AEO is not one discipline. It is three, and they map to company stage. The most expensive mistake we see is stage mismatch: a seed company buying enterprise tracking, a Series B running on founder charisma alone, a Series D discovering its peer set is being described daily by machines it has never once audited. The work is different at each altitude. Run yours.
Seed: be findable, be true, buy nothing
At seed, the entire program is hygiene and proof. Entity hygiene first: one canonical company name, identical facts everywhere a machine might look, a site that states plainly what you do, for whom, with what evidence. Models cannot cite a company they cannot resolve. Then ungated proof: your best technical thinking published in the open, because a gated PDF is invisible to the answer layer and mostly invisible to buyers too. The founder is the citation surface at this stage. A founder who writes specifically and publicly about the problem space will get cited before the company does, and that is fine. That is the asset. What you should not do is buy tooling. A dashboard tracking your citation share of nothing is a subscription, not a strategy.
Series A and B: instrument the questions that decide deals
Now there is a real category conversation happening about you, or conspicuously without you, and the job becomes measurement. Take a baseline: what the assistants say when buyers ask the questions that decide your deals. There are usually about twenty such questions, and prompt coverage on those twenty matters more than presence on two hundred generic ones. Write them down, test them monthly, track who gets cited and what gets said. We walk through the mechanics in your first citation share baseline. The other growth-stage job is third-party proof at volume: reviews on the platforms your category trusts, references in the communities where your buyers ask for names. Models weigh independent sources heavily, and at this stage you finally have enough customers to generate them systematically instead of begging one at a time.
Series C, D and beyond: defend the record
At late stage the program inverts, from claiming ground to defending it. Full peer-set tracking, because you are now compared by default in every synthesized answer whether you participate or not. Sentiment defense, because the models are reading your press coverage, your review outliers, and your court filings, and blending them into a composite verdict a prospect hears before your team does. A recognition lifecycle, meaning the analyst mentions, awards, and rankings that machines treat as evidence get earned, renewed, and retired deliberately instead of accumulating like old trophies. And board reporting, because AI visibility is now a line worth reading next to pipeline. This altitude is also where mature machinery pays fastest. A Series D identity verification platform went from sixth to first in AI visibility in its category in a single quarter, into a negative press cycle. That is what sentiment defense looks like when the instrumentation already exists before the bad week arrives.
The mistake is running the next stage's playbook
Stage mismatch almost always runs one direction: reaching for the next stage's playbook because it looks more serious. The seed founder buys tracking software instead of publishing anything worth tracking. The Series B team builds a sentiment war room before it has baselined its twenty questions. Occasionally the error inverts, and a late-stage company still runs the seed playbook while its peer set gets professionally described. Either way the diagnosis is the same. Sophistication you have not earned is not maturity, it is costume. Do the work your stage requires, and the next stage's playbook will still be there when you arrive.
Wherever you sit, the free self-audit will tell you in a few minutes which stage's work you are actually doing.