The specialist AEO and GEO agency, with our own AI search monitoring platform. Focus vertical – Legal & Legal Tech.
We track how ChatGPT, Claude, Gemini and other LLMs describe your firm, chambers or platform, diagnose what is holding you back, then execute the answer engine optimisation work end to end. Built on AI monitoring tool we developed in-house and configure around your category, competitors and jurisdiction.
Clients now build their shortlist of solicitors, firms and legal tech inside ChatGPT and Claude before they ever land on your website.
Answer engine optimisation and generative engine optimisation are the layer where those shortlists get formed, and it is the layer where most law firms, chambers and legal technology providers have no presence, no data and no plan in place.
You rank on Google but you do not exist in AI search.
Search rankings and AI visibility run on entirely different signals, and ranking well on Google gives you almost no head start in AI search. Language models do not read search results pages. They draw on their training data, on third-party citations and on how clearly your firm or platform is described across the web, which means you can hold page one on Google and still be completely absent from ChatGPT, Claude and Gemini responses.
AI compares you to the wrong competitors.
You do appear in answers, just grouped with firms, chambers or platforms you would never describe as direct competition. The category and practice area signal you give off across your site and external sources is weak or contradictory, so language models default to placing you in the wrong comparison set. That happens at the exact moment a client is deciding who to instruct, which is arguably more damaging than not appearing at all.
Your practice areas and regulated status get described inaccurately.
AI models describe your specialisms, regulated status and jurisdictional reach based on what they have learned, and what they have learned is often outdated, incomplete or wrong. Practice areas get misattributed, regulatory status gets left out or confused, and jurisdictions you do not cover get implied. All of this is shaping how clients perceive your credibility before you have had a chance to say a word about it.
Your visibility swings between queries.
You show up in some AI responses and are not present in others, even for near-identical prompts. Your brand signal is too inconsistent for AI systems to include you with confidence, so two clients who phrase the same question slightly differently end up with two completely different shortlists, and yours often only makes one of them.
The signals that decide whether AI recommends you.
Legal is a high-trust, jurisdiction-specific and risk-sensitive category, and it has a particular set of signals that drive visibility in AI search and the accuracy of how AI describes you. These are the six we track, diagnose and improve through our monitoring platform.
01
Competitive set accuracy.
Which firms, chambers or platforms is AI grouping you with, and are they the competitors that actually matter for your practice? When the grouping is wrong, you are being evaluated in the wrong context and very likely losing to alternatives a client would never have considered if they had asked the right question.
02
Practice area and category positioning.
Does AI understand your role correctly? Law firm, barristers' chambers, legal consultancy, contract automation platform, e-discovery tool, compliance provider and legal research system are each evaluated differently, and when language models cannot confidently place you in one, they tend to leave you out altogether.
03
Regulatory and credibility signal accuracy.
Are your regulated status, solicitor or barrister profiles, professional registrations, accreditations and client reviews described correctly across AI responses? Legal is a trust-first category, and weak or missing credibility signals are one of the fastest ways to be excluded from a shortlist altogether.
04
Jurisdictional and geographic accuracy.
Are the countries, cities, courts and legal systems you operate in described correctly, along with the languages and client types you serve? Jurisdictional errors are one of the most damaging failure modes in legal AI visibility, because a client acting on the wrong information may be misled about whether you can even help them.
05
Client and use case fit.
Do AI responses connect your firm or platform to the client scenarios that actually convert? Presence in answers to "immigration lawyer in a city" or "contract review platform for SMEs" is the point at which AI search starts feeding genuine instructions rather than vanity impressions.
06
Share of Voice versus key rivals.
How often do you appear against the three to five competitors who matter most? Share of Voice in AI search is the most direct read on how likely you are to be recommended, and it tends to be a leading indicator of instruction volume a quarter or two ahead of the funnel.
A monitoring platform that is built around your legal category. We do not offer just a generic template.
We built our own AEO monitoring platform in-house, and we configure it around your firm or platform, category, competitive set, positioning and the queries your clients actually run. The competitors we track are the ones you actually compete with, and the metrics we surface map to how AI search visibility translates into instructions in your specific niche.
We are a full-cycle agency, which means we do not hand over a dashboard and walk away. We analyse, we diagnose, we build the roadmap and we execute, either alongside your team or as a fully outsourced function.
Custom prompt library.
Tell us the segments you want to monitor, generate prompts automatically and pick the ones that fit, or upload your own. You get a fully configured AEO monitoring dashboard built around the segments that matter to your practice, not a default one.
Configurable Niche metrics.
Mention Rate, Share of Voice, Average Rank, Competitive Set Accuracy, GEO Score and several others, all weighted and reported against the goals you actually care about. The dashboard is customisable from the ground up, so the view your team logs into reflects how your firm measures success.
Adjustable competitor lists.
Nobody knows your real competitor set better than you do, and AI knows even less than that. You can adjust the firms or platforms you want to monitor and benchmark against at any time, on your terms and at the cadence that suits your practice.
Full setup support by our team.
As a full-cycle AEO and GEO agency, we are involved from step zero. We set the tool up, tailor it to your category and jurisdiction, and guide you through prioritising the GEO initiatives that will move the needle first. Execution can run with your team, with ours, or with a blend of both, depending on the bandwidth and capabilities you have in-house.
Execute with your team or with our support, depending on your internal capabilities.
We adapt monitoring and AEO implementation to your category, internal metrics, and workflows.
We adapt monitoring and implementation to your category, your internal metrics and the workflows your team already uses. Strategy, execution and our in-house monitoring platform run as one engagement, so the work shows up in AI search visibility you can actually measure.
4 STEPS
AEO monitoring,
Monitor AEO – if & how you appear in AI search:
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mention rate,
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share of voice,
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brand attribute signals,
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topic coverage matrix,
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brand & source co-occurrence,
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your brand GEO score & dynamics,
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& any other tailored criteria.
Learn how AI systems describe:
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your firm, chambers or platform & regulated status perception,
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practice area accuracy,
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jurisdictional and geographic accuracy,
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credibility and trust signal strength,
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client fit,
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& not limited to.
1
GEO readiness,
Analyse your GEO readiness:
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own resources programming layer,
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own resources content layer,
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third party presence,
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citations.
Check competitor visibility:
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who gets recommended,
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in what contexts,
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with which attributes,
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how positioning changes over time.
Understand which sources influence AI outputs:
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review platforms,
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media mentions,
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legal directories,
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forums, Reddit, LinkedIn,
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regulator registers, knowledge bases, etc.
2
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quick-win identification,
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authority signal prioritisation,
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content & documentation recommendations,
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external visibility opportunities,
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phased execution framework,
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our team support,
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dynamics tracking.
Get a 90-Day GEO Roadmap.
3
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website & semantic structure recommendations,
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practice area and service pages optimisation,
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docs & knowledge base optimisation,
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AI-oriented content strategy,
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content creation & placement automation,
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review platform visibility increase,
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external mentions & authority building,
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Reddit, LinkedIn & community presence,
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competitive positioning optimisation.
Enjoy Generative Engine Optimisation Support
4
What GEO fixes look like in practice.
These are the patterns that come up repeatedly across legal and legal tech engagements. The specifics shift from category to category, but the mechanics behind the fix stay consistent.
"We appear in AI answers but we are grouped with legal tech tools we don't actually compete with."
Correcting the competitive set.
GEO Fix:
This usually points to inconsistent category signals across owned properties and third-party mentions. When the language describing a firm or platform differs between the website, legal directories, LinkedIn and third-party press, AI models draw from contradictory inputs and fall back on generic groupings. The fix involves aligning category and practice area language across all surfaces, building comparison pages that target the right queries and updating directory and third-party profiles to reinforce the correct positioning.
What to expect: AI models begin grouping the firm or platform with the correct competitors. With consistent signals in place, the shift typically becomes measurable within six to ten weeks of going live.
"ChatGPT is describing our regulated status and practice areas incorrectly, and it's costing us in client evaluation."
Fixing regulatory and practice area signals.
GEO Fix:
Thin or inconsistently structured practice area pages rarely get cited by external sources, so AI models fill the gaps with outdated information inferred from directories and competitor content. The fix is rebuilding practice area and regulatory pages as citable, structured content with FAQ schema, correcting listings on legal directories and regulator registers, and distributing accurate information through trusted third-party channels.
What to expect: practice area and regulatory descriptions in AI responses improve as the new content gets indexed and picked up by external sources. The process is gradual, typically four to eight weeks before the change is visible in monitored responses.
"We never appear when someone asks AI for a recommendation in our jurisdiction."
Building jurisdictional presence from zero.
GEO Fix:
Strong SEO performance does not automatically translate to AI presence. When brand and jurisdictional signals are too thin or too scattered, language models cannot include a firm or platform in shortlists with any confidence. The fix involves building jurisdiction and practice area landing pages around consistent terminology, creating comparison and "best solicitor for" content targeting high-intent prompts and expanding external authority through legal directories, professional bodies and reputable media.
What to expect: jurisdictional presence builds incrementally. Firms starting from near-zero visibility typically see measurable improvement in AI-generated shortlists within eight to twelve weeks of a coordinated push.
"Our visibility across ChatGPT and Claude swings wildly from one query to the next."
Stabilising multi-LLM visibility.
GEO Fix:
When different language models return different descriptions and different competitive sets for near-identical queries, the root cause is usually semantic inconsistency across the website, metadata and external mentions. The fix involves standardising terminology, improving internal linking between related practice areas and setting up continuous monitoring across ChatGPT, Claude and Gemini to track variations and respond to them as they emerge.
What to expect: stability improves as the underlying signals become more consistent. Monitoring is essential here, without a baseline across multiple LLMs, it is difficult to tell whether changes are having any effect.
Who we work with:
Our AEO and GEO work spans law firms, solicitors' practices and barristers' chambers, corporate and commercial law teams, employment, immigration and family law practices, dispute resolution and arbitration providers, IP and tax and legal advisory firms, compliance and regulatory technology providers, contract automation and legal AI platforms, e-discovery and legal research software, and case management and document review tools.
In marketing since 2009. In AI search since it became a category.
Our team has worked with international brands across SaaS, e-commerce, fintech and professional services for over fifteen years, originally as ContActive Tech Communications.
Today, that same senior team applies its strategic and technical expertise to answer engine optimisation, generative engine optimisation, and AI search visibility.