Make sense of AI search.

What is generative engine optimization (GEO)?

Generative engine optimization is the work of making a business’s public information accurate, useful and accessible for AI-assisted discovery, then measuring how the business appears in generated answers. A practical program combines website improvements, evidence and observation. The company controls its source material; each independent search or AI product controls the response it produces.

Do I need separate work if I already rank in search?

Start with the existing search foundation. Google says its established SEO practices remain relevant to AI search experiences. Examine whether your page answers the full buyer decision and whether the generated answer uses it accurately. A search position, an AI citation and a recommendation describe different observations.

What does GEO add to a content process?

It adds a disciplined way to connect buyer questions, public source quality and observed AI answers. Research a decision, improve the page that owns the answer, substantiate its claims, record the resulting responses and revisit the gaps. SEO, editorial review and product clarity remain part of the same work.

Can a GEO provider guarantee a recommendation?

No. A provider can commit to defined research, source improvements, implementation and reporting. The assistant controls the generated answer. Keep advertising placements and organic recommendations separate, and require the measurement protocol behind any claimed placement or uplift.

Can a new site become a useful source?

A new site can publish accurate, original information, but useful content alone does not guarantee discovery or selection. Explain the actual offer, make the sources accessible and establish relevant public evidence. Start with decisions you can answer well instead of producing many interchangeable pages.

What should a first GEO pilot deliver?

A useful GEO pilot delivers a defined baseline, a small set of verified source improvements and a repeatable review of the resulting answers. Agree on the audience, question panel, pages, responsibilities and evidence before work begins. Accept completed publishing work separately from third-party visibility outcomes.

Should an answer hub use a subdomain or a subdirectory?

Choose the address that makes the hub easiest to publish, maintain and connect to the rest of the business website. A subdirectory such as example.com/answers/ can share the existing site structure. A subdomain such as answers.example.com can support a separately managed publishing surface. The address format alone is not a demonstrated GEO advantage.

How do I check whether a crawler can access my page?

Check the response status, robots rules, index controls, canonical URL, meaningful HTML content and any firewall or login challenge. Allowing a crawler is one access condition, not proof that the page was indexed or cited. OpenAI documents OAI-SearchBot for search separately from GPTBot for training.

What does “Success” mean for a sitemap in Search Console?

“Success” means Google fetched and read the submitted sitemap without errors. “Discovered pages” counts the page URLs parsed from that sitemap. Neither status confirms that all listed pages were crawled, indexed or shown in search results. Use the indexing reports and URL Inspection to investigate those later stages.

Does schema markup earn AI citations?

Structured data can describe supported facts on a page, but it must match the visible content. Google states that no special schema is required for its AI search features. Choose relevant markup for the page and validate it; do not treat the presence of FAQ schema as a recommendation score.

Should I add an llms.txt file?

Treat it as an optional file for tools that explicitly support it. Google says it does not use llms.txt for Search. A maintained sitemap, crawlable links, appropriate indexing controls and useful visible content should take priority. The existence of this file is not evidence of AI visibility.

How do you avoid duplicate content in an answer hub?

Give each distinct decision a clear primary page and combine questions that depend on the same answer. Use summaries to help navigation, with links to the complete source. Review existing URLs before generating new ones, and distinguish an editorial consolidation from the technical signals used to identify a preferred URL.

How do you build an answer hub that is useful in AI search?

Build an answer hub around decisions your audience needs to make. Group overlapping questions, publish a complete answer for each distinct topic, identify the evidence behind important claims and connect the answer to the relevant product or service page. The hub should be useful as a destination in its own right, with clear navigation and maintained sources.

Which questions should an answer hub cover first?

Start with questions that block a real buying or implementation decision and that your team can answer with reliable information. Group wording variations around the same underlying need. Prioritize unresolved questions about suitability, scope, cost conditions, evidence and next steps before expanding into every adjacent topic.

What makes an answer page useful as a source?

A useful source states the answer clearly, explains when it applies and connects important claims to checkable evidence. Define the subject, preserve material limitations and give enough context for a reader to verify the conclusion. No particular paragraph length, FAQ format or markup makes citation automatic.

What outside evidence helps a buyer verify us?

Use sources relevant to the claim: an official registry for a regulated status, a partner page for a real partnership, documentation for a product capability or a dated customer study for a measured result. Keep names and scope consistent. A count of mentions or links cannot establish their accuracy or commercial relevance.

How do you write a product comparison page buyers can verify?

Compare products against a clearly stated buying need using current, attributable facts. Explain each criterion, show important differences and limitations, and distinguish verified capabilities from information you have not confirmed. A comparison is more useful when a buyer can trace the evidence and understand where either option may fit.

Why does ChatGPT not mention my company?

One missing mention does not identify the cause. Check whether search was used, what the question requested, which sources were cited and whether the business fits the stated need. Then inspect source access, entity ambiguity, missing offer details and contradictory public information. Repeat comparable observations before deciding which page needs work.

What if an assistant describes the business incorrectly?

Preserve the question, full answer and sources. Correct the factual problem on pages you control and request corrections on relevant third-party sources when appropriate. Retest after the source is accessible and updated. Retrieval and answer generation vary, so a corrected page does not guarantee the next response is correct.

What should I improve first?

Resolve a blocking access or index issue before expanding content. Then choose a commercially important decision where your source is incomplete or inaccurate and where you can supply real evidence. Record the expected observable change, its owner and its test. Prioritization should follow the finding, not a generic points checklist.

How do you keep an answer hub accurate after launch?

Assign an owner to each answer and track the facts on which it depends. Review a page when its product, evidence, policy or audience changes, and use scheduled checks to catch missed changes. Maintain existing links, merge overlapping answers when appropriate and update the review date only after a substantive check.

What is the difference between an AI mention, citation and recommendation?

A mention names the business. A citation links to a source. A recommendation proposes the business, product or resource for the user’s need. These outcomes can overlap, but they should be classified separately. Also record whether the answer describes the right entity and whether the cited source supports the claim.

How do you measure whether Gemini recommends your business?

Test relevant questions in a clearly identified Gemini experience, save the complete responses and classify brand mentions, linked sources and explicit recommendations separately. Record the date, language, market and visible settings. Treat Gemini Apps observations and Google Search-grounded Gemini API tests as different datasets.

How do you track citations from ChatGPT Search?

Capture the full ChatGPT Search answer, the question and its linked sources under recorded conditions. Count a citation to your domain separately from a mention of your name or a recommendation to buy from you. Keep non-search conversations, controlled API tests and consumer Search observations in distinct reporting groups.

How do you assess visibility in Google AI Overviews?

Record whether an AI Overview appears for the query, whether your page is linked and whether the answer accurately represents it. Keep these observations separate from general search ranking and from Gemini Apps. Use the Search Console reports available for your property alongside saved query observations, with the scope of each report stated explicitly.

Which AI surfaces should I prioritize?

Choose the surfaces your buyers actually use and document their separate behavior. Consumer ChatGPT, a provider API, Perplexity search and Google's AI experiences are not interchangeable tests. Record surface, model when visible, search mode, language, market and time so a change in setup does not masquerade as progress.

How do I measure visibility when there is no click?

Use a fixed set of questions and save each complete response with its date and setup. Report brand mentions, linked source citations and explicit commercial recommendations separately. Include valid non-mentions; exclude failed requests from the observed-answer denominator while displaying missing coverage. Keep branded identity questions outside non-branded recommendation rates.

How long does it take to see a citation?

There is no universal timeline. Deployment, crawling, indexing, source selection and response generation are separate events. Set a baseline window and a review cadence, record what changed, and report the observations available at each review. Do not convert an implementation schedule into a promised date for recommendations.

Does AI traffic always convert better?

No universal conversion uplift should be assumed. Measure qualified inquiries and confirmed sales in your own analytics or CRM, keep the attribution window explicit, and allow unknown origin. Referral traffic, self-reported discovery and a saved AI recommendation provide different evidence and should not be added into one inflated total.

What does Arrow GEO measure today?

Arrow GEO separates its technical website checklist from observations returned by configured provider APIs. An unavailable provider is unmeasured. A provider API observation is not a consumer search position. Use the product page to check access and limits, and the free audit to define the source improvements and observation scope you need.

How much does Arrow GEO cost?

Arrow publishes separate prices for managed GEO implementation and platform access. Managed Start is $990 setup plus $490 per month; Growth is $790 setup plus $790 per month; Scale is $1,490 setup plus $1,290 per month. The platform page lists Team at $199 per month, with access and usage scope confirmed before activation. Prices are in USD and were checked on September 30, 2026.

What is included in Arrow GEO Start?

Arrow GEO Start includes 20 agreed buyer questions, two selected AI tools, four scheduled observation rounds per monthly cycle and two competitors for comparison. Setup includes two agreed improvements; ongoing delivery includes one agreed improvement per month, a private dashboard and a written summary. Available visits and inquiries are reported where measurable.

How do Arrow GEO Start, Growth and Scale differ?

The managed plans increase the number of questions, competitors and agreed improvements. Start covers 20 questions and two competitors; Growth covers 40 and three; Scale covers 60 and five. All three use two agreed AI tools and four scheduled rounds per monthly cycle. Scope remains one business, one language and one market per plan.

Is the Arrow GEO audit free, and what happens afterward?

Arrow offers a free initial audit and a scoped proposal before paid work is approved. The intake collects business context and the priority problem so Arrow can define useful next steps. A free audit is a starting assessment; it does not automatically activate unrestricted platform access or begin a managed subscription.

Which businesses are a good fit for Arrow GEO?

Arrow describes its managed GEO offering for B2B and service businesses that want to improve public source pages and review how AI tools describe their offer. A useful fit includes accurate business information, agreed publishing access and someone who can approve changes. Each managed plan covers one business, one language and one market.

What is the difference between Arrow GEO platform access and managed GEO?

Platform access concerns the software workspace, technical checks and observations from configured providers. Managed GEO adds an agreed delivery process: selecting questions, recording results, making approved source improvements and reviewing the next actions. Choose based on who will perform and maintain the work, then confirm the scope in writing.

How long does Arrow GEO setup take?

Arrow publishes a planning estimate of three to five weeks for managed GEO setup after required access and information are received. The proposal confirms the schedule and first improvements. Monthly billing starts when the completed setup is accepted. This is an implementation estimate, not a promised timeline for indexing, citations or leads.

Can Arrow GEO work with an existing website or CMS?

An Arrow GEO engagement does not necessarily require a new website. The published managed plans allow work through the existing website, the current web provider or an Arrow-managed space. Confirm the publishing method, permissions, hosting costs and responsibilities before payment. Compatibility with a specific CMS should be assessed for the proposed changes.

What information and access does Arrow need for GEO onboarding?

Prepare the public website, priority offer, accurate business facts, target market and language, and competitors worth comparing. Arrow then agrees the buyer questions, two AI tools, first changes and required access. Provide only the access needed for those approved tasks, with a named owner for content approval and publication.

Does Arrow GEO integrate with Google Analytics and my CRM?

Arrow’s managed plans provide for available website analytics to be connected or imported and for visits and inquiries to be shown where measurable. They do not promise an automatic connection to every CRM. Confirm the specific analytics property, CRM, fields, refresh method and any implementation cost before approving the scope.

What should I see in an Arrow GEO monthly report?

Expect dated observations for the agreed questions and tools, competitor comparisons, source URLs where available, completed improvements and the next proposed actions. Arrow’s published managed plans include a private dashboard and monthly summary. Visits and inquiries are included where measurable, and unavailable checks should be identified separately.

Does one Arrow GEO plan cover multiple languages or countries?

The published managed GEO plans cover one business, one language and one market. Extra languages and additional scope need a separate agreement. Define the audience precisely before buying, because language, service availability and market conditions can change both the questions people ask and the sources that answer them.

How does Arrow GEO compare competitors?

Arrow’s managed plans compare a defined competitor set against the same agreed buyer questions. Start includes two competitors, Growth three and Scale five. The comparison should preserve the recorded answers, dates and source links where available. It describes the sampled responses rather than a universal ranking of the market.

What data should I share for an Arrow GEO review?

Begin with public business information, public URLs and non-confidential buyer questions. Arrow’s trust center explains that provider-backed tests may send domain or brand context and prompts to configured AI APIs. Agree any additional data, access, retention and review responsibilities before using private material.

What evidence can buyers review before choosing Arrow GEO?

Buyers can review Arrow’s published implementation material, public source pages and measurement method. The GEO page identifies the France DPE case as evidence of implementation and explicitly separates that from unproven increases in AI recommendations or attributed revenue. Ask for evidence matched to the particular claim you want to evaluate.

How should a team choose AI visibility software?

Choose AI visibility software against the questions, markets and decisions you need to monitor. Evaluate the evidence behind each observation, the distinction between API and consumer experiences, access to full responses, usable reporting and the work required to act on findings. A larger engine count alone does not establish a better fit.

How should you compare Arrow AI, AthenaHQ and Profound?

Compare Arrow AI, AthenaHQ and Profound using the same buyer questions, required markets, evidence standards and implementation responsibilities. AthenaHQ and Profound present AI-search marketing products on their official sites; Arrow publishes both platform access and managed GEO scope. This is an evaluation framework from Arrow, not an independent benchmark or a claim that one product wins every use case.

How is AI visibility tracking different from content optimization?

Visibility tracking records what selected AI systems say under defined conditions. Content optimization changes the public information that helps readers evaluate a topic or business. They work together when a recorded gap leads to a substantiated page improvement, but tracking a problem does not mean the problem has been fixed.

How do you build a useful buyer-question tracking panel?

Build a tracking panel from distinct decisions your buyers face: finding an option, checking fit, comparing alternatives and understanding purchase conditions. Record the audience, language, market and intent for each question. Keep branded identity checks separate from open recommendation questions, and freeze a baseline panel before evaluating changes.

How do you calculate AI share of voice without misleading comparisons?

Define the unit and denominator before calculating AI share of voice. One approach divides a brand’s qualifying mentions by all qualifying mentions across a fixed competitor set. A different metric measures the percentage of valid answers mentioning the brand. These calculations answer different questions and should have different labels.

How should you review brand sentiment in AI answers?

Review the passage about the correct business and classify its meaning with a documented rubric. Separate positive, neutral, negative and mixed statements, and distinguish factual errors from evaluative language. Sentiment in a sampled AI answer describes that answer; it is not a direct measurement of customer opinion or brand reputation across the market.

How do you build a GEO business case and measure its return?

Build the business case from the cost of the proposed work, the audience decisions it addresses and a measurable conversion path. Track delivery, AI observations, visits, qualified inquiries and revenue as separate stages. Use clearly labelled scenarios before results exist, and avoid treating every AI mention or website click as an attributable customer.

How can you track AI referral traffic to an answer hub?

Use your website analytics to review identifiable referring sources and landing pages, then connect meaningful actions such as form submissions or bookings where the setup allows. Keep this distinct from Search Console’s Google search performance and from saved AI citation observations. Some visits have missing or ambiguous source information and should remain unattributed.

How do you connect AI discovery to leads in a CRM?

Preserve available acquisition evidence when a genuine inquiry enters the CRM, and track qualification and revenue separately afterward. Useful fields can include the landing page, recorded referral source and the customer’s optional answer to how they found you. Agree the integration and attribution rules rather than assuming that every CRM can automatically identify AI-driven leads.

How should B2B SaaS teams use an answer hub?

A B2B SaaS answer hub should help buyers verify suitability: supported workflows, prerequisites, implementation effort, pricing conditions and limitations. Link answers to maintained product documentation and an appropriate next step. The hub is most useful when it resolves real evaluation questions that broad marketing pages leave unanswered.

What should ecommerce brands explain in AI-search answer pages?

Ecommerce answers should help shoppers assess product suitability, compatibility, specifications, delivery conditions and after-sales support using current, verifiable information. Link to the relevant product or policy page. Avoid creating repeated question pages for every keyword variation or presenting outdated stock and promotional information as permanent facts.

How should local service businesses use answer pages?

Local service answers should explain genuine service coverage, customer eligibility, preparation, pricing conditions and the booking process. Use consistent business identity and verifiable local facts. Create separate location content only when it helps a real customer understand meaningful differences in the service available there.

How do you localize an answer hub for another language?

Localize the underlying buying decision as well as the wording. Verify the offer, terminology, pricing conditions, service availability and contact path for the target audience. Use a reviewer who understands the market, and define a maintenance process so the translated answers do not drift away from current business facts.

How can a team switch AI visibility tools without losing its baseline?

Export the question panel, observation records, definitions and collection conditions before changing tools. Keep the old and new datasets identifiable, and use an overlap period where practical to understand methodological differences. A new dashboard score should not be joined directly to the old score unless their meaning and calculation are comparable.