Become the expert AI can verify: a guide for consulting firms

1. Replace a broad discipline with a concrete client problem

Review five recent enquiries and identify the trigger that made the buyer act. “Strategy consulting” is a category. “Helping a European software company prepare for US market entry” is a buying situation. Define the client stage, geography and decision your engagement supports.

Build a short list of unbranded questions around that situation. Include comparison questions about in-house delivery, independent specialists and larger firms. Record the firms and sources that appear. You are trying to understand the evidence available to the buyer, not imitate every competitor’s positioning.

2. Show the engagement before asking for a call

Explain what information the client provides, what your team does and what the client receives. Name deliverables and decision points. State a typical duration only when you can support it and explain what changes the scope. Publish a price range or describe the factors behind a quote if fixed prices would mislead.

Include who the service is unsuitable for. A buyer who needs execution should not discover after three calls that you only provide advice. Be clear about subcontractors, geographic limitations and which work requires a separately qualified professional. This is also a useful test of whether your team can deliver what the page promises.

3. Make expertise traceable to people and work

Create biographies for the people responsible for delivery. Include current roles, relevant experience and credentials that can be verified. Distinguish personal employment history from a client relationship held by your firm. Do not use a former employer’s logo in a way that implies endorsement.

Publish one case study with client permission. Explain the initial problem, work performed, time period and outcome. Separate your contribution from the client team’s work. When confidentiality prevents detail, publish a clearly labelled hypothetical walkthrough or anonymised process example instead of inventing an impressive result.

4. Publish a guide that gives away useful judgement

Answer one decision the buyer must make before hiring anybody. Offer a readiness checklist, a comparison of delivery options or an example brief. Explain how to choose, what evidence to request and which warning signs matter. Readers should leave with an action they can take even if they never contact you.

Add original judgement from your practitioners, with limitations. For legal, tax or regulatory topics, scope the jurisdiction and have an appropriately qualified person review the material. This guide concerns marketing operations; it does not justify publishing personalised professional advice without the right expertise.

5. Build references and measure the right enquiries

Check profiles in associations and directories that genuinely apply to your practice. Correct old descriptions, missing locations and outdated personnel. Contribute expertise where there is a real audience and disclose your affiliation. Do not pay for an apparent independent award or review without understanding and disclosing its commercial nature.

Track whether AI descriptions match your scope and whether incoming leads fit the service. Ask prospects which material helped them decide. Keep mentions, citations, enquiries and signed engagements as separate measures. A smaller number of relevant enquiries can be worth more than broad visibility for the wrong service.

Your 30-day action plan

Use the month to build a baseline and ship useful improvements. AI answers may take longer to change, and results can vary between runs.

• Week 1 · Identify one repeat buying situation and baseline 10 client questions.
• Week 2 · Publish a service page with process, boundaries and responsible people.
• Week 3 · Add one permissioned case and a useful buyer checklist.
• Week 4 · Recheck descriptions and review enquiry fit with the delivery team.

Common questions