Always-on monitoring of the 12 confirmed quality signals OpenAI uses to decide which brands appear in paid ChatGPT search placements. Sentry catches LLM-unreadable landing pages, missing entity grounding, low corpus presence, and uncompetitive bid posture before they cost you placement in the next user's chat. Cortex handles the fix.
Continuous audits of the 12 emerging quality signals OpenAI cites in pilot documentation + the GEO patterns that govern ChatGPT placement in AI search. Each rule maps to OpenAI's pilot guidance, llmstxt.org spec, or web.dev structured-data docs. Sentry catches what fails. Cortex fixes it.
Brand is enrolled in OpenAI's ChatGPT Ads pilot, or has GA access where ChatGPT Ads is generally available. ChatGPT Ads is still in phased rollout - brand approval is a documented prerequisite per OpenAI's pilot terms. Without approval, no other rule matters.
Landing page is server-rendered, text-content-rich, and structured (semantic HTML, not a JS-heavy SPA shell that returns an empty body to LLM crawlers). OpenAI's pilot guidance is explicit that pages must render to readable content without JavaScript execution.
Campaign has a configured bid (CPM where supported by pilot) paired with a frequency cap per chat session. Without a frequency cap, the same user can see the same ad multiple times in one conversation - documented as the #1 ChatGPT Ads waste pattern.
OpenAI pilot policy review shows zero disapprovals or pending review. ChatGPT Ads has stricter content + brand-safety review than legacy ad networks - one violation can pause the entire pilot account.
Landing-page domain serves a /llms.txt at root per the llmstxt.org spec. ChatGPT's pilot crawler reads llms.txt to discover which pages are ad-eligible and what context to present alongside the placement. Missing llms.txt = the LLM falls back to general crawling and may surface a different page.
Landing page emits Organization JSON-LD with `name`, `url`, `logo`, and `sameAs` linking to Wikipedia + Wikidata + LinkedIn + Crunchbase. ChatGPT uses the sameAs chain to ground the brand entity - without it, the AI can't confidently match a chat query to your brand.
The brand domain appears as a citation in at least one other AI engine (Perplexity, Gemini, Claude) for queries in the campaign's category over the last 30 days. ChatGPT's pilot relevance model weights cross-engine citation as a credibility proxy - brands cited nowhere else compete from behind in ChatGPT's auction.
At least 5 landing pages identified by Cortex as original primary sources (proprietary data, expert commentary, brand-owned research) rather than marketing rehashes of third-party content. ChatGPT preferentially surfaces - and prices placement-eligibility against - pages it identifies as original sources, not summaries.
Campaign bids sit between 70% and 130% of the category median bid for the same query class, per OpenAI pilot auction data. Below 70% = the placement loses to competitors who bid up. Above 130% = paying a premium without proportional placement-priority lift since OpenAI caps boost effect past category midpoint.
Brand has a Wikipedia article (or English-language wiki) plus a Wikidata Q-ID. ChatGPT's underlying model relies on these as entity-grounding anchors. Without them, the AI may refuse to surface the brand confidently in any auction - paid or organic.
Landing page accepts and processes traffic with referrer stripped. ChatGPT (and many AI engines) strip Referer headers in click-throughs - URLs that depend on referrer for personalization, attribution, or auth break in the AI-search-traffic flow.
Campaign frequency capped at 2-3 impressions per chat session. ChatGPT conversations can run dozens of turns - without session-level caps, the same user sees the same ad turn after turn, exhausting the placement budget on one impression at a time.
Paste your landing-page URL for a free pre-check of the landing-page quality OpenAI scores into ChatGPT Ads placement priority. Sentry runs PSI, parses the HTML for SSR text density, mobile viewport, structured data, and llms.txt. The full 12-signal pilot monitor requires Cortex connection.
Sentry fetches your site, runs every CHATGPT ADS rule, and renders the full result page before your next sip of coffee.
Each failed rule ships with a prescription paragraph. Hand it to engineering and the gap is closed before lunch.
Add your site to the daily Sentry sweep with one click. New regressions get caught the next morning.
12 rules in the CHATGPT ADS Sentry. Daily 3:30 AM ET sweep.
One brain. Thirty-six pairs of eyes. Sentries monitor every visibility signal that decides whether search engines, AI engines, and ad platforms show you. Cortex reads what they see, weighs it against a unified corpus of platform documentation, and acts. Every move follows a defined decision protocol: action stated, reason given, impact named.