0% → 100% ChatGPT appearance, 8 days. 0% → 100% Perplexity appearance, 8 days. #1 recommended position on both engines.
Prepared by Marko Tanaskovic. Baseline 14 July 2026 → Result 22 July 2026.
The question
AvaHR is an applicant tracking system built for small businesses, with a strong customer base among skilled trades and home-service companies — HVAC, plumbing, roofing and similar. The question this case study answers: when ChatGPT, Perplexity, or Google Gemini are asked "what's the best ATS for HVAC companies," does AvaHR get recommended — and what actually moves that needle?
AI visibility is tracked the same way search rankings used to be: by running the real question against each engine repeatedly (5–10 times per engine per check, as an anonymous new user with no login or personalization) and measuring how often the brand is named, and where it ranks in the answer.
The baseline — 14 July 2026
Before any change, AvaHR's appearance for "best ATS for HVAC companies" was mixed and mostly absent:
Two of the three engines a buyer might use never mentioned AvaHR at all.
The action
On or shortly before 21 July 2026, an article was published on onrec.com (an established recruitment-industry publication) titled "The 7 Best Applicant Tracking Systems for Home Service Businesses in 2026 (HVAC)." AvaHR was ranked first — "Best ATS for Home Service Businesses Overall" — ahead of Workable, JazzHR, BambooHR, Breezy HR, Greenhouse, and Zoho Recruit.
The listing included specific, verifiable detail about AvaHR: pricing starting at $99/month with a 7-day free trial, one-click posting to 100+ job boards including Indeed, Indeed Platinum Partner status, and built-in candidate texting and hiring pipelines rather than features gated behind higher tiers.
This is exactly the kind of page an AI engine grounds an answer in: independent-looking, specific, comparative, and recently published.
The result — 22 July 2026, 8 days later
ChatGPT's own summary: "AvaHR is recommended as the #1 option in all 5 answers; Plural is the consistent secondary competitor mentioned."
Perplexity's summary: "avahr.com is recommended as the #1 choice in all 5 answers for HVAC companies; Workable and Greenhouse are the most-mentioned competitors, both positioned as secondary options for larger corporate hiring."
Why this happened
AI engines with live web search — ChatGPT's web-search mode, Perplexity, Gemini grounding — answer these questions by running their own search behind the scenes and pulling from whatever pages come back. Before this article existed, there was no single page making a clear, well-supported case for "AvaHR is the best ATS for HVAC companies," so the engines had nothing strong to cite and fell back to generalist ATS pages. Once that page existed, and ranked AvaHR first with real supporting detail, ChatGPT and Perplexity started citing it directly and repeating its conclusion.
This is the mechanism behind AI visibility work generally: it's not about optimizing AvaHR's own site in isolation, it's about existing on the pages the AI already trusts and reads, with content specific enough for a language model to extract a clear answer from.
The proof, not just the theory
The tracking tool logs exactly which sources each AI answer cited, before and after — so the connection here is directly observable in the source-level diff, not inferred:
In each of these three cases, the single new source added to the AI's citation list was onrec.com — and it was the only change in the source list large enough to explain a jump of that size. That's about as close to a controlled before/after as this kind of measurement gets.
What this does not prove
This is one placement on one prompt. It's strong evidence the mechanism works — not proof every placement produces the same jump. Some pages carry more weight with these engines than others, for reasons that aren't fully transparent from the outside.
Google Gemini moved in the opposite direction on this same prompt (80% → 50%) — a reminder that these measurements are inherently noisy (checks run 5–10 times per engine, not once), and that a new competitor gaining visibility can offset a genuine gain elsewhere.
This particular placement wasn't the result of a paid or pitched outreach campaign — it happened independently. The takeaway isn't "expect free placements," it's "when AvaHR lands on the right kind of page, AI visibility follows fast" — which is the entire premise behind a deliberate outreach effort targeting similar pages on purpose.
The takeaway
A single, well-targeted editorial placement took AvaHR from invisible to the #1 recommendation on two of three major AI engines, in eight days, for a real buyer question. That's the clearest available evidence that targeted outreach to AI-cited publications isn't a slow, speculative channel — it's the fastest lever available right now for AI visibility.
This is exactly what the AI Visibility Audit & Optimization service is built to do systematically: find the sites your buyers' AI answers already trust, and get you on them. Get your own baseline →
Methodology: appearance percentages are clean-room, anonymous measurements (a brand-new user, no login or personalization), run 5× on ChatGPT and Perplexity and 10× on Gemini per check. Before/after figures come from checks run 14 Jul and 22 Jul 2026, using the same prompt and methodology both times.
