Think of SEO and AEO as a double helix: two connected strands of visibility built around the same buyer questions. SEO helps people discover your pages in search results. AEO focuses on making your expertise useful in direct answers. GEO extends that work to how generative AI systems represent, mention, and cite your business.

For a B2B SaaS company, that could mean building a strong guide to cash flow forecasting that can rank in search, answer a specific buyer question clearly, and provide evidence an AI system can reference. We connect that guide to comparison pages, customer proof, and a relevant next step, such as requesting a demo.

The result is a more connected search and inquiry experience: buyers encounter consistent answers as they move between search results, AI conversations, and your website. We coordinate the content, technical foundations, internal links, and supporting evidence, while measuring search traffic, AI visibility, and qualified inquiries separately.

AEO means Answer Engine Optimization. It focuses on helping your content answer specific questions clearly enough to be surfaced in direct-answer experiences, including search features and AI assistants. For example, a SaaS company might publish a concise, well-supported answer to “How does automated bank reconciliation work?” within a detailed guide.

GEO means Generative Engine Optimization. It focuses on how your business and expertise appear in responses assembled by generative AI systems such as ChatGPT, Gemini, and Perplexity. For example, when a buyer asks “Which cash flow forecasting tools suit a growing SaaS company?”, the work could include clear product information, comparison content, customer evidence, and accurate coverage on relevant outside sources.

The terms overlap and are often used interchangeably. We use them to distinguish clear answers to buyer questions from the broader work of improving how AI systems understand and represent your business. Neither guarantees a mention, citation, or recommendation.

You receive a presentation of the findings and a prioritized implementation roadmap. The presentation explains your search and AI visibility baseline, the buyer questions worth pursuing, competitor advantages, content and technical gaps, and the sources behind relevant AI citations.

The roadmap turns those findings into specific actions: which pages to improve, which content to create, what evidence to add, and which outside-source opportunities to pursue. It identifies priorities, owners, deliverables, dependencies, and success measures so your team can act on the analysis. You can implement it internally or engage Strategy Kiln to help deliver the work. The sample audit shows the depth and format; your scope is tailored to your business.

We research the queries behind your services and customer needs, then organize them by awareness, consideration, and decision intent. We use keyword data to show which inquiries have the highest estimated search volume at each stage and assess keyword difficulty, current rankings, and the pages already competing for those searches.

For a SaaS company, the journey might move from “how to improve cash flow forecasting” to “cash flow forecasting software” to “best forecasting software for SaaS.” Where useful, we reverse engineer competitors’ existing pages and topic clusters to see which buyer needs they address, where they attract estimated traffic, and what your content is missing.

We then recommend which pages to strengthen or create and how to connect them to the next buying decision. Search volume and difficulty are estimates for traditional search, not exact counts of AI prompts; we assess AI answers and citations separately.

A mention names your business in an AI answer. A citation identifies a source supporting the answer, usually through a clickable reference or source link. A mention can appear without any link to your website.

For example, an AI answer about cash flow forecasting software might say “LedgerFlow is one option for SaaS finance teams” without linking anywhere. That is a brand mention. If the answer also links to a LedgerFlow guide as a supporting source, that is a citation to your website. If it links to a third-party review discussing LedgerFlow, the citation goes to that review site.

LedgerFlow is a fictional example. We track mentions and citations separately because being named, being used as a source, and receiving a website visit are different outcomes.

Yes. The roadmap identifies what to do, why it matters, and what each action requires, including the owner, deliverable, dependencies, and success measure. Your team can implement it internally, share the work with us, or engage Strategy Kiln to lead delivery. We prioritize around your available resources so the plan is practical to execute.

Yes. We can often improve the website you already have by strengthening existing pages, clarifying answers, improving content structure and internal links, adding supporting evidence, and addressing technical issues. You do not automatically need a new website.

The audit helps us determine what to update, what to create, and whether any platform or technical limitations need attention. Recommendations reflect your existing site, business goals, and implementation capacity.

We establish a baseline and agree on the signals that matter to your business. These can include priority content delivered, search rankings and relevant organic traffic, AI brand mentions, citations to your site, and qualified inquiries.

For AI visibility, we revisit an agreed set of buyer questions across selected platforms and record the dates and conditions of each check. Answers can vary, so we look for patterns over time rather than treating one response as a result. We use those findings alongside website and inquiry data to refine priorities; a mention or citation alone does not prove a sale.