The specialist AEO and GEO agency, with our own AI search monitoring platform.
Focus vertical – Web3 & Crypto.
We track how ChatGPT, Claude, Gemini and other LLMs describe your exchange, wallet, protocol or infrastructure layer, diagnose what is keeping you out of "best crypto platform" answers, then execute the answer engine optimisation work end to end. Built on an AI monitoring tool we developed in-house and configure around your assets, networks, competitors and compliance context.
Investors and users now decide which exchange, wallet and DeFi protocol to trust inside ChatGPT and Claude long before they visit your website.
Answer engine optimization and generative engine optimisation are the layer where those trust decisions get shaped, and it is the layer where most crypto and Web3 brands 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 brand is described across the web, which means you can hold page one for "best crypto exchange" and still be completely absent from ChatGPT, Claude and Gemini responses.
AI sorts you into the wrong category of provider.
You appear in answers, just framed as the wrong kind of platform. Your exchange gets called a wallet, your custody product gets described as an exchange, your DeFi protocol gets lumped in with centralised platforms. The category signal you give off across your site and external sources is weak or contradictory, so language models default to the wrong framing at the exact moment a user is deciding which type of platform fits their needs, which is arguably more damaging than not appearing at all.
Your security posture gets described inaccurately.
AI models describe your regulatory status, custody model, supported jurisdictions, security certifications and audit history based on what they have indexed, and what they have indexed is often outdated, incomplete or wrong. A regulated exchange gets described as unregulated. A non-custodial wallet gets described as custodial. KYC, AML and proof-of-reserves records get omitted entirely. All of this is shaping what users and institutions expect before they ever reach your onboarding flow.
Your visibility swings between queries.
You show up in some AI responses and are missing from others, even for near-identical prompts. Your brand signal is too inconsistent for AI systems to include you with confidence, so two users who phrase the same question slightly differently end up with two completely different recommendations, and yours often only makes one of them.
The signals that decide whether AI recommends your platform.
Web3 and crypto have a particular set of signals that drive visibility in AI search and the accuracy of how AI describes your products. These are the six we track, diagnose and improve through our monitoring platform.
01
Trust, security and compliance coverage.
Are you surfacing in answers to the specific trust-and-safety queries that drive decisions: "most secure crypto exchange," "regulated crypto wallet," "best custody solution for institutions"? When the answer is no, you are missing the exact moment a user or institution converts an intent into a shortlist.
02
Category and product role accuracy.
Does AI correctly describe what you are: exchange, wallet, custody provider, DeFi protocol, blockchain network, bridge, analytics platform, compliance tool, payment provider or tokenisation platform? Categories overlap heavily, and when language models cannot confidently place you in one, learners comparing options across categories never see you in the comparison.
03
Regulatory and geographic fit.
Are you recommended to users in the right jurisdictions, regulatory frameworks and market contexts? Your registration status, restricted territories, MiCA, FCA or SEC licensing context and local consumer protection signals all shape which queries AI surfaces you for. Most providers leave this signal completely unmanaged.
04
Asset, network and product accuracy.
Do AI responses connect your platform to the assets, networks, fees, staking terms, custody model, smart contract audits, API documentation and liquidity profile that actually reflect your current offering? Presence in "best platform for X asset" or "lowest fee for Y network" answers is the point at which AI search starts feeding qualified users rather than general traffic.
05
Third-party source and audit presence.
Are you being recommended by the sources AI draws on most regulator registers, reputable crypto research, security audit reports, developer documentation, GitHub activity, ecosystem directories, institutional partner pages, app store reviews, trusted media and compliance listings? Absence from these surfaces is one of the most common root causes of low AI visibility in this category.
06
Share of Voice versus key rivals.
How often do you appear against the three to five providers that matter most in your segment and market? 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 user acquisition volume a cycle or two ahead of the funnel.
A monitoring platform that is built around your assets, networks and competitive set. We do not offer just a generic template.
We built our own AEO monitoring platform in-house, and we configure it around your products, categories, competitive set, positioning and the queries your users actually run. The competitors we track are the providers you actually compete with, and the metrics we surface map to how AI search visibility translates into user acquisition and institutional pipeline 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 assets, networks, use cases and compliance contexts 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 acquisition pipeline, not a default one.
Configurable Niche metrics.
Mention Rate, Share of Voice, Average Rank, Category Accuracy, Outcome Signal Strength, GEO Score and several others, all measured 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 business 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 providers you want to monitor and benchmark against at any time, on your terms and at the cadence that suits your acquisition cycle.
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 products and competitive segments, and guide you through prioritising the GEO initiatives that will move the needle this. 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 assets, 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 custody model and product category,
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regulatory status and jurisdictions served,
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supported assets and networks,
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security certifications and audit status,
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fee structure and staking terms,
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& not limited to.
1
GEO readiness,
Analyse your GEO readiness:
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own resources: technical 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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regulator registers and compliance listings,
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security audit reports,
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developer documentation and GitHub,
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crypto media and research platforms,
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ecosystem directories and institutional partners, etc.
2
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quick win identification,
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authority signal prioritisation,
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content and product page 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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product and asset page optimisation,
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compliance and trust content strategy,
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AI-oriented content strategy,
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content creation & placement automation,
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security audit and third-party presence,
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external mentions & authority building,
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developer 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 Web3 and crypto engagements. The specifics shift from platform to platform, but the mechanics behind the fix stay consistent.
"We appear in AI answers but we are described as the wrong type of provider."
Correcting the category framing.
GEO Fix:
When category signals are inconsistent across the provider's website, external profiles and third-party mentions, AI models draw from contradictory inputs and default to generic framing. A homepage that says "crypto platform," documentation that says "DeFi protocol" and reviews that say "exchange" all feed into the same problem. The fix involves aligning category language across owned and external surfaces, rebuilding product and service pages around consistent terminology, and updating developer documentation, ecosystem directory listings and media profiles to reinforce the correct positioning.
What to expect: AI descriptions of the platform become more consistent as aligned signals replace the contradictory ones. With corrections across owned and external sources, the shift typically becomes measurable within six to ten weeks.
"ChatGPT keeps saying we are unregulated when we hold licences in three jurisdictions."
Fixing compliance and regulatory signals.
GEO Fix:
When compliance pages are thin on detail about licensing status, registration numbers, jurisdictions served and regulatory frameworks in scope, AI models fill the gaps with assumptions drawn from competitor pages and older indexed content. The fix involves building structured content blocks with explicit regulatory data, adding FAQPage schema, publishing comparison content against unregulated alternatives and distributing the corrected information through regulator registers, compliance directories and trusted media channels.
What to expect: regulatory descriptions in AI responses improve as the structured content gets indexed and picked up externally. Four to eight weeks is a typical timeline before the correction becomes visible in monitored responses.
"We never appear when someone asks AI for a wallet recommendation in our target market."
Building geographic and product presence from zero.
GEO Fix:
Strong performance in one market does not automatically translate to AI presence in another. When geo and product signals are absent or too scattered, language models cannot surface a platform with any confidence. The fix involves building geo-specific landing pages around consistent terminology, creating "best wallet for" and "safest crypto exchange in" content targeting high-intent prompts, and expanding external authority through crypto media, app store reviews, developer forum contributions and ecosystem directory listings.
What to expect: geographic and product presence builds incrementally as signals accumulate. Providers starting from near-zero typically see measurable improvement in AI-generated recommendations 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 user queries, the root cause is usually semantic inconsistency across the website, metadata and external mentions. The fix involves standardising terminology around product category, custody model and compliance status, improving internal linking between related subjects and skill paths and setting up continuous monitoring across ChatGPT, Claude, Gemini and Perplexity to track variations and respond to them as they emerge.
What to expect: stability improves as the underlying signals become more consistent across sources. Monitoring is essential here as 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 centralised and decentralised crypto exchanges, custodial and self-custody wallet providers, cryptoasset custody and institutional trading infrastructure, DeFi protocols and staking platforms, stablecoin and crypto payment providers, blockchain analytics and compliance tools, smart contract audit and security firms, layer-1 and layer-2 ecosystems, Web3 infrastructure providers, tokenisation and real-world asset platforms, NFT and Web3 gaming platforms, and crypto tax and accounting 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.