AI visibility for
SaaS companies
Software buying now begins with a category question, and the answer is a shortlist of three to five names. If you are not on it, the rest of your funnel never runs — the buyer never reaches the comparison page you optimised, because the comparison already happened. OG01 measures the two things that decide whether a system can put you on that list: whether your company and product resolve to one entity, and whether anyone other than you associates that entity with the category.
The evaluation moved upstream of your website
The traditional SaaS funnel assumed the buyer arrives, reads, compares and decides. What increasingly happens is that the comparison is done before arrival, in a conversation with an assistant, using sources the buyer never names and you were never asked about. By the time anyone visits your site, the shortlist exists and you are either on it or you are the tab that was never opened.
This is why SaaS teams with excellent content marketing can watch demo requests fall without any metric explaining it. Nothing on the site got worse. The site simply stopped being the place where the decision narrows.
When the product outgrows the company
SaaS has a naming pattern almost no other sector shares: the product becomes better known than the legal entity behind it, and sometimes better known than the brand. Coverage, integrations, review platforms and community discussion all reference the product; the company is described thinly or not at all. To a system, that is two adjacent entities with partial information about each — and a competitor whose company and product are the same word resolves cleanly at no effort.
A second, quieter risk: your documentation frequently contains the best explanations you have ever written, and it lives on a subdomain, behind a docs framework, sometimes rendered entirely client-side. The clearest answers your company has produced can be the least retrievable pages you own.
Demand generation, usually under pressure
This is bought by VPs of marketing and demand-generation leads, and the context is normally a pipeline conversation rather than an SEO one. The useful property of an external reading in that room is that it is not produced by the team being asked to explain the numbers, and it places the company on the same scale as named competitors.
Founders buy it too, generally after hearing an assistant describe their category and not recognising the shortlist.
Unify the entity, then earn the category association
- Resolve company and product. Decide which is the primary entity and make every record agree — site, profiles, listings, structured data. Fast, structural, and usually the single largest movement in a rescore.
- Make the documentation retrievable. Your docs answer real questions better than your marketing pages do. Getting that content into a form a retrieval request receives converts an existing asset rather than commissioning a new one.
- State the category plainly. Many SaaS sites describe an outcome and never name the category a buyer is searching. If your pages never say what kind of software this is, a system has to infer it.
- Earn third-party association. The slowest item, and the one that most changes shortlists: independent sources describing you in category terms.
Rescore against your release cadence. SaaS sites change constantly, so a rescore taken at an arbitrary moment mixes remediation with whatever shipped that fortnight. Anchoring the second reading to a comparable point in a release cycle keeps the comparison about the work.
SaaS questions
Should we score our marketing site or our docs subdomain?
Our product name is stronger than our company name. Is that a problem?
Can you tell us which prompts we appear in?
We are pre-revenue with little third-party coverage. Is this too early?
How does this differ from what our SEO agency already does?
When should a SaaS company rescore?
Free, about ninety seconds, no card. The deeper reading shows the category answers themselves.