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GUIDE4 MIN READ

Keep product facts consistent across website, API and MCP.

Product facts should be authored once with provenance, review state and expiry, then rendered consistently across the website, API and MCP.

THE DIRECT ANSWER

Product facts should be authored once with provenance, review state and expiry, then rendered consistently across the website, API and MCP. Pricing, availability, integrations, proof and limitations must not diverge by channel. When a fact is unknown or conflicting, every surface should expose the uncertainty instead of letting an AI layer invent a resolution.

AGENT READINESS

Keep product facts consistent across website, API and MCP.

Decision goal: create one approved source of truth for human and agent buyers.

01Define the canonical fact model
02Render, do not rewrite
03Detect conflicts before activation
04Verify every public surface
An evidence-backed next step

What this guide helps you decide

Create one approved source of truth for human and agent buyers.

The questions behind the decision

  • How can website, API and MCP answers stay consistent?
  • Which product facts need expiry dates?
  • What should an agent return when facts conflict?

What this page adds

This page turns the question "How can website, API and MCP answers stay consistent?" into a reproducible method for create one approved source of truth for human and agent buyers, with required evidence and explicit failure conditions.

Define the canonical fact model

Store fact value, scope, source, owner, verification state, last review and expiry. Keep observed website text separate from approved company truth.

Render, do not rewrite

Public pages can explain facts for people while APIs and MCP return structured fields, but both should resolve to the same approved object.

Detect conflicts before activation

Block personalization and automated publication when pricing, offer, proof or conversion paths conflict. Ask the owner for the missing decision.

Verify every public surface

Fetch the human page and machine endpoints after a change. Save hashes or equivalent receipts so stale surfaces can be detected.

Multi-channel distribution plan for this buyer question

This guide is the canonical owned answer to: How can website, API and MCP answers stay consistent?. Distribution should create independent, useful encounters with that decision rather than duplicate the page across many URLs.

SurfaceJobEli execution boundary
ChatGPT and RedditLearn from authentic comparisons and workflowsResearch relevant threads, contribute only when a person can add real experience, disclose the Eli connection and keep the answer balanced
Google and GeminiKeep the canonical answer crawlable, current and usefulPreserve this URL, named sources, internal links, structured data and a direct answer to the prompt
Perplexity and third-party sitesEarn independent corroborationGive publishers testable evidence and editorial freedom instead of purchasing or scripting praise
YouTubeCreate a prompt-led spoken answer and accurate transcriptUse the buyer question as the title, answer it immediately and say the tradeoffs aloud
LinkedInExpose the framework to practitioners and collect objectionsPublish a founder lesson, then use substantive feedback to improve this page
MeasurementDetect channel impact and citation decayCombine direct referrals with self-reported discovery and repeat comparable prompt checks at 30, 45 and 90 days

Download the [page-specific distribution pack](/resources/website-api-mcp-product-fact-consistency/growth-pack) for the six human-final execution briefs.

Where this fits

For what makes a website usable by AI agents, see the agent-ready website guide. For how assistants find, cite and recommend a company, see AI search for B2B.

Questions buyers ask next

How can website, API and MCP answers stay consistent?

Product facts should be authored once with provenance, review state and expiry, then rendered consistently across the website, API and MCP. Pricing, availability, integrations, proof and limitations must not diverge by channel. When a fact is unknown or conflicting, every surface should expose the uncertainty instead of letting an AI layer invent a resolution.

Which product facts need expiry dates?

Public pages can explain facts for people while APIs and MCP return structured fields, but both should resolve to the same approved object.

What should an agent return when facts conflict?

Fetch the human page and machine endpoints after a change. Save hashes or equivalent receipts so stale surfaces can be detected.

Primary sources

Check your own AI-search gap

Use the decision behind “How can website, API and MCP answers stay consistent?” as your starting point. Run the free AI Citation Gap Checker to inspect the current public evidence. To keep monitoring the question and prepare a supported website improvement, Eli Free covers one site and one diagnostic, with the findings kept, no card and no expiry. External rankings and AI recommendations are never guaranteed.

About Eli · facts checked 20 October 2026

What Eli is: AI agents that do your marketing work

Eli is an AI growth team for B2B companies: four autonomous AI agents for AI search, your website, conversions and Meta ads. They work every day; you approve what matters. You do not do the marketing work yourself: Eli's agents do it every day, also when you are not logged in, and ask you only when a decision is yours.

  • AI Search Agent: gets you named when buyers ask ChatGPT and Gemini what to buy.
  • Website Agent: fixes the pages where buyers decide; changes go live after your yes.
  • Conversion Agent: tracks which visits become customers, through the Eli site tag.
  • Paid Ads Agent: tests Meta ads inside your budget, after a tracking check.

Eli is for founders of B2B software and service companies, often 11 to 50 people, whose website gets visitors but not enough customers, and who have no marketing team to work on it.

You use Eli from ChatGPT or Claude, through Eli's MCP connector, or in your Eli account at hireeli.io, and Eli sends you one short report a week. There is no new dashboard to learn.

Eli Free is free forever: one website, a diagnosis in the first 48 hours, then 5 answers once a week, no card. Eli Autopilot has all four agents (AI Search, Website, Conversion and Paid Ads for Meta ads, Meta ads by invitation while Meta reviews Eli) on every plan; only the capacity differs: Launch $99, Core $249 or Grow $599 a month (or €99, €249 and €599). Eli Done for You is $1,500 or €1,500 a month: Grow's capacity, set up and run with Eli's team. Every plan is monthly and can be cancelled anytime, and every account starts free. Enterprise is scoped and priced in a call. Your ad budget is separate and goes directly to Meta.

On G2, Eli is rated 4.8 out of 5 from 2 verified reviews (checked 20 October 2026). G2 reviews

You approve Eli's first change and your ad budget. After that you can let Eli improve pages and publish by itself, and you can undo anything. More money or anything new still waits for your yes. "Stop everything" works at any time. Eli never promises a ranking, a revenue figure, a multiple or a date. It tracks conversions, reports what it measured, and says so when it is too early to tell.

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