Find out why AI assistants don't recommend you
Twenty tools will tell you that ChatGPT didn't mention your brand. Almost none will tell you why not, or what to change. RawMktg diagnoses the cause and generates the fix.
No card required. Audits 25 pages and takes about two minutes.
Product screenshotYour buyers stopped clicking ten blue links
When someone asks an AI assistant "what's the best field service software", they get an answer, three or four vendors, named and described. Not a list of pages to evaluate. A recommendation.
If your brand isn't in that answer, you are not losing a ranking position. You are absent from the shortlist entirely, and nothing in your analytics will tell you it happened.
Four problems that look identical from the outside
"We're not being mentioned" has at least four distinct causes, and they need opposite fixes. RawMktg tests each one separately.
Measure
How often are you actually named, across a repeatable set of buying questions? With a confidence interval, so you can tell a real change from sampling noise.
Does the model know you exist?
Some brands are missing from the model's memory of the category. That is an off-site, entity and corroboration problem. No amount of on-page editing fixes it.
Can a bot actually read your pages?
AI crawlers fetch differently from browsers. Pages that render fine for a human can return almost nothing to a bot. We measure exactly how much survives.
Can your content be quoted?
Retrievable is not the same as quotable. An assistant composing an answer needs a self-contained, factual passage it can lift. Most marketing pages don't have one.
You cannot fix a mention problem with better on-page content, and you cannot fix a citation problem with more press coverage. Knowing which one you have is the entire point.
How it works
Point it at your site
We crawl the way an AI crawler does, respecting robots.txt, at a modest rate, identifying ourselves honestly.
Get findings, not a score
Seven scoring rubrics and around fifty individual checks produce specific, located faults: this page, this problem, this fix, worth this many points.
Apply generated fixes
Findings come with artefacts, JSON-LD structured data, rewritten answer blocks, llms.txt files, content briefs, not just advice.
Measure whether it worked
On paid plans we ask AI assistants your buying questions on a schedule and report your share of their answers against named competitors, over time.
Built to be honest about uncertainty
Product screenshotEvery number carries an interval
AI answers vary run to run. A tool that samples once and reports a percentage is reporting noise. We sample repeatedly and publish the range.
No arrow without significance
When a change is not statistically distinguishable from noise, we say "no significant change" and draw nothing. Most dashboards will happily show you a trend that isn't there.
Measured and asserted are kept apart
Some inputs can't be measured, whether you publish original research, for instance. Those are labelled "asserted, not measured" and never quietly blended into a score.
Competitors cost nothing extra
Your competitors are scored from the same answers we already collected. We don't charge per tracked brand, because there is no marginal cost to us.
Who it's for
B2B SaaS marketing teams
You own the pipeline number and AI search is quietly changing it.
See the B2B SaaS use case →Technical SEO leads
You need to know which pages a bot can't retrieve, and why.
See the technical SEO use case →Start with your own site
The free audit crawls 25 pages and returns real findings. No card, no call, no trial countdown.