Question 1

What is Generative Engine Optimization (GEO)?

Accepted Answer

Generative Engine Optimization (GEO) is the practice of making a company's brand, products, and content legible to AI retrieval systems, so that when a buyer asks ChatGPT, Perplexity, Claude, or Gemini for a recommendation, the company shows up in the answer. GEO is not SEO. Only 12% of domains cited by ChatGPT appear in Google's top 10 for the same query (Ahrefs, 2025). A company can rank first on Google and be absent from every AI answer in its category.

Question 2

What is Answer Engine Optimization (AEO)?

Accepted Answer

Answer Engine Optimization (AEO) is the practice of structuring content so it becomes the answer an AI model returns, rather than one ranked link among many. AEO and GEO overlap heavily. AEO focuses on direct-answer surfaces (Google AI Overviews, ChatGPT direct answers, Perplexity answers). GEO covers the broader retrieval, citation, and entity-graph stack across all 8 LLMs. Most practitioners now use the terms interchangeably. VISIBLD audits both as one discipline.

Question 3

What is the difference between GEO, AEO, and SEO?

Accepted Answer

SEO optimizes for Google's ranking algorithm: backlinks, keywords, domain authority, crawlability. AEO optimizes for direct-answer surfaces: passage extractability, FAQ schema, AI Overview eligibility. GEO is the umbrella discipline: citation graph density, entity consistency across knowledge graphs, content built for retrieval-augmented generation, statistical density, and per-platform visibility across all 8 LLMs. Only 12% of domains cited by ChatGPT appear in Google's top 10 (Ahrefs, 2025). The channels are distinct.

Question 4

Why does AI visibility matter for my business?

Accepted Answer

94% of B2B buyers use AI during software evaluation (6sense, 2025, n=3,986). 68% of consumers use AI to research products before buying (McKinsey, 2026). 80% of B2B deals go to a vendor on the buyer's day-one shortlist (6sense, 2025), and that shortlist is now assembled inside an LLM before anyone contacts a vendor. AI-referred sessions convert at 4.4 times the rate of organic search (Semrush, 2025). Companies missing from AI answers are cut from shortlists they never knew existed.

Question 5

What is a GEO Score?

Accepted Answer

The VISIBLD GEO Score is a weighted composite from 0 to 100 across five layers: Technical (25%, roughly 90 to 100% measured), Content (10%, measured spine plus expert quality), Entity (20%, measured plus expert), Distribution (20%, partly measured, partly assisted), and Authority (25%, expert plus human verification). Every score reports its measured fraction: how much is hard data and how much is expert judgment. Grades: A is 85 to 100, B is 70 to 84, C is 55 to 69, D is 40 to 54, F is 0 to 39.

Question 6

What is the "measured fraction" VISIBLD reports?

Accepted Answer

The measured fraction is the share of a score backed by hard data (live API calls, deterministic crawl, real existence checks) versus expert judgment. Technical is roughly 90 to 100% measured. Content is a measured spine with expert quality scoring. Entity is measured against Wikidata, Wikipedia, and the Knowledge Graph, plus expert disambiguation. Distribution is partly measured and partly assisted. Authority is expert plus human credential verification, which matters most for YMYL brands. Reporting the measured fraction is how every VISIBLD audit stays defensible line by line.

Question 7

What is AI Share of Voice (AI SOV)?

Accepted Answer

AI Share of Voice is the percentage of LLM answers to category buyer prompts that include a specific brand, computed from real logged responses rather than estimates. VISIBLD reports AI SOV for your brand and every named competitor, per platform, built only from the live grounded test against ChatGPT, Claude, Gemini, Perplexity, and Grok. Untested cells show a dash, never a fabricated mark.

Question 8

What does VISIBLD mean by hallucination detection?

Accepted Answer

A hallucination is something an LLM states about your brand that is wrong: incorrect pricing, invented features, the wrong category, executives who don't exist. VISIBLD's hallucination and brand-safety scan checks responses against a verified fact sheet and flags four categories: contradictions (conflict with a known fact), unverified claims (specific and checkable but not in the fact sheet, so a human verifies), fabrication risks (invented people, awards, figures), and brand-safety flags (negative framing, namesake confusion). A claim is never labeled false without a fact-sheet basis.

Question 9

How does VISIBLD test all 8 platforms?

Accepted Answer

Five are grounded and fully automated: ChatGPT, Claude, Gemini, Perplexity, and Grok. Prompts run live, the answer text and cited URLs are captured, and every request and response is saved as evidence. DeepSeek is tested automatically but answers from training memory, so it is flagged in every report. Google AI Overviews and Microsoft Copilot have no public API, so VISIBLD captures them through a documented manual protocol (clean session, region noted, screenshot plus full text) and labels them ASSISTED. Grounded and ungrounded results are never blended.

Question 10

What does VISIBLD NOT claim?

Accepted Answer

VISIBLD will not invent exact AI-search rankings or query volumes, because no platform exposes them. No live Google AI Overviews or Copilot via API, because none exists. No backlink or domain-authority numbers without a real third-party API key. No "are we in the training data" detection, because it is not measurable. No social follower or engagement counts, because most of those APIs are closed or paid. Where a number is not real, VISIBLD shows a dash and tells you how to obtain it. For YMYL and high-stakes clients, that discipline is the point.

Question 11

How do I get my company to show up in ChatGPT?

Accepted Answer

ChatGPT relies on three signals: parametric memory (its training data), live retrieval through Bing, and retrieval-augmented browsing. To appear in ChatGPT answers you need (1) a Wikipedia entry, since Wikipedia is 47.9% of ChatGPT citations per Yext's analysis of 17.2M citations; (2) consistent entity data across Wikidata, Crunchbase, and LinkedIn; (3) FAQ schema and answer-first passages on your own pages; (4) third-party citations on review platforms, Reddit, and press; (5) GPTBot allowed in robots.txt.

Question 12

How do I rank in Perplexity AI?

Accepted Answer

Perplexity uses real-time web retrieval with no parametric memory layer. It cites whatever its index returns at query time. Reddit alone accounts for 46.7% of Perplexity citations in B2B verticals (Foundation and AirOps, 57M citations). To rank in Perplexity: (1) build an active Reddit presence in your category subreddits; (2) publish answer-first content with statistics and named sources, since statistical density correlates with a 37% lift in citation probability (Princeton GEO research, 2024); (3) earn citations on G2, Capterra, Trustpilot, and similar platforms; (4) keep your site fast and crawlable with PerplexityBot allowed in robots.txt.

Question 13

How do I appear in Google AI Overviews and Gemini?

Accepted Answer

Google AI Overviews and Gemini draw heavily from Google's ranking infrastructure plus structured data. To appear: (1) deploy FAQPage, Article, Product, Organization, and HowTo schema; (2) earn citations on review platforms, which appear in 34.5% of commercial AI Overviews queries (SEranking, 30K keywords); (3) maintain a Google Knowledge Panel through consistent entity signals on Wikipedia, Wikidata, and LinkedIn; (4) write passage-optimized answer blocks under question headings; (5) allow Google-Extended in robots.txt.

Question 14

How do I get cited in Claude (Anthropic)?

Accepted Answer

Claude weighs long-form authoritative sources, peer-reviewed research, established publishers, and well-structured technical documentation more heavily than other LLMs. To get cited in Claude: (1) publish in-depth long-form content with clear hierarchy and footnoted sources; (2) earn links from authoritative domains (academic, government, established publishers); (3) maintain canonical, well-attributed Wikipedia and Wikidata entries; (4) earn analyst and industry coverage (Forrester, IDC, trade press), since Claude weights named-source citations highly; (5) allow ClaudeBot in robots.txt.

Question 15

How do I show up in Microsoft Copilot?

Accepted Answer

Microsoft Copilot is built on Bing's index and favors commercial intent and structured business data. To appear: (1) build strong Bing rankings, since Bing is the substrate of Copilot; (2) keep an active LinkedIn Company Page with consistent firmographic data; (3) deploy schema markup (Organization, Product, Service, FAQPage); (4) earn citations on B2B review and analyst sites; (5) allow Bingbot. Copilot is especially strong in B2B and enterprise contexts where LinkedIn signals matter.

Question 16

How do I get into Grok, DeepSeek, and Google AI Overviews?

Accepted Answer

Grok pulls heavily from real-time X (Twitter) conversation, so an active X presence with category authority is the main lever. DeepSeek over-indexes on technical and developer sources (GitHub, Stack Overflow, Hacker News) and is a strong target for developer-tools companies. Google AI Overviews is the AI-generated answer surface from Google; it pulls from top-ranking organic results, structured data, and Knowledge Graph entities, so strong schema, authoritative content, and existing organic ranking are the main levers.

Question 17

What is an llms.txt file and do I need one?

Accepted Answer

llms.txt is a plain text file at yourcompany.com/llms.txt that gives AI crawlers a canonical, machine-readable description of your company: what you do, who you serve, what you sell, what it costs, and where to learn more. It is the most direct way a company can shape how AI systems describe it. Yes, you should deploy one. Every VISIBLD audit tier includes llms.txt guidance.

Question 18

What schema markup do I need for AI search?

Accepted Answer

The highest-impact schema types for GEO are FAQPage (direct-answer extraction), Article and BlogPosting (content retrieval), Product and Offer (commercial queries), Organization (entity grounding), HowTo (procedural answers), Service (B2B services), Review and AggregateRating (trust signals), and BreadcrumbList (site structure). The VISIBLD GEO Audit includes production-ready JSON-LD code, not just a list of what to add.

Question 19

Should I let GPTBot, ClaudeBot, and PerplexityBot crawl my site?

Accepted Answer

Yes. For nearly every commercial use case, allowing AI crawlers is essential. Blocking them in robots.txt removes you from the training and retrieval indexes that produce AI citations. The common exception is publishers protecting paid content. User agents to allow: GPTBot (OpenAI), ClaudeBot (Anthropic), PerplexityBot, Google-Extended (Gemini and AI Overviews), Bingbot (Copilot), CCBot (Common Crawl, used by many models), Meta-ExternalAgent. VISIBLD audits the full robots.txt configuration in every tier.

Question 20

Why does Wikipedia matter for LLM citation?

Accepted Answer

Yext's analysis of 17.2 million ChatGPT citations found Wikipedia accounts for 47.9% of them, by far the largest single source. Wikipedia is ChatGPT's primary source for entity validation and parametric memory. A company without a Wikipedia entry is treated with lower confidence than a company with one, even if it has better products or a longer history. Creating a notability-compliant Wikipedia entry is one of the highest-leverage GEO actions available.

Question 21

Why does Reddit matter for LLM citation?

Accepted Answer

Foundation and AirOps' analysis of 57 million LLM citations found Reddit accounts for 46.7% of Perplexity citations in B2B verticals. Perplexity uses real-time web retrieval with no parametric memory layer, and Reddit is its most-indexed community source. ChatGPT and Claude also draw from Reddit at meaningful rates. A company with no Reddit presence is at a structural disadvantage on Perplexity, and increasingly on the other LLMs, no matter how good its website is.

Question 22

Which review sites matter most for AI search?

Accepted Answer

Review platforms appear in 34.5% of commercial Google AI Overviews queries (SEranking, 30K keywords). Surface weights vary by segment. B2B SaaS: G2, Capterra, TrustRadius, Software Advice. DTC and B2C: Trustpilot, Amazon reviews, Google Reviews, Yelp. Services: Clutch, DesignRush, GoodFirms. AI engines cite review platforms because they aggregate third-party trust signals at scale, which is exactly what LLMs use to evaluate vendors.

Question 23

How many citation surfaces does VISIBLD audit?

Accepted Answer

VISIBLD audits 40 citation surfaces organized into 8 tiers: Tier 1 entity anchors (Wikipedia, Wikidata, Crunchbase, LinkedIn, your website); Tier 2 review and reputation (G2, Capterra, TrustRadius, Software Advice, AlternativeTo, Trustpilot, Clutch); Tier 3 technical and developer (GitHub, Stack Overflow, Hacker News, Hugging Face, Spiceworks); Tier 4 press and wire services; Tier 5 community (Reddit, Quora, Product Hunt, podcasts); Tier 6 ecosystem directories; Tier 7 firmographic databases; Tier 8 content distribution.

Question 24

Why isn't my company showing up in ChatGPT or Perplexity?

Accepted Answer

Most invisibility traces to one of five causes: (1) no Wikipedia entry or weak entity signals across knowledge graphs; (2) AI crawlers blocked in robots.txt (GPTBot, ClaudeBot, PerplexityBot, Google-Extended); (3) heavy promotional language, which correlates with a 26% drop in citation probability (Princeton GEO research); (4) thin or missing third-party citations on review platforms, Reddit, and press; (5) content structured for SEO keywords rather than passage-level retrieval. A VISIBLD audit shows which of the 40 citation surfaces are causing your specific gap.

Question 25

How do I fix wrong information about my company in AI responses?

Accepted Answer

You correct AI hallucinations by overriding the model's sources, not by contacting the model. Steps: (1) update or create the Wikipedia entry, since it is the dominant ChatGPT source; (2) correct Wikidata and Google Knowledge Panel entries; (3) deploy Organization, Product, and FAQ schema with the correct facts on your own pages; (4) publish authoritative content that directly addresses the error; (5) earn fresh third-party citations (press, reviews, podcasts) that reinforce the correct facts. VISIBLD's hallucination audit catalogs every wrong fact and prescribes the specific fix.

Question 26

How long does a VISIBLD audit take?

Accepted Answer

The free GEO Score Check returns results in 60 seconds. The GEO Audit is delivered within 24 hours of a completed intake form. You receive a decision-ready PDF you can hand straight to your team.

Question 27

What does VISIBLD cost?

Accepted Answer

The audit is always free: a score in about a minute plus a 30-minute walkthrough with an AEO expert. Package 1 (GEO Strategy & Implementation) is $3,500/month, or $2,500/month on a 6-month term. Package 2 (VISIBLD + Citabld) is $5,000/month, or $3,333/month on a 6-month term.

Question 28

How is VISIBLD different from GEO monitoring tools (Profound, AthenaHQ, Otterly, Peec, Scrunch)?

Accepted Answer

Monitoring tools track citation metrics over time in a dashboard. VISIBLD is a forensic audit platform. It diagnoses root causes and delivers a specific remediation program. A dashboard tells you your citation rate is 12%. VISIBLD tells you why it is 12%, which of the 40 citation surfaces are causing it, what each platform requires to fix it, and the exact sequence to execute over 90 days. Mature programs often use both.

Question 29

Does VISIBLD work for B2C, DTC, or services companies, or only B2B SaaS?

Accepted Answer

VISIBLD works for B2B technology companies, B2C consumer brands, DTC and eCommerce businesses, and service organizations. The 5-layer methodology is the same across segments. The surface weighting, prompt library, and competitor set adapt by segment. DTC brands lean on Trustpilot, Amazon, Reddit, and YouTube. B2B SaaS leans on G2, Capterra, and TrustRadius. Services companies lean on Clutch, LinkedIn, and Wikipedia.

Question 30

Do I need GEO if my SEO is already strong?

Accepted Answer

Yes. SEO and GEO use different signals and produce different outcomes. Only 12% of domains cited by ChatGPT appear in Google's top 10 for the same query (Ahrefs, 2025), so even category SEO leaders are routinely missing from AI answers. A strong SEO foundation helps (clean technical setup, crawlable pages, indexed content), but GEO needs more: entity grounding, third-party citations, schema, passage-level content structure, and AI crawler access.

Question 31

Will AI search replace Google search?

Accepted Answer

AI search is adding to Google, not replacing it overnight. Google itself now shows AI Overviews above traditional results, which makes Google an AI search interface too. Meanwhile ChatGPT, Perplexity, Claude, and Gemini keep growing: 94% of B2B buyers and 68% of consumers already use AI to research before they buy (6sense 2025; McKinsey 2026). The real question is whether you invest in GEO early or late.

Question 32

How quickly will I see results after implementing VISIBLD recommendations?

Accepted Answer

Day-one fixes (robots.txt, schema, llms.txt) can change LLM answers within 72 hours. Content rewrites and FAQ schema produce measurable citation lift within 30 to 45 days on Perplexity and Google AI Overviews. Wikipedia entries, review velocity programs, and press coverage take 60 to 120 days to compound into measurable AI Share of Voice shifts. Most clients see meaningful lift within the first 90 days of executing the roadmap.

Question 33

Can VISIBLD guarantee a specific citation lift?

Accepted Answer

No. GEO citation rates are probabilistic. VISIBLD provides projection ranges based on the specific actions recommended and correlation data from peer-reviewed GEO research. Actual results depend on execution quality, LLM training cycle timing, and competitive dynamics in your category. VISIBLD projections are sourced estimates, not guarantees.

Frequently Asked Questions

Everything buyers ask about VISIBLD GEO audits