Generative Engine Optimization Strategy for Enterprises: A 90-Day Rollout Plan

If you've been asked to "do something about AI search" for a company with more than one brand and more than one content team, the hard part isn't knowing what good content looks like. It's sequencing — figuring out what to ship in what order, who has to sign off, and how you'll prove at the end of the quarter that it worked.

This is a 90-day plan you can hand to stakeholders. It assumes a large organization, distributed content ownership, and a budget review at the end.

Settle these four questions before week 1

Programs that skip this stall around week 6, every time.

Who owns the one-sentence company description? You will need a single sentence describing what the company does, used verbatim everywhere. Producing it requires someone with authority over product marketing, comms, and legal at once. Name that person now
Which brands are in scope? If you have sub-brands, decide whether you're working on the parent, one sub-brand, or the relationships between them. All three at once is how quarters get wasted
Who can edit the highest-intent pages? Not who approves — who actually pushes the change. If it's a queue with a six-week lead time, your 90-day plan is a 150-day plan
What counts as success? Agree the metric before the baseline. See the measurement section

Weeks 1–2: baseline, and don't change anything

The strongest temptation is to start fixing. Don't — if you change pages before recording a baseline, you cannot demonstrate effect later, and the program gets cut at review regardless of whether it worked.

Deliverable: a frozen query set and a recorded baseline.

Write 20–40 questions a real buyer would type. Use customer-service transcripts and sales-call notes as the source, not internal vocabulary
Freeze the list. Changing it mid-program destroys comparability
Run every question on ChatGPT, Claude, Gemini, and Perplexity. Platform behavior diverges enough that one platform is not a baseline
Save the raw answer text, not just whether you appeared. In month four the aggregate number won't tell you why anything moved
Record two things per result: did you appear, and if so was the description accurate

Also do the five-minute technical check: load your key pages with JavaScript disabled. If the content isn't there, crawlers aren't seeing it, and no content work matters until that's fixed.

Weeks 3–6: identity only

Resist content rewriting for another month. First make sure AI systems can tell who you are, because if they can't, rewriting pages changes nothing.

Run the diagnostic: ask four engines "what is [company name]." Look for a wrong parent company, a wrong founding year, a wrong category, or a confident description of a different business with a similar name. Any of those is an identity problem.

Deliverables:

The canonical sentence, agreed and deployed — website, press boilerplate, LinkedIn, docs, every social profile, verbatim and identical. Not variations on a theme
Relationship statements in plain prose — "Acme Cloud is a subsidiary of Acme Group," written as a sentence on both sites. A logo lockup does not communicate this to a machine
One consistent name form. Pick the legal name, the trading name, or the abbreviation, and stop alternating
Disambiguation text if another company shares your name — state plainly what you are not, in crawlable text

This is the least exciting month of the program and the highest-leverage one. It also tends to be the month where the program nearly dies, because it doesn't look like marketing work and it requires cross-functional sign-off. Budget political capital accordingly.

Weeks 7–12: rewrite the top pages only

Now content — and only the highest-intent pages. Ten to fifteen, not the whole site. Trying to do the site is why programs show nothing at week 12.

For each page, the rewrite is mechanical:

One question per heading, with the answer in the first sentence underneath. Replace label headings ("Our Approach") with the question a buyer would actually ask
Claim first, support after. Extraction takes the top of a block, so a conclusion buried in paragraph four is invisible
Every comparative adjective gets a number or gets deleted. "Faster," "leading," "more reliable" cannot be quoted by a machine
State what you do, who it's for, and what makes you different in explicit sentences, even where the design implies it
Add author, date, and basis in text near the top — not in a footer image
Define your own terms the first time they appear

The five signals worth auditing against — identity, product, audience, credibility, differentiation — come from the checklist in GEO: The New Enterprise Gateway in the AI Era (Huang Shuang, Li Jing, Wu Hao, Luo Wei, Yuntao Zou). For each page ask the narrow version: could an engine answer this from this page alone, in one sentence, without inferring?

Re-measure at week 12 against the frozen set. Same questions, same platforms, same coding.

Month 4 onward: third-party description

This one doesn't fit in 90 days, so plan it as ongoing from the start.

AI systems weight what other people say about you more heavily than what you say. And they weight describing sentences differently from links: a sentence on a credible third-party page saying "X is a provider of Y for Z" is text the engine can reuse directly. A backlink is not.

What accumulates: analyst coverage, trade press that describes rather than announces, partner documentation and integration pages, community discussion, standards or academic citation where it applies.

The enterprise trap here is press-release volume. Forty announcements a year generate almost no corroborating description, because announcements describe events, not identity. Ten partner docs pages explaining what your product does are worth more than the entire newsroom.

Measurement: two metrics, not one

Track both:

Mention rate — of your frozen questions, in what share do you appear at all
Description accuracy — when you appear, is what's said correct

The second is the one that predicts commercial outcomes and the one everyone forgets. A brand mentioned in 80% of answers and described wrong in half of them is in worse shape than one mentioned in 40% and described correctly — being confidently misrepresented at scale is its own problem.

Cadence: biweekly. Daily checking mostly measures sampling noise, since the candidate set is assembled per query and small rephrasings shift it.

Set expectations at the start: twelve weeks is roughly the earliest point at which a real change is distinguishable from noise. Programs promising movement in three weeks abandon correct work.

Common questions

Can we just add schema markup and be done?

No. Structured data helps machines parse a page, but it doesn't create the thing being parsed. If the page doesn't state a specific claim in prose, marking it up changes nothing. Do it — after the rewrite, not instead of it.

Should we build a separate site or microsite for this?

Usually not. A new domain starts with no corroboration and splits whatever authority you have. Two exceptions: you're targeting a genuinely different audience with different vocabulary, or the main site is technically un-fixable within the timeframe.

Our content team wants to publish more. Will volume help?

Not on its own. Frequency affects crawl freshness, not citation likelihood. Six substantive pieces outperform sixty thin ones, and thin volume can actively hurt by diluting which page an engine treats as canonical for a topic.

How do we know if the problem is content or identity?

Ask the engines who you are before you ask what you do. Wrong or inconsistent answers to "what is [company]" mean identity, and content work will produce no movement until that's fixed. See this case study for what that failure looks like in practice.

What if we appear but a competitor is always recommended over us?

That's usually a corroboration gap, not a content gap — they have more third-party describing sentences than you do. Month 4 work, and it's slow.