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How brands get named by AI.

Real estate developers, software vendors and growth teams, measured on the questions their buyers ask ChatGPT, Gemini and Perplexity. Every number carries its dates.

Real estate

Developers and property software, and the questions home buyers and operators ask AI.

Residential developer, Bengaluru20.7%Answers naming it on new-launch questions for its localitiesHow a Bengaluru developer gets named when buyers ask AI about new launchesRead the case study
Transaction software, US real estate57.6%Perplexity answers naming itHow a real estate software vendor gets named in 58% of Perplexity answersRead the case study
Residential developer, 3 Indian cities17.4%Named on budget questions in its localitiesWhere a multi-city developer wins AI answers: local budget questionsRead the case study
Leasing AI, property operators0 to 13 of 14Perplexity answers naming it on its core questionFrom zero to named in 13 of 14 Perplexity answers, and how to keep itRead the case study

Growth

Brands that grew their share of AI answers on a fixed set of buyer questions.

+23%AI visibility, 4.4 to 5.4 on 33 fixed US questionsB2B software · Employee rewards platform, USA rewards platform grew its US AI visibility 23% on fixed buyer questionsAn employee rewards and recognition platform selling to US enterprises grew its AI visibility 23% on a fixed set of 33 buyer questions in seven weeks, and moved from 7th to 5th among 14 tracked brands. The gains landed in the three product clusters AirPulse prioritised, after an audit, two fix packs and a crawler-access fix.Read the case study

Named results

Brands that let us use their name. Each headline number carries its window, cohort and engine.

Real estate, property inspection

16.7 to 19.7

AI visibility score (peak), Four engines

Three weeks in 2026. Cohort: Home-buyer prompt set; peak value, three weeks into the engagement.

AirPulse tracked the prompts home buyers ask and found where PropChk could be cited next. Content and schema fixes grew PropChk's cited answers within days.

Week-over-week citation growth measured on a stable prompt set

Competitor movements monitored on the same prompts

D2C, smartphone commerce

15 to 71

GEO readiness score, AirPulse GEO readiness audit

Under four weeks. Cohort: Storefront; 7 of 7 sampled product pages client-rendered at baseline; 630-URL product sitemap after.

BytePe's team shipped SSR and Product JSON-LD on Jun 9, 2026, so engines could read product pages that had been client-rendered. A 630-URL product sitemap was live-verified on Jun 11, 2026.

7 of 7 sampled product pages client-rendered at baseline

6 blog articles cited across 4 AI engines, Sep 15 to 21, 2026: 245 article-citation observations

Read the BytePe case study

EdTech

51.4% to 93.3%

Google AI mention rate, Google AI

May 20, 2026 to Jun 10, 2026. Cohort: Tracked buyer-prompt set; full-run window averages, no single-day picks.

Newton School set out to be the answer when buyers ask AI about online tech education. AirPulse measured where it was named, engine by engine, and re-measured after each fix.

llms.txt fixed and verified live

Structured data shipped across key templates

Events software · First-party

1.27% to 6.66%

Own-site share of all AI citations, ChatGPT and Perplexity

May 1, 2026 to Sep 29, 2026. Cohort: 52 buyer prompts tracked in both months; ChatGPT and Perplexity.

Airmeet is AirPulse's parent company and runs AirPulse on its own marketing every day. On the same 52 buyer questions its site went from 1.27% to 6.66% of ChatGPT and Perplexity citations.

70 buyer prompts tracked daily

Citations and share of answer benchmarked against Zoom, ON24 and more

Read the Airmeet case study

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