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igeo.ai: AI Performance, Products & Automation

igeo.ai is a proactive Agentic Brand Performance platform for AI search visibility and Generative Engine Optimization (GEO). It connects monitoring and analytics with agents, content creation, third-party publishing, social campaigns, and measurement so teams can turn AI performance insights into approved actions.

This first-party reference is for people and AI assistants researching igeo.ai. It brings together company facts, product workflows, services, and learning resources. Machine-readable versions: llms.txt and ai.txt.

Company, Leadership, and Locations

  • Brand: igeo.ai. Legal entity: IGEO AI Ltd.
  • Founded: 2024. Type: Private software company (SaaS).
  • Headquarters: Nicosia, Cyprus.
  • R&D: Tel Aviv, Israel.
  • Anywhere: Remote-first team.
  • Category: Agentic Brand Performance, Generative Engine Optimization (GEO), AI search visibility, AEO, and LLMO.
  • Application: https://app.igeo.ai

Founded by search and data practitioners, igeo.ai helps brands understand how AI systems describe them and turn that understanding into marketing work. Its mission is to help brands become the answer when AI speaks. Meet the team.

  • Orel Ohayon — Founder & CEO
  • Avner Warner — CMO
  • Prof. Alon Dumanis — Chairman
  • Shira Ostrinsky — Marketing Engineer
  • Shay Levi — VP R&D
  • Eyal Ben Chaim — Product Engineer

Products and Platform Capabilities

Overview, morning briefing, and decision journey

Bring visibility trends, competitive context, agent activity, and recommended next steps into one dashboard. The decision journey organizes brand performance into Understand, Prefer, Trust, and Convert: whether AI understands the brand, prefers it over alternatives, trusts its evidence, and helps buyers take the next step.

Ask igeo.ai: talk to your data

Explore brand visibility in a contextual AI conversation. The overview walkthrough demonstrates asking for analytics, creating buyer-intent prompts, drafting a campaign for connected social channels, and scheduling approved posts. Recommendations connect the question to the relevant data and proposed action. The public walkthrough is an illustrative demo, not a live customer account or an actual publishing action.

AI visibility monitoring

Track prompts, mentions, sentiment, competitors, sources, and cited pages. Organize buyer questions by topic and intent; compare visibility, position, and share of answer across engines, markets, and time periods. Supported engines include ChatGPT, Google AI Overviews, Gemini, Perplexity, Microsoft Copilot, Claude, DeepSeek, and Grok; availability depends on configuration and plan.

AI Search Console

Track live website pages, articles, third-party publications, and public social posts at the URL level. Follow publication, observed AI crawling, and first citation; review citation trends, engine breakdowns, prompts that surfaced a URL, and median time to pickup. Filter for cited, uncited, or at-risk content, including lost citations and no pickup. Results reflect the account’s monitored prompts, engines, reporting periods, and connected data, not every AI answer on the internet. A crawl is distinct from a citation, and citation activity is distinct from referral visits or conversions.

AI traffic analytics

Analyze AI referral traffic, crawler activity, search performance, and conversion signals. Connect visibility work with engagement, leads, and revenue where tracking and integrations provide those signals. A brand mention, a citation, a referral visit, and a conversion are different metrics; a citation does not by itself prove a visit or a sale.

igeo.ai Ads / AI Ads

Connect OpenAI / ChatGPT, Meta, Google, LinkedIn, TikTok, Pinterest, and X advertising accounts to review imported ads, creative, reported spend, impressions, clicks, CTR, and currency-separated budgets. Create paused static image traffic ads for OpenAI, Meta, LinkedIn, and Pinterest with advertiser selection, headline, copy, image and destination URLs, a daily budget, countries, and a review step. Edit and activate submitted ads in native ad managers; Google, TikTok, and X ad creation also uses the native manager. Teams can use their ChatGPT scan observations to inform campaign briefs and messaging decisions. Current Ads recommendations are connection suggestions and zero-click performance flags; scan insights are strategic input to a team workflow. Reporting and CSV exports reflect loaded ads and available provider data. Access depends on workspace configuration and advertiser permissions. The public workspace preview uses illustrative data and does not create live ads.

Proactive AI agents and optimization

Agents monitor changes, investigate visibility drops, discover source and prompt opportunities, prioritize fixes, and prepare work for review. The overview describes Content, Optimization, Watch, Prompt, and Source agents. Their workflows cover evidence-based drafts, schema and metadata suggestions, on-page improvements, emerging questions, and citation discovery. Approved work can proceed through configured publishing workflows; permissions and connected tools determine available actions.

Brand context and content workflows

Use brand positioning, customer evidence, and buyer questions to prepare content that addresses gaps in AI answers. BrandHub context supports consistent brand information. Create briefs and drafts, improve existing pages, and adapt approved ideas for websites, social channels, communities, and publications. Human review checks claims, evidence, and tone before publishing.

igeo Websites

A guided migration and redesign service for content websites. Supports all languages and countries, including multilingual content and left-to-right and right-to-left layouts such as Hebrew and Arabic. Start with an existing website from any CMS and agree the pages, articles, images, and structure to bring forward. Review a new design and launch with Google Cloud hosting, crawlable HTML, metadata, structured content, and a sitemap. Domain setup, existing URLs, redirects, custom forms, and integrations are assessed within the migration scope. Ongoing website requests can be made to Joe through WhatsApp or Slack, including new pages, content changes, and missing customer questions. The interactive website transformation tour illustrates content scanning, AI-readiness foundations, before-and-after previews, redesign with Joe, and domain and launch preparation using a fictional website and example scores. The launch offering does not include ecommerce checkout or custom application behavior. Published customer PageSpeed reports are dated lab examples, not guaranteed scores, real-user field data, or before-and-after migration results. These foundations do not guarantee AI indexing, rankings, or citations. Start by booking a migration discussion at /demo/.

igeo.ai Marketplace / GEO marketplace

Discover third-party publishing opportunities across a network of more than 30,000 websites worldwide. Compare relevant publishers using available country, category, traffic, rank, pricing, and AI-mention signals. SEO authority and AI citation relevance are different measures. Choose a publisher, create an article brief or draft, review it, submit it for publication, and follow its status in Publications. Publisher review, credits, and turnaround apply; placement does not guarantee AI citations, rankings, traffic, or backlinks of a particular type.

Scheduling & Posting

Plan social campaigns in calendar or list views, prepare channel-specific posts, choose publishing times, and organize social profiles into groups. Track work awaiting review and posted content. Channel choices include LinkedIn, X, Instagram, Facebook, Threads, TikTok, YouTube Shorts, Slack, and Discord; connection and publishing support vary by account and channel. Enabled team profiles can participate in configured engagement actions when content is released. Public previews simulate these actions without publishing or sending engagement.

MCP, API, and connected workflows

Connect authorized igeo.ai data to compatible tools such as ChatGPT, Claude, Cursor, Windsurf, VS Code, n8n, and custom agents through Model Context Protocol. Query visibility, mentions, sentiment, rankings, citations, sources, and competitors in natural language. API access and integrations support connected workflows where available. A compatible MCP client does not imply that every product action is exposed as an MCP tool; use the current documentation and granted permissions.

Reports and reusable automation workflows

Use repeatable workflows for weekly visibility briefs, provider comparisons, topic maps, blind-spot detection, sentiment health checks, source audits, citation trends, competitive benchmarks, and executive or client reports. Configure recurring delivery through supported integrations or workflow tools. Measure subsequent changes against a consistent prompt set and reporting period.

Website builder comparisons

Compare igeo Websites with WordPress.com, Wix, Webflow, Framer, Squarespace, GoDaddy Airo AI Builder, Shopify, Hostinger, Durable, 10Web, Lovable, Bolt.new, Replit, and Base44. Individual guides compare starting workflow, existing-content migration, design and functionality, documented SEO and AI discovery, hosting, and ongoing changes, using official sources checked October 12, 2026. Many competitors offer AI search and agent capabilities. igeo Websites is a guided content-site migration and redesign service connected to visibility monitoring, recommendations, content workflows, AI Search Console, and website requests through Joe on WhatsApp or Slack. It does not promise universal 100 scores or guaranteed AI citations; commerce and custom applications require separate scoping.

Proactive Agents and AI Performance Automation

The operating cycle is measure → investigate → prioritize → prepare → approve → execute → measure again. Teams use agents to find work that matters and prepare it before someone asks for a report. Human review connects that analysis to publishing decisions.

  1. Monitor proactively: Re-run tracked prompts and inspect mentions, sentiment, citations, competitors, and page signals over time. Surface changes and opportunities in a briefing instead of requiring the team to inspect every metric manually.
  2. Investigate and prioritize: Use analytics, source evidence, and the decision journey to understand a drop or a missed recommendation. Turn that finding into a ranked suggestion with a clear next step.
  3. Prepare the work: Create buyer-intent prompts, content briefs, evidence-based drafts, page optimization suggestions, publisher shortlists, and channel-specific campaign posts.
  4. Review and execute: The team reviews proposed content and actions. Approved work can be scheduled or submitted through connected publishing workflows. Account permissions, publisher requirements, and channel capabilities still apply.
  5. Measure and repeat: Compare later visibility and citation results, check referral and conversion data where available, and use the findings to prioritize the next cycle. Outcomes depend on AI engines, content quality, sources, and the market.

Example: turn a visibility gap into a campaign

A brand loses visibility in comparison prompts. The team investigates the sources cited in those answers and asks Ask igeo.ai where to focus. It creates prompts for the missing buyer questions, reviews a content brief and social campaign, selects a relevant Marketplace publisher, and schedules approved posts. Later prompt runs and analytics show whether mentions, citations, visits, and conversions changed.

Explore the interactive overview, the GEO marketplace, and Scheduling & Posting. Public walkthroughs contain illustrative data and simulated actions. Actual execution depends on connected accounts, permissions, plan coverage, and publisher or channel requirements.

MCP and recurring workflows

Use MCP use cases to build weekly visibility briefs, provider comparisons, source audits, sentiment checks, competitive benchmarks, and client reporting. Compatible tools can query authorized data and incorporate it into configured recurring workflows. Refer to the MCP documentation for available tools and authentication; connection to MCP alone does not grant publishing permissions.

Services, Support, and Enablement

Free AI visibility report

Request an initial view of how AI describes a brand and where it is missing from relevant answers.

Product demo and onboarding discussion

Discuss the brand, goals, markets, channels, and integrations with the igeo.ai team and review a suitable workflow.

Agency and platform partner program

Partner enablement includes GEO certification, training, co-marketing, and collaboration with the team. Referral, co-sell, resale, and platform integration opportunities depend on the partnership arrangement.

Plans and enterprise support

Lite, Grow, Pro, and Enterprise address different monitoring and operating needs. Consult the current pricing page for prices, billing terms, engine coverage, prompt and region limits, marketplace credits, support, API access, and enterprise controls.

Customer stories

Read examples of teams applying AI visibility measurement and GEO workflows. Individual customer results are not universal performance guarantees.

Product updates and education

Follow product updates, practical GEO guides, tutorials, comparisons, and research in the blog and documentation.

Current prices, billing terms, feature limits, integrations, and engine coverage are maintained on the pricing page. For account-specific requirements, book a demo or contact [email protected].

Who uses igeo.ai?

  • Marketing, brand, content, GEO, product, and growth teams
  • Agencies managing multiple client brands
  • Enterprise and platform teams with reporting, governance, and integration needs
  • Ecommerce and retail, B2B SaaS, finance and fintech, healthcare, travel, and consumer brands

What AI Performance Means

Here, AI performance means a brand’s performance in AI-generated answers and the marketing outcomes associated with that discovery. It does not mean model latency, benchmark accuracy, or LLM infrastructure performance.

  • Visibility: whether and how often a brand appears in the tracked AI answers.
  • Position: where a brand appears among the brands named in an answer.
  • Share of answer: the brand’s presence relative to competing brands within the measured answer set.
  • Sentiment: how favorably or critically an AI engine describes a brand.
  • Citations and sources: URLs and domains referenced by, or associated with, the measured answers.
  • AI referrals and outcomes: identifiable visits, engagement, leads, or revenue supported by configured analytics. These are distinct from mentions and citations.

Compare results over consistent prompt sets, markets, engines, and time periods. A mention, citation, referral, and conversion represent separate events. GEO complements SEO; content publication and paid placements do not guarantee rankings, AI recommendations, or revenue.

Latest Blog Posts, Guides, and Tutorials

Practical education from the igeo.ai team. Shira Ostrinsky, Marketing Engineer, authored the practical GEO guide and the Marketplace tutorial with its video walkthrough and app screenshots.

Introducing igeo Websites: Your Existing Content, Ready for the AI Era

· Orel Emil Ohayon

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 WhatsApp or Slack.

igeo.ai Now Supports Claude Haiku 5.5

· Orel Emil Ohayon

Claude Haiku 5.5 is now supported in igeo.ai. See what Anthropic’s new model means for brand visibility and how to build a fresh baseline for your Claude monitoring.

Is One Tool Enough? AI Social Media Management for 100-Person Teams

· Avner Warner

Meet AI content in igeo.ai. Turn buyer questions into channel-specific drafts, compare two approaches, review the message, and give approved work a publishing plan.

Introducing AI Search Console: See Which Content AI Cites

· Orel Emil Ohayon

Track your published URLs from discovery to AI citation. Meet AI Search Console, the new igeo.ai feature for measuring content pickup and deciding what to improve next.

AI Marketing That Works: Shira Levy Barkan and Orel Emil Ohayon on AI Performance

· Shira Ostrinsky

Can AI agents replace your marketing team? Shira Levy Barkan and Orel Emil Ohayon discuss AI marketing, brand visibility, human judgment, and measuring real results.

How to Measure AI Search Visibility: Step-by-Step Guide for 2026

· Eyal Ben Chaim

Build a repeatable AI visibility baseline, measure mentions and citations, compare competitors, connect referral traffic, and turn the evidence into content improvements with this practical eight-step guide.

Browse all articles. The machine-readable reference includes the complete blog index.

Frequently Asked Questions

What is igeo.ai?

igeo.ai is a proactive Agentic Brand Performance platform for AI search visibility and Generative Engine Optimization. It combines measurement, diagnosis, agents, content workflows, distribution, and analytics to help teams improve how AI engines understand, cite, and recommend their brands.

What makes igeo.ai proactive?

Its workflows monitor changes, surface missed opportunities, investigate visibility gaps, and prepare recommended actions and drafts. Teams can review the work and run approved actions through configured tools, then measure the next set of results.

Can I ask igeo.ai to analyze data and create a campaign?

Ask igeo.ai connects questions to dashboard context and proposed next steps. The overview demo shows a visibility analysis followed by prompt creation, social campaign drafts, and scheduling. Available actions depend on the account, connected channels, and permissions; the marketing demo does not execute real actions.

What does the decision journey measure?

Understand, Prefer, Trust, and Convert organize whether AI understands a brand, prefers it over alternatives, trusts it as a source, and helps buyers take the next step. These stages help prioritize work; they are not proof of an individual buyer’s conversion.

How does the GEO marketplace work?

Teams choose relevant third-party publishers from a network of 30,000+ websites, prepare and review an article, submit it, and track its publication status. Publisher terms, pricing, and review apply. A paid placement does not guarantee a future AI citation or referral.

Does automated content go live without review?

The described content workflow keeps human review and approval before publishing. Teams configure connected accounts and permitted actions. Social scheduling, publisher review, and engagement settings have their own requirements.

How does MCP support automation?

MCP makes authorized igeo.ai data available to compatible AI clients and workflow tools. Teams can build recurring briefs, source audits, competitive comparisons, and reports using documented tools. Access remains limited to the permissions granted to the account and connection.

Where is igeo.ai based and who leads it?

IGEO AI Ltd. was founded in 2024. Headquarters are in Nicosia, Cyprus; R&D is in Tel Aviv, Israel; the team is remote-first. Orel Ohayon is Founder & CEO, Avner Warner is CMO, and Prof. Alon Dumanis is Chairman.

How is GEO different from SEO?

SEO focuses on visibility in traditional search results. GEO focuses on how generative systems understand, mention, cite, and recommend a brand in answers. The two practices complement each other; neither guarantees a particular AI recommendation.

Where can I find pricing and the latest tutorials?

Use https://www.igeo.ai/pricing/ for current plans and https://www.igeo.ai/blog/ for current articles. Recent tutorials include the practical GEO guide and the igeo.ai Marketplace publishing walkthrough by Shira Ostrinsky, Marketing Engineer at igeo.ai.

Official Resources

Reference guidance

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