The specialist AEO and GEO agency, with our own AI search monitoring platform. Focus vertical — Consulting & Advisory Services.

Generative engine optimisation, or GEO, is the work of getting your firm surfaced, described correctly and recommended inside answers from ChatGPT, Claude, Gemini and other AI tools. For consulting and advisory firms, this matters because prospective clients now use language models as the first filter when identifying who to bring into a project. By the time they reach your website, the shortlist is often already decided, and the firms inside that shortlist are the ones AI search consistently surfaces with accurate expertise, the right specialisation and a clear competitive position.

Answer engine optimisation (AEO) and SEO operate on different signals. SEO is about ranking pages on Google. AEO is about how language models describe your firm when a client asks for a recommendation. Google reads pages and links. Language models draw on training data, third-party citations, structured content and the consistency of how your expertise is described across the web. You can hold page one on Google for your specialism and still be invisible in ChatGPT and Claude responses, and in most consulting categories the firms that dominate AI search are not the ones that dominate Google.

No, and this is one of the most common misconceptions among consulting and advisory firms right now. AI tools do not read search engine results pages. They are not running a Google query in the background and summarising the results. They are generating an answer from training data, from cited sources they trust, and from how clearly and consistently your specialisation, credentials and competitive position are described across the web. Strong SEO gives you almost no head start in AI search, and many firms with weaker SEO outperform the category leaders inside ChatGPT and Claude.

The honest answer is that you cannot know from spot checks. Running a few prompts in ChatGPT tells you almost nothing, because language models return different answers to different users, in different sessions, with different phrasings of the same query. To get a reliable read on AI visibility you need continuous monitoring across ChatGPT, Claude and Gemini, across the prompts your actual clients run, against the competitive set that actually matters in your specialism. That is what our AEO monitoring platform does, and it is the starting point of every engagement we run.

This is one of the most damaging AEO problems for consulting and advisory firms, and the fix sits at the positioning-signal layer. Language models group firms by inference from the signals they pick up across your website, LinkedIn, directories and mentions in trade media. When those signals are inconsistent or thin, models default to the nearest generic grouping, which is almost never your real competitive set. Fixing it means aligning specialisation language across owned and external surfaces, building targeted comparison and case-study content and reinforcing the correct positioning on the platforms that AI search actually cites.

Yes, and it is one of the more straightforward GEO fixes once the underlying causes are identified. Inaccurate specialisation descriptions usually come from three places: thin or poorly structured service pages on your own site, outdated information on third-party platforms that AI tools cite often, and directory listings that categorise your firm loosely. The fix is a combination of rebuilding service pages as citable structured content, refreshing third-party listings, publishing case studies and technical thought leadership, and seeding accurate descriptions into the sources language models actually trust.

Because the specialisation signal across your content, positioning and external mentions is reading as broad management consulting to language models, even if your actual practice is highly specialised. AI tools infer specialism from language patterns: the terminology on your site, the case studies you publish, the credentials you highlight and the comparisons you appear in. When those signals point in different directions, models default to the broader, better-documented category, which is rarely the one that actually wins you the right engagements. Realigning the specialisation signal across owned and external surfaces is one of the highest-leverage GEO interventions for advisory firms.

Some changes show up in AI search within weeks. Documentation fixes, structured content updates and third-party listing corrections often surface in AI responses within four to eight weeks once language models re-index the affected sources. Deeper shifts, like correcting your competitive set or building category presence from a near-zero starting point, typically take eight to sixteen weeks of sustained work before they stabilise. Most consulting and advisory engagements we run start showing measurable movement on Share of Voice and competitive set accuracy inside the first 90 days.

Every engagement starts with AEO monitoring tailored to your specialisation, category, target clients and competitors, run through our in-house platform. From there we audit your GEO readiness across three layers (technical foundations, content and documentation, third-party presence and citations), identify the sources that are actually shaping AI answers in your category, and deliver a prioritised 90-day GEO roadmap. Then we execute, either alongside your team or as a fully outsourced function. The work covers website and semantic structure, service and practice-area pages, documentation, AI-oriented content, review platform visibility, external authority building and ongoing optimisation as AI search behaviour shifts.

You can run parts of it in-house, particularly if you already have strong content, marketing and business development functions. What is harder to build internally is the monitoring layer, the cross-LLM diagnostic capability and the pattern recognition that comes from running GEO across multiple consulting categories. Most of our clients run a hybrid model. We bring the monitoring platform, the diagnostic work and the category benchmarking, their team owns the content and service pages we recommend changes to, and we execute the external visibility and authority work together. That tends to be the fastest and most cost-effective way to get a consulting or advisory firm from invisible to consistently recommended in AI search.