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The first three steps are ordinary web work and a competent developer can do them. The last two are editorial and reputational, and that is where most companies stall, because they require producing something worth citing rather than adjusting a setting.

Read the source guide: How to Not Be Invisible on AI — 5 Steps →

Ask the engines the questions your buyers ask, in plain language, without naming your company. If competitors come back and you do not, you are invisible for that question. Do it across several phrasings, because a single prompt is not evidence.

Read the source guide: How to Not Be Invisible on AI — 5 Steps →

Access and structure changes are usually read within weeks of the next crawl. Corroboration — other sites naming you — is the slow part and is measured in months. Anyone promising citations in days is selling something else.

Read the source guide: How to Not Be Invisible on AI — 5 Steps →

No. They come apart often. A company can rank on page one of Google and never be named by an assistant, usually because its pages are readable by people but not resolvable by a machine. Crawlability overlaps; entity clarity and answer-shaped content do not.

Read the source guide: How to Not Be Invisible on AI — 5 Steps →

It means an answer engine such as ChatGPT, Claude, Gemini or Perplexity does not name your company when someone asks it a question your business exists to answer. You may still rank on Google and still be invisible here, because an assistant returns one short answer naming two or three companies instead of a page of ten links.

Read the source guide: How to Not Be Invisible on AI — 5 Steps →

No. GEO extends SEO for the AI era. Well-structured, credible pages rank better on Google and get cited more in AI answers. The two reinforce each other when done correctly.

Read the source guide: How to Rank in AI Search: The GEO Framework →

Run the exact queries your buyers use — "best [service] in [location]," "top [industry] companies for [use case]," "which [type] firm handles [problem]" — across ChatGPT, Perplexity, and Google AI Overviews. Track who gets named and how they are described.

Read the source guide: How to Rank in AI Search: The GEO Framework →

Traditional SEO optimizes for document relevance. You match keywords, earn backlinks, and compete for positions on a results page that a human can scroll. GEO — Generative Engine Optimization — works differently. AI engines like ChatGPT, Perplexity, Gemini, and Google AI Overviews do not serve pages in order. They synthesize an answer from the sources they can understand and trust. That means a company can rank first on Google and still be invisible in AI answers. It also means a company with fewer backlinks but better-structured content, clearer positioning, and more consistent proof signals can get cited repeatedly. GEO is about becoming the answer, not just appearing near the answer.

Read the source guide: How to Rank in AI Search: The GEO Framework →

AI engines generate comparisons daily. Companies that publish clear positioning — what they do, what they do not do, who they are best for — control how they appear in those comparisons.

Read the source guide: How to Rank in AI Search: The GEO Framework →

AI engines need to know what your company does, who it serves, where it operates, and why it is credible — all from public, crawlable sources.

Read the source guide: How to Rank in AI Search: The GEO Framework →

Mentions in third-party sources — press, directories, reviews, partner sites — act as corroboration. AI engines trust entities that appear consistently across the web.

Read the source guide: How to Rank in AI Search: The GEO Framework →

AI engines re-crawl and re-synthesize frequently. A company that makes the right changes to its site structure, content, and schema can see citation frequency improve within weeks — faster than waiting for a backlink campaign to compound. But consistency matters more than speed. The companies that sustain visibility inside AI answers are those that treat GEO as infrastructure, not a one-time task. New service pages get schema on launch. FAQ sections get updated when buyer questions change. External mentions are tracked and built deliberately. Entity data is audited quarterly to stay consistent across platforms.

Read the source guide: How to Rank in AI Search: The GEO Framework →

Named results, client types, industries served, process steps, and use cases. Vague claims are filtered out. Specific, verifiable proof gets cited.

Read the source guide: How to Rank in AI Search: The GEO Framework →

Entity clarity on the homepage and service pages. If AI engines cannot parse what you do and who you serve in the first paragraph, no amount of schema or content volume will fix downstream visibility.

Read the source guide: How to Rank in AI Search: The GEO Framework →

ChatGPT, Perplexity, Google AI Overviews, and Gemini cover the majority of AI-mediated searches today. The good news: optimizing for one of them tends to improve visibility across all of them because the underlying signal requirements are similar.

Read the source guide: How to Rank in AI Search: The GEO Framework →

Assign an internal owner who can coordinate product, marketing and technical contributors. Keep the page inventory and evidence records accessible to the people responsible for maintenance. Ask for explanations of changes so that useful knowledge stays with the team. Arrow is a platform company and offers scoped GEO implementation support. Review the current engagement information and platform description, then verify the features and deliverables relevant to your scope. Use the yacht-broker dossier for a specialized buyer journey or the consulting-firm dossier for recurring pre-sale questions. The France DPE audit dossier illustrates a local-service scope.

Read the source guide: How to Scope an AI Visibility Service →

Choose one commercially useful journey and a small question panel. Request a baseline, a defined intervention and a follow-up review. The aim is to learn whether the provider can produce accurate, useful work within your constraints. An illustrative pilot could clarify one product page, add an evidence-backed implementation example and correct related links. Its acceptance conditions concern those deliverables. Any increase in citations or recommendations is recorded separately, with the collection context. Evaluate total effort: internal reviews, content evidence, technical access, publishing and continuing maintenance. A low quoted subscription does not tell you how much work the engagement will require from your team. Before expanding, review the quality of the handoff and the usefulness of the decisions. A polished report without usable evidence or completed action may not solve the original need.

Read the source guide: How to Scope an AI Visibility Service →

Give providers the same brief and compare deliverables, evidence access, collection methods, internal effort and ongoing ownership. Verify current prices and limits directly instead of comparing headline fees alone.

Read the source guide: How to Scope an AI Visibility Service →

Ask which activities are included in the recurring work and which require another scope. Define how urgent factual corrections are handled. A useful agreement should also make handoff practical if ownership later changes.

Read the source guide: How to Scope an AI Visibility Service →

Expand when the provider has delivered accurate work, the team understands the evidence and the next scope serves a supported business need. One favorable screenshot is insufficient to validate a broader program.

Read the source guide: How to Scope an AI Visibility Service →

No. Indexing is an eligibility requirement for supporting links in Google AI Overviews and AI Mode, not a promise of selection.

Read the source guide: Is AI search replacing SEO? →

Treat AI visibility as an additional discovery channel, not a reason to stop SEO. Google says its existing SEO fundamentals still apply to AI Overviews and AI Mode. A page needs to be indexed and eligible for a search snippet to qualify as a supporting link there; eligibility does not guarantee selection.

Read the source guide: Is AI search replacing SEO? →

No. An engine can cite a page as a source without recommending the company that published it. Track the two separately.

Read the source guide: Is AI search replacing SEO? →

No. Technical accessibility, useful content and internal links remain relevant. Rebalance effort using your own buyer behavior and results, not a prediction that search has disappeared.

Read the source guide: Is AI search replacing SEO? →

No. Fit depends on buyer behavior, source readiness, economics and the team's ability to maintain information and measure results.

Read the source guide: Is GEO Worth It for B2B Companies? A Decision Framework →

Delay a large program when the offer is unstable, evidence is unavailable, pages cannot be updated or nobody owns measurement and review.

Read the source guide: Is GEO Worth It for B2B Companies? A Decision Framework →

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For teams in markets or verticals we don't cover yet. Every business will ask who handles their AI visibility. Partners who answer that question first own the relationship for years.

Read the source guide: Partners — White-Label Arrow GEO & Referrals →

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We use submitted data to reply to business inquiries, prepare audits, schedule calls, qualify project fit, improve site performance after analytics consent, and protect Arrow AI systems.

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You can request access, correction, deletion, or objection by contacting Arrow AI. If you are in the EU, you may also contact your local data protection authority.

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You can create a revised version for the next cycle or a separate experiment. Preserve the original question and answer; do not replace an unfavorable observation or silently change the baseline.

Read the source guide: Prompt Tracking for GEO: What to Monitor →

A question that already names the company tests a different task from a question asking which solution to choose. Both can be useful, but combining them makes a brand easier to “find” by construction. Similarly, informational definitions should not dilute a commercial recommendation denominator. Separate intended markets and languages from the outset. A French question aimed at a French buyer and an English question aimed at a US buyer are two contexts, even if translated from the same underlying need. Intended market is not proof of where the collecting device was located.

Read the source guide: Prompt Tracking for GEO: What to Monitor →

Assign a review cadence that matches how quickly your offer and buyer questions change. Add a newly discovered concern because it matters to buyers, not because testing showed an easy brand win. Keep a short retirement reason when an old question becomes irrelevant. For collection, record known personalization conditions and session context. OpenAI’s memory documentation explains that personal context can affect responses and searches, so “new chat” alone is not a full environment description. Preserve unknown settings instead of inferring them. Once the panel is frozen, follow the citation tracking method for evidence and classification. Improve the panel at the next version boundary; use the current cycle to learn what the selected questions actually reveal.

Read the source guide: Prompt Tracking for GEO: What to Monitor →

Collect questions from consented sales notes, support requests, customer interviews, site searches and relevant public discussions. Preserve the original wording privately where necessary, then paraphrase away names and confidential details. For public discussions, retain a source link and capture date. A Reddit question can reveal vocabulary or a concern, but its votes and comments do not establish search volume or buying frequency. Prioritize questions using fit with the product, specificity of the decision and the quality of the underlying evidence. Label invented or workshop-generated questions as hypotheses.

Read the source guide: Prompt Tracking for GEO: What to Monitor →

There is no universal minimum that makes a panel representative. Start with distinct, relevant decisions you can repeatedly collect and review; disclose the scope, repetitions and uncovered needs.

Read the source guide: Prompt Tracking for GEO: What to Monitor →

Treatment: Add it to a new version and establish its baseline. Reason: No earlier answer exists for the new question.

Read the source guide: Prompt Tracking for GEO: What to Monitor →

Illustrative question: What does Arrow AI provide and which domain is its official website? What it evaluates: Description and identity accuracy, kept outside discovery rates.

Read the source guide: Prompt Tracking for GEO: What to Monitor →

Illustrative question: Which GEO tools fit a small B2B team that needs exportable answer evidence? What it evaluates: Selection against a stated buying constraint.

Read the source guide: Prompt Tracking for GEO: What to Monitor →

Illustrative question: How can a marketing team tell a citation from a recommendation? What it evaluates: Ability to find and explain a concept or method.

Read the source guide: Prompt Tracking for GEO: What to Monitor →

Illustrative question: Which solution supports our required integration and data-handling limits? What it evaluates: Suitability for a real requirement; populate only with verified buyer constraints.

Read the source guide: Prompt Tracking for GEO: What to Monitor →

Yes, when you want to check identity or product descriptions, but keep them in a separate control group. A question naming the brand does not measure non-branded discovery.

Read the source guide: Prompt Tracking for GEO: What to Monitor →

Create a stable ID for each question and save its exact wording, intent, branded status, language, market and eligible subject type. Archive the panel file used for each cycle. A new question, changed wording or reassigned intent requires a new version; keep the old one available for interpreting its observations. Do not overwrite the previous panel and compare percentages as if the sample stayed unchanged. Compare the shared, unchanged subset separately, with the reduced coverage disclosed. New questions begin their own baseline; retired questions remain part of the history that was actually collected.

Read the source guide: Prompt Tracking for GEO: What to Monitor →

Use neutral wording that a buyer could plausibly use before knowing the answer. Avoid inserting your own brand into a non-branded question, adding unsupported praise or listing unusually specific features solely because your product has them. Real constraints are legitimate; engineered favoritism is not representative demand. Give near-duplicates a shared intent label. Ten paraphrases of one use case do not provide the same breadth as ten distinct decisions. If you deliberately study wording sensitivity, keep that experiment separate from the stable baseline and report its purpose.

Read the source guide: Prompt Tracking for GEO: What to Monitor →

The Arrow v2 panel proposes 60 non-branded GEO-solution questions: 40 commercial and 20 informational. It adds ten Arrow identity controls. English and French each have 30 non-branded questions and five identity controls. These are proposed questions, not verified demand or measured results. Its B2B, yacht and DPE cohorts all evaluate GEO solutions. The yacht questions concern yachting businesses choosing GEO support; they do not ask consumers to choose a yacht broker. The older supplier panel studies different subjects and remains separate. Read the kit instructions before reusing either panel. Illustrative planning calculation: 12 selected questions, two surfaces and three independent sessions create 72 planned attempts. The actual valid sample may be smaller. Selecting a relevant subset is acceptable if you freeze it, label its scope and do not call it the complete 70-question panel.

Read the source guide: Prompt Tracking for GEO: What to Monitor →

Traditional SEO helps pages become crawlable, useful, and relevant inside search results. GEO, or generative engine optimization, adds another layer: it prepares content so AI systems can summarize, compare, recommend, and cite the company with confidence. The two disciplines should not compete. A strong SEO page gives the site structure, intent coverage, metadata, crawlability, and authority. A strong GEO page gives AI systems clean entities, direct answers, proof, source clarity, use cases, and next-step context.

Read the source guide: SEO + GEO Visibility Stack: How Companies Get Found in AI Answers →

A good SEO + GEO strategy does not require exposing internal prompts, client data, proprietary logic, private dashboards, or confidential performance numbers. In fact, public pages usually work better when they stay focused on the buyer's question. Safe content can include the problem being solved, the category, the workflow, public use cases, implementation principles, governance considerations, decision criteria, and the next step a user should take. That is enough context for people and AI systems to understand relevance without crossing a confidentiality line.

Read the source guide: SEO + GEO Visibility Stack: How Companies Get Found in AI Answers →

If you find a vulnerability, email the contact form with steps to reproduce, impact, affected URL, and a safe proof of concept.

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GEO helps companies get found in AI. Custom AI systems help companies handle the work that follows. The winning companies will connect both: demand generation that AI engines can see, and internal systems that turn demand into delivery. Read GEO is the new search layer and why custom AI systems beat generic tools to see the two sides of the Arrow AI offer. GEO vs SEO, side by side · the GEO glossary · the ROI calculator · your free GEO score

Read the source guide: Systems Win When Tools Connect →

A connected AI system gives the team one reliable path: ask, retrieve, decide, act, log, and improve. The system can still use the tools you already have, but it creates a more coherent layer across them.

Read the source guide: Systems Win: Less Tool Sprawl, More Connected Execution →