A practical guide to AI search for B2B companies
AI search work is most useful when it improves the information a buyer can find and trust about your business. Start with a specific buying decision, then make your expertise and evidence accessible across the pages that support it.
The useful starting points
- Research buying decisions before collecting prompts.
- Make service scope and supporting evidence easy to evaluate.
- Measure citations, recommendations and opportunities separately.
Start with a buying decision
A useful research brief names the buyer, the problem, the alternatives and the constraints. “AI visibility” alone is too broad to guide content. A cybersecurity vendor might focus on security leaders comparing managed detection services; a manufacturer might focus on engineering teams selecting a supplier for a defined tolerance or operating environment.
Ask sales which questions appear before a serious evaluation. Group them into problem diagnosis, solution category, supplier comparison, implementation and commercial justification. Keep a record of the original question and the evidence that would help someone answer it.
Illustrative research question: “How should a mid-market manufacturer assess a supplier’s ability to support an automation retrofit?” The content brief should cover compatibility, engineering support, implementation risk and procurement evidence.
Establish the technical and editorial foundation
Google’s current guidance connects AI visibility to its existing search and quality systems. It does not require special AI markup, a particular page length or llms.txt. For Qognition, the practical response is to prioritize readable, discoverable pages with original substance over a separate set of pages written only for bots.
Audit the actual destination a buyer sees. Can they understand the service, identify the intended customer, find relevant proof and take a sensible next step? The same audit should inspect response status, canonical signals, internal links, rendering and accidental indexing restrictions.
Build a useful evidence set
Match evidence to the claim. A delivery process needs a clear description of responsibilities and outputs. A performance claim needs a source, time period, measurement definition and permission to publish. A service comparison needs explicit criteria and an honest account of tradeoffs.
If a relevant case study is unavailable, publish a worked example or methodology and label it accurately. Do not recast an unrelated client’s results as proof for a new niche. Expert interviews, original checklists and documented decision frameworks can be useful without invented success metrics.
- One commercial page for the primary service and buyer need.
- Supporting explanations for implementation, evaluation and cost questions.
- A consistent company identity and truthful team information.
- Relevant third-party coverage or references earned through useful work.
Separate visibility from business impact
A page can be cited as a source without the company being recommended. A company can be mentioned without receiving a referral visit. Track these events independently instead of combining them into one ambiguous AI score.
Create a fixed set of commercial prompts and record platform, date, market context and repeated observations. Label the sample size. Connect attributable visits to landing-page actions and CRM outcomes where possible, while accepting that a buyer may return later through another channel.
Choose the next action from the evidence
If the page is inaccessible, fix access first. If it is visible but answers the wrong question, revise the content and internal linking. If it attracts relevant visits but few qualified enquiries, examine the offer, proof and conversion path. Each problem calls for a different intervention.
Review the work with sales. The most useful result is not merely more mentions, but a clearer route from the right buyer’s research to a well-qualified conversation. No agency can guarantee how a search engine or AI system will rank, cite or recommend a business.