This Is LD
This Is LD
This Is LD
Lacoudhir Design LTD
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AI Visibility Strategy

AI visibility and GEO for enterprise brands that need to be found before the buyer visits their website.

Google classifies healthcare content as YMYL (Your Money Your Life) and holds it to a higher standard of expertise, authoritativeness and trustworthiness before ranking it. Most medical SEO companies optimise for keywords. We are medical SEO specialists and healthcare SEO consultants who build programmes around E-E-A-T signals for hospitals, clinics, MedTech companies and health brands where healthcare SEO performance is a commercial priority.
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ChatGPT

Citation strategy
Prompt-tested

Perplexity

Earned media signals
Source authority

Google AIO

AI Overview
Citation programme

Copilot

Firewall-deployed
Enterprise AI coverage

0
%
of B2B buyers now use AI tools in their purchase process Forrester Buyers Journey Survey, 2026
0
%
of enterprise buyers use Microsoft Copilot, 36% behind a corporate firewall, invisible to your analytics
0
%
of Google AI Mode citations do not appear in the top 10 organic search results
0
x
higher AI citation rates for brands with 10 or more tier-one earned media placements
HYPER-FOCUSED FUEL

How do we get found by buyers who are using AI tools to research vendors before they ever visit a website?

For healthcare, financial services and enterprise technology brands, being cited by AI engines is not just a visibility challenge. It is a compliance challenge.
An AI tool that cites your medical device company inaccurately, misrepresents your financial services credentials, or attributes clinical claims your products cannot support creates regulatory risk, not just marketing noise. We build AI visibility programmes where citation accuracy and compliance are design constraints, not afterthoughts.
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As a leading provider of the ground-breaking treatment of depression, Deep TMS therapy, Achieve TMS East values and understands the importance of an effective marketing strategy. Marketing engages our audience and educates our potential patients to the benefits of deep TMS therapy. Recognizing this, we searched for a marketing company that would engage our prospective patients through thoughtful content, dynamic graphics and marketing acumen. We choose LD, and they were an excellent choice. Lisa and her team at LD developed insightful digital marketing campaigns, that were on deadline and on budget. Their impactful digital designs and target marketing increased our web traffic by 66% which resulted in increased patient volume. We highly recommend LD for all your marketing needs.

Anita Taylor

Director of Marketing, Achieve TMS East

SECTOR EXPERTISE

AI visibility and GEO services.

AI Visibility Audit

A structured assessment of your current AI citation presence across ChatGPT, Perplexity, Google AI Overviews and Microsoft Copilot. We run the prompts your buyers actually run when researching your category, document whether and how your organisation appears, assess the accuracy of AI-generated descriptions, identify the gaps between your citation presence and your nearest competitors, and produce a prioritised programme to close them. Available as a standalone engagement or as the first phase of an ongoing AI visibility programme. Typical turnaround: two to three weeks.

GEO Content Strategy

Generative engine optimization content strategy built around the specific prompts your enterprise buyers run during vendor research. We map the question landscape for your category, identify the content gaps that prevent AI engines from citing your organisation confidently, and develop a structured content programme to close them. GEO content strategy for regulated industries includes compliance review at the planning stage: what can and cannot be claimed in AI-cited content about your healthcare products, financial services, or technology capabilities.

Structured Data and Schema Implementation

FAQPage schema, Service schema, Organisation schema and sector-specific structured data that allows AI engines to parse your content accurately and include it in relevant responses. AI engines cite content more consistently when structured data provides explicit entity definitions: what your organisation is, what it does, who it serves, what credentials it holds and where it operates. Schema implementation for regulated industries includes compliance-aware entity definitions that describe your organisation accurately without overstating capabilities that could create regulatory exposure.

Earned Media and Authority Programme

The AI citation signals that owned content alone cannot build. Third-party citations in authoritative publications, healthcare trade press, financial services media, enterprise technology journals, are the highest-weight signals that AI engines use when deciding whether to cite a brand. We build earned media programmes specifically designed to generate the tier-one placements that produce 4 to 7 times higher AI citation rates. PR strategy, journalist relationships and editorial placement in the publications your buyers read and AI engines trust.

Firewall AI Coverage

68% of enterprise buyers use Microsoft Copilot. 36% use a private instance behind their corporate firewall. That tool draws on Bing's web index and internal documents. An enterprise buyer running a vendor research brief inside Microsoft Teams never visits your website, yet the output shapes their shortlist. We build the Bing-indexed content, entity signals and structured data that feeds Microsoft Copilot responses, alongside the ChatGPT, Perplexity and Google AI coverage that most GEO programmes address. Enterprise AI visibility requires covering the firewall layer, not just the public search layer.

AI Citation Monitoring and Management

Ongoing monthly monitoring of your AI citation presence across all major platforms: citation frequency, citation accuracy, competitive share of voice in AI responses, and identification of inaccurate or outdated AI-generated descriptions that require correction. For regulated industry clients, citation accuracy monitoring is particularly important, an AI engine that describes your pharmaceutical product incorrectly, misrepresents your financial services regulatory status, or attributes clinical claims inaccurately creates compliance risk. Monthly reporting and quarterly programme reviews included.

What determines whether AI engines cite your organisation.

AI citation is not random and it is not simply correlated with web traffic or search rankings. The signals that determine citation are specific, addressable and different from traditional SEO.
01.

Structured Data and Schema

FAQPage, Service, Organisation and sector-specific schema tell AI engines what your organisation is and what it does. Without structured data, AI engines must infer your category, capabilities and credentials from unstructured text, and they frequently infer incorrectly. Structured data is the foundation of accurate AI citation.
02.

Named Authorship and E-E-A-T

Content attributed to named individuals with verifiable credentials is cited at significantly higher rates than equivalent content with generic authorship. AI models assess Experience, Expertise, Authoritativeness and Trustworthiness before citing health and financial content, and named, credentialed authorship is the primary signal they use to make that assessment.
03.

Topical Authority and Depth

AI engines preferentially cite organisations that have demonstrated deep, comprehensive coverage of a topic cluster, not organisations with a single page on a subject. A healthcare marketing agency with 15 articles covering medtech strategy, healthcare SEO, clinical content marketing, medical device PR and healthcare compliance demonstrates the topical depth that produces consistent citation.
01.

Earned Media and Third-Party Citation

AI engines do not only read your website. They synthesise information from across the web, weighting authoritative third-party publications significantly higher than owned content. Brands with consistent coverage in recognised trade publications are cited 4 to 7 times more frequently than brands with equivalent owned content but no third-party presence.
02.

Content Freshness

AI-cited content is 25.7% fresher on average than organic search-cited content (Ahrefs, 2026). Regularly updated content, existing articles refreshed with current data, regulatory references and examples, is more likely to be cited than content that has not been updated in twelve months. For regulated industries, outdated regulatory information is also a citation risk rather than just a ranking risk.
03.

Entity Consistency

AI engines build their understanding of an organisation from multiple sources simultaneously. Consistent entity definition, consistent description of what you do, who you serve, where you operate and what credentials you hold, across your website, LinkedIn, Google Business Profile, trade press mentions and directory listings allows AI engines to cite you confidently and accurately. Inconsistency produces inaccurate or absent citation.
SECTOR EXPERTISE

AI visibility for regulated industries.

Healthcare and Medtech

Healthcare content is classified as YMYL by Google and held to stricter quality standards before AI citation. Clinical accuracy, named author credentials, regulatory compliance markers and organisational trust signals all affect citation probability for healthcare organisations. AI visibility for healthcare requires building these signals systematically, not as a compliance exercise but as the foundation of a citation programme that AI engines can trust and cite with confidence. We build healthcare AI visibility programmes alongside MHRA and FDA-aware content strategy.

Healthcare AI

Enterprise Technology and SaaS

Enterprise technology buyers are among the heaviest users of AI research tools, and the most likely to be running research through corporate-provisioned Microsoft Copilot behind a firewall. AI visibility for enterprise technology requires covering both the public AI search layer (ChatGPT, Perplexity, Google AI Overviews) and the enterprise firewall layer (Microsoft Copilot, Bing-indexed content) simultaneously. We build AI visibility programmes for technology companies targeting enterprise procurement teams and C-suite decision-makers.

Technology AI

Financial Services and Fintech

Financial services content must be fair, clear and not misleading under FCA standards, and AI-cited financial content carries the same accuracy obligation as any other financial promotion. An AI engine that cites inaccurate claims about a financial services firm's regulatory status, returns track record or product capabilities creates regulatory exposure for the firm being described. AI visibility for financial services requires citation accuracy management alongside citation frequency optimisation.

Finance AI

Education and Edtech

University and edtech brand research increasingly begins in AI tools, prospective students asking ChatGPT to compare programmes, institutional buyers asking Perplexity to evaluate edtech platforms, HR and L and D teams asking AI to summarise enterprise learning solutions. AI visibility for education organisations covers both consumer-facing programme discovery and B2B institutional buyer research. We build AI citation programmes for universities, edtech platforms and education organisations competing in AI-mediated discovery environments.

Education AI

How we build AI visibility programmes.

01.

AI Visibility Audit

Prompt testing across ChatGPT, Perplexity, Google AI Overviews and Microsoft Copilot. We run the category, evaluation and validation queries your buyers use, document your current citation presence and accuracy, assess competitor AI share of voice, and identify the content, earned media and structured data gaps that are suppressing your citation rate. The audit produces a prioritised programme with clear milestones and measurable targets.
02.

Content and Compliance Strategy

AI citation programme design, content gaps to close, FAQ schema to implement, earned media targets to pursue, entity signals to build. For regulated industry clients, compliance review at this stage maps what can be claimed in AI-cited content: what MHRA and FDA guidance permits in healthcare content, what FCA fair presentation requires in financial content, what accuracy standards apply to pharmaceutical citations. The programme is designed within those parameters from the outset.
03.

Programme Delivery

Content production to GEO standards, schema implementation across relevant pages, earned media programme for tier-one publication placements, entity signal building across web properties. For clients on a combined SEO and AI visibility retainer, the GEO programme integrates with the broader content and search programme rather than running alongside it separately. The same content assets serve both traditional organic search and AI citation objectives when built correctly.
04.

Monthly Prompt Testing and Reporting

Monthly AI share of voice measurement across agreed prompt sets, the category queries, evaluation queries and validation queries relevant to your sector. Documentation of citation frequency, citation accuracy, position within AI responses and competitive changes. Quarterly programme reviews that update the prompt library, add new citation targets and adjust content and earned media priorities based on what the data shows is working and what is not. AI visibility is a measurable discipline, not an opaque process.
KNOWLEDGE SECTION

Frequently Asked Questions

What is generative engine optimization (GEO) and how is it different from SEO?
Healthcare SEO operates under Google’s YMYL (Your Money Your Life) classification, which means Google applies a stricter quality evaluation to healthcare content than to most other content categories. The E-E-A-T framework — Experience, Expertise, Authoritativeness and Trust — is applied more rigorously to health content because inaccurate or misleading health information has real-world consequences for people making health decisions. In practice, this means: healthcare content without named author attribution and verifiable clinical credentials is at a structural disadvantage compared to content with these signals; backlinks from clinical publications, NHS pages and regulatory bodies carry more weight than links from general websites; content accuracy and the presence of clinical review markers affect how Google’s quality raters assess the overall credibility of a healthcare website. A healthcare SEO strategy that ignores these signals and focuses only on keyword density and link volume will systematically underperform in health search.
Regulated industries face a more acute version of the AI visibility challenge for two reasons. First, AI platforms apply stricter quality standards before citing content about healthcare, financial services and pharmaceutical topics, Google’s YMYL (Your Money Your Life) classification and the E-E-A-T framework mean health and financial content must demonstrate verified expertise, named authorship and organisational credibility before AI engines will cite it. Generic content that would rank adequately in a non-regulated category may be systematically undercited in a regulated one. Second, citation accuracy matters more in regulated industries than in most others. An AI engine that misrepresents a medical device company’s clinical evidence, overstates a pharmaceutical company’s product capabilities, or incorrectly describes a financial services firm’s regulatory status creates regulatory risk and reputational exposure for the firm being described. Getting cited accurately is as important as getting cited at all, which is why AI visibility programmes for regulated industries include compliance review and citation accuracy monitoring alongside citation frequency optimisation.
AI visibility is measured through regular prompt testing across the major AI platforms: ChatGPT, Perplexity, Google AI Overviews and Microsoft Copilot. We define a prompt library of 20 to 40 queries that mirror how your buyers research your category, category queries (“best healthcare marketing agencies UK”), evaluation queries (“compare marketing agencies for medtech companies”) and validation queries (“is [organisation name] credible for healthcare marketing”). Each prompt is run monthly across all platforms. We measure citation frequency (how often you appear), citation position (where in the response you appear), citation accuracy (whether the description is correct), and competitive share of voice (which competitors appear when you do not). We also monitor branded search growth, direct traffic trends, and any AI-generated referral traffic visible in analytics. AI visibility metrics do not replace traditional SEO metrics, they sit alongside them as a distinct performance dimension that becomes increasingly important as AI-mediated buying behaviour grows.
AI citation changes can be observed faster than traditional search ranking changes in some areas and slower in others. Structured data implementation produces measurable citation improvements within four to eight weeks in most cases, because it directly improves AI engines’ ability to parse and cite your content. Content gap closures, new FAQ content, new sector pages, new topical depth, typically produce citation improvements within six to twelve weeks. Earned media placements produce citation improvements as new articles are indexed and recognised by AI engines, typically four to twelve weeks after publication. Entity signal building across web properties produces more gradual but more durable improvements over a three to six month period. Realistically, a well-executed AI visibility programme produces measurable citation improvements within two to three months and significant share of voice gains within six to nine months. Brands that have invested consistently in topical authority and earned media over twelve to eighteen months have citation rates four to seven times higher than brands starting from a low base.
GEO works alongside SEO rather than replacing it, and the two programmes share significant common foundations. The content quality, structured data, E-E-A-T signals and topical authority that improve traditional search rankings also improve AI citation rates. A strong SEO programme that produces high-quality, deeply researched, accurately sourced and well-structured content is simultaneously a strong GEO foundation. The specific additions that GEO requires, earned media for third-party citation signals, prompt-specific FAQ content, entity signal consistency across web properties, and monthly prompt testing as measurement, are extensions of a good SEO programme rather than replacements of it. The most efficient approach for enterprise organisations is an integrated SEO and GEO programme where content assets are built to serve both objectives simultaneously, rather than separate programmes running in parallel. This is how we build it for clients who want both, the same content brief, the same editorial standards, the same distribution programme, with SEO and GEO objectives addressed as a single coherent goal.
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