Hello Openbenchmarks
I ran 36 searches a buyer or an agent would run for the tools you test. Openbenchmarks appeared in 26 of them, at a median position of 6th, and reached the top 3 twice. I also wrote up and charted the company enrichment benchmark the way I'd publish it. Both are in the next slides.
James Praise · Marketing and GTM Operator
I'd start with search position, because that's where the numbers already point. I checked where every benchmark ranks and wrote up one of them with charts. Read the audit and write-up →
Fenil's recent post put the citation rate at close to 100% when a benchmark is in the search results. That makes rank the step everything else depends on. Right now 71% of the top-3 slots on those 36 searches go to pages written by vendors selling in that category, and head-to-head searches like "Parallel vs Exa" are where that gap is widest.
The first month would be a fix list more than a content calendar: make the pages you already have rank, give each head-to-head its own answer, and write up each new result so a human wants to share it and an agent can quote it. The posts that already move people, like the TinyFish one, show which format to repeat.
The audit and the enrichment write-up are built from your public data, with two charts generated from the benchmark API and a proposal for the next benchmark. See the full page →
At Reform, I built an AI SEO content pipeline that lifted non-branded organic traffic 48% and comparison pages that brought in 19% more decision-stage leads. At Distrobird, a seed-stage sales engagement tool, I ranked 3,000+ keywords in 90 days. I run the Marketing In Action newsletter, and I'm a buyer of the tools you test: my prospect engine compares enrichment and email sources on real sends before I trust them. The skills I use for AI search audits are public in Marketing Agent Skills.
If this is the right problem for you, I'd like to talk about it directly.