AI search optimization for B2B tech companies that need to be the recommended vendor, not a footnote no model can find.

ChatGPT, Claude, Perplexity, Google Gemini, and Google's AI Overviews — the surfaces where B2B buyers now build shortlists. Because these models draw on overlapping signals (third-party citations, entity data, authority, structured content), a well-built program lifts visibility across all of them rather than gaming a single one. We baseline and track each engine separately so you can see where you're strong and where there's still a gap.

Models recommend companies based on how often and how credibly they're discussed across trusted external sites, plus how cleanly the model can identify and categorize you. So we do three things at once: earn mentions and placements on the sources a model already cites, fix your machine-readability (entity consistency, schema, clear service-line definitions), and publish answer-shaping content that becomes a citable source. Tweaking your own site alone rarely moves an AI recommendation — the external signal and the entity data are what shift the answer.

We baseline your presence across a defined commercial prompt set — who's named, who's cited, how you're framed — then track movement on that set over time. The part most agencies skip: we instrument how AI-discovered prospects enter your CRM and tie prompt-set movement to tracked MQLs, SQLs, and revenue. You see the line from "now recommended for this prompt" to "deal in pipeline," the same CRM discipline behind the $30M+ in marketing-led revenue we've tracked for clients.

It depends on your starting authority and how competitive your category prompts are, but AI Search can move faster than classic SEO because a few credible new signals can change an answer. We've seen B2B tech clients earn their first LLM-sourced inbound and first AI Overview placements within the first month or two of the program. Defensible category positions, where you're consistently recommended across many prompts, compound over the following quarters as authority accumulates.

Yes — they reinforce each other. Much of the content and authority that ranks you in organic search is also signal that models read when they build recommendations, and AI Overviews sit directly on top of search results. We don't treat AI Search as a replacement for SEO; we treat it as the layer that captures buyers who now start in an assistant. Many clients run both as one system, which is why this page links to our B2B SEO and demand generation services.

That's exactly why we anchor the program to commercial prompts and your sales team's feedback rather than mention counts. "Best vendor for…" and "top alternatives to…" prompts are high-intent — the buyer is mid-evaluation — so the leads tend to arrive further along than top-of-funnel content traffic. We review which AI-sourced conversations your team qualifies, then weight the prompt set toward the questions that produce real pipeline and cut the ones that don't.

It's built for companies with considered, higher-value deals where buyers research for weeks and lean on comparisons and "best vendor" lists — custom software and product-development firms, B2B SaaS, and cybersecurity vendors are a strong fit. If your evaluation cycle involves shortlists and category comparisons, AI visibility is already shaping who gets a meeting. If you sell low-consideration, transactional products, the leverage is usually lower and we'll tell you so up front.