Why should a B2B SaaS company invest in LLM SEO rather than focus only on traditional SEO?
Traditional SEO puts your website in Google results when prospects search for keywords. LLM SEO ensures your software gets named when buyers ask ChatGPT, Perplexity, or Claude which tools they should buy. If an AI platform leaves your product off its recommended list, you get cut from the buyer’s shortlist before they ever visit your site. The strongest strategy covers both channels so you capture demand wherever prospects do their research.
When is the right time to hire a specialised LLM SEO agency?
The right time to hire an LLM SEO agency is when AI search is becoming a visible channel for your buyers, but you lack the internal capability to measure or optimise for it. Signs include competitors appearing in ChatGPT responses to your buyer prompts, sales reps hearing “we found you through AI search,” or your content not showing in AI recommendations despite being well-optimised for Google.
How is an LLM SEO agency different from a traditional B2B SaaS SEO agency?
A traditional SEO agency optimises for Google’s ranking algorithm. An LLM SEO agency optimises for how AI models (ChatGPT, Perplexity, Claude) understand, trust, and recommend brands. This requires different signals: site structure for RAG, entity recognition, third-party citations, and content that answers buyer questions in ways AI models favor. We do both, but the focus is on AI recommendations as a distinct channel.
What does your LLM SEO agency actually do for B2B SaaS companies?
We benchmark your visibility across AI engines, optimise your site for AI discoverability, create content AI models prefer, build third-party citations that AI trusts, and track every AI-referred visitor through to pipeline and closed-won revenue using AttributeIQ.
Which AI search platforms does your LLM SEO agency work across?
Our core visibility benchmarking covers ChatGPT, Perplexity, Claude, and Google AI Overviews. These are the major AI answer engines where B2B buyers currently start their research. We benchmark your brand across all of them against your core buyer prompts, then optimise for visibility and citations across the entire landscape.
What content do you create specifically to improve AI search visibility?
We create content around the questions and comparisons that matter when buyers evaluate your category. That can include product pages, comparison pages, buying guides, methodology content, integration pages, and direct answers to high-value buyer questions.
Can LLM SEO work alongside our existing SEO, content, and digital PR programmes?
Yes, and it should. LLM SEO is not a replacement for traditional SEO. The signals that help you rank in Google also help you get cited by AI. We overlay the LLM-specific layer (benchmarking, citation tracking, RAG optimisation) onto your existing programs without disrupting what’s already working.
Can your LLM SEO agency work with our internal marketing, content, and web teams?
Absolutely. Our Advisory program is specifically designed for teams that already have execution capacity but need senior strategy, prioritisation, and accountability. If you need more execution support, our Fully-Managed programme can take responsibility for the work as well.
How do you measure whether our brand is appearing in AI search results?
We benchmark your core buyer prompts across ChatGPT, Perplexity, and Claude, recording which brands are recommended, which sources are cited, and where competitors appear instead. We then track changes in visibility over time and connect that with AI-referred traffic in GA4. Where those visitors enter your CRM, AttributeIQ lets us follow their journey through pipeline and closed-won revenue.
What should we look for when choosing an LLM SEO agency for B2B SaaS?
Look for B2B SaaS experience, a clear methodology for measuring AI visibility, a revenue attribution capability, and a track record of connecting organic search to pipeline. Avoid agencies that treat LLM SEO as a bolt-on to traditional SEO, or that can’t show you exactly how they measure commercial impact. If they can’t tie AI visibility to revenue, they’re selling vanity metrics.
