AI Visibility Baseline
Assess where your brand appears, how it is described and which competitors earn citations.
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Free Consultation from Top Industry Experts
We help AI search experiences understand your brand, connect it with the right topics, and cite trustworthy pages when people research products, services and solutions.
Organisations preparing for discovery across AI Overviews, ChatGPT, Gemini, Perplexity and other generative answer experiences.
Our work connects technical foundations, useful content, clear authority signals and conversion-focused measurement.
Assess where your brand appears, how it is described and which competitors earn citations.
Align brand, service, expert and location information across your site and trusted profiles.
Develop original, specific and well-sourced content that answer systems can confidently reference.
Make important information crawlable, structured and easy for machines to extract accurately.
Strengthen relevant mentions, expert signals and third-party validation across the web.
Track representative prompts, citations, sentiment and landing-page traffic over time.
Test priority prompts and document current citations.
Strengthen entities, claims and topic relationships.
Create useful evidence-led resources worth citing.
Review AI visibility and improve weak coverage.
GEO
Tell us about your goals, market and current challenges. We will recommend a practical starting scope.
SERVICE GUIDE
Generative Engine Optimization, or GEO, improves the clarity, credibility and accessibility of information about your business for AI-led discovery. Highbav reviews the topics buyers explore, the facts published about your services and the evidence available on your website. We build a practical content and technical roadmap that also supports conventional search, because AI-generated answers do not replace the need for useful, indexable pages.
GEO suits businesses whose customers compare providers, research complex purchases or ask AI tools for explanations and alternatives. It is especially relevant when the website gives inconsistent descriptions of the brand or leaves important decision questions unanswered. We start with what can be verified and improved, rather than claiming a secret way to make a model recommend a business.
We map how buyers describe the problem, compare options and test a shortlist. A documented research set captures the question, platform, date and observed response. This helps identify missing topics and unclear positioning without pretending that one prompt represents every user. Competitor review focuses on useful information and evidence gaps, not copying the language of a brand that happened to appear once.
The website should clearly explain the organisation, its services, areas served and the people behind the expertise. We review conflicting descriptions and unsupported claims across priority pages. Product details, methodology, sources and relevant business evidence help visitors judge the information. Where external references are useful, the goal is accurate representation and earned credibility rather than manufactured mentions or fabricated citations.
We organise direct explanations, comparisons and service details into meaningful sections. Important information should be present in accessible HTML and connected through internal links. Crawl controls and indexing signals are reviewed according to their purpose; allowing a crawler does not guarantee citation. Structured data describes supported facts on the page instead of being sold as a special AI-ranking mechanism.
The programme begins with a baseline of priority topics, existing content and observed answer visibility. We agree what evidence your team can provide, then prioritise fixes to service descriptions, technical access and unanswered questions. Publication includes source review and rendered-page checks. Subsequent reviews record both improvements and uncertainty, with the next content decisions tied to actual gaps rather than a fixed volume of AI-generated articles.
We report sampled brand mentions and citations with their context, relevant referral traffic and qualified website actions where available. Coverage of a question set is useful for comparison over time, but it is not a universal share of all AI answers. Platforms can change outputs, sources and reporting, so commercial decisions should use several signals.
No. AI platforms decide which sources to retrieve and cite, and the answer can vary with the query and context. We improve the information and access your business controls. A guaranteed citation or permanent position would misrepresent how these systems behave.
There is no special schema required for Google’s AI features. Relevant structured data should match the visible page and supported specifications. Clear content, technical eligibility and accurate business information remain the foundation; markup cannot compensate for a missing or unreliable explanation.
Usually it extends the work rather than replacing it. Indexable pages, clear architecture and helpful content support both search and AI discovery. We use a GEO research plan to identify additional comparison questions, evidence gaps and brand inconsistencies that the current programme may not cover.
Further reading: Google Search Central: AI features and your website.