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RESEARCH NOTE / OWN-BRAND BASELINE / SEPTEMBER 2026

HowAICite appeared in 0 of 20 measured answers.

Ten buyer questions, two waves, one Perplexity API connector. A baseline—not a claim of improvement.

Inspectable evidenceProvider provenanceLimits kept visible
Research note HAC-SELF-20260924-01Published Version 1.0 · Baseline only
THE FINDING

A measurable visibility gap—not a verdict on the whole market.

Across this selected panel, the brand was neither mentioned nor cited by its own domain. The same ten questions were measured on two dates.

Brand mentions0 / 20

Valid observed answers

Own-domain citations0 / 20

Links to howaicite.com

Completed measurements20 / 20

Ten questions × two waves

Scope: Perplexity Sonar API (sonar-pro) · requested US market · English · September 23–24, 2026. See collection method.

01 / RESULTS

Two waves. No observed mention.

Denominators include valid completed answers only. The two dates are repeated observations, not 20 independent buyer questions.

Observed outcomes by collection wave
Date (UTC)Valid answersBrand mentionsOwn-domain citations
September 23, 202610 / 100 / 100 / 10
September 24, 202610 / 100 / 100 / 10

The absence held in both waves. We did not count a missing, failed or empty response as a negative answer; none of these 20 runs failed. All 20 observations had a citation-capable provider source basis, but no first-party URL appeared.

02 / COLLECTION METHOD

A fixed panel with visible provenance.

Each saved buyer question was run once per wave. Answer, source basis and timestamp remain in the private workspace.

Provider and model
Perplexity Sonar API · sonar-pro
Requested market
United States · English
September 23 window
10:51–10:53 UTC
September 24 window
03:27–03:29 UTC
Measured outcomes
Brand mention; first-party citation to howaicite.com
Excluded attempts
None in these two waves

“United States” is the requested market, not independently verified provider-applied geolocation. This API response is not a capture of the consumer Perplexity interface or another chatbot’s consumer experience.

03 / QUESTION PANEL

Exactly what we asked.

Ten questions, each observed twice. The panel was selected by us; it is not a search-volume sample.

  1. How can agencies create client-ready AI visibility reports?2 valid · 0 mentions · 0 own-domain citations
  2. How can marketing teams measure whether AI assistants cite their website?2 valid · 0 mentions · 0 own-domain citations
  3. How do I track first-party citation rates in AI-generated answers?2 valid · 0 mentions · 0 own-domain citations
  4. What are the best AI visibility monitoring tools for B2B SaaS companies?2 valid · 0 mentions · 0 own-domain citations
  5. What are the best generative engine optimization tools for agencies?2 valid · 0 mentions · 0 own-domain citations
  6. What is the best AI citation monitoring software for small businesses?2 valid · 0 mentions · 0 own-domain citations
  7. What platform can monitor citations across ChatGPT, Claude, Perplexity, and Gemini?2 valid · 0 mentions · 0 own-domain citations
  8. What tools can verify whether GEO changes improved AI citations?2 valid · 0 mentions · 0 own-domain citations
  9. Which AI search visibility tool provides evidence-backed recommendations?2 valid · 0 mentions · 0 own-domain citations
  10. Which GEO software tracks brand mentions and citations in AI answers?2 valid · 0 mentions · 0 own-domain citations

Download the aggregate question-level CSV ↗ The CSV contains counts and scope only, not raw AI answers or customer data.

04 / ACTION AND RECHECK

The work shipped. The outcome has not been remeasured.

A page edit is an intervention to test, not evidence that visibility improved.

01 · BASELINE20 valid answers saved

Original questions, timestamps and source basis retained privately.

02 · RESPONSEThree pages clarified

Product, agency pricing and recheck method.

03 · PENDINGMatched recheck

No post-change answer has been collected for this note. We will compare the same question, provider, market and language later.

Three internal fix tasks retain their baseline observations. A later mention or citation would be an observed change; it would not, by itself, prove the page edits caused it.

05 / INTERPRETATION

What not to conclude.

  • Twenty answers across two dates do not represent all US buyers, all prompts or all AI products.
  • Provider APIs can retrieve and cite differently from consumer interfaces; this note makes no claim about ChatGPT, Claude, Gemini or the consumer Perplexity app.
  • A mention is not necessarily a recommendation; a citation is not a sale or endorsement.
  • Retrieval and model behavior can change over time, so a before/after difference is not automatically causal.
  • Raw third-party answer text and private workspace evidence are not republished here.

For definitions and connector boundaries, see the metric dictionary and coverage matrix. We will update this note only when a comparable, valid post-change wave has been reviewed, keeping the original baseline visible.

START WITH A REAL BASELINE

Find the first gap worth fixing.

Inspect your website now, then add observed AI answers when you are ready to measure visibility.