Is an AI search visibility audit worth the investment if we already rank well in Google?
Yes. Strong Google rankings do not guarantee strong visibility in AI search. ChatGPT, Perplexity, Claude, and Gemini can recommend different companies, sources, and products when buyers ask the same question. An AI search visibility audit shows where your brand appears, which competitors are recommended instead, and which commercially important buyer searches you are currently missing.
How do I know whether we need an AI search visibility audit or just a standard SEO audit?
Choose an AI search visibility audit when you need to understand how LLMs represent and recommend your brand. A standard SEO audit is better suited to crawling, indexing, technical issues, rankings, and organic search performance. If your Google visibility is healthy but competitors appear more often in AI-generated recommendations and comparisons, an AI search audit addresses the more relevant problem.
What internal data or access do you need from us to complete the audit?
We primarily need your website, product information, target market, and key competitors. Where available, access to Google Analytics, Search Console, CRM data, win-loss notes, or sales call recordings helps us connect AI search opportunities to real buyer behaviour. We do not require access to your AI accounts. We conduct the search testing ourselves across the major LLM platforms.
How long does an AI search visibility audit take from kickoff to delivery?
Most AI search visibility audits are completed within 1–2 weeks of kickoff. The exact timeline depends on the number of buyer prompts tested, competitor set, website complexity, and depth of analysis required. Our standard audit typically tests 20–30 high-commercial-value searches across ChatGPT, Perplexity, Claude, and Gemini before producing the prioritised 90-day roadmap.
How do I present an AI search visibility roadmap internally so it doesn’t get deprioritised?
Present it as a commercial prioritisation plan rather than an AI SEO task list. Each recommendation should show the current visibility gap, the required change, expected business impact, effort, and owner. This makes it easier for leadership to compare AI search work against competing marketing priorities and approve the changes with a clear commercial rationale.
If our brand isn’t appearing in AI search results at all right now, is it too late to fix that?
No. LLMs update their sources and citations continuously, so gaps can close faster than traditional SEO rankings once the right pages, structured data, and third-party signals are in place.
Do you offer any guarantees around improved AI visibility or citation frequency?
No. We do not guarantee specific AI recommendations, rankings, citations, or pipeline outcomes because LLM outputs change by model, query, context, source availability, and product updates. We do guarantee a structured audit of the agreed buyer searches, clear competitive benchmarking, evidence-based recommendations, and a prioritised roadmap showing exactly where your team should focus next.
How often should we re-run an AI search visibility audit as models update?
For most B2B SaaS companies, a full AI search visibility audit every 3–6 months is appropriate, with lighter prompt testing between audits. Re-test sooner after major product launches, positioning changes, website migrations, or significant LLM updates. Regular testing lets you track changes in brand recommendations, competitor visibility, product descriptions, and citations across your priority buyer searches.
