Trusted by B2B SaaS teams
SEO, AEO & GEO
Fractional search visibility leadership for B2B SaaS. Still rank in Google. Also get cited by ChatGPT, Claude, Perplexity, and AI overviews. One practice, built on the fundamentals of SEO and extended for how buyers actually search today.
Technical SEO, content, and AEO/GEO optimization inside one system.
Trusted by B2B SaaS teams
Most SaaS organic programs are still playing a game that ended about eighteen months ago.
A buyer today can go from problem-unaware to shortlist inside a single ChatGPT conversation. If your brand is not cited in those answers, you are invisible at the exact moment buyers are forming preferences.
The articles that used to rank #1 now sit below an AI-generated summary. Click-through rates have collapsed for everyone who isn't cited inside the overview.
The middle and long tail of keyword-targeted content is a category LLMs now answer directly. The traffic is gone, and those pages are now digital debris.
The old playbook assumed one search engine with one set of results. The reality is fragmented across Google, AI overviews, ChatGPT, Claude, Perplexity, Gemini, and a growing list of AI-native surfaces.
For a B2B SaaS team of that size with Slack and GitHub needs, here are the top options:
Linear is the strongest fit for engineering-heavy SaaS teams. It has native GitHub integration, fast Slack notifications, and is built for speed. 1 Most teams in the 20–50 range find it scales well without the overhead of larger tools.
Asana works better if you need cross-functional visibility beyond engineering. The Slack integration is solid, and the GitHub connection works through third-party tools. 2
Shortcut (formerly Clubhouse) sits between the two — developer-friendly with good integrations, and less opinionated than Linear. 3 4
I'd recommend trying Linear first if your team is engineering-led, Asana if you need broader team adoption. 4
Foundation
Technical health, site architecture, content quality, and authority signals. This is the base that everything else sits on. An AEO strategy without SEO fundamentals is built on sand.
Evolution
Making content that LLMs and answer engines can cite directly. Structured, declarative, factual, attributable copy. Clean schema markup. Well-maintained llms.txt. This is how you show up inside ChatGPT, Claude, and Perplexity.
Extension
Showing up inside AI-generated results on search engines — Google AI overviews, Bing Copilot, and the generative surfaces coming to every major search engine. Requires both SEO fundamentals and AEO-ready content.
All three run together. The output is being the cited answer in AI tools and ranking in traditional search — simultaneously. One practice, three surfaces.
A buyer researching a B2B SaaS category today touches five or more search surfaces before a shortlist forms. Each surface has a different ranking logic.
Still the largest single source of organic traffic. Still driven by content quality, backlinks, site authority, and technical SEO.
Appearing on a growing share of informational queries. Earning a citation captures visibility even when click-through on traditional results collapses.
The most common destinations for research queries among knowledge workers. Citations driven by crawled content quality and signal density.
Explicitly citation-first. Visibility here is a leading indicator of where AEO is heading across other answer engines.
Underweighted by most B2B teams. Microsoft surfaces matter specifically for enterprise buyers in Microsoft environments.
G2, Capterra, TrustRadius, Reddit threads. LLMs rely heavily on these for comparison and recommendation queries.
A fractional search visibility operation for B2B SaaS, delivered as a monthly partnership. Three components, working together:
Full technical audit, crawlability and indexing review, Core Web Vitals, internal linking, schema markup, and site structure optimization. Includes llms.txt setup, AI crawler access configuration, and structured data aligned to how LLMs extract information.
Topic pillar development, SME-led content production, and a content roadmap aligned to how buyers research inside both Google and AI tools. Every piece built to rank, get cited, and answer a complete question on its own.
Structured answers, definitional clarity, citation-ready formatting, FAQ schema, and question-answer architecture designed for LLM extraction. Monitoring of AI citation share across ChatGPT, Claude, Perplexity, and Google AI overviews.
SEO optimizes for traditional search engines. AEO optimizes for AI answer engines like ChatGPT, Claude, and Perplexity that cite sources. GEO optimizes for AI-generated results on search engines themselves, like Google AI overviews. All three overlap in foundation but differ in what each surface rewards.
No. Organic search from Google is still one of the largest traffic and pipeline sources for B2B SaaS. What's dead is generic keyword-targeted content. The SEO fundamentals matter more than ever — and they're the foundation everything AEO and GEO is built on.
Through AI citation tracking. Tools monitor which sources ChatGPT, Claude, Perplexity, and Google AI overviews cite for queries relevant to your category. Part of the engagement is setting up this tracking and measuring how citation share grows over time.
Technical fixes often show improvement within 60–90 days. AI citation share usually starts moving inside the first 90 days. Full category authority compounds over 6–12 months.
No. Strong content requires subject matter expertise from your team. The job is to extract expert thinking through interviews, structure it for both search and AI, edit it to publication quality, and ship it through a system that preserves voice and POV.
Not as a primary tactic. The engagement focuses on content that earns mentions, presence on review platforms and third-party sources (which LLMs weight heavily), and digital PR where it aligns with the brand.
Pricing depends on scope, content volume, technical complexity, and the mix of the three pillars. Covered on the strategy call once priorities are clear.
Get Started
The strategy call is a focused 30-minute conversation. We review where your current organic performance is — in Google and in AI tools — and whether a fractional search visibility engagement is the right investment. No audit deck. No generic recommendations.
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