

Claude Code by Anthropic | AI Coding Agent, Terminal, IDE
openai/openai.com · generated draft
Claude Code moved from developer docs into a named product surface, which gives answer engines a citeable page for coding-agent recommendations.
Show Codex as a reviewable team workflow: repo context, proposed diffs, tests, and human approval before merge.
Turn issues into reviewed pull requests with Codex.
Codex works from your repository context to propose changes, surface test evidence, and keep every merge decision in a developer's hands.
CTA: See Codex for teams
Hypothesis: Evaluation-intent engineering leaders will convert at a higher rate when the existing Codex page shows a concrete team PR workflow, source-backed proof, and a specific workflow CTA.


Claude Code by Anthropic | AI Coding Agent, Terminal, IDE
Generic developer documentation became a named Claude Code product surface.
Hero, workflow proof, and CTA variant
+--- +title: "Turn issues into reviewed pull requests with Codex." +status: draft +source: competitive-work-graph +--- + +# Turn issues into reviewed pull requests with Codex. + +Codex works from your repository context to propose changes, surface test evidence, and keep every merge decision in a developer's hands. + +CTA: See Codex for teams + +## From task to outcome +- Start with an issue and repo context so Codex can propose the files to change. +- Review proposed diffs, test output, and checkpoints before merge. +- Help evaluators compare workflow, controls, and PR quality from one page. + +## Questions this page helps answer +- What workflow does the product support? +- What evidence can the buyer inspect before choosing it? +- How does the team decide whether this page should replace the control?
FAQ schema for buyer questions and answer extraction
+export const competitiveFaq = [
+ {
+ question: "Codex vs Claude Code for enterprise software teams",
+ answer: "Codex supports reviewable workflows with repo context, proposed diffs, test evidence, and human approval."
+ }
+];Duplicate challenger page for path-level experiment
+--- +title: "Turn issues into reviewed pull requests with Codex." +status: draft +source: competitive-work-graph +--- + +# Turn issues into reviewed pull requests with Codex. + +Codex works from your repository context to propose changes, surface test evidence, and keep every merge decision in a developer's hands. + +CTA: See Codex for teams + +## From task to outcome +- Start with an issue and repo context so Codex can propose the files to change. +- Review proposed diffs, test output, and checkpoints before merge. +- Help evaluators compare workflow, controls, and PR quality from one page. + +## Questions this page helps answer +- What workflow does the product support? +- What evidence can the buyer inspect before choosing it? +- How does the team decide whether this page should replace the control?
Stable traffic rewrite from control route to challenger route
+const EXPERIMENT_ID = "codex_workflow_aeo";
+const ROLLOUT_PERCENT = 50;
+
+export function middleware(request) {
+ if (request.nextUrl.pathname !== "/codex") return NextResponse.next();
+ const bucketKey = request.cookies.get("mktg_engineer_bucket")?.value || "anonymous";
+ if (stableBucket(bucketKey) >= ROLLOUT_PERCENT) return NextResponse.next();
+ const url = request.nextUrl.clone();
+ url.pathname = "/codex/workflow-review";
+ const response = NextResponse.rewrite(url);
+ response.headers.set("x-mktg-engineer-experiment", EXPERIMENT_ID);
+ response.headers.set("x-mktg-engineer-variant", "challenger");
+ return response;
+}Paid-message challenger paired with the page experiment
+{
+ "control": "Use Codex to keep your PRs green and your project shipping. Try Codex for free.",
+ "challenger": "Evaluating AI coding agents? See how Codex creates reviewable PRs with repo context, tests, and enterprise controls.",
+ "approval": "human_review_required",
+ "scale_rule": "lower CPL with stable lead quality and clean claim review"
+}Answer-monitor prompts for launch review
+{
+ "target_brand": "OpenAI",
+ "response_id": "resp-codex-claude-code",
+ "prompts": [
+ "Codex vs Claude Code for enterprise software teams",
+ "Best AI coding agent for keeping pull requests green",
+ "Which AI coding assistant has the best enterprise controls?"
+ ],
+ "gate": "ship only when OpenAI is cited, positively framed, and claim-safe"
+}Citation, demo-click, and lead-quality gate
+experiment: + name: "Codex workflow proof variant" + gate: human_approval_required + profound_checks: + - prompt: "Codex vs Claude Code for enterprise software teams" + win_condition: citation inclusion improves without unsupported claims + content_variant: + page: "src/content/codex/index.mdx" + traffic_split: 50 + paid_variant: + name: "Coding-agent evaluation creative" + scale_rule: lower CPL with stable lead quality