Be the Firm AI Names
Ask an AI assistant to recommend a specialist, an advisor for a captive insurance question, an accountant who knows manufacturing R&D credits, and it names names. The names come from entity data and third-party sources: who is verifiably credentialed, who is cited, who is described consistently across the places the model trusts. Firms with real expertise and thin digital entities lose these answers to louder competitors, and never see it happen.
What changes at this scale
Expertise must be machine-verifiable
A model cannot weigh reputation it cannot resolve. Credentials, bar and board records where public, publications, speaking history and consistent naming across sources are what let a model state with confidence that your practitioner is a real authority on the niche.
Niche questions are where firms win
No mid-size firm will be the answer to who is the best consultant. The winnable answers are the specific ones, the exact specialisms the firm owns, and those are also the questions where the asker has budget and urgency.
Third-party mentions carry the weight
Models lean on what others say: industry publications, professional directories, association listings, podcast and conference appearances. This is closer to PR than to SEO, and a firm's partners usually already have the raw material sitting unclaimed.
Referrals now get a second opinion from a model
The referred prospect who used to just Google you now also asks an assistant. If the model has never heard of the firm, or describes it vaguely, the warmest channel a firm has quietly cools.
Everything you get
- Baseline scan of what the major models say about the firm and named rivals
- Tracked prompt set built from the questions your buyers actually ask
- Practitioner entity work: credentials, publications, consistent data
- Placement work in the directories and publications models cite
- Specialism content structured into quotable, specific passages
- Person and Organization schema wired to the entity work
- Correction of stale or wrong statements at their sources
- Quarterly citation share reporting against a named competitor set
Common questions
Our niche is tiny. Does AI visibility matter for us?
Small niches are where it works best. Broad questions have entrenched answers; narrow ones often have no established answer at all, and the first firm to be consistently citable for the niche tends to own it. If four hundred people a year ask models about your specialism and your average engagement is five figures, owning that answer is a serious channel.
Partners are private people. How much exposure does this need?
Less than it sounds. The core is factual and already public or semi-public: credentials, firm role, professional history, published work. Nobody needs a personal brand or a posting habit. What is needed is that the facts exist consistently in the places machines read, which is mostly a cleanup and markup exercise.
How is this different from the SEO work you also sell?
It overlaps and we price it that way rather than as two retainers. The divergence: AI answers weigh third-party sources and entity resolvability more heavily than your own rankings, and measurement is a tracked prompt set rather than positions. For most firms this runs as a layer on the SEO engagement, not a separate programme.
Want a straight read on where you actually stand?
Book a free assessment. We will have looked before the call, and you keep the findings either way.