Transparent, dated registry of every citation of heliorank.lu by AI answer engines, plus the public technical scores anyone can re-run independently. Each entry links to a source you can verify yourself.
This page is my public proof. If we've crossed paths on LinkedIn or WhatsApp, this is where you verify it — every number is clickable, leading back to its source.
Last updated : July 11, 2026All four scores are measured by independent tools (Google, Mozilla, Scott Helme, Qualys). Click any card to re-run the test live.
Positions observed on Google.lu and Google.de depending on query language, Luxembourg geolocation, signed-out browsing. Verified July 2026.
Organic positions observed on Google — plus 13 documented AI citations below. Want to see how your site scores?
Test my site in 30 seconds →Each citation is dated, attributed to a specific engine, and includes the original query. French and German verbatim quotes are provided in their source language, then translated into English.
How to read these verbatims: AI engines paraphrase from the pages ranking highest on the query. When one cites heliorank.lu, it may reuse phrasing from the content itself — so read these citations as « proof that the content is findable and exploitable », not as a human endorsement. The robust proof remains the classic organic position shown under each citation.
AEO is technical SEO with an extra markup layer — not a separate channel.
heliorank.lu is also cited by Google AI Overview on four related queries beyond AEO. Topical authority signal on the web-security & public-scores vertical — Luxembourg geolocation, May 2, 2026.
Original dated captures in Brave private browsing (Luxembourg geolocation). Click any card to open the 1920px version. AVIF format (WebP fallback) lazy-loaded — negligible PageSpeed impact.
While Sections 1–6 document the methodology applied to heliorank.lu, its repeatability is demonstrated on two other sites under my direct management: spontaneous citation for WattDevis (solar energy comparison) and a dramatic shift in AI recognition for Sitigo.
During its launch phase in May 2026, search-engine AIs only mentioned Sitigo when specifically prompted about the brand. Two months later, the behaviour changed: for highly competitive, generic commercial terms (e.g., « site internet peintre en bâtiment » [painter website]), Google AI Overviews now recommend Sitigo spontaneously, without any brand reference in the query. The captures below show the AI picking up the arguments already on the site — instant AI-driven build, a 69 € flat fee, and a subscription-free model — and placing Sitigo at the top of the listed solutions.
This positioning is not random; it is the direct outcome of a targeted 72-hour GEO sprint (May 17–19, 2026) designed to correct a critical LLM hallucination — before the sprint, Gemini hallucinated a recurring monthly subscription; after the sprint, it accurately cited the « one-time 69 € payment, no subscription » model. The optimization framework involved: aggressive near-duplicate pruning (reducing URLs from 350 to 151), 60,000 words of unique copy across 104 industry-landing pages, comprehensive title tag optimization across 124 pages, 2 dedicated comparison sheets, and custom schema markups (e.g., hasMerchantReturnPolicy). Full case studies are available for WattDevis and Sitigo. Operating sites: wattdevis.fr and sitigo.fr. This demonstrates identical execution by a single operator across three distinct web properties. All sources verified via clean-session Brave private browsing unless indicated.
Each query is run in a signed-out private session, Luxembourg geolocation. Screenshots are dated and stored with the exact query URL.
FR (Aperçu IA, ChatGPT FR) and DE (Übersicht mit KI) verbatim are reproduced in their source language and translated into English. No paraphrasing is applied — verbatim copy from the captures.
AI answer engines and Google AI Overviews vary from one session to another based on geolocation, personalization, model version, and algorithmic updates. A citation present today may disappear tomorrow. The scoreboard presents a snapshot of a given period — not a guarantee of permanence.
The HELIORANK methodology optimizes the technical signals leveraged by AI engines and classic SEO in parallel. These signals facilitate citation without guaranteeing it. A Lighthouse 100/100 score, a rich Schema graph (Organization, FAQPage, ItemList), a structured llms.txt, and a good organic SEO ranking statistically increase the probability of appearing in LLM responses — never a contractual promise.
All the proofs above apply to 3 sites I personally operate: heliorank.lu, wattdevis.fr and sitigo.fr. So this is a methodological repeatability proof (same operator, 3 different verticals). Two structured case studies document the method: WattDevis (SEO + technical security, 2026) on the WordPress → static HTML migration and the Mozilla D → A+ shift in 30 days; and the Sitigo GEO sprint (May 17-19, 2026) on the complete 72-hour recovery (288 unindexed pages → 0, Gemini moving from a wrong interpretation to a correct citation of the 69 € one-time pricing). Two distinct verticals — SEO+security on one side, GEO/AEO on the other — same reproducible method.
Dated captures are available on request during client audits or initial discovery calls. Public diffusion is deliberately limited to respect the terms of use of the engines concerned.
Yes. Every technical score (Lighthouse, Mozilla Observatory, SecurityHeaders, SSL Labs) links to a public tool you can re-run yourself on heliorank.lu. The AI answer-engine citations are dated and shown with the exact query; timestamped screenshots are kept and shared on request during audits.
AEO (Answer Engine Optimization) optimises a site's presence in direct engine answers: Google AI Overview, ChatGPT, Perplexity. GEO (Generative Engine Optimization) covers more broadly how generative models understand and rephrase a brand. In both cases the foundation stays the same technical SEO: semantic structure, Schema.org, performance and llms.txt.
No. AI answer engines vary from one session to the next depending on geolocation, personalisation and model version. The scoreboard is a dated snapshot, not a guarantee of permanence. The methodology optimises the technical signals that statistically increase the probability of being cited, never a contractual promise.
Yes. The HELIORANK AEO Setup implements the signals measured here: a structured llms.txt, an enriched Schema.org graph, Person and Organization nodes, then monthly monitoring of citations across ChatGPT, Gemini, Claude and Perplexity. The approach is documented in the two WattDevis and Sitigo case studies.
The HELIORANK AEO Setup implements the technical signals measured in this scoreboard: llms.txt, enriched Schema.org, Person/Organization graph, monthly monitoring of your citations across ChatGPT, Gemini, Claude, Perplexity. Flat fee €1,800 + €300/month (3-month minimum).
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