Research, experiments, and strategies to help local businesses dominate Google SGE, ChatGPT, and the new era of search.
I analyzed five SaaS categories to see what AI search actually rewards in 2026. Here is the pattern founders, CEOs, and CMOs should act on next.
Some SaaS categories are no longer education-first. I analyzed category-level intent patterns to show why commercial intent keywords often need shortlist, pricing, and comparison pages first.
Content freshness is not about changing the date. Here is how visible updates, last-modified cues, and maintained pages affect trust in AI search and SEO.
I compared 29 Google AI Overview cited pages against 147 uncited ranking pages from the same query sets. The biggest separator was not rank. It was query alignment.
I profiled 161 Perplexity citations across verified SaaS query sets to see what it actually trusts. The answer is more vendor-owned, pricing-aware, and source-forward than most teams assume.
Perplexity and ChatGPT do not do the same job. Here is how they differ on sourcing, answer framing, comparison behavior, and research use cases.
Which software review sites actually influence AI search? I analyzed evaluator environments like YouTube, G2, Reddit, and Vendr to see which ones shape SaaS trust the most.
What kind of thought leadership content actually influences AI search? I analyzed founder brand stacks and citation patterns to see what founders should publish instead of more generic opinion posts.
Most teams still treat alternatives pages like side-project SEO assets. I looked at the latest AI search research to see why these pages now shape shortlist demand.
Does FAQ schema still matter? I looked at the latest AI search research to see where FAQ blocks help, where they do not, and how to use them on commercial pages.
Most pricing pages are written like support docs. I used the latest AI search research to show what pricing pages, pricing guides, and evaluator pages do differently.
Rankings and clicks miss what AI search is doing. I broke down the AI visibility metrics that matter now: visibility rate, citation share, displacement risk, and more.
I tested 773 queries. One structured data change drove a +28% lift in zero-click visibility. Stop using vague claims. Start using entity constraints.
I analyzed 773 SaaS queries to find the 40-point formula behind ChatGPT citation wins. Here is how to get cited by ChatGPT in AI search.
I analyzed what reviews actually do in AI search. Review content quality beat review count by 6.8x. Here is the review playbook I would use for AEO.
Looking for the best AEO tools? I tested 7 tools across 773 queries to find what actually improves citations, local lift, and AI answer visibility.
I analyzed 773 local-intent queries and found 41% were still open. This answer engine optimization agency playbook shows how to turn that gap into visible client wins.
You can rank in Google and still lose in ChatGPT. I analyzed 773 SaaS queries to map the Citation Score signals that improve ChatGPT search visibility.
AI recommendations shift by city economics, not just proximity. We analyzed 50 US markets to map geo-drift, displacement, and the hidden bias in AI local SEO.
Use this AI search visibility playbook to improve brand reach, trust, and citation presence across answer engines with a clearer view of what actually gets reused.
What is answer engine optimization? This AEO guide explains how to optimize for ChatGPT, Perplexity, and Google AI Overviews without treating them like one channel.