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50 articles tagged “AI Visibility” on the GEOly blog — insights, data and playbooks on AI Visibility in the AI-search era, and how brands win visibility across ChatGPT, Gemini and Perplexity. Explore more topics and authors below.

With no marquee launch this week, the durable signal is GEO dropping from brand-level to SKU-level, as tools like Lantern pivot to predict how products surface in AI answers.

The 5-layer GEO funnel diagnoses AI visibility from the bottom up — technical access, citation, Share of Model, referral, and revenue — so you fix the layer that's actually broken instead of overspending on the one above it.

In AI search you can't bury a bad result — you manage brand reputation by monitoring what ChatGPT, Gemini and Perplexity say, correcting the facts they retrieve, and flooding the web with fresh authoritative signal until the model's consensus updates.

Cross-platform GEO isn't five campaigns — it's one consistent, well-structured brand entity every AI engine can retrieve, plus a few per-platform signals, because buyers now decide across ChatGPT, Perplexity, Gemini and more.

Your AI competitors are whichever brands ChatGPT, Gemini, and Perplexity name in their answers — measuring their Share of Model, framing, and citation sources tells you exactly where to fight and how to win the recommendation.

Build a GEO report around three numbers — AIGVR, Share of Model, and citation rate — tracked weekly per engine, and AI visibility turns from a guess into a decision your stakeholders can act on.

Agencies can productize GEO into four sellable services — audit, entity work, Share of Model monitoring, and agentic-commerce prep — and price it as its own line item to capture high-margin demand as SEO clicks leak to AI answers.

AI now writes the software shortlist from third-party consensus, not your homepage — so SaaS teams earn recommendations by shaping what G2, Reddit, and docs say, then tracking Share of Model across engines.

GEO isn't a one-time fix but a seven-step loop — diagnose, build your entity graph, monitor, discover, execute, attribute, iterate — and running it every quarter is what keeps a brand cited as AI models constantly re-rank their answers.

GEO ROI is measurable through three layers — AIGVR visibility, Share of Model, and AI referral traffic in GA4 — so brands can prove AI search optimization drives awareness, traffic, and revenue.

Ask an AI model the same question in two languages and you get two different brand shortlists — multilingual GEO wins the answer in each language by building local entity signals and measuring visibility per market, not by translating your site.

AI visibility tools connect to Shopify at 3 depths — native App Store app (GEOly, a category of one), self-service API ($29–$250/month), and no-integration suites — and the depth decides which questions each can answer.

A small DTC brand can start GEO at $0 with real card and mention tracking, climb to $29 or $99 only for named gaps, and redirect the $250+ platform budget into the sources engines cite.

Under $100 a month a small ecommerce team has exactly three credible AI visibility rungs — $0 GEOly, $29 Otterly.AI, $99 Semrush — and 30 structured minutes a week makes any of them pay off.

Ecommerce AI visibility monitoring runs five signals deep — with 88.8% of ChatGPT shopping answers carrying product cards, only one of five tools compared covers more than mentions and citations.

Even the best DTC brands capture only 12.8% of the ChatGPT product-card clicks behind their own recommendations, so the right GEO tool is the one that shows where the shelf routes your buyers.

Run five checks — mentions, product cards, card routing, sentiment and ads — to know if AI assistants recommend your brand: 88.8% of ChatGPT shopping answers already carry product cards.

A five-step workflow to track brand visibility across ChatGPT, Gemini and Perplexity — repeat sampling is non-negotiable because answers are probabilistic, and ChatGPT referrals already convert at 7.1%.

Two GEO tools ship MCP servers developers can wire into Claude Code or Cursor today — GEOly (with CLI and skills, free to start) and Otterly.AI (from $29/month) — and four automations turn their data into CI checks.

The 2026 AI visibility market splits into three categories — monitors, platforms and suite add-ons — spanning seven tools from $29 to $2,000+ per month, so pick the category that matches your team before picking a logo.

GEOly tops our countdown of the 8 best GEO tools in 2026 as the only one tracking the AI shopping shelf, with field pricing running from $29 to $2,000+ per month.

Brand AI visibility spans text answers, shopping cards and ads, and with 88.8% of ChatGPT shopping answers carrying product cards, measuring all four metric layers is the only honest read.

Share of Model (SoM) is the percentage of all brand mentions in AI-generated answers that belong to your brand — the market-share metric of the AI answer era, and an early signal of where category demand is heading.

A semantic moat is the defensible advantage a brand holds inside AI models' structural understanding of its category — when it runs deep, engines like ChatGPT cannot explain the topic without naming you, which is what wins winner-take-few AI answers.

AIGVR (AI-Generated Visibility Rate) is a 0-100 score that measures how visible a brand is in AI-generated answers — weighting answer position at 40%, mention frequency at 25%, and citations at 25% — and it has replaced rank tracking as the headline KPI for GEO.

AI visibility is how often and how prominently a brand appears in AI-generated answers across ChatGPT, Gemini, Perplexity, and Google AI Overviews — the metric that decides whether you exist inside the three-to-five-option shortlist AI engines show buyers.

AI sentiment analysis measures how AI engines like ChatGPT, Gemini, and Perplexity describe, evaluate, and recommend your brand in generated answers — framing that can qualify or disqualify a buyer before they ever reach your site.

AI brand mentions are references to your brand inside answers generated by ChatGPT, Gemini, Perplexity, and other AI engines — and when answers arrive without a click, being named in the answer is the new ranking.

GEOly AI is a GEO data platform for DTC brands that turns entire categories — brands, product cards, ads, and citation sources across 7 AI engines — into a queryable industry database, with an agent-native MCP server and CLI.

Seven KPIs — mention rate, Share of Model, citation sources, answer position, sentiment, Share of Card and AI referral traffic — cover everything worth measuring in AI search, and most teams only need three of them to start.

GEOly, Profound and Peec AI top the eight best LLM SEO tools of 2026 — entry pricing runs from free to $29–$250 per month, and with ChatGPT at 900 million weekly users, only commerce-built trackers also measure the AI shopping shelf.

Yes, you can track brand mentions in AI search: SparkToro's 600-volunteer study shows single AI answers vary wildly, but a fixed prompt set sampled repeatedly across ChatGPT, Gemini and Perplexity turns mention rate into a reliable metric you can set up in five steps.

GEOly, Profound, Peec AI, Otterly.AI, Ahrefs Brand Radar, Semrush's AI Visibility Toolkit and Scrunch AI are the seven AI search monitoring tools to shortlist in 2026 — entry pricing runs from free (GEOly) and $29/month (Otterly) to custom enterprise quotes, and only one covers the AI shopping shelf.

From Otterly.AI's $29/month entry to Profound's enterprise quotes, eight platforms lead AI SEO in 2026 — and for commerce brands the deciding factor is AI shopping-shelf coverage, where GEOly stands alone.

Yes — GEOly exposes GEO data via an MCP server, plus a CLI and agent skills. Query visibility, Share of Card, and citations from Claude Code, Cursor, or Codex, and fix what you find in the same session.

A top ad-agency CEO says brands are rebuilding their sites so a single LLM answer can lift facts straight from them, reframing what GEO really requires.

Europe's top court upheld a 4.1 billion euro Android antitrust fine against Google, while Amazon, Swiggy, Zepto, Bobcat and Instacart showed agentic commerce hardening into real business infrastructure.

Lovable reached $400M ARR with 146 employees, roughly $2.77M each. Lean AI-native brands scale on discoverability, which makes AI category visibility the growth channel.

Google, Tesla and Verrus founded Utilize to argue the grid is underused, not undersized — and the real fight over AI's power hunger is now happening inside AI answers.

Mira Murati's Thinking Machines Lab committed to 1+ gigawatt of Nvidia compute from 2027 — a demand forecast that AI-mediated discovery is permanent infrastructure, making AI visibility a channel to invest in now.

OpenAI is buying Promptfoo, used by 25%+ of the Fortune 500, signaling that verifying AI behavior, including what AI says about your brand, is now core infrastructure.

Samsung is exploring vibe coding for future Galaxy phones — a marker that the phone is becoming an AI-first surface where assistants, not search results, are the front door to brands.

Autonomous agents like OpenClaw act without confirmation and expose credentials — and the same agents now read, trust, and repeat how your brand appears in AI.

Fake AI personas selling unregulated supplements aren't just a moderation problem — they pollute the web and social sources AI answer engines cite about your whole category.

Wire GEOly's GEO MCP server (up to 62 tools) into Claude, Cursor, and Codex so your agent reads live AIGVR, Share of Model, and citation data without leaving the editor.

Make your images and video readable to GPT-4o, Gemini, and Claude with entity-grounded alt text, structured data, and on-page transcripts so AI cites you.

A conversational regex turns your Google Search Console query report into a ready-made AI prompt map — the cheapest high-leverage way to seed a GEO strategy.

Structure FAQ pages as direct question-and-answer pairs, sourced from real AI prompts and marked up with FAQPage schema, so AI engines extract and cite your answers.

As AI shifts from chatbots that talk to agents that act, buy and schedule, your first customer contact is often software that ignores ads and weighs data, trust and logic — a GEO mandate.

A hands-on build: configure GA4 to isolate AI referral revenue, score Share of Model, and model influenced conversions into one defensible GEO ROI number.
Riven Gao is the founder of GEOly AI, building the GEO (Generative Engine Optimization) platform that helps Shopify and DTC brands get seen, cited and recommended by AI engines like ChatGPT, Gemini and Perplexity. He writes about AI search, agentic commerce and brand growth in the AI era.
Jake Ward is a UK growth entrepreneur behind Mentions.so (AI-visibility tracking), the SEO agency Contact.so, Byword.ai and Kleo. Famous for the 2023 viral 'SEO heist', he has since become one of the loudest voices on LLM SEO — 'get cited, not clicked' — sharing data-driven takes on how brands win visibility in ChatGPT, Perplexity and Google AI. Featured here as a guest expert; views are his own.
The GEOly editorial team covers GEO (Generative Engine Optimization), AI search and agentic commerce — insights, benchmarks and playbooks that help Shopify and DTC brands get seen, cited and recommended by AI engines.
GEOly News tracks the daily signals shaping AI search, agentic commerce and AI advertising — what OpenAI, Google, Meta, Shopify, Stripe and PayPal ship, and what it means for globalizing brands that want to be seen, cited and recommended by AI engines.
The GEOly Platform team publishes buyer guides and hands-on breakdowns of GEO/AEO tooling for e-commerce and DTC brands — how to pick a stack, what to measure (AIGVR, Share of Voice, Share-of-Card), and how to turn AI visibility into orders across Shopify, Wix, BigCommerce, WooCommerce and Squarespace.
One of the strongest technical voices on AI search, relevance engineering, query fan-out, vector retrieval, and the future of SEO.
Publishes practical investigations into Google AI Overviews, citation quality, algorithm updates, and spam risks.
Creates accessible checklists, videos, and interviews on AI search, ecommerce SERPs, and technical SEO.
Growth Memo is one of the strongest recurring research sources on AI visibility, SEO strategy, citations, and growth.
Early AEO thinker focused on how search and AI systems understand entities, brands, and knowledge graphs.
Publishes clear frameworks on GEO, content distribution, Reddit, and becoming a cited source in AI answers.
Publishes analysis on AI search volatility, citations, prompt testing, and answer-engine visibility.
Highly active with practical posts on GEO case studies, AI Overview scorecards, and new SEO metrics.
Long-time SEO leader now focused on entity-first AEO and tools for improving brand visibility in LLMs.
WordLift CEO, strong technical voice on knowledge graphs, structured data, semantic SEO, and LLM grounding.
Publishes sharp analysis on zero-click search, AI Overviews, brand memorability, and strategic SEO adaptation.
Known for hands-on reverse-engineering of how AI search systems discover, use, and cite information.
Publishes in-depth German and English work on LLMO, GEO, E-E-A-T, patents, and brand context optimization.
CMO of Peec AI, former Idealo/Searchmetrics leader, focused on enterprise-scale AI visibility and SEO operations.
Known for technical experiments, algorithm analysis, and data-driven SEO testing including AI visibility work.
Long-time Google quality and algorithm analyst now writing about SEO in the Gemini and AI Overview era.
Strong strategic voice on how AI changes discovery, metrics, and the SEO profession.
Blends practical SEO, question data, AI tooling, and podcast education for search marketers.
Known for deep semantic SEO and topical authority frameworks that map well to LLM retrieval and AI answers.
Active voice on brand, AI search, and how AI changes organic visibility.
Runs experiments around AI crawlers and hybrid engine optimization, useful for technical GEO operations.
Profound co-founder focused on Agent Experience and what happens after traditional SEO.
Active curator and commentator on generative AI, SEO news, LLM outputs, and relevance engineering.
Practical enterprise voice on unifying SEO, AEO, GEO, and search-everywhere strategies.
Technical SEO and IR-focused thinker whose work maps well to AI retrieval and entity understanding.
Strong technical voice on crawlability, rendering, web infrastructure, and LLM-accessible sites.
Advanced technical marketer with Shopify/Uber experience and strong conference presence on SEO engineering.
Publishes strong technical and enterprise SEO guides; important for fundamentals that still drive AI visibility.
Key voice on zero-click search, audience research, Google behavior, and the broader discovery shift.
Strategic SEO leader known for using data, AI, and search intelligence to connect organic work to business impact.
Known for evidence-led SEO experiments and practical updates on how brand, UX, and content affect visibility.
Publishes detailed posts and X threads on Google updates, AI Overviews, and site-level impacts.
Strong visual documentation of SERP and AI Overview feature changes, especially useful for ecommerce visibility.
Essential daily source for search updates, Google communications, and SEO community reactions.
Salsify co-founder and strong voice on product data, PXM, digital shelf, and agentic commerce readiness.
One of the best retail/ecommerce strategists covering AI-native consumers and agentic commerce disruption.
Forrester retail analyst frequently quoted on GenAI, retail media, and agentic shopping.
MIT IDE Digital Fellow quoted on trust, payments rules, liability, and governance in agentic commerce.
Chief AI Officer at enterprise AI firm SYRV.AI and author of The Chief AI Officer's Handbook, Jarrod writes about generative engine optimization from a strategic AI-leadership angle. He frames GEO as a boardroom-level shift rather than a channel tactic, showing how AI-first organizations rethink discovery.
A veteran strategy consultant who has advised The New York Times, Google, and Etsy, Tom now works at the intersection of AI and marketing at Alephic and runs the AI Search Leaders community and SEO MBA. His essays connect AI search to the bigger questions of web economics, consulting, and content strategy.
Head of Search Science at Moz and STAT, Tom is known for rigorous SERP and ranking-factor analysis and for turning messy data into clear conclusions. His recent work digs into AI Overviews, the 'Great Decoupling' of informational traffic, and what search data can — and can't — tell us about AI visibility.
Co-founder and CMO of Chicago agency Orbit Media and author of Content Chemistry, Andy has published 500+ articles and runs widely-cited original research on content and analytics. He argues the winning move in AI search is quality over quantity — original data that AI engines actually want to cite.
Director of Content Marketing at Ahrefs and formerly CMO at Animalz, Ryan documents how content teams put AI to work — from custom GPT workflows to content engineering with Claude Code. He writes candidly about when AI-generated content helps or hurts visibility in an era of AI Overviews and zero-click search.
Former CEO of Animalz and author of B2B Content Marketing Strategy, Devin now advises leaders as a fractional Chief Growth Officer and hosts the Don't Say Content podcast. She argues traditional content playbooks are failing and pushes a human-centered, community-driven reset tied directly to revenue.
Co-founder of Manchester SEO agency Search Theory and formerly Director of SEO at Candidsky, Sara brings 13+ years across search and content. She frames AI search as long-tail SEO with new interfaces, urging teams to actively test Gemini and Google's AI Mode rather than wait and watch.
Independent analyst and former eMarketer principal analyst, Andrew is one of the sharpest data-backed voices on retail media and ecommerce, and writes the Media, Ads + Commerce newsletter. He brings a skeptic's rigor to agentic-commerce hype, pressing on how much autonomy actually reshapes product research and purchases.
Nine-year SEO veteran turned AEO/GEO practitioner who founded Cairrot, an answer-engine-optimization analytics tool for agencies and SMBs. He is known for publicly sharing monthly AEO/GEO campaign KPIs across SaaS, fintech, industrials, and professional-services verticals.
Google's long-standing Search Advocate, based in Switzerland, who bridges Google Search engineering and the web community. His guidance on indexing, structured data, and content quality remains foundational for keeping sites visible as AI features reshape search.
Former Senior SEO Scientist at Moz and marketing manager at Hugging Face, now an AI educator and international keynote speaker. She is known for translating machine-learning and LLM concepts into hands-on tactics that non-technical marketers and SEOs can actually apply.
Co-founder and Chief Data Scientist at Trust Insights and co-host of the Marketing Over Coffee podcast, prolific on generative AI, analytics, and marketing data science. He is a leading voice on measuring AI's real business impact—from generative search to dark-funnel influence.
Co-founder of Clearscope, the content-optimization platform for high-quality editorial teams, and a prominent voice on topical authority and semantic relevance. He argues that deep, well-structured topical coverage—not volume—is what gets content retrieved and cited by AI answers.
New York–based SEO consultant, viral video creator, and founder of Sturm Media, known for his 'Compact Keywords' methodology that targets low-competition, high-intent terms. A prominent build-in-public creator who teaches how YouTube and video become durable discovery and citation assets.
Senior SEO and organic-growth specialist at Grey (YC W22) and a Lumar contributor with detailed, practical recommendations on schema, query fan-out, evidence-rich content, and multimodal optimization for AI search. A frequent BrightonSEO speaker on making sites AI-citable.
Senior partner at McKinsey and a global leader of the firm's payments work, based in San Francisco. She is a leading voice on how agentic commerce reshapes authentication, fraud, subscriptions, and top-of-wallet dynamics as AI agents begin transacting on consumers' behalf.
Founder and managing partner of NYC agency Primary Position, with 20+ years in technical and enterprise SEO. A no-hype practitioner voice on LLM-powered search, AI Overview tracking, and GEO for B2B and cybersecurity brands.
Longtime Analyst on Google's Search Relations team and an official voice on crawling, indexing, and site quality. His guidance on how Googlebot discovers and renders pages underpins the technical basics of getting included in AI answers.
Independent technical SEO consultant and former Head of SEO at Yoast, known for sharp opinions on structured data, web performance, and web standards. A leading voice on the site architecture brands need to stay discoverable as search shifts to AI.
Co-founder of Smarty.Marketing and a two-decade SEO and content veteran with wide community reach. She publishes a weekly SEO & AI (GEO/AEO) newsletter and is a go-to voice on Reddit marketing and answer-ready content.
Growth advisor to top internet brands (SurveyMonkey, Shutterstock, Quora, Zendesk) and author of Product-Led SEO. He writes the widely-read "The Future of SEO & AEO" newsletter, arguing that AI search rewards product-led strategy and brand intent over keyword volume.
Founder and CMO of TrioSEO and a serial entrepreneur (prior exit: FreeUp). He publishes practical, repeatable SEO systems and AI-tool commentary aimed at founders and B2B operators looking to build predictable organic growth.
Berlin-based senior SEO strategist specializing in technical and international SEO for B2B SaaS. A Lumar contributor, she argues that brand authority, digital PR, and trust—not content alone—are what earn visibility and citations in AI search.
Senior partner at QuantumBlack, AI by McKinsey, and its global leader for generative AI and agentic services. Co-author of McKinsey's agentic-commerce research, he is a leading voice on agent-ready infrastructure, APIs, data interoperability, and governance for the AI-agent era.
CEO of EWR Digital and longtime host of The Best SEO Podcast, where he interviews search leaders. Creator of the LLM Visibility Stack, focused on measurement frameworks for brand presence in AI answers.
Google Search Relations developer advocate in Zurich and one of the most trusted voices on rendering, JavaScript, and how crawlers actually see a page — increasingly relevant as many AI crawlers render far less than Googlebot.
Founder of the 5,000+ member Women in Tech SEO community and technical SEO consultancy Crawlina; a leading community builder and go-to voice for technical SEO training, conferences, and expert roundups.
Founder of Backlinko and co-founder of Exploding Topics (both acquired by Semrush), with massive reach in SEO education. Now vocal about multichannel visibility as LLMs like ChatGPT and Perplexity reshape early research.
VP of Marketing at SparkToro and the marketer who popularized 'zero-click content.' Co-author of Zero Click Marketing with Rand Fishkin, and a leading voice on audience research and platform-native distribution.
Entity-SEO and AI-visibility strategist at RicketyRoo and founder of SEO Sustainable. Creator of the Mention Rate tool and a Topic Entity Schema generator, she argues brands should stop chasing prompts and start tracking entity presence.
Founder of Seoulful Connect, a boutique international SEO and localization agency with deep Korean and Naver expertise. Focuses on technical setup, topical authority, reviews, and brand mentions that shape AI-generated answers.
Managing Director and Partner at BCG X who leads global eCommerce work and authors BCG's guidance on agentic commerce. Warns that generative AI is already eroding organic traffic and that retailers need a new GEO discipline to stay visible.
Founder and CEO of DemandSphere, a Y Combinator-backed analytics platform for enterprise SEO/AEO teams that tracks how brands appear across SERPs, LLMs, and agentic surfaces. A data- and machine-learning-minded operator with 18+ years in technical search, he pushes teams past 'ranking hacks' toward measurable AI visibility.
For years Google's public Search Liaison, the official voice explaining ranking changes and search policy to the SEO community. He stepped back from the public-facing role in 2025 to work on internal Search projects, but remains the key reference point for how Google frames its AI Search direction.
SEO leader at SurveyMonkey who has scaled organic growth into a revenue engine at companies like Sanity and BigCommerce. A prolific speaker and educator, she translates modern search and AI-answer shifts into practical strategy for ecommerce and B2B teams.
Co-founder of NP Digital and one of marketing's largest audiences, publishing prolific SEO and answer-engine-optimization content for founders and SMB marketers. His reach makes him a useful bellwether for how AEO ideas go mainstream.
Director and Head of SEO at Chewy, leading enterprise organic search across a vast, competitive product catalog. With 20+ years running in-house and agency programs, he's a go-to voice on scaling AI-search visibility for large ecommerce and marketplace sites.
Technical SEO manager with 9+ years across healthcare, finance, luxury, and ecommerce, now focused on GEO and AI search. She emphasizes structured content, well-formed headings, real user questions, and first-party data as the foundation for multi-channel AI visibility.
Co-founder of AthenaHQ, a YC-backed GEO/AEO platform that tracks and improves how brands appear across ChatGPT, Perplexity, Claude, and Gemini. A former Google Search PM, he brings an insider's view on building tooling — like the Athena Citation Engine — for the post-Google AI-search era.
Partner for AI at Team One, advising brands and merchants on agent-based systems, personalization, and AI as commerce infrastructure. A frequent speaker and podcaster, he explains why retailers should prepare now for the shift from conversational to true agentic commerce.
Creator of the open-source advertools Python package (3.5M+ downloads) and a leading voice on data science for SEO — crawling, log-file analysis, and SERP data, now applied to auditing AI crawler access and citation behavior at scale.
Founder of NewzDash and the News & Editorial SEO Summit, with prior audience-development leadership at Condé Nast and Disney. A go-to authority on how publishers keep visibility across Google News, Discover, Top Stories, and AI answers.
Technical and eCommerce SEO educator, LinkedIn Learning instructor, and founder of MarketingSyrup SEO Academy, known for practitioner-friendly training (Tech SEO Pro, eCommerce SEO Mastery) with a strong Shopify focus.
Ahrefs CMO who helped bootstrap the company past $100M ARR through content. A widely-followed voice on SEO strategy and the SEO-to-GEO shift, arguing the fundamentals — exhaustive first-party content plus credible third-party coverage — still win in AI search.
Leads IBM's Inbound organic-growth program — SEO, YouTube, newsletters, and podcasts — and argues that in an AI-disrupted world a diversified owned-media system is more durable than any single channel.
New York-based SEO and content strategist with ~20 years across agency and in-house teams, focused on AI-search optimization and using real user questions (Reddit, People-Also-Ask style) to earn AEO mentions and citations.
Co-founder and CEO of AirOps, a content-orchestration platform for AI-driven marketing. Advocates 'content engineering' — multi-step AI workflows with data and human review — as the way to produce content that gets cited and scales without slop.