Get cited where B2B buyers actually research.

B2B buyers no longer start their research on Google. According to Forrester's 2026 Buyers' Journey Survey of 18,000 respondents, 55% of B2B buyers now use AI to compare vendors before visiting any supplier website. Separately, G2 found that 51% start their research in AI chatbots. The vendor shortlist is being assembled inside ChatGPT and Perplexity, and the brands that aren't cited in those answers are invisible to buyers at the most critical moment in the decision process.

This is not a future problem. It is already affecting pipeline. The evidence is in the traffic data: click-through rates from the number one organic ranking position dropped 64% between March 2024 and March 2025, as AI-generated answers absorb the queries that used to generate clicks. Your rankings may be intact while your pipeline exposure is quietly shrinking.

Traditional SEO does not solve this, and the reason is structural. AI models build their answers from a different source set than Google's ranking algorithm. 88% of Google AI Mode citations come from pages that don't appear in the organic top 10. The content that earns AI citations differs from the content that earns rankings. It needs a different architecture, different authority signals, and deliberate coverage of the full query universe your buyers run. That's what generative engine optimization addresses, and it's where AEO work begins.

Answer engine optimization is the practice of structuring content, building authority, and engineering schema so that AI models retrieve and cite your brand when generating answers. It operates at the layer above traditional search: the citations inside ChatGPT, the sourced answers in Perplexity, the summaries in Google AI Overviews. For a deeper look at the fundamentals, see our guide on what AEO is.

AEO is more than FAQ schema, and it is not a volume play. It sits on top of SEO foundations, so site architecture, indexability and Core Web Vitals remain prerequisites. AEO extends SEO by optimizing for the citation layer above organic rankings. The five platforms that matter (ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, and Gemini) each cite sources through different mechanisms. Treating them as one channel is why most AEO programmes underperform.

One data point that establishes why multi-platform coverage is non-negotiable: AI Overviews and Google AI Mode share only 13.7% of cited URLs (Ahrefs, 2025). That means a brand cited in AI Overviews is absent from AI Mode for 86% of queries. Winning on one platform while ignoring the others leaves you absent from the other four.

According to Muck Rack's analysis of over one million AI prompts (December 2025), 94% of AI citations come from earned, non-brand-owned media. Your blog is largely invisible to AI models. The content that gets cited is published on third-party editorial sources, industry publications, and high-authority domains. Understanding this mechanism is the starting point for any serious LLM SEO programme.

Three factors drive citation selection. First, domain authority: there is a 0.65 linear correlation between domain authority and citation frequency, meaning the authority of the source matters as much as the quality of the individual piece. Second, content structure: static HTML with proper schema achieves 94% AI parsing accuracy versus 23% for JavaScript-rendered pages without schema. The technical implementation is a citation gate rather than a detail. Third, distributed authority: publishing across third-party sources increases citation frequency by up to 325% compared to brand-owned channels alone.

What "authority building" means operationally is not simply acquiring backlinks. It means targeted third-party editorial placements in publications AI models treat as citation sources, entity disambiguation across the web (consistent brand name, description, and category signals across all mentions), structured data implementation across the full site, and prompt-consistent brand messaging that AI models learn to associate with your category. Most competitors skip past this part, because it takes strategy rather than a content calendar.

Authoricy works with B2B companies. The work covers four pillars, each producing something concrete rather than a strategy document. See the full breakdown of individual deliverables on our AEO services page.

The conversion data is the most important benchmark: AI search traffic converts at 14.2% versus 2.8% for Google organic (Stackmatix analysis, 12 million visits, 2025). That is a 5x difference. The volume is lower than organic today. The intent is not comparable: buyers arriving from AI citations have already been pre-qualified by the answer that sent them.

For B2B SaaS specifically, a representative AEO engagement benchmark (Stackmatix, 2025): citation rate moving from 8% to 24% over 90 days, generating 47 qualified leads, $64,000 in closed revenue, and 288% ROI on the engagement cost. These are industry benchmarks rather than Authoricy case studies, and we will replace them with our own data once we have enough of it. We are not going to claim numbers we cannot attribute.

On timeline: first citation movement typically within 6 to 10 weeks of implementation. Measurable citation rate improvement within 90 days. Full competitive citation parity in most B2B verticals within 4 to 6 months. For SaaS-specific context, see our SEO agency for SaaS page.

Both. SEO foundations are prerequisites for AEO to work: site architecture, Core Web Vitals, indexability, link authority. You cannot earn AI citations on a technically broken site with no domain authority. AEO extends SEO by optimizing for the citation layer above organic rankings, not replacing it.

The directional argument for investing in both now: Gartner projects that 25% of traditional search volume will shift to generative AI platforms by 2026. Companies investing in both compound their advantage, because AEO-structured content also performs better in traditional search. Companies ignoring AEO are optimizing for a channel that is systematically losing query share. The work you don't do now is market position you hand to competitors who do.

If you're a B2B company with a considered sales cycle, you need both. Start with the AI visibility audit to understand the gap, then decide the sequencing. See also: AI SEO agency for the integrated programme, and GEO vs SEO for the full strategic breakdown.