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Proof

Two brands. Two gaps. Both closed.

Both case studies are anonymised at the client's request, and both are real. They are the two gaps the Signal Five is built to find: a brand that wins when it is named but is never named, and a brand the models cannot even reach. We can walk you through either full report under NDA on a 20-minute call.

Non-profit · standards

“Wins 98% of head-to-head AI comparisons. Gets recommended unprompted 2% of the time.”

The situation

A global standards body, the recognised authority in its field. When a buyer named it in a question, every model agreed it was the best answer. The problem was that buyers were not naming it: the organisation was missing from the open question entirely.

What the scan found

The Signal Five scan put numbers on it. A 98% head-to-head win rate against a 2% spontaneous recommendation rate: the category leader in reality, almost absent from the answer. Source attribution showed why. The pages models cite for the category did not mention it.

The action plan

The action plan was specific. Two new pages, written to be citable for the high-traffic category questions, and a citation play to earn placement in the third-party sources the models were already pulling from.

Spontaneous recommendation rate
Before
2%
After 8 weeks
62%

Two pages and a citation play closed 60 points of the gap in eight weeks.

B2B SaaS

“Excellent editorial output. Completely invisible to every major LLM crawler.”

The situation

An enterprise software vendor with a serious content operation: deep technical writing, a real editorial calendar, the kind of material models should be learning from. None of it was landing in any answer.

What the scan found

The discovery scan found the cause in minutes. The vendor's WAF was quietly blocking every crawler the major models rely on, GPTBot, ClaudeBot, PerplexityBot, Common Crawl, Google-Extended. Months of editorial work, gated behind one firewall rule.

The action plan

One WAF rule change to let the AI crawlers through, and an llms.txt drop to point them straight at the content worth indexing.

AI crawlers reaching the site
Before
0 / 5 bots
After 11 days
5 / 5 bots

One WAF rule and an llms.txt drop made the brand fully indexable in eleven days.

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