Accurate representation
AI systems describe your company, your offering, and your difference correctly.
Build AI visibility. Earn digital authority.
Your customers increasingly use AI while researching companies, products, and services. THRUM helps make sure those systems understand who you are, what you do, and why you belong in the conversation.
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THRUM's operating principles, presented as a question-and-answer reel. AI authority doesn't come from keywords alone: AI systems reference what they can understand, retrieve, and trust. This is an illustration, not a live AI system.
Search is no longer a single list of links. Buyers increasingly encounter synthesized answers, recommendations, summaries, and traditional results throughout the same research journey. That means your brand has to be understandable before the click — not just optimized after it.
Buyers increasingly ask AI systems to explain categories, compare options, and shortlist vendors before they ever reach a website. The organizations represented accurately in those answers didn't get lucky — they were engineered for it.
How much buyers trust AI research without checking it
94% 94%
of B2B buyers who used AI to research a purchase fact-checked what it told them.
How narrow the consideration set has become
83% 83%
of buyers shortlisted three or fewer products — the average shortlist was just 2.7.
We show our work. Every figure on this page ships with a named, dated source — the same standard this diagnostic will be held to.
AI systems describe your company, your offering, and your difference correctly.
The company is eligible to appear during relevant AI-assisted research.
The right prospects encounter the brand during meaningful buying and research moments.
Stronger conditions for inclusion in relevant category and vendor recommendations — never a guarantee of inclusion.
Visibility connects back to website experiences, inquiries, pipeline, and business opportunity.
THRUM was founded by Scott Cook, Jeff Black, and Ash Warren — the partners behind Righteous Creative — to focus on how organizations are understood, represented, and discovered in an increasingly AI-mediated world.
Their practice spans digital strategy, brand, UX, product, content, web design, development, and creative technology. Experienced people, a specialist company, solving a new problem.
Your website isn't just a destination anymore. It's increasingly a source that search engines, answer engines, AI systems, research tools, and customers interpret before a buying decision is ever made. The modern site has to do more than rank. It has to be understood.
See how AI currently understands your company — and what to do next.
A structured assessment of how your organization is currently understood and represented across AI-assisted discovery — then converted into a prioritized, executable plan.
This is not a tooling audit. It's a structured assessment of how the major AI systems currently understand your organization, benchmarked against your competitors, delivered as an executive readout and a prioritized 90-day plan.
Credited toward AI Authority Transformation if you proceed within 90 days.
An independent, ungated reading of how the major systems currently understand a public real-estate developer. Method — not a case study, not a client.
An AI Visibility Diagnostic reads your organization the way the major systems do. These are the categories — not sample scores, not a fictional client.
How major AI systems currently describe the organization.
Whether the brand appears for priority category and buying questions.
How often competitors appear relative to the organization.
Which sources AI systems rely on when discussing the category.
Where company identity, expertise, products, or services are misunderstood.
Where the site's topical depth is strong or incomplete.
Structured data, crawlability, architecture, semantics, and machine readability.
What should be addressed first — ranked by commercial impact.
Understand where you stand. A visibility baseline across major AI platforms, competitive and entity analysis, technical and content review — delivered as a prioritized roadmap and an executive findings presentation in approximately 15 business days.
Implement the highest-value changes: information and entity architecture, topical content strategy, structured data, technical and UX improvements, and content development.
Measure, optimize, and grow visibility over time: mention and representation tracking, competitive monitoring, content optimization, authority opportunities, experimentation, reporting, and quarterly strategy reviews.
Capabilities across every level: semantic & entity architecture · structured data · content strategy · UX & design · engineering · measurement
Understand the business, audience, category, competitors, and commercial priorities.
Evaluate AI visibility, content, entities, authority, and technical foundations.
Identify the highest-impact opportunities and set the roadmap.
Implement editorial, technical, UX, content, and authority improvements.
Track representation, visibility, mentions, competitive movement, traffic, and downstream outcomes.
↳ This section is itself an answer block — question-first, semantically marked, machine-quotable. Practicing what we ship.
AI visibility is how often — and how accurately — AI systems such as ChatGPT, Gemini, Perplexity, and Google's AI results understand, mention, and represent your organization when people research your category. It spans representation accuracy, retrievability, and eligibility for reference or recommendation.
Generative Engine Optimization (GEO) is the practice of structuring content, entities, and technical signals so generative AI systems can understand, retrieve, and reference a site when composing answers. It extends search optimization's foundations to the answer layer.
Answer Engine Optimization (AEO) is the practice of making an organization understandable, retrievable, and eligible for accurate representation inside AI-generated answers — in assistants, answer engines, and AI-assisted search. It overlaps with Generative Engine Optimization. THRUM's work covers both: entity architecture, structured data, content, and authority signals that help systems describe a company correctly.
SEO optimizes for ranked links on a results page. This work optimizes for accurate machine understanding: semantic structure, entity consistency, structured data, and authority signals that make content eligible for retrieval and reference inside AI-generated answers. Good SEO remains a foundation — it's no longer the whole job.
No. THRUM does not control third-party AI systems and cannot guarantee citations, rankings, recommendations, or inclusion in generated answers. We improve the editorial, structural, technical, and authority signals that can increase an organization's eligibility, clarity, and visibility.
Diagnostics baseline how you surface across the major assistants and answer engines — including ChatGPT, Google's AI Mode and Gemini, Perplexity, and Claude — plus the search and crawl infrastructure that feeds them.
Not always. Many organizations improve materially through structure, content, and entity work on the existing site. When the underlying build genuinely blocks machine legibility, the recommendation is explicit — and THRUM designs and builds replacements when warranted.
Against a repeatable set of commercially relevant queries and prompts for your category: how systems describe you, whether the facts are right, when you're mentioned or referenced, and who appears beside you. The diagnostic sets that baseline; ongoing work tracks movement against it.
The diagnostic delivers findings in approximately 15 business days. Authority Transformation is scoped at 6–12 weeks. Visibility shifts tend to compound over the following months as AI systems re-crawl and re-index — this is a discipline, not a one-time fix.
You keep everything: the baseline, the findings, and a prioritized 90-day plan your team can execute with any partner. Some organizations run it internally; others continue into AI Authority Transformation. There's no obligation either way. If you proceed into Transformation within 90 days, the Diagnostic fee is credited toward that engagement.
Yes. The work is complementary: we focus on machine understanding, entity architecture, and authority signals, and we hand your existing team clear, implementation-ready specifications for anything they own.
The diagnostic is the low-commitment way to find out where you actually stand.
The AI Visibility Diagnostic shows how major AI systems understand and represent your organization, where competitors may be gaining ground, and which actions deserve priority.
≈15 business days · Executive readout · Prioritized roadmap · Credited toward Transformation within 90 days · No long-term commitment · Reply within one business day
We take on four diagnostics per quarter.
Send your company domain and an email address. That's the whole ask.
We run a first read — how the major AI systems currently describe you.
You get a reply within one business day: what we saw, and whether a full diagnostic is worth it. No obligation.
Give us the site. We'll take a first look before we ever get on a call.
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Request received. We'll look at the domain you sent and reply within one business day with a first read — no obligation.
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We reply within one business day. Your details are never shared.
AI Visibility Diagnostic — $7,500. Credited toward Transformation if you proceed within 90 days.