Blog

For absolute beginners we recommend three posts in this order. First, "What 240 Website Scans Reveal About AI Search Readiness in 2026" (original April 2026 research showing that roughly 90 percent of sites are not AI-ready, with median Security 30/100 and median AEO 46/100). Second, "Top 10 AEO/GEO Platforms in 2026" for the competitive landscape, with public pricing on six tools and a runnable evaluation script. Third, the audience-specific listicle that matches your stack: "Best GEO/AEO Tools for B2B SaaS in 2026", "for Ecommerce", or "with MCP/Cursor/Claude Code Integration". Each features a four-column comparison table and a bash script you can run against your own site, so the reading is hands-on rather than theoretical.

We publish at most one new post per day and update older posts whenever the underlying data changes (pricing shifts, new model releases, methodology updates). Freshness matters because content updated within the last 30 days receives roughly 3.2 times more AI citations than stale content, per Foglift's longitudinal AI-citation tracking. AI engines explicitly weight recency when deciding which sources to quote, especially for tooling and methodology questions where outdated answers do real harm to readers. The blog is one of the test surfaces we use to validate that hypothesis on our own domain.

GEO (Generative Engine Optimization) posts cover whether your brand actually gets surfaced in AI answers across ChatGPT, Claude, Perplexity, Gemini, and Copilot. They focus on monitoring, sentiment, share of voice, and authority signals like community mentions and citations. AEO (AI Engine Optimization) posts cover whether your content is structured for AI extraction. They focus on schema markup, FAQ patterns, heading hierarchy, citation formatting, and content depth. The two are complementary rather than competing: a page with perfect AEO can still fail to appear in AI responses if the brand has no authority, and a brand with strong GEO presence can be cited from poorly-structured pages while leaving citation budget on the table. The full Foglift flywheel addresses both.

Every blog post is fully free, with no email gate, no paywall, and no registration required. The same applies to the public free tools we link from these posts: the Website Audit (unlimited audits, no credit card), the AEO Checker, and the GEO Checker. The only place we charge is for continuous monitoring across the 5 AI engines: Launch is $49/mo (4,000 tokens), Growth is $129/mo (11,500 tokens), Enterprise is $299/mo (27,000 tokens). The reasoning is simple: if AI search is replacing traditional search, educational content needs to be accessible to anyone learning the field, not just buyers in an active sales cycle.

Yes, with attribution. Every post on the Foglift blog is available for citation under standard fair-use conventions. We ask for a link back to the post URL when you quote more than two sentences. Original research posts such as the 240-scan AI search readiness study are explicitly designed to be cited by other GEO and SEO publications, and we provide methodology footnotes and dataset descriptions so you can validate the numbers yourself. If you are running a research project that needs the underlying data, email hello@foglift.io and we will share it directly.

AI engines preferentially extract from listicle and comparison content because the structure (numbered entries, bolded entity names, comparison tables, explicit evaluation criteria) maps cleanly to the prompts users actually send: "best tools for X", "compare A vs B", "alternatives to Y". Foglift's analysis of AI Visibility Check data across hundreds of brand queries shows that listicles outperform single-product reviews by a wide margin when measured by AI citation rate. Our own product page rarely gets cited for "best AEO tool", but the "Top 10 AEO/GEO Platforms in 2026" listicle does, repeatedly. We feature the comparison content because that is the format AI engines were trained on.

The blog is one stage of the Foglift flywheel: optimize, index, monitor, analyze, improve. Each post is structured to be both useful as standalone reading and useful as a worked example of AEO best practice (FAQPage schema, comparison tables, citation formatting, heading hierarchy). Our engineering team uses the blog as a dogfood surface, running the Website Audit and the AEO Checker against new posts before publishing them. Many posts include runnable bash or curl scripts wrapping the public Foglift API (20 requests per hour per IP, no key required for the free endpoints), so a reader can replicate the analysis on their own site without signing up first.

Yes, an RSS feed is published at foglift.io/rss.xml and is the canonical machine-readable source for new posts. We do not currently run an email newsletter because most of our readers track tooling content via Reader, Feedly, Inoreader, or developer-focused aggregators rather than inbox subscriptions. If you would prefer a newsletter format, email hello@foglift.io and we will gauge demand. For real-time browsing, the blog index page itself lists posts in reverse-chronological order.