--- title: "How to Measure AI Search Visibility: Step-by-Step Guide for 2026" description: "Measure AI search visibility in eight steps: track brand mentions, citations, competitors, referrals, and the impact of content improvements with igeo.ai." url: "https://www.igeo.ai/blog/how-to-measure-ai-search-visibility-2026/" language: "en" --- [Blog](https://www.igeo.ai/blog/)Sep 21, 2026**/**[AI search](https://www.igeo.ai/blog/category/ai-search/) # How to Measure AI Search Visibility: Step-by-Step Guide for 2026 ![](https://www.igeo.ai/_next/image/?url=%2Fblog%2Fauthors%2Feyal-ben-chaim.png&w=64&q=75)[**Eyal Ben Chaim**](https://www.linkedin.com/in/eyal-ben-chaim-55426284/)AI performance developer @ igeo.ai14 min read ![Eyal Ben Chaim introduces How to Measure AI Search Visibility, a step-by-step guide for 2026](https://www.igeo.ai/blog/images/ai-search-visibility-guide/cover.webp) **What's inside**Take this article with you[Open in ChatGPT](https://chatgpt.com/?q=Summarize%20this%20article%20and%20give%20me%20the%20key%20takeaways%3A%20https%3A%2F%2Fwww.igeo.ai%2Fblog%2Fhow-to-measure-ai-search-visibility-2026%2F)[Open in Claude](https://claude.ai/new?q=Summarize%20this%20article%20and%20give%20me%20the%20key%20takeaways%3A%20https%3A%2F%2Fwww.igeo.ai%2Fblog%2Fhow-to-measure-ai-search-visibility-2026%2F) **To measure AI search visibility, run a consistent set of buyer questions across your target AI engines, record brand mentions and source links, and compare repeated results over time. Then measure identifiable website visits and business outcomes separately.** A single answer can tell you that your brand appeared. A measurement process tells you where it appears reliably, how it is described, which sources support the answer, and what to improve next. This guide takes you through that process in eight steps, using the [igeo.ai platform](https://www.igeo.ai/overview/) to connect monitoring, analytics, content work, and distribution. The embedded product components use **illustrative sample data** to demonstrate the workflow; their numbers are not results from this guide or a forecast for your brand. You will need a defined brand and domain, access to your website analytics, and someone who can review and update content. Start with the [downloadable AI visibility measurement worksheet](https://www.igeo.ai/blog/downloads/ai-visibility-measurement-template.csv), or use the same fields in your monitoring system. ## Step 1: Define the decisions your measurement should support Start with a business question: “Do buyers encounter us when comparing reporting platforms for small teams?” is more actionable than “What is our AI score?” Choose one product category, one priority market, and a small set of decisions for your first cycle. You might need to identify missing product explanations, correct inaccurate descriptions, or understand why competitors appear on purchase-oriented questions. Set up three reporting layers: | Layer | Question it answers | Evidence to collect | | --- | --- | --- | | Answer visibility | Are we present and represented accurately? | Saved answers, brand mentions, citations, and context | | Website activity | Do identifiable AI referrals reach useful pages? | Sessions, landing pages, and engagement | | Business outcomes | Do those visits lead to valuable actions? | Qualified enquiries, trials, purchases, or another agreed event | Keep these layers connected without treating one as proof of another. A citation is not a visit. A crawler request is not a citation. A visit is not automatically a qualified lead. Write down your scope: brand aliases, owned domains, market, language, engines, answer surfaces, date range, and competitor set. Assign an owner to the weekly review and agree which outcomes matter before collecting data. The [igeo.ai Overview](https://www.igeo.ai/overview/) brings visibility changes, agent activity, and recommended actions into a briefing. Use that view to decide what needs investigation, then open the underlying evidence before acting. Its **Understand, Prefer, Trust, and Convert** stages organize that review. The demo's stage scores are illustrative product indicators, separate from the presence, citation, and share-of-voice formulas defined below. Score definitions can differ across tools; compare like-for-like measures. Inside igeo.aiIllustrative data ### Define what a better answer looks like ### Decision journey from knowing you to choosing you Prompts #### Understand **62**Building0 Does AI understand what Pipedrive does? Details Accurate brand descriptions 62% Tracked discovery prompts 24 Create discovery prompts #### Prefer **44**Weak0 Does AI prefer Pipedrive over rivals? Details Competitive answers won 44% Comparison prompts tracked 18 Analyze competitor gaps #### Trust **51**Building0 Does AI trust Pipedrive as a source? Details Answers with trusted citations 51% Citing source domains 12 Find my citation gaps #### Convert **36**Weak0 Does AI help buyers take the next step? Details Answers with a next step 36% High-intent prompts tracked 14 Build a campaign Open a stage’s details, then choose its suggested action to see example follow-up prompts. The website’s decision journey connects a visibility gap to the next question to investigate. These example scores describe AI answers, not real customer conversions. [Explore the overview ↗](https://www.igeo.ai/overview/) **Your output:** a one-paragraph measurement brief with a named owner and a clear business question. ## Step 2: Build a prompt set around real buying questions Gather questions from sales conversations, support requests, on-site search, and customer research. Search Console queries can also suggest topics, but treat them as a starting point for questions, not a census of what people ask AI assistants. For a first pilot, 20–30 well-chosen prompts can be manageable. That is a workload recommendation, not a minimum sample size that guarantees statistical significance. Cover different stages of a decision: | Intent | Example for a hypothetical reporting platform | | --- | --- | | Understand a problem | How can a small agency combine client marketing reports? | | Evaluate an approach | When should an agency replace spreadsheets with reporting software? | | Compare a category | Which reporting tools support multiple client workspaces? | | Check requirements | What should I check before choosing a reporting tool for EU clients? | | Evaluate your brand | Does Acme Reporting support scheduled client reports? | Separate **unbranded discovery prompts** from **branded evaluation prompts**. Naming your product in the question naturally changes the task; mixing those results into one discovery score can hide weak category visibility. Give each prompt a stable ID. Add topic, intent, market, language, priority, and the page you would want a buyer to find. Keep follow-up conversations in a separate group because earlier messages can influence later answers. Use [igeo.ai Monitoring](https://www.igeo.ai/monitoring/) to organize the questions and inspect the associated answers. Its prompt, mention, sentiment, competitor, source, and page views provide different ways to investigate the same buyer journey. Inside igeo.aiIllustrative data ### Start with the questions buyers ask TopicPrompt search New Balance · sample prompt set**10 of 10 prompts** Is New Balance committed to sustainability? Sustainability Visibility 100% Avg. position 1.0 Sentiment 77/100 New Balance lifestyle sneakers sale this week? Lifestyle Sneakers Visibility 86% Avg. position 1.7 Sentiment 83/100 Best supportive running shoes for long-distance runners? Running Shoes Visibility 71% Avg. position 5.3 Sentiment 97/100 New balance best shoes Running Shoes Visibility 71% Avg. position 1.2 Sentiment 95/100 New Balance running shoes near me Running Shoes Visibility 70% Avg. position 1.2 Sentiment 95/100 Showing the first five matches. Use a topic or search to narrow the set. Visibility, position and sentiment answer different questions. A high sentiment score can coexist with low visibility. Filter the same sample prompt set used in the Monitoring preview. Keep the prompt set and run conditions fixed when comparing periods. [Explore prompt monitoring ↗](https://www.igeo.ai/monitoring/) Freeze a core prompt set for the first comparison period. Add newly discovered questions to a separate exploration set, then version your baseline when you intentionally change it. Otherwise, an improved score may simply reflect easier questions. **Your output:** a versioned prompt library with discovery and evaluation reported separately. ## Step 3: Collect a repeatable baseline across engines Choose engines and surfaces your audience uses and your workflow can measure consistently. Record the actual environment: ChatGPT with search enabled, a particular assistant interface, Google AI Mode, and Google AI Overviews are different observations. An API response should be labeled as an API observation. Do not assume it reproduces what a signed-in person sees in a consumer product. Run your fixed questions across several dates. For example, a pilot might collect 20 prompts across three surfaces on three separate dates: 180 scheduled observations. That arithmetic describes your collection plan, not 180 independent users or guaranteed statistical confidence. For every observation, save: - The prompt ID and exact question, timestamp, engine, surface, language, and market. - Whether collection succeeded and whether an AI answer appeared. - The answer text or retrievable evidence, plus every visible source URL. - Brand presence, tracked competitors present, and relevant context. - Session conditions, such as fresh conversation or a documented follow-up. Hold conditions steady where possible. Record model versions and location settings when available; label unknown values instead of guessing. Do not retry only disappointing answers until the brand appears. Distinguish a failed collection from an answer without your brand. For Google AI Overviews, a successfully observed result with no overview is a separate outcome. Report the **overview appearance rate** across successfully observed searches, then report brand visibility within the generated overviews. Google's documentation confirms that AI Overviews do not appear for every query. [Google Search Central: AI features and your website](https://developers.google.com/search/docs/appearance/ai-features). Compare results within the same engine, topic, and market before pooling them. Keep the collection mix stable, or apply declared fixed weights so additional runs on one engine do not silently change the headline score. **Your output:** a baseline with saved evidence, repeat observations, and a visible count of missing results. ## Step 4: Calculate presence, citations, and competitive share Use a few metrics with explicit definitions. Vendor scores can be useful, but their formulas may differ. The following are a transparent reporting convention you can reproduce in the worksheet. Let **N** be the number of valid, collected AI answers in the segment and period. Exclude collection failures; report them separately. For a surface that sometimes produces no AI answer, also show the occurrence rate described in Step 3. | Metric | Calculation | Counting rule | | --- | --- | --- | | Brand presence rate | Answers naming your brand ÷ N × 100 | Count your brand once per answer, even if named repeatedly | | Owned-domain citation rate | Answers linking to at least one owned-domain page ÷ N × 100 | Count once per answer; answers with no links remain in N | | Tracked-set share of voice | Your brand-presence count ÷ summed presence counts for every brand in the fixed tracked set × 100 | Count each tracked brand once per answer; include your brand in the set | If 30 of 120 valid answers name your brand, and 18 cite your website, your presence rate is **25%** and owned-domain citation rate is **15%**. If the summed presence count across your brand and tracked competitors is 75, your tracked-set share of voice is **40%**. These are hypothetical numbers demonstrating three different denominators. Multiple brands can appear together, so their individual presence rates can sum to more than 100%. Share of voice describes only the declared competitor set; it is not market share. If no tracked brand appears, that share is undefined, not zero. Inside igeo.aiIllustrative data ### Compare your brand with the same rivals Brand mentionsBrand citations New Balance · share of mentions**24.1%** 2,670 ÷ 11,060 Across the eight sample brands 1. New balanceYour brand**24.1%** 2,670 mentions 2. Nike**18.5%** 2,050 mentions 3. Adidas**14.6%** 1,610 mentions 4. Asics**11.4%** 1,260 mentions Top four of eight brands shown. This is share within this sample, not a percentage of all AI searches. Shares below use the eight brands in the website’s sample competitor set. Changing the metric changes the denominator and the ranking. [Explore competitor monitoring ↗](https://www.igeo.ai/monitoring/) Use the competitor view to find specific gaps: a topic where another brand appears consistently, an engine where everyone loses visibility, or questions where no tracked product appears at all. Add qualitative checks. Is the mention a recommendation, a neutral example, or a warning? Are product facts accurate? Treat automated sentiment as a review aid and inspect important cases manually. For ordered recommendation lists, record placement separately; an absent brand has no list position. **Your output:** a scorecard that shows counts, rates, scope, and answer quality together. ## Step 5: Trace citations to pages you can improve A brand mention and a citation can come apart. An answer might recommend your product using a third-party review, or link to your tutorial without mentioning your company. Save both facts. Group cited URLs into owned pages, competitor pages, independent editorial coverage, directories, community discussions, and other relevant source types. Normalize tracking parameters for analysis while preserving the original links as evidence. Avoid merging distinct pages merely because they share a domain. For each important prompt, inspect the answer and the actual cited page. Check whether the source supports the nearby claim. A displayed link is evidence of a citation; it is not proof that the engine relied exclusively on that page or that the page endorses your brand. The Sources and Website Pages views in [igeo.ai Monitoring](https://www.igeo.ai/monitoring/) help move from a category-level change to the domains and URLs associated with it. Inside igeo.aiIllustrative data ### Find the evidence behind the answers Cited sourcesYour cited pages Source type **google.com**Corporate Used **71.9%**Avg. citations **7.6** **newbalance.com**Corporate Used **61.5%**Avg. citations **2.9** **vertexaisearch.cloud.google.com**Corporate Used **59.7%**Avg. citations **3.2** **runrepeat.com**Editorial Used **37.1%**Avg. citations **1.4** **reddit.com**UGC Used **34.2%**Avg. citations **1.5** **youtube.com**UGC Used **32%**Avg. citations **1.8** **nytimes.com**Editorial Used **24.4%**Avg. citations **1.2** **wikipedia.org**Reference Used **19.8%**Avg. citations **1.1** “Used” is the source-usage percentage shown in the Monitoring preview. Source percentages can overlap because an answer can cite several domains. Sources and cited pages reuse the Monitoring preview’s sample data. Inspect the actual answer and citation before deciding what content to improve. [Explore sources and pages ↗](https://www.igeo.ai/monitoring/) Turn the review into an action table: | Observed gap | Investigation | Possible next action | | --- | --- | --- | | Competitors cited for a comparison | Does your page explain the same buying criteria? | Add a factual comparison with evidence and limitations | | Your product described inaccurately | Which owned and external pages contain the claim? | Correct the source material and request legitimate corrections | | A useful page rarely cited | Is it accessible, discoverable, and relevant to the question? | Resolve access issues or improve the explanation | | Category answers depend on specialist publications | Do those publishers serve your actual buyers? | Evaluate a relevant editorial or distribution opportunity | Prioritize gaps with commercial relevance and a specific fix. A high citation count alone does not make a publisher suitable, and an uncited page may still serve customers well through other channels. **Your output:** a short list of evidence-backed page and source opportunities, each tied to a prompt. ## AI already decides how your brand shows up. Every prompt, citation, and recommendation is a signal. igeo.ai turns that behavior into clear answers and the next action, whether that’s a page to rewrite, a schema to add, or a story to publish. [Book a Demo](https://www.igeo.ai/demo/)[Pricing](https://www.igeo.ai/pricing/) ## Step 6: Connect visibility with identifiable visits and outcomes Set up referral measurement alongside answer monitoring. In GA4, inspect **Traffic acquisition** using session source/medium to identify the sources actually present in your data. Create a custom channel group under **Admin → Data display → Channel groups**. Add an “AI assistants” channel with source conditions matching the assistant domains you observe. Put it before broader channels that would otherwise capture those visits, such as Referral, and select the custom group in your acquisition report. Google provides an AI assistant example and explains that the first matching channel wins. [Google Analytics: Custom channel groups](https://support.google.com/analytics/answer/13051316?hl=en). Check that your rules include intended sources and exclude unrelated domains. Review them when source names change. A custom channel reorganizes collected traffic; it cannot recover a missing referrer or measure an answer viewed without a click. Do not estimate total AI impressions by dividing referral sessions by an assumed universal click-through rate. Create or identify the events representing your business goals, verify that they fire correctly, and mark them as key events in GA4. Measure completed enquiries or purchases rather than treating every button click as a successful outcome. [Google Analytics: Mark events as key events](https://support.google.com/analytics/answer/13128484?hl=en). Inside igeo.aiIllustrative data ### Separate human visits from crawler requests AI referralsAI crawlers Total AI referral entries**486,204**Illustrative reporting period **LLM visit trends**Visits from every LLM provider over time Last 30 days Jun 25Jul 1Jul 11Jul 21Jul 24 ChatGPT**241,860** Claude**78,540** Perplexity**61,920** Gemini**63,410** Copilot**40,474** Identifiable referrals are one measurable outcome. Review landing pages and conversion events in your configured analytics to assess business impact. The Analytics preview shows identifiable referral entries and crawler requests separately. Neither a crawl nor a citation proves a visit, lead, or sale. [Explore AI traffic analytics ↗](https://www.igeo.ai/analytics/) The [igeo.ai Analytics](https://www.igeo.ai/analytics/) workflow brings AI traffic, crawler activity, search performance, and connected analytics into one place. Examine referral landing pages alongside key events, and keep bot activity separate from human visits. Google's documentation describes AI Overviews and AI Mode traffic as included in Search Console's **Web** performance reporting. Do not label all Google organic traffic as AI traffic; consult the current reporting definitions for any available breakdown. [Google Search Central: Measuring AI-feature performance](https://developers.google.com/search/docs/appearance/ai-features#measure-performance). For your own campaign links, use UTMs consistently. A LinkedIn visit promoting this guide belongs to the LinkedIn campaign, even though the topic is AI search. **Your output:** a separate referral-and-outcomes report with its attribution limits stated. ## Step 7: Turn the evidence into content and distribution work Choose a small batch of changes you can explain and evaluate. Each brief should name the target prompts, observed gap, page or source to change, owner, and expected observable outcome. Improve the substance first: answer the buyer's question, state product capabilities precisely, explain tradeoffs, cite supporting evidence, and remove outdated information. Use headings, tables, and steps when they make the answer easier to use. Check technical access before investing in another article. For Google's AI features, supporting pages must be indexed and eligible to appear with a snippet. Google does not require special AI schema or new machine-readable files, and meeting its requirements does not guarantee inclusion. [Google Search Central: Eligibility and best practices](https://developers.google.com/search/docs/appearance/ai-features#how-to-appear). The [igeo.ai feature workflows](https://www.igeo.ai/features/) connect prompt research and content gaps with agent-assisted work. Review generated drafts against approved product facts and primary sources before publishing. Start by checking **BrandHub** context so the brief uses consistent positioning and verified product information. Use the **Prompt** and **Source** agents to investigate question and citation opportunities, the **Content** agent to prepare evidence-based drafts, and the **Optimization** agent to propose metadata, schema, and on-page improvements. The **Watch** agent supports investigation of visibility drops. Review the proposed work and approve publishing through your configured workflow; available actions depend on permissions and connected tools. Inside igeo.aiIllustrative data ### Turn a visibility gap into reviewed content 1\. Diagnose the gap2\. Prepare content 01 Signals02 Gaps03 Actions FlowSend · Email marketing ### Mentioned. But not the preferred choice. BrandAI response FS**FlowSend**Mentioned C**Competitor**✓ Recommended AI includes FlowSend but gives buyers stronger reasons to choose a competitor. See the gap ### The gap is proof, not features. Your cited content**Product features** Competitor’s cited content**Customer results** Your comparison page explains what FlowSend does. Competitors show the results customers achieve. See the action ### Give buyers a stronger reason to choose you. Recommended action**Add customer proof to the comparison page.** Add relevant customer stories and outcomes to support your positioning. Review and approve the content before publishing. Back to signals This is the website’s Signals → Gaps → Actions walkthrough and content preview. Review the evidence and approve the work before publishing. [Explore the platform features ↗](https://www.igeo.ai/features/) Distribution can support the same buyer question. In [igeo.ai Marketplace](https://www.igeo.ai/marketplace/), evaluate publishers for audience, topic, and market fit, then prepare and review the article. Use citation information as one input to publisher selection, alongside editorial quality and relevance. INSIDE THE MARKETPLACE Same inventory. Two leaderboards. Switch the ranking to see how publisher selection changes. Rank byAI citationsSEO authority Illustrative data for a running-shoe brand | Publisher | AI rank | SEO rank | | --- | --- | --- | | clichemag.comFashion · US | #1 | #51 | | therunningadvisor.comSports · US | #2 | #88 | | runnerstribe.comSports · AU | #3 | #42 | | vocal.mediaCulture · US | #4 | #9 | Showing the top four sample publishers by AI citation rank. These are demo rankings, not live publisher metrics. [Explore the GEO marketplace →](https://www.igeo.ai/marketplace/) An article being published is an operational result. Earning an AI citation, attracting a referral, and generating an enquiry are separate results to measure afterward. A paid placement does not guarantee any of them. Record exactly what changed, the live URL, and the publication date. When practical, stagger changes or retain comparable unchanged topics so you have context for the next measurement cycle. **Your output:** a reviewed improvement plan and a publication log tied to your original questions. ## Step 8: Re-measure, explain the change, and plan the next cycle Use [igeo.ai Scheduling & Posting](https://www.igeo.ai/scheduling-posting/) to coordinate content, dates, channels, and review stages. Channel connection and publishing options depend on the account and channel; plan around the options available to your team. Inside igeo.aiIllustrative data ### Give approved work a publishing plan ![](https://www.igeo.ai/igeo-icon.svg)**Your publishing workspace** Interactive preview CalendarPost composer Your content plan ### September 2026 ChannelCalendar **The proof behind a better answer**2026-09-14 · 10:00_Posted_↗**Seen in search. Chosen by AI.**2026-09-16 · 10:00_For review_↗**A closer look at our next chapter**2026-09-18 · 09:00_For review_↗**Customer stories, real outcomes**2026-09-19 · 11:00_To do_↗ Click a post to explore its next step.\+ Create a post Example workspace · Explore freely. No accounts are connected and nothing is published. Try the website’s sample calendar and composer. Changes stay in this preview; no accounts are connected and nothing is published. [Explore scheduling and posting ↗](https://www.igeo.ai/scheduling-posting/) Re-run the baseline prompts with the same collection conditions. Compare matched periods and disclose collection failures, prompt changes, or engine changes. Look for repeated movement across relevant questions, then inspect the answers behind it. A rise from 30/120 to 42/120 is a move from 25% to 35% presence: **10 percentage points**. It is still an observation from your sample. Check whether the gain is spread across prompts or driven by repeated runs of one question. Small slices can move sharply after only a few answers. Before-and-after improvement alone does not establish causation. Other campaigns, competitor changes, and changes in the AI systems may occur at the same time. Compare unchanged topics where possible and describe what the evidence supports without assigning every gain to your latest edit. Use a weekly review to answer four questions: 1. Where did presence, citations, or answer accuracy change? 2. Which exact answers and sources explain the movement? 3. What happened to identifiable referrals and qualified outcomes? 4. What will the team change, retain, or investigate next? As the process grows, [igeo.ai MCP](https://www.igeo.ai/mcp/) can connect your visibility data to tools such as Claude, ChatGPT, Cursor, and n8n for custom reporting workflows. A recurring brief should preserve the prompt set, date range, denominators, and evidence links so a person can audit its conclusions. **Your output:** a repeatable review that ends with a decision and an owner. ## Start with one topic and a baseline you can trust Choose a commercially relevant topic, create a balanced prompt set, and collect repeated observations. Calculate presence and citations before adding more metrics. Use the evidence to improve one part of the buyer journey, then measure it again. [Download the measurement worksheet](https://www.igeo.ai/blog/downloads/ai-visibility-measurement-template.csv) to begin, or [book an igeo.ai demo](https://www.igeo.ai/demo/) to see how monitoring, analytics, optimization, and publishing fit your team. ## Sources - [Google Search Central: AI features and your website](https://developers.google.com/search/docs/appearance/ai-features) — eligibility, technical guidance, and Search Console reporting. - [Google Analytics: Custom channel groups](https://support.google.com/analytics/answer/13051316?hl=en) — source classification and AI assistant channel setup. - [Google Analytics: Mark events as key events](https://support.google.com/analytics/answer/13128484?hl=en) — measuring important on-site actions. ## Frequently asked questions ### What is AI search visibility? AI search visibility describes how often and how accurately a brand or its content appears in generated answers for a defined set of questions. Measure brand presence, website citations, answer context, and competitive share separately, with the engine, market, prompt set, and time period stated. ### What is the difference between a mention and a citation? A mention names your brand in the answer. A citation links to a source that supports the answer. An engine can mention your brand while citing another website, or cite your website without naming your brand. Track both outcomes and keep owned-site citations separate from third-party coverage. ### How many prompts should I track? Start with a manageable set that covers your main buyer questions, intents, and markets. This guide suggests 20 to 30 prompts as a practical pilot, not a statistical minimum. Repeat observations across dates and expand coverage where decisions require more evidence. More prompts alone do not remove selection bias or make the sample representative of all users. ### Can Google Analytics measure all AI search visibility? No. Analytics can measure identifiable visits and on-site actions when its tracking collects them. It cannot count answers that people read without visiting your site or recover every missing referrer. Combine referral reporting with direct answer monitoring and Search Console data. ### How often should I measure AI visibility? Use a consistent schedule that fits the decisions you need to make. Daily collection can support weekly reviews of important prompts; a weekly collection may suit an initial pilot. Compare repeated observations over matched periods and allow time for content discovery and processing. There is no universal number of days after which an edit must produce a result. ### Does adding schema or publishing a third-party article guarantee a citation? No. Google says there is no special schema required for its AI features, and eligibility does not guarantee inclusion. Useful content, accurate structured data, and relevant distribution can support your broader search strategy. Measure whether citations and business outcomes actually change after publication. ![Eyal Ben Chaim](https://www.igeo.ai/_next/image/?url=%2Fblog%2Fauthors%2Feyal-ben-chaim.png&w=256&q=75) Written by [Eyal Ben Chaim](https://www.linkedin.com/in/eyal-ben-chaim-55426284/) AI performance developer @ [igeo.ai](https://igeo.ai) [Connect on LinkedIn](https://www.linkedin.com/in/eyal-ben-chaim-55426284/) [Book a Demo](https://www.igeo.ai/demo/)[See more articles](https://www.igeo.ai/blog/) ## Other articles ![](https://www.igeo.ai/_next/image/?url=%2Fimages%2Fteam%2Forel-ohayon.png&w=64&q=75)[**Orel Emil Ohayon**](https://www.linkedin.com/in/orel-ohayon/)CEO & Founder @ igeo.aiOct 26, 2026 / AI search ### [The PHP Security Wake-Up Call: Why It’s Time to Rethink WordPress and Move to igeo.ai](https://www.igeo.ai/blog/php-security-wordpress-migration-igeo-ai/) PHP2Shell highlights the software underneath WordPress. Explore the security evidence, current WordPress statistics, and a static website foundation with igeo.ai. [Read more](https://www.igeo.ai/blog/php-security-wordpress-migration-igeo-ai/) ![](https://www.igeo.ai/_next/image/?url=%2Fimages%2Fteam%2Forel-ohayon.png&w=64&q=75)[**Orel Emil Ohayon**](https://www.linkedin.com/in/orel-ohayon/)CEO & Founder @ igeo.aiOct 11, 2026 / AI search ### [Introducing igeo Websites: Your Existing Content, Ready for the AI Era](https://www.igeo.ai/blog/introducing-igeo-websites/) Bring your existing content into a new website built for AI search. Meet igeo Websites: guided migration, a fresh design, Google Cloud hosting, and ongoing improvements with Joe in [Read more](https://www.igeo.ai/blog/introducing-igeo-websites/) --- Source: https://www.igeo.ai/blog/how-to-measure-ai-search-visibility-2026/ [Documentation index](https://www.igeo.ai/llms.txt) · [Developer documentation](https://www.igeo.ai/developers/)