B2B SaaS answer engine optimization articles
Articles go deeper than the topic pages. Each one takes a single question, opens with the answer and names the source behind every number.
Key facts
- Ahrefs found an AI Overview correlates with a 58% lower click-through rate for the top-ranking page, across 300,000 keywords. AI Overviews click-through rate: 2026 data →
- To be cited in AI search, allow OAI-SearchBot, Claude-SearchBot and PerplexityBot. OpenAI says sites that block OAI-SearchBot will not be shown in ChatGPT search answers. robots.txt for AI crawlers: B2B SaaS guide →
- Build a fixed set of at least 20 buyer questions and run it in each AI tool every month. How to track AI search citations →
- llms.txt is a proposal from September 2024 for a Markdown file at the site root that helps AI agents use a website. llms.txt for B2B SaaS: does it matter? →
- SEO aims to rank and earn the click. AEO aims to be cited in an AI answer and still earn the click. Most of the underlying work is shared. AEO vs SEO for B2B SaaS →
All articles
AI Overviews and click-through rate: what the 2026 studies show
What two large 2026 studies show about AI Overviews and click-through rate: a 58% lower CTR for the top result, and 120% more clicks per impression when cited.
robots.txt for AI crawlers: a setup guide for B2B SaaS sites
How to set robots.txt for AI crawlers on a B2B SaaS site: which user agents to allow for AI search, which control training, a sample file and checks.
How to track AI search citations for a B2B SaaS brand
A monthly method for tracking whether ChatGPT, Claude, Perplexity, Gemini and Google AI Overviews cite a B2B SaaS brand: questions, records and checks.
llms.txt for B2B SaaS: what it is and whether it matters
What llms.txt is, what the 2024 proposal asks for, what Google says about AI text files and whether a B2B SaaS site should publish one, with a sample file.
AEO vs SEO for B2B SaaS: what differs and what to do first
AEO vs SEO for B2B SaaS compared: goals, crawlers, page work, measurement and what the platforms document, ending in a verdict on where to put effort first.
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