Ask HN: What agentic AI ad optimization tool do you use?
A Hacker News post asks GTM engineers and performance marketers about effective agentic AI ad optimization tools. The author notes that using Google Ads Performance Max increased sign-ups but did not improve pipeline quality. They are evaluating tools such as Factors and Pixis and request further recommendations.
- ▪The post specifically targets GTM engineers and performance marketers for advice on agentic AI ad optimization tools.
- ▪The author tried Google Ads Performance Max, which raised sign-up numbers but yielded largely irrelevant leads.
- ▪They are currently evaluating alternative tools like Factors and Pixis and seek additional suggestions.
2 outlets in our directory ran this story, first to last over 17 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
- ▪ How much can you delegate to agents? — Hacker News (Front Page)
Hacker News (AI / LLM) files mainly under ai. We currently carry 2,855 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Ycombinator |
| Canonical URL | https://news.ycombinator.com/item?id=49092716 |
| Publication time | Wed, 29 Jul 2026 02:20:28 +0000 |
| Retrieval time | 2026-07-29T02:31:19.838Z |
| Last seen | 2026-07-29T02:31:19.838Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | tdPlkQVvnjyo · 3 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Question is specifically for GTM engineers and performance marketers. Curious if any agentic AI ad optimization tools have actually worked for you?I tried PMax on Google Ads and our sign ups increased but pipeline didn't move (most sign ups weren't relevant audience). I am evaluating Factors and Pixis.Curious what else should I look at?
Excerpt limited to ~120 words for fair-use compliance. The full article is at Ycombinator.