Your brand isn't invisible because of poor SEO. It's invisible because trust signals are missing. I'll measure exactly where trust is leaking, then fix the gaps that suppress growth, so AI models cite you and buyers choose you.
Get a complete audit across 19 trust signals, then systematically remediate the gaps that are costing you visibility and conversions.
Trust signals work for both audiences. AI models need structured data to cite you. Buyers need visible proof to choose you. I address both.
Every signal we fix becomes part of your brand's operating system. No ongoing dependency, no retainers. You own the roadmap and capability.
AI models and buyers both need to trust you before they'll recommend or choose you. Without visible trust signals, your brand stays invisible, no matter how good your product is. Here's what that costs you:
Buyers ask AI for recommendations and your brand doesn't appear. Competitors with stronger trust signals win by default, even when your offering is better.
Prospects land on your site but can't find clear pricing, credible expertise, or proof you're accountable. They leave to find brands that make trust obvious.
You can't scale if AI models won't cite you and buyers can't verify you. Trust infrastructure isn't optional anymore; it's the foundation of sustainable growth.
AI Trust Signals™ Optimisation makes trust visible, measurable, and fixable. I'll identify exactly where trust is leaking, prioritise what to fix first, and remediate the signals that matter most, so you show up when it counts and convert when you do.
Let's work togetherGet a complete trust audit across 19 signals, scored and categorised. You'll know precisely which gaps are suppressing your visibility and conversion, no guesswork, no vague recommendations.
I prioritise the 6–10 highest-impact trust signals and remediate them in weeks, not months. Pricing transparency, credible expertise, structured data, all signals that directly improve AI citation and buyer confidence.
Every signal fixed becomes part of your brand's operating system. No ongoing dependency, no retainers. You get the roadmap, the scores, and the capability to maintain it yourself.
Trust signals work across both audiences. AI models need structured data to cite you. Buyers need visible proof to choose you. We address both simultaneously.
Your trust score improves incrementally. You'll see the gaps close, the signals strengthen, and the impact on visibility and conversion become clear and trackable.
I measure your brand across 19 trust signals, identify the gaps suppressing growth, and systematically fix the ones with the highest impact. Every engagement is designed to build your trust infrastructure, not create ongoing dependency.
Advanced schema deployment (products, FAQs, how-tos) structured for machine readability
Answer-focused semantic structure so AI models can confidently extract and cite your content
Contact and about depth proving you're a real, accessible, verifiable entity
Verified NAP consistency (name, address, phone) across all platforms
Policy and ethics transparency with clear statements on privacy, terms, and accountability
On-page pricing transparency that pre-qualifies leads and enables AI to cite your costs
Authoritative outbound citations linking to trusted sources and academic research
Author and team pages with credible bios, credentials, and demonstrable expertise (E-E-A-T)
Educational content hubs and resource libraries signalling subject matter authority
Content freshness with visible publication and review dates proving accuracy and relevance
Public review score and volume across reputable platforms (G2, Capterra, Google)
Claims of industry recognition including awards, certifications, and media features
Case studies and testimonials providing direct social proof and validation
Brand values clearly articulated to build emotional trust and worldview alignment
Brand values clearly articulated to build emotional trust and worldview alignment
A straightforward process to turn trust into a measurable asset that drives both AI visibility and buyer confidence:
I'll run your brand through the AI Trust Signals platform, score all 19 signals, and identify exactly where trust is leaking. You'll get a clear breakdown of what's broken and what to fix first.
I'll prioritise and fix the 6–10 trust signals with the biggest impact on visibility and conversion. All of this will be built with ownership in mind, not another outsourced vendor relationship.
You'll receive the complete roadmap, before-and-after scores, and documentation for everything we've built. Your team can maintain and improve these signals independently, no ongoing dependency required.
AI Trust Signals™ Optimisation often becomes the foundation for Fractional Marketing Director or In-House Mastery work. You have the option of one-off engagements or retained support.
As a member of the AI Trust Signals Certified Implementation Network, I combine proprietary, data-driven blueprints with real-world experience working inside agencies and businesses. This means you get the exact remediation roadmap backed by AI Trust Signals' methodology, without the agency dependency.
Certified partners are rigorously vetted and trained to deploy AI Trust Signals' implementation blueprints. These aren't vague recommendations. They're definitive, action-oriented prescriptions built from proprietary AI data, translated into clear, prioritised execution plans.
You'll work directly with someone who understands both the technical requirements of trust signals and the commercial realities of running a business. I don't just fix your score; I transfer the capability so your team can maintain and improve trust infrastructure independently over time.
Youssef Naiim - Market Development Manager, iPlastics
Rhea Hokayem-Conway - Head of Marketing, Cocentric
David Gormer - Founder, Square Mile Accounting
AI Trust Signals are verifiable authority indicators that help AI systems understand who you are, what you do, and whether you’re a credible source to cite or recommend.
SEO focuses on ranking pages. AI Trust Signals focus on entity credibility and answer-worthiness in AI-powered search and answer engines.
Both, and more. They influence how large language models, answer engines, and AI-assisted search systems interpret your authority.
E-E-A-T is one component. AI Trust Signals go further by turning expertise and authority into machine-verifiable signals.
Some are visible, many are structural. The key audience is AI systems, not humans.
Yes. Strong signals increase the likelihood of being cited, referenced, or summarised by AI.
No. It’s technical, structural, and content-based authority engineering.
No. They rely on consistency, verification, and cross-signal reinforcement.
AI models must reduce hallucination risk. Trust Signals help them decide who is safe to trust.
The core fixes are one-time. Maintenance ensures freshness and continued authority.
Expert-led businesses, agencies, consultants, SaaS companies, and professional services.
Only if you already have real expertise, clients, and proof to validate.
Yes, especially agencies struggling to demonstrate authority beyond case studies.
Yes, particularly where entity clarity and NAP consistency matter.
No. Authority signals apply even with limited content.
No. It ensures existing and future content is recognised as authoritative.
Yes; personal authority signals are a core accelerator.
That’s one of the primary use cases.
Yes. Search rankings don’t guarantee AI visibility.
Businesses without real expertise, proof, or willingness to fix foundational gaps.
A diagnostic score measuring how well your business is understood and trusted by AI systems.
Identify trust deficits, implement targeted accelerators, and deliver a measurable score increase.
Most clients see improvements within 30–60 days.
Author presence, pricing transparency, content structure, schema, citations, freshness, and policy clarity.
No. This is execution-first.
Yes, or alongside your internal team.
No. Accelerators are applied based on your diagnostic gaps.
Some elements overlap, but the goal is AI comprehension, not rankings.
Yes, as score movement is a core outcome.
Yes. Most start with foundational accelerators.
Higher AI Trust Signal scores, clearer entity recognition, and increased AI visibility.
No guarantees, but it dramatically improves eligibility.
Yes. This is foundational AEO infrastructure.
Yes, stronger signals reduce misrepresentation and incorrect summaries.
Yes, by anchoring authority to verifiable sources.
Indirectly, by improving perceived authority before conversations happen.
Yes. Score movement is the primary KPI.
Yes. The signals are model-agnostic.
Yes, it strengthens both.
Pricing is based on accelerator tier and implementation scope.
There is a retainer option, alongsidegisde two "Fix & Lift" one-off engagements.
Yes, most projects target a 30–60 day lift window.
Yes, particularly content, SEO, and authority-building work.
Not necessarily, as support can be fully handled.
No. The goal is stable, verifiable authority.
Yes; policy and transparency signals are especially valuable there.
Access for diagnostics and implementation.
An AI Trust Signals diagnostic.
Assuming AI understands their authority without proof.
Stop losing deals to competitors with stronger trust signals. Get the audit, roadmap, and remediation you need to show up when buyers and AI models are making decisions.