 4: Map Every Keyword Group to One Money Page

Keyword mapping means putting similar keywords in a group and giving each group one page on your site. In B2B, the commercial groups go to money pages: solution, product, industry and use-case pages that lead to a demo or a quote.

My rules for mapping keywords in a B2B SEO strategy:

• One group, one page. If two pages target the same group, they compete with each other and both rank worse.
• Optimize what already ranks before you build new. If a page sits on page two for a group, it gets the work first.
• Say the keyword the way buyers say it. On the IT asset disposition page, the copy said “equipment destruction” in places where buyers search “IT asset disposition services.” I also spell out acronyms like ITAD at least once. If the page never uses the phrase, Google has to guess what you want to rank for.
• Split pages when Google treats terms differently. Back to the XR streaming company: when I searched “XR solutions for enterprise” and “VR solutions for enterprise,” Google showed different results for each, even though the technology is the same. My recommendation was to keep the homepage on XR streaming, where they already ranked first, and build a separate VR streaming page instead of forcing one page to cover both.

I keep all of this in one tracking spreadsheet per client, with tabs for keyword groups, page copy suggestions, the blog calendar, backlinks, and AI prompts. Clients see the same file I work from.

Step 5: Build One Great Page, Then Clone It for Every Industry and Use Case

The fastest way to cover a B2B market is to build one page that ranks, then use it as the template for every industry, use case and service you sell. This is the core of how I scale a B2B SEO campaign.

The first page takes the most work. It’s long, usually several times longer than what the client has. It covers who it’s for, the use cases, the industries, how it works, integrations, proof (testimonials, reviews, certifications), and a real FAQ. For AI search, I make sure the page states plainly who the company serves and what it does, because a chatbot can only recommend what it can read.

Once that page ranks and converts, I clone the layout for the next 20 to 50 pages of the B2B SEO campaign. For the vision AI company, that meant a page for each industry and each annotation type. Their domain rating was 30 with no real rankings yet, so I told them to expect the new pages to start around pages four to six of Google and move up from there.

Cloning pages is where a lot of B2B SEO campaigns go wrong. The catch: if you copy the page and swap only the industry name, Google sees duplicate content and ranks one version while ignoring the rest. I learned this on state-by-state pages for a solar recycling client: when the pages shared the same text, they stalled, so the fix was to rewrite each one with genuinely local details, like that state’s own solar figures. On the same site, older pages that my team rewrote completely went from about 8 impressions a day to about 40. The template is for structure, not for words.

Step 6: Fix the Technical Basics and the Path to a Demo

Technical SEO means making sure Google can crawl, load and understand every page. In my experience it rarely moves rankings much on its own, but a technical problem can stop everything else from working, so I fix it early.

I run the site through more than one audit tool, because each one catches different issues, then fix what’s in Search Console first: crawl errors, pages that won’t index, slow templates, broken redirects. I don’t spend weeks on schema markup for a B2B site. I add the right type to each page and move on.

The bigger miss I find is conversion. On the IT asset disposition site, a few old blog posts about hard drive destruction ranked well and drove steady traffic, but there was nothing on the page asking the reader to do anything. My recommendation was a banner and a floating call to action on those posts offering to buy, recycle or securely destroy the reader’s drives, and a short quote form instead of making people dig through the site. Your SEO strategy doesn’t have to wait for new rankings to produce leads. Sometimes the traffic is already there and nobody asked it to convert.

Step 7: Plan the Blog Around Questions Buyers Ask Before They Talk to Sales

The blog in a B2B SEO strategy exists to answer the questions buyers ask early, while they’re still figuring out the problem. Those posts rank faster than money pages, they get read by AI tools, and they send links and readers to the money pages.

For a brand protection software client, more than half of the pages that produced demo bookings were blog posts. Without them, the only pages driving demos would have been the homepage and a few solution pages.

How I build the calendar:

• Pull questions from three places. Competitors’ best blog posts, the informational variants of each money keyword (for “data center decommissioning,” that’s the process, the checklist, the costs), and the questions prospects ask on sales calls.
• Size it honestly. Most B2B markets have somewhere between 50 and 500 real topics. Match the length of what ranks, which for most how-to topics is 2,000 to 3,000 words, but don’t stretch a short answer into a long post.
• Write comparison and alternatives posts. Buyers who are unhappy with a known vendor ask for alternatives, both on Google and in ChatGPT. A “Sage 300 alternatives” post for a construction software company targets exactly the buyers who are ready to switch.
• Publish at a steady pace, not in bursts. A B2B SEO strategy rewards consistency. I’ve seen clients push out hundreds of AI-written posts or refresh thousands of old ones at once, and lose impressions across the site. Google’s spam policies call this scaled content abuse: lots of pages made mainly to rank, with little value for readers, no matter how they were created. My working rule is a handful of strong posts a month, written from real knowledge, reviewed by someone at the client, and checked so it doesn’t read like AI.

One more thing I changed this year: I stopped titling every comparison post “Top 10 Best X.” Those self-promotional listicles on a vendor’s own site started to look like commodity content to Google. A title like “How to Choose X Software” does the same job with less risk.

Step 8: Build Backlinks to Specific Pages, a Few at a Time

Backlinks are still the biggest single factor in a B2B SEO strategy, because they decide whether a page reaches page one. In my work, I’d put them at 70 to 80% of the result. A perfectly written page with no links usually starts on page five to seven of Google and stays there.

The links that work best are links inside real articles on sites that have their own organic traffic. If a site has a high domain rating but no traffic, Google doesn’t trust it, and a link from it does little. My team only counts a link as a win if the site has a domain rating of at least 30 and at least 500 organic visits a month.

How I plan the link building:

• Pick target pages, not just the domain. If I’m building five links a month, two might go to the data center decommissioning page and three to the IT equipment page, until both reach page one. Then the links move to the next pages.
• Stay at a safe pace. One to three new links per page per month is where I start, then I watch how Google reacts.
• You need fewer links than the competitor count suggests. On the vision AI call, one site I checked had 187 links in total, but only 12 of them were the kind of strong article links that count. I’ve seen sites with 5 to 10 good links outrank pages with hundreds.
• Make the link article useful on its own. The articles my team writes for placement include other helpful links, not just the client’s. That makes them look less commercial and helps them survive Google updates.

Getting those placements is the slowest part of any SEO strategy for B2B: mostly outreach and rejection. For every five links, my team might contact 20 to 30 sites and turn down a lot of them on quality. I explain how my team runs this on my link building page.

Step 9: Get Your Brand Into the Sources AI Tools Read

To get recommended by ChatGPT or named in an AI Overview, you need mentions of your brand across the pages those tools read. For AI search it’s less about the link and more about how many times, and in how many places, your brand comes up next to the problem you solve. I cover this side in more depth in my guide to building an AI SEO strategy.

An IoT connectivity client asked me a fair question on a call this October. Their domain rating had gone from about 5 to 36, so why wasn’t that showing up in AI answers? My answer: ChatGPT doesn’t know your domain rating. When a buyer asks for the best IoT connectivity providers, it searches Google, reads the top listicles and comparison pages, and recommends the brands that keep showing up across them. Domain rating helps you rank. Mentions get you recommended.

So this step of the B2B SEO strategy runs alongside the link building from month one:

• Track the prompts, not just keywords. I pick a short list of prompts a buyer would type, written the long way people talk to chatbots: “I’m a mid-size manufacturer and need an AI tool for quality control, who should I look at?” Alternatives prompts matter a lot. I track them in an AI visibility tool across ChatGPT, Perplexity and Google.
• Pull the sources and sort them. For each prompt, I export the pages the AI used and sort them by how often they appear. On one prompt for the XR company, ChatGPT pulled from 39 sources. Each source is a decision: get listed on it, or write something better that replaces it.
• Get added to the listicles that already exist. This is slow. On a typical listicle campaign, my team reaches out to close to a thousand sites, finds that maybe 100 to 200 of them actually have a relevant listicle, and gets roughly 40 to 50 editors to add the brand. For a construction software client sitting at about 50% visibility (half the time the AI didn’t mention them), my estimate was that each prompt needed around five more listicles.
• Publish outside your own site. My team publishes listicles and how-to articles for clients on LinkedIn and Medium, from client and partner profiles. LinkedIn in particular shows up again and again as a source in AI answers. In a Semrush study of LinkedIn citations, LinkedIn was the second most cited domain on ChatGPT Search, Google AI Mode and Perplexity, and about 11% of AI responses referenced it.
• Get reviews. Reviews are the part of B2B SEO most companies skip. In almost every AI research report I run for a client, the tools point out missing reviews and testimonials. Without reviews on places like G2, Capterra or Trustpilot, AI tools hesitate to recommend you.
• Use Reddit carefully. Reddit threads show up in AI answers constantly, but it takes aged accounts and real, on-topic comments. For some clients it works well. For others it’s hard to get comments to stick, and I put the time into listicles instead.

The lesson from the IoT account: start the mention work at the same time as the rankings work, not after. A site can gain authority and traffic while competitors with weaker websites get named more often in AI answers, simply because their brand appears on more lists.

Step 10: Report by Page Group and Pipeline, Not by Traffic

A good B2B SEO strategy is judged by leads and pipeline per page group, not by total traffic. Traffic can go up while leads stay flat, and if the report only shows traffic, nobody notices until it’s a problem.

What I track for every client:

• Rankings grouped by page and keyword type. I set a baseline on day one, then watch each group move: page nine to page four, then onto page one. One competitor page I showed a prospect started on page three, reached page one in about half a year, and kept climbing into the top two.
• Leads and conversions by landing page. The pages that converted in the past get the copy updates and the next links first.
• AI visibility by prompt. The share of times the brand gets mentioned, which competitors get named instead, and which sources the AI used. Going from 5% to 10% visibility is real progress even when traffic doesn’t show it.
• Branded search. When buyers find you in ChatGPT and then Google your name, branded searches rise. It’s one of the few signals that AI research is happening.

Two things make this harder in 2026. First, AI answers soak up clicks. In a Pew Research study, people who saw an AI summary clicked a regular search result in 8% of visits, compared with 15% when no AI summary appeared. Second, rank trackers have become less reliable since Google stopped letting tools pull 100 results at once in September 2025, so I double-check big drops by hand and in Search Console before anyone panics.

Every B2B SEO engagement I run starts on weekly calls where I share my screen and walk through the numbers, then moves to every two weeks or monthly once the main fixes are in.

How Long a B2B SEO Strategy Takes to Work

For an established B2B site with some authority, new pages for easier keywords usually reach page one in three to six months. Competitive keywords can take 12 to 24 months. A brand new site that has never ranked starts around pages six to eight and usually needs six to twelve months to bring in steady leads.

AI search can move faster. For one new solar recycling site, ChatGPT referrals showed up before organic rankings did, and they outperformed organic traffic for the first two to three months. That’s the payoff of writing page copy in the same words buyers use when they type long, specific questions into a chatbot.

I tell every client the same thing: the first two months are about building the foundation and proving the direction, with impressions and early rankings as the signal. The leads come after the pages reach the first page, and the work never really stops, because competitors keep publishing and the rules keep shifting.

Common Mistakes I See in B2B SEO Plans

• Reporting impressions instead of leads. A quarterly list of top queries tells you nothing about pipeline.
• Targeting the company’s vocabulary instead of the buyer’s. The XR company ranked first for a term nobody searched.
• One page for everything. A single solutions page can’t rank for ten industries.
• Cloning pages without rewriting them. Google picks one and ignores the rest.
• Publishing in bulk. Hundreds of thin posts at once can drag the whole site down.
• Treating AI visibility as a later phase. Mentions take months to build, so they need to start in month one.
• Trusting difficulty scores without checking the first page. The live results tell you what it really takes.

Frequently Asked Questions

What is a B2B SEO strategy?

A B2B SEO strategy is a plan for getting a business-to-business company’s pages ranked on Google and its brand recommended in AI tools like ChatGPT, for the searches and questions its buyers use. It covers keyword research, money pages, a blog, technical fixes, backlinks, brand mentions and reporting tied to leads.

How is B2B SEO different from B2C SEO?

B2B keywords have far lower search volume, but each lead can be worth a lot more, so a 20-search keyword can matter. Buyers research longer, involve more people, and increasingly do that research in AI tools before they ever visit a vendor’s website.

Do backlinks still matter for B2B SEO in 2026?

Yes. Backlinks are still the main reason a page reaches page one of Google, and pages that rank are the pages AI tools read. For AI recommendations, though, brand mentions on listicles, review sites and forums matter more than the link itself.

How do I get my B2B company recommended by ChatGPT?

Track the prompts your buyers would type, look at which pages ChatGPT uses to answer them, and get your brand onto those pages or publish better ones. Add reviews, publish on LinkedIn and Medium, and make sure your own pages state clearly who you serve and what you do.

How many blog posts should a B2B company publish?

There’s no magic number. A steady handful of strong posts a month beats a burst of hundreds. Match the length of what ranks, and make sure every post answers a question your buyers actually ask.

Should I run Google Ads while SEO ramps up?

Usually, yes. Ads bring leads while organic rankings build, and they show you which keywords convert before you spend months trying to rank for them.

Key Takeaways

• Build the B2B SEO strategy from your qualified leads, ad search terms and sales calls before you open a keyword tool.
• Target the words your buyers use, including small keywords that can bring in big projects.
• Check page one yourself; difficulty scores are guesses.
• Map each keyword group to one money page, build one great template, then clone it with genuinely unique copy.
• Point backlinks at specific pages, a few a month, from sites with real traffic.
• Start getting your brand onto listicles, review sites, LinkedIn and Medium in month one, because that’s what AI tools read.
• Report leads and AI visibility by page group, not total traffic.

Conclusion

The core of a B2B SEO strategy hasn’t changed as much as people think. You still need the right keywords, pages that deserve to rank, and links that get them there. What changed is the last mile. Your buyer now asks an AI tool before they ask you, and that tool decides who makes the shortlist based on what it can find about you across the internet. The companies that win in 2026 and 2027 run both sides of the plan together: rankings on Google, and mentions everywhere the AI tools look.

If you’d rather not build all of this alone, I work as an SEO consultant with a team behind me, at my agency, Nine Peaks Media. I handle the strategy, and my team does the writing, publishing, link building, citation building and Reddit work. I help B2B SaaS companies, construction and fintech software companies, IoT connectivity providers, healthcare IT companies and IT services firms get found in Google and recommended in AI search. If you want a second opinion on your B2B SEO strategy, you can book a free strategy session and I’ll walk you through what I’d do first.