Question 1

How quickly can AI start recommending my brand?

Accepted Answer

Results depend on the platform, your market, and third-party authority signals. Some retrieval-based systems can reflect structured content improvements in weeks; indexing-based and training-cycle effects can take longer. We report measured movement against your baseline instead of guaranteeing a fixed timeline.

Question 2

How is AI visibility different from SEO?

Accepted Answer

SEO optimizes for keyword-based rankings in traditional search engines like Google. AI visibility work optimizes for entity relationships and source credibility inside AI models like ChatGPT, Gemini, and Perplexity, systems that synthesize answers rather than list links. A page can rank on page one of Google and still be completely invisible to AI.

Question 3

Which AI platforms do you cover?

Accepted Answer

Automated reports use the platforms that are currently calibrated for customer reporting. ChatGPT and Perplexity are the default calibrated probes; Gemini and Chinese-market platforms can be added for scoped engagements after calibration. Entity and schema optimization still benefits broader AI discovery surfaces, including Claude and Microsoft Copilot.

Question 4

What does an AI Visibility Check include?

Accepted Answer

The AI Visibility Check delivers a full Visibility Score report: (1) Scored breakdown across six visibility dimensions; (2) Per-platform live probes for currently calibrated platforms; (3) Competitor benchmarking where the probe data supports it; (4) Structured data and schema gaps; (5) Prioritized action plan with effort and impact ratings.

Question 5

Is AI Site Rebuild a website redesign? I already had my site redesigned last year.

Accepted Answer

The Rebuild is optional. Most customers get the AI-Readable Foundation (drop-in kit) instead. When a customer does opt in: no, and this is the most common confusion. AI Site Rebuild is not about how the site looks. Visual redesigns change colors, typography, and layout. Rebuild changes four layers that visual work never touches: (1) the data layer, where every product, person, and service becomes a structured entity with verifiable attributes; (2) the semantic layer, Schema.org + JSON-LD that tells AI models what each page actually is; (3) the LLM interface layer, llms.txt, retrieval-ready content, and crawler routing that determine whether AI can read and verify your site; (4) the decision-behavior layer, where we model the buying scenarios your prospects ask AI and engineer your site to answer them. If last year's redesign was visual, Rebuild is complementary, not duplicate.

Question 6

Will AI Site Rebuild touch our business systems: CRM, admin panels, internal workflows?

Accepted Answer

No. The Rebuild's scope is fixed: landing pages, product list, certificates, FAQ, and insights/blog. We do NOT touch online purchase, checkout, login, user accounts, admin panels, dashboards, workflow tools, or backend business logic. The Rebuild is a content and metadata engineering layer on top of your existing informational surface; your business operations run exactly as before.

Question 7

What exactly is included in the AI Site Rebuild?

Accepted Answer

A 6-week engineered deliverable across a fixed scope: landing, product list, certificates, FAQ, and insights/blog. (1) Content ETL from your existing on-site data. (2) Entity modeling: every product, service, and person mapped with verifiable attributes. (3) Schema + JSON-LD per key page, validated against Google Rich Results. (4) Retrieval-ready content + llms.txt + crawler routing. (5) Turnkey static CMS: your team ships product, certificate, FAQ, and post updates on your own cadence, no agency cycles required. (6) Weekly demos + scoped platform QA. Pricing is evaluated on your existing site complexity, not a flat rate.

Question 8

Why does AI Site Rebuild take 6 weeks, and where does the budget go?

Accepted Answer

AI visibility work is data engineering, not copywriting. Weeks 1–2 are content ETL and entity modeling; we interview your team, audit existing content, and map every product, service, and person as an entity with verifiable attributes. Weeks 3–4 are implementation: schema deployment, retrieval-ready content, internal linking, and llms.txt configuration. Weeks 5–6 are QA and iteration: we test your brand with scoped calibrated probes, measure movement against your baseline audit, and patch gaps before handover. Every step is auditable; you see exactly where the budget goes, with weekly demos and Git commits you can review. Pricing is evaluated on your existing site's complexity, not a flat rate.

Question 9

Why is Ongoing AI Visibility a monthly subscription, isn't this a one-time job like traditional SEO?

Accepted Answer

AI answers are not static. Major models retrain every 3–6 months and rebalance which sources they trust on every cycle. Your category also evolves: new competitors launch, new buying scenarios emerge, new product features become the question buyers actually ask. The AI-Readable Foundation (included with Ongoing) sets your base. The optional AI Site Rebuild deepens the engineering for customers who want it; it's not required. Ongoing keeps your brand present in the semantic field as the field itself changes. Skip this layer and the foundation alone won't compound as models update and competitors respond.

Question 10

What's the difference between the AI-Readable Foundation and the AI Site Rebuild?

Accepted Answer

The Foundation is a drop-in kit: llms.txt, JSON-LD bundle, robots.txt, and entity/passage page drafts that your team pastes into your current CMS. Every Ongoing subscriber gets it in month one; works on any CMS (WordPress, Shopify, Webflow, or custom). The Rebuild is a 6-week optional project that engineers your informational surface (landing, product list, certificates, FAQ, insights) as a native entity graph and hands over a simple static CMS for self-service. Foundation = artifacts you drop in. Rebuild = new informational surface we build. Most customers only need the Foundation.

Question 11

What is a "buying scenario", and why don't you track keyword rankings?

Accepted Answer

A buying scenario is a prompt that sits inside a real purchase decision: for example, "best B2B CRM for 50-person SaaS teams that integrates with HubSpot." AI models do not rank pages by keyword match; they synthesize answers from entities they already trust. Keyword stuffing triggers semantic noise that models interpret as manipulation, and they discount the source. Our work is scenario mapping: we enumerate the real prompts buyers type, model your brand as the entity that answers them, and measure which scenarios your brand now owns. Citation depth is the unit that matters; keyword rankings are the wrong ruler.

Question 12

How do I know Ongoing is working, what does success look like?

Accepted Answer

Three measurements, reported monthly. (1) Citation positions landed: of the scenarios mapped for your tier, how many now name or cite your brand in the AI answer. (2) Answer presence: how often your brand appears in answered buying scenarios, with competitor context shown separately when the probe data supports it. (3) Visibility-index delta across calibrated probes since baseline. We pair AI visibility metrics with business context because citations often resolve the buyer's question without a click.

Question 13

Why target 90+ and not a perfect 100?

Accepted Answer

A score of 90+ is an excellence target, not a guaranteed outcome. The remaining points are spread across categories that partly depend on model behavior, third-party authority, competitive movement, and signals outside your website's direct control. We report progress and constraints transparently instead of promising a fixed score.

Question 14

Do I need the Rebuild, or is the Foundation kit enough?

Accepted Answer

Most customers never need the Rebuild. Every Ongoing subscriber gets the AI-Readable Foundation (llms.txt, JSON-LD, robots.txt, and entity page drafts), which delivers the majority of AI-readability lift on any CMS. The Rebuild is an optional 6-week engineering project for customers who want their informational surface (landing, product list, certificates, FAQ, insights) engineered end-to-end. What you cannot skip is the Foundation itself. In March 2026, China's CCTV 315 programme exposed exactly this: fake articles promoting brands with no verifiable entity on-site, filtered out within two weeks of the broadcast. Content amplifies what your site already signals to AI.

Question 15

What is the relationship between DeepIntelli Visibility, DeepIntelli, AI Visibility, GEO, and AEO?

Accepted Answer

DeepIntelli Visibility (深智 · 智见) is our market-facing AI Visibility product brand, operated by the company DeepIntelli. We were formerly known as Deep Intelli; earlier brand names Deep Intelli Visibility, Deep Intelli GEO, 深智见答, and 深智 GEO all refer to the same team and product now operating under the DeepIntelli brand. What we deliver is AI Visibility: getting brands cited in AI-generated answers. GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) are the underlying methodologies: AEO is the broader umbrella covering all answer-engine optimization including voice and featured snippets; GEO is the GenAI-specific subset. We use GEO and AEO as methodology terms in our educational content, but our commercial offer is defined by the outcome (AI Visibility), not the acronym. Our website is visibility.dpintelli.com and our contact is contact@dpintelli.com.

Question 16

How is this different from AI content farms or fake citation schemes?

Accepted Answer

In March 2026, China's CCTV 315 consumer rights programme exposed operators who mass-generated AI articles to make brands appear in AI answers. Within two weeks, major AI platforms had filtered those citations entirely. Our approach is the structural opposite: we don't post on your behalf, we don't generate review floods, and we don't operate fake accounts. We build the on-site foundation (schema, llms.txt, entity graph) that gives AI systems something verifiable to cite. We run the monthly diagnosis and write the content. Your real team, with real accounts and real domain expertise, handles distribution. Authentic corroboration compounds; farmed volume collapses under model retraining.

Question 17

How do I cancel Ongoing Visibility?

Accepted Answer

Click the 'Manage subscription' link in any of our emails, or reply to any email and we'll handle it. One-click cancel in the Stripe Customer Portal. No retention calls, no forms to fill out.

Question 18

Can I upgrade from the one-time Check to Ongoing?

Accepted Answer

Yes. After your Check report is delivered, we email you a one-click upgrade link to start Ongoing Visibility. If you subscribe to Ongoing before getting the Check, your first month covers the baseline scan; no separate Check purchase needed.

Get Recommended by AI

What You Get

Visibility Report

AI-Readable Foundation

Ongoing Visibility

Who This Is For

How It Works

Check where you stand

Monitor every month

Stay cited as the category moves

Check where you stand

Monitor every month

Stay cited as the category moves

Compliant, efficient AI visibility, operated in partnership.

What we do

What you do

Why Founders Hire Us

Real Results

Three ways to start.

AI Visibility Check

Ongoing Visibility

AI Site Rebuild

Frequently Asked Questions

How quickly can AI start recommending my brand?

How is AI visibility different from SEO?

Which AI platforms do you cover?