Practitioners tested 360 ChatGPT search queries across B2B SaaS. The number that matters for you is how often vendor sites got cited, which came to about 36% of the time. Roughly a third of the citation surface, then, can be won directly with your own pages, while the rest routes through third parties. Both halves respond to specific work you can finish, which is why this checklist is worth a quarter of your Fridays.
What follows is the vendor version of that work. It has 20 items in five blocks, ordered by payoff, and each one carries the one-line reason it earned its place. We sized the whole thing so a real team finishes it.
Why this isn't your old SEO checklist
It's the same discipline as classic SEO with different physics underneath. You probably have an SEO checklist already, so here are the four structural differences that keep this one from being a duplicate.
Every page now has two audiences: the humans reading it and the machines quoting it. Some items below look cosmetic, like plain-text pricing or labeled buttons, and they exist for that second audience.
Documentation got promoted. Classic SEO treated docs as an afterthought behind the blog, and the citation data turns that upside down, which is why block B starts with docs. Reviews changed jobs, too. They used to be social proof for humans late in the deal, and now they're retrieval material for the engines assembling shortlists, which makes them a visibility program instead of a sales concern.
The fourth difference is measurement. One blended rank report can't see the surface this checklist optimizes, so the instrumentation block works engine by engine or it's decoration.
Block A: access and rendering, the gate
Nothing else on this list matters while the gate is shut, so the first two items check it. Look at robots.txt and your CDN or firewall bot rules for GPTBot, OAI-SearchBot, ClaudeBot and PerplexityBot. A block there is the most common cause of total AI invisibility, and it's usually a security default nobody chose. Then fetch your key pages as those user agents and confirm in server logs that real content comes back rather than a challenge page.
Rendering is the other half of the gate. Many AI fetchers never execute your JavaScript bundle, so the money pages (home, pricing, docs and comparisons) have to carry their content in the initial HTML. Facts baked into images fail the same way, since a price or feature that exists only inside an image is invisible to the machine audience.
Block B: the money pages, where vendors win directly
The 360-query test had a second finding worth building around. Documentation pages over-performed everything else, because buyers at the evaluation stage ask spec-shaped questions and engines quote whatever answers them plainly.
So treat your docs as marketing surface. Public, crawlable, answer-first documentation (integration guides, limits, APIs, how-it-works) is the highest-citation-rate real estate you own, and putting it behind a login forfeits the whole advantage. Pricing needs the same plainness. Print both billing cycles, put the tiers in a real table and give enterprise at least a floor, because a page an engine can quote is a page that makes AI shortlists.
Comparison pages come next. Put your product against the alternatives buyers actually weigh and state the genuine trade-offs, since comparison-shaped queries pull comparison-shaped pages. On every commercial page, answer the question in the first two sentences, shape the headings like buyer questions and add real FAQ blocks, which is the structure engines quote.
Item 9 comes straight from your sales calls. Every recurring demo question is an article an engine could cite, so your call notes are a content calendar nobody's using.
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Block C: the corpus written about you
This is the block vendors skip, because none of it happens on their own site. That's a mistake, since recommendation answers get assembled here: when buyers ask for the best anything, engines synthesize the third-party layer.
Reviews are the clearest case. ChatGPT's retrieval visibly queries review-site content, so your reviews are answer material whether humans read them or not, and a steady flow of fresh ones naming specific use cases beats a big dormant pile. The roundups and comparisons engines cite for your category show up right in the answers, which tells you which list authors to approach about genuine inclusion.
Communities work the same way. Threads where your category gets discussed are among the most-cited sources, and the customer voice in them is the voice engines quote, so show up with honest, useful participation. Then keep the entity coherent, with one product name spelled one way across your site, reviews, directories and social profiles, so every mention strengthens one entity instead of fragmenting into three.
Block D: freshness and maintenance
Freshness is a first-class retrieval signal, and a stale date reads as a stale fact. Put visible dates on your pages that reflect real changes, and touch your money pages every month too. Citation positions churn heavily from month to month, and the cheapest defense is being the recently updated option.
The third item here is re-verifying after site changes. Redesigns and replatforms silently break access and rendering, and re-running the first three items of block A takes minutes and catches it.
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Block E: measurement, so the checklist learns
Measurement starts with a fixed panel of the 15-25 questions buyers ask before they find you. Run it weekly per engine and log named and cited separately. Buyers increasingly start in the chat window, and this panel is the only scoreboard that sees it.
The free floor takes an afternoon in total: Search Console's Generative AI report, a GA4 AI channel group and Bing Webmaster Tools, and every later decision leans on them. Add the survey field "How did you hear about us," with an explicit AI option, since it catches the journeys no referrer survives. Then review the panel monthly against the work you shipped, so you can see which completed items moved which engines and point next quarter's Fridays where the evidence says.
Three vendor mistakes this list exists to prevent
Each item traces back to a failure we keep seeing, and naming them makes the items stick.
The first is the gated-docs regret. A vendor moves its documentation behind a login for lead capture, then watches citation share drain to competitors whose docs stayed public, and spends two quarters winning back answers it used to own. Item 5 exists to pre-empt that story.
Nothing here hides better than the redesign regression. A beautiful new site ships with client-side rendering and a stricter CDN, and nobody re-checks access. AI visibility quietly dies behind a stable Google ranking, and someone discovers it months later, which is why item 16 is on the list.
The review drought is the slowest of the three, and item 10 is its antidote at the cost of one automated ask per happy customer. It starts when a strong launch-year review base goes dormant while engines increasingly weight recency. Shortlists rotate toward louder rivals, and the dashboard's total-review count stays reassuring the whole time.
If you only do five things
If your team won't finish the list this quarter, rank by payoff per hour and do these:
| Priority | Items | Why |
|---|---|---|
| Access audit | 1-2 | Everything else is moot while it fails |
| Docs-as-marketing decision | 5 | The highest-citation-rate surface you already own |
| Pricing flatten | 6 | One afternoon, permanent shortlist eligibility |
| Review cadence | 10 | The off-site item with the most direct line to recommendation answers |
| Prompt panel | 17 | Without it the other four are running on faith |
Those five take a month of Fridays and cover both halves of the 36% finding: your own pages and the corpus around them.
Running it as a team
The list only survives contact with a real org if every block has an owner. Here's the split that works at typical SaaS scale:
| Block | Owner | How it runs |
|---|---|---|
| A | Engineering | Four items in one afternoon, then a re-check ritual after deploys |
| B | Product marketing | One money page per week, with the docs decision escalated once because it's a policy call rather than a task |
| C | Customer success and community | The review cadence and community presence live where they already work |
| D | Content | The cadence runs as part of the editorial calendar |
| E | Growth | The monthly attribution review that closes the loop |
The difference between a checklist and a program is whether it fits inside meetings you already run. This one does, with one Friday hour per owner and a shared done-definition for each item, checked in that same monthly review.
The condensed version, for the ticket
Here's the print block:
| Block | Items |
|---|---|
| A | 1 admit crawlers, 2 verify in logs, 3 server-render money pages, 4 kill image-locked facts |
| B | 5 docs public and answer-first, 6 pricing in plain text, 7 honest comparisons, 8 answer-first structure, 9 publish sales-call questions |
| C | 10 review cadence, 11 list-page inclusion, 12 community presence, 13 entity coherence |
| D | 14 honest dates, 15 monthly touches, 16 re-verify after changes |
| E | 17 prompt panel, 18 free measurement floor, 19 survey field, 20 monthly attribution review |
One closing note: the low answer-overlap finding in that 360-query test works in your favor. Answers vary heavily between runs and engines, so incumbents haven't locked up the citation surface, and a vendor who completes this list is competing for slots that really do reshuffle. Is a fifth of your Fridays worth a seat at that reshuffle? The weekly per-engine tracking that item 17 describes will tell you within a month, and by item 20 your own data answers the question.
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