AEO 101Single source of truth on AEO · Updated May 13, 2026Read it

For law, consulting, accounting, and agency firms

Be the firm AI recommends when buyers ask for an expert.

Buyers research firms with AI before reaching out. If AI doesn't surface your name when they ask for the best firm for their problem, you don't make their shortlist.

§01 Why AI search is reshaping professional services

The shortlist is being assembled before the buyer ever calls.

ChatGPT now serves more than 800 million weekly users. General counsel, finance leaders, founders, marketing chiefs, and HR leaders are running prompts about expert firms before any phone call happens. The shortlist that used to come from a partner referral or a slow Google search is now being assembled inside an answer engine in thirty seconds.

For professional services, the implication is direct. The buyer arrives with two or three firm names already in mind, all of them surfaced by AI. If your firm is not in that list, you are not pitching for the work. The traditional rainmaker path of relationships plus reputation still matters, but it now competes with a layer of AI-mediated discovery that runs in parallel.

The work is engineering the source pool AI cites for your category, getting your named partners into that pool with a specific credible story, and managing the directory and trade-press surfaces that decide which firm names get surfaced.

§02 What we do for professional services firms

Five lines of work, run weekly, owned by us.

We sit alongside the firm's BD, marketing, and knowledge functions. Partner positioning, client relationships, and pitch work stay with you. The AI visibility layer is our remit, delivered on a fixed weekly cadence.

01

Expert and practitioner positioning across answer engines

Buyers ask AI for named experts before they ask for firms. We engineer named-practitioner presence in the surfaces AI cites: bylined publications, conference programs, podcast appearances, and category-defining writing. The practitioner becomes the answer, and the firm follows.

02

Industry directory citation work

Each professional services category has a small set of directories and ranking publications AI weights heavily: Chambers and Legal 500 for law, the consulting and accounting rankings for management firms, the agency reports for marketing. We work entries, descriptions, and category placement on the directories that decide the answer pool.

03

Thought-leadership feeding AI source pools

Original analysis, frameworks, and named research are the durable citation assets for professional services. We commission, place, and structure the writing so it gets cited at a higher rate, and we keep the assets refreshed because AI weights freshness inside a thirty- to ninety-day window.

04

Partner comparison and competitor citation work

Buyers ask AI for comparisons between named firms before they reach out. We engineer the comparison content and third-party validation that gets cited when a prospect runs your firm against a Big Four, a magic circle peer, or a category specialist.

05

Weekly category-share tracking by practice area

Firms are not monolithic. AI visibility moves by practice area: M&A, employment, tax, financial services advisory, brand strategy. We track citation share by practice on a weekly cadence and surface the practices where the firm is winning, losing, or sliding.

§03 The outcomes we commit to

Named results, written into the engagement letter.

We deliver results, not dashboards. The pilot pricing is built around it. You pay €500 per month for tools and APIs plus your direct media spend. We carry the team. At the end of the 90-day pilot, if we hit the goal we agreed on day one, the engagement converts on a €6,000 success fee and a €2,500 per month retainer thereafter. If we miss, you walk. No further obligation.

Firm-name recommendation rate on category prompts

The metric that decides whether you are on the shortlist. We commit to a measurable lift in the rate at which AI names your firm in the recommended set on your priority category prompts.

Named-partner citation share

AI cites named experts more readily than firms. We commit to a target citation share for the partners and practitioners you choose to position.

Directory and ranking source-pool inclusion

Each professional services category has a small set of directories AI weighs heavily. We commit to documented inclusion and stronger placement on the directories that decide your category.

Practice-area visibility by named speciality

Inside a firm, AI visibility differs by practice. We commit to a defined lift in citation share for the specific practice areas the firm chooses to prioritise.

§04 Who this is for

Managing partners and CMOs at firms where the buyer journey starts on a chat surface.

The typical engagement is a managing partner, CMO, or Head of BD at a firm between thirty and a thousand fee-earners. The firm has a working content program, named-partner profiles, and the relevant directory entries. The new question is whether any of that work is actually feeding the AI surfaces buyers now use to assemble the shortlist.

You usually come to us because of one of three triggers. A pitch loss came back with a competitor on the shortlist whose firm-quality logic was hard to explain. The partner group has started asking how the firm shows up in ChatGPT and the answer is not flattering. Or the firm has a new practice or geography to launch and needs AI source-pool presence before the BD activity begins.

§05 How we work

One framework, applied weekly. The methodology is public.

The work runs on the CITE framework. We comprehend the prompt set, influence the source pool, track citation and recommendation movement on a weekly cadence, and evolve the program as platforms shift. The research underneath is published openly.

§06 FAQ

The questions firm buyers ask before they engage.

How do AI systems decide which firms to recommend?
Models pull from a recurring set of sources for any firm-recommendation prompt. The pool usually includes the directories the category respects (Chambers, Legal 500, the consulting and accounting rankings), respected trade press, bylined practitioner writing in major publications, podcast and conference programs, and to a smaller extent the firm's own website. The model weighs the credibility of the cited sources, the freshness of the coverage, and the consistency of the firm's positioning across surfaces. A firm wins recommendation when its named practitioners appear inside the cited pool with a specific story, not when its site is rebuilt or its content marketing is increased in volume.
Does my industry directory listing matter?
Yes, and more than most firms assume. Directories like Chambers, Legal 500, Vault, and the various consulting and accounting rankings are among the most-cited sources for AI firm-recommendation queries because they carry the credibility AI looks for and the structured data AI can parse cleanly. A weak or unfilled directory entry is one of the most common reasons a firm shows up in an AI answer with a thin description, or not at all. Directory work alone will not make a firm the recommendation, but neglected directory work will keep it out of the answer pool entirely.
How do small firms compete with the big ones in AI answers?
Specialisation. Generic prompts (best law firm, best management consultancy) favour the largest firms because the source pool weights brand recognition and breadth. Specific prompts (best employment law firm for distributed teams, best fractional CFO for early-stage SaaS) draw from a narrower source pool where specialist credibility beats breadth. The path for a small firm is to identify the specific category prompts where it has a credible right to win, then engineer the source pool around those prompts. Trying to compete on the generic prompt is usually a losing game.
Do practitioner LinkedIn profiles affect AI citation?
LinkedIn surfaces are retrieved on some queries, particularly when the prompt names a specific individual or asks for an expert in a niche field. The bigger effect is indirect: LinkedIn is one of the surfaces AI uses to verify practitioner credentials and decide which named expert to surface. A weak LinkedIn presence does not directly demote citation, but it weakens the entity signal that makes a practitioner findable. We treat the platform as a credibility surface, not a content surface.
How do I show up for niche specialty queries?
Through specialist-source work. Niche queries draw from a narrower source pool than generic ones, so the citation lift is faster but the work is more precise. We map the specific publications, directories, conferences, and podcasts that cover the speciality, identify the cited sources currently winning the niche, and engineer practitioner presence on those exact surfaces. For most specialty queries, three to six months of focused source-pool work is enough to enter the answer pool reliably.

Ready to become the answer AI gives?

Book a 30-minute discovery call. We'll show you what AI says about your brand today. No pitch. Just data.