Inbound Lead Generation
Qualified Buyers Are Searching for What You Sell. They Are Not Finding You.
When a buyer types a question into Google, they get results. When they ask ChatGPT or Perplexity which vendor to consider, they get a list. If your company is absent from both, the conversation starts without you — and often ends without you too.
B2B SEO, Semantic SEO and Programmatic SEO
Most SEO programs fail B2B companies for a predictable reason: they treat all keywords the same. A buyer who has just recognised a problem searches very differently from a buyer who is comparing vendors and studying pricing signals.
MOTM builds keyword maps that cover six stages of the buying journey, from initial problem awareness through to vendor selection. Every question is assigned to a single page. That prevents competing pages from splitting authority and gives search engines a clear signal about what each page is for. Semantic SEO — structuring content so that search engines understand what a page is genuinely about, not just what keywords it contains — is applied throughout.
For companies with many services, industries, products or locations, Programmatic SEO provides a method for building pages at scale without publishing thin or near-identical content. Before any large rollout, we launch and measure 20 to 50 pilot pages. If the pilot data supports expansion, we proceed. If it does not, we adjust the template before committing further resources.
Every piece of content published through this program has one owner, one purpose and has passed three checks: accuracy, expert review and plain-language review.
Six-stage keyword mapping
Keywords are mapped across six stages of the buying journey — from the moment a buyer first recognises a problem through to the point where they are comparing vendors. Each stage gets its own content strategy, not a one-size approach.
One owner per question
Every question or keyword is assigned to a single page. This removes competing pages, concentrates authority and gives search engines an unambiguous picture of what each page covers.
Semantic SEO
Content is structured so search engines understand the real topic of a page — not just the presence of a target keyword. This matters especially for B2B categories where buyers use varied language to describe the same problem.
Programmatic SEO with pilot testing
For companies that need many pages across industries, products or locations, we build a tested template first. Between 20 and 50 pilot pages go live and are measured before any wider rollout. Zero thin or duplicate pages are knowingly published.
Expert review before publishing
100% of technical claims are reviewed by a subject-matter expert before any page is published. Accuracy is not a final check — it is built into the process from the first draft.
AI Visibility: AEO and GEO
A growing number of B2B buyers now start their vendor research by asking an AI tool a direct question. The tools return a short list. Buyers use that list to decide who to contact. In many cases, they do not visit a website until they have already formed a preference.
If your company is not in that list — or if it is described inaccurately — you lose consideration before the first conversation. This is not a future risk. It is happening now in most B2B categories.
Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) are the disciplines that address this. AEO focuses on how your company and its expertise are represented in AI-generated answers. GEO focuses on how the content you publish influences the way generative models describe what you do and who you serve.
MOTM tests AI visibility every month using a real prompt basket of 30 to 50 buyer questions, run across four tools. AI visibility is tested and optimised separately per market, because the same tool can return different answers for buyers in different countries. Measurement method is not hidden — it is documented and shared with you directly.
Monthly prompt basket testing
Each month, 30 to 50 real buyer questions are submitted to ChatGPT, Gemini, Perplexity and Claude. Results are recorded, tracked over time and compared against competitors.
Accurate representation, not just presence
Being mentioned is not enough if the description is wrong. We track how AI tools describe your services, your markets and your positioning — and work to correct inaccuracies through content and structured data.
Per-market testing
AI tools do not always return the same answers across geographies. Visibility is tested and optimised separately for each market you operate in.
Transparent measurement
The method we use to test and report AI visibility is documented and shared. We do not report a number without showing how it was produced.
Content and Authority Building
Content that generates qualified B2B leads is not the same as content that generates traffic. A buyer who downloads a generic industry overview and a buyer who reads a detailed answer to a problem they are actively trying to solve are not equivalent. Only one of them is close to an enquiry.
The content MOTM produces is built from the keyword maps and buyer research that underpin the whole inbound program. Before anything is written, we know which stage of the buying journey a piece of content serves, which role in a buying committee it is aimed at, and what question it needs to answer with enough accuracy to build confidence.
B2B purchases — especially considered ones — often involve several people. A technical evaluator, a commercial decision-maker and an end user may all consume content about the same product or service, but they care about different things. Content that treats all of them the same misses most of them. We map content to buying committee roles so that each piece has a specific job.
Every piece of content published under this program goes through three checks before it is live: an accuracy check, an expert review of all technical claims, and a plain-language review to ensure it reads clearly for a buyer who is not already a specialist.
Buying journey mapping
Every piece of content is placed against the six-stage buying journey map before it is briefed. Content written without this context tends to attract visitors who are not close to buying.
Buying committee focus
Different roles in a purchasing decision need different content. Technical evaluators, commercial leads and operational stakeholders each get content that speaks to what they actually need to know.
Three-check publishing process
Before any content is published, it passes an accuracy check, a subject-matter expert review of all technical claims, and a plain-language review. All three checks apply to every piece, without exception.
100% expert review of technical claims
Any claim that requires specialist knowledge is reviewed by someone with that knowledge before the content goes live. This protects credibility and ensures that the content can hold up to scrutiny from a technically informed buyer.
Authority building, not traffic generation
The goal of the content program is to establish your company as a credible, visible answer to the questions your buyers are asking — and to connect that visibility to enquiries, not just page views.
What Success Looks Like — and How It Is Measured
Rankings and traffic are not business outcomes. They are inputs. A company can rank on page one for a category term and still see no qualified enquiries if the keyword attracts the wrong visitors or the offer does not match what buyers are looking for at that stage.
MOTM reports inbound performance through one unified report that covers rankings, AI mentions, leads, meetings and pipeline together. The connections between these numbers are shown, not assumed. If rankings are improving but leads are not, the report shows that — and the explanation is part of the conversation, not buried in a footnote.
The measurement method is shown in full. You can see which prompts were used in the AI testing, which keywords are tracked and why, and how a lead is defined for the purposes of the report.
One unified report
Rankings, AI mentions, leads, meetings and pipeline reported together in a single document.
Method shown, not hidden
Every metric comes with a clear explanation of how it was produced. No black boxes.
Commercial metrics first
Qualified leads, meetings booked and pipeline contribution are the primary measures. Rankings are leading indicators, not the end goal.
No invented benchmarks
We do not promise a fixed number of rankings improvements or AI citations. Performance is tracked honestly against a baseline.
Find Out Where You Stand
If you are not sure how visible your company is to qualified buyers — in search or in AI-generated answers — the free Search and AI Visibility Audit is the fastest way to find out. We will look at how your company appears across search and AI tools for the questions your buyers are actually asking. No obligation, no sales script.
Request a Free Audit
Tell us a bit about your company and we will come back to you with a clear picture of where you stand in search and AI-generated answers — and where the gaps are.