PR
How we helped Big Sky Studios pivot its proposition from photography venue to full-service agency.
A strong B2B AEO (Answer Engine Optimisation) or GEO (Generative Engine Optimisation) strategy starts by mapping your go-to-market priorities against how buyers are searching and discovering answers in AI platforms. The next step is understanding where your brand appears, how often it is recommended, and whether that visibility aligns with your brand, marketing, and sales strategy.
3Thinkrs works with AI visibility platforms including Profound, AthenaHQ, and Writesonic to measure this. Results reveal how brands are surfacing in AI-generated answers across platforms, such as Google AI Overviews, ChatGPT, Gemini, and Perplexity. We then benchmark that visibility against competitors to identify gaps, opportunities, and areas to improve authority.
The priority is ensuring AI search engines do not ‘forget’ your brand. AI platforms have short memory cycles – often just one to two months – so regularly refreshing content is critical to maintaining visibility.
From there, the focus shifts to understanding which third-party sources AI engines rely on most, then building a strategy to earn inclusion in those sources. That could include analyst firms like Gartner, community platforms such as Reddit, or trusted media titles including the Financial Times.
B2B tech brands should build custom ‘audience schemas’ that mirror the way buyers search. For a cloud-native cybersecurity platform, that means structuring schema markup around audience (CISOs, IT directors, DevSecOps), use cases (threat detection, compliance automation), and solutions (real-time monitoring, automated reporting).
In practice, this might look like: ‘strengthen cloud security posture’ (at the awareness phase); ‘automated compliance tools for financial services’ (at the consideration phase); and ‘Top 5 cloud security platforms for enterprises in 2026’ (at the decision stage).
Structured data (see schema.org) is the base line to standing out. It gives Bing (and, by extension, ChatGPT) the explicit signals it needs to pull your content confidently and accurately into answers. It’s not enough to just add basic schema markup like reviews or FAQs to your website. To stand out, you need to design your data structure to clearly signal who your content is for (i.e. your audience), what problems you solve (i.e. your use cases), and how your product or service delivers value (i.e. your solutions).
To make it easy for LLMs to trust your content, implement LMS.txt (lms.txt, llms.txt, or ‘LMS dot text’), a new type of machine-readable file, placed on your website and designed specifically for Large Language Models (LLMs) like ChatGPT, Perplexity, and other AI answer engines to understand. It acts like a roadmap to your site’s key content, products, and documentation – telling AI crawlers exactly what’s important.
Product-led tech brands should consider publishing product documentation in this format (e.g. features, use cases, API references, FAQs). It boosts trust, relevance, and citation rates in AI-powered answers.
B2B tech brands should build custom ‘audience schemas’ that mirror the way buyers search. For a cloud-native cybersecurity platform, that means structuring schema markup around audience (CISOs, IT directors, DevSecOps), use cases (threat detection, compliance automation), and solutions (real-time monitoring, automated reporting).
In practice, this might look like: ‘strengthen cloud security posture’ (at the awareness phase); ‘automated compliance tools for financial services’ (at the consideration phase); and ‘Top 5 cloud security platforms for enterprises in 2026’ (at the decision stage).
Share of voice in AI search isn’t about rankings. It’s about inclusion in answers. 3Thinkrs measures B2B brand share of voice by analysing who appears across high-value prompts in your category. We quantify how often you’re cited versus competitors, and where you’re being excluded.
The top metrics in Writesonic include:
3Thinkrs works with some of the most notable B2B brands in the industry, helping them to lead the conversation and disrupt the status quo. We advise scale-ups, unicorns, and billion-dollar tech brands in sectors like AI, data, cybersecurity, energy, telecoms, finance, law, and infrastructure. Check out our case studies for examples of 3Thinkrs’ wide-ranging work.
How we helped Big Sky Studios pivot its proposition from photography venue to full-service agency.
Brand positioning
Repositioning LG from a consumer electronics giant to a B2B technology partner
190 media stories helped showcase LG’s business technology portfolio
Data-led PR
Turning Biscuit’s pet care data into headlines reaching millions of UK dog owners
5.9 million coverage views in two months through data-driven storytelling
Media strategy
Helping Informatica lead the UK’s AI and data management conversation
60 tier-one stories in 18 months including CNBC, BBC and The Times
We specialise in PR for tech companies, but that’s not all: our team has over 20 years’ experience supporting scale-ups, unicorns, and $billion-dollar organisations in sectors like finance, law, energy, infrastructure, and more.
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