{"allowContribute":false,"item":{"activeCommit":"aa78629a63b2fa68079a52d7e71e3e5ef5af2063","apis":{"routes":[],"types":{}},"backendSchedules":null,"bundleHash":"7076bf60d0ec2348","createdAt":1787248329575,"displayName":"AI Visibility Market Radar","gitCommit":"aa78629a63b2fa68079a52d7e71e3e5ef5af2063","id":"33e8121d2139fc1ba2a217e0","isPublic":true,"itemType":"PLUGIN","name":"AI Visibility Market Radar","pluginDir":"33e8121d2139fc1ba2a217e0","repositoryID":"repo_b9ace5bbb1cb3dc7f7c0d09c","status":"active","updatedAt":1787248720997,"updatedBy":{"userId":"6a8739150247be9d2eb27b","userName":"Chris Lee"},"version":3},"ownerMemberId":"6a8739150247be9d2eb27b","ownerName":"Chris Lee","publicPlugins":{"PLUGIN":{"pluginItemId":"33e8121d2139fc1ba2a217e0","pluginDir":"33e8121d2139fc1ba2a217e0","bundleHash":"7076bf60d0ec2348","live":true}},"subtree":[{"activeCommit":"aa78629a63b2fa68079a52d7e71e3e5ef5af2063","apis":{"routes":[],"types":{}},"backendSchedules":null,"bundleHash":"7076bf60d0ec2348","createdAt":1787248329575,"displayName":"AI Visibility Market Radar","gitCommit":"aa78629a63b2fa68079a52d7e71e3e5ef5af2063","id":"33e8121d2139fc1ba2a217e0","isPublic":true,"itemType":"PLUGIN","name":"AI Visibility Market Radar","pluginDir":"33e8121d2139fc1ba2a217e0","repositoryID":"repo_b9ace5bbb1cb3dc7f7c0d09c","status":"active","updatedAt":1787248720997,"updatedBy":{"userId":"6a8739150247be9d2eb27b","userName":"Chris Lee"},"version":3},{"createdAt":1787248385707,"id":"3788e351f2c2080b651a0848","itemType":"AIVIS_SOLUTION_FOLDER","name":"Solutions","originPluginDir":"33e8121d2139fc1ba2a217e0","originPluginID":"33e8121d2139fc1ba2a217e0","parents":{"aivis":1787248385807},"updatedAt":1787248385707,"updatedBy":{"agentId":"ceo","agentName":"CEO","userId":"6a8739150247be9d2eb27b","userName":"Chris Lee"},"version":1},{"capabilities":"Cross-engine + cross-vertical ground-truth measurement is the core wedge (0% citation overlap across ChatGPT, Gemini, Perplexity, Copilot, Claude condemns single-engine GEO scores as systematically misleading; unified cross-engine model avoids the per-engine architecture trap). Real-user-data attribution (fragment-based #:~:text segmentation; counts AI Overviews/AI Mode as a channel; separates surface-share from clicks; values clickless impression exposure). Corroboration-weighted ranking substrate keyed on three inputs: category attribution + third-party corroboration + audience activation (Google Preferred Sources / AI opt-out / Discover AI feed). Publisher ingestion contract via schema.org entities + llms.txt anchored to the ~88% classic-index substrate. Demand-side marketplace priced on measured cross-engine exposure and its conversion value (14.2% vs 2.8% organic ~5x), not an opaque score. Sequencing: cross-engine measure (wedge) → cross-engine + cross-vertical aggregator → routing substrate with audience-activation input → agent-ads marketplace.","category":"Agent Ads \u0026 Ecosystem","createdAt":1787248587585,"ecosystemRole":"platform","id":"19bd91446c31a9d611232dbd","itemType":"AIVIS_SOLUTION","marketPosition":"The independent, neutral cross-engine measurement + routing layer between answer engines and brands. Round-3 refinement: incumbents own distribution (Google/MS AI Max) and now citation control (Preferred Sources, AI opt-out); single-engine GEO tools and vertical scorers (AdvisorFinder) mislead by construction (0% cross-engine overlap) and fragment by vertical — so the open seat is the cross-engine + cross-vertical real-user-data aggregator, armed with a 5x conversion demand-side proof. Monetized via cross-engine measurement subscription, publisher audience-activation enablement, CPM/CPC agent-ads placements on measured exposure, and attribution analytics. Differentiator: owns the only unified cross-engine ground-truth data view plus the neutral routing substrate, rather than an opaque score, a single engine, or raw distribution.","name":"Agent-Ads Platform — Neutral Routing + Trusted Measurement for AI Visibility","originPluginDir":"33e8121d2139fc1ba2a217e0","originPluginID":"33e8121d2139fc1ba2a217e0","parents":{"3788e351f2c2080b651a0848":1787248587785},"positioningScore":8,"updatedAt":1787355736874,"updatedBy":{"agentId":"baf444f54234946b3aab7a28","agentName":"Ecosystem Strategist","userId":"6a8739150247be9d2eb27b","userName":"Chris Lee"},"version":3},{"capabilities":"Tracks AI Overview / AI Mode / answer-engine citation sessions from real user traffic (not synthetic prompts): isolates the #:~:text fragment signal in GA4, counts AI Overviews as a distinct acquisition channel, surfaces winning content formats (structured specifics: prices, travel times, routes, HTML comparison tables), and detects citation decay. 2026 data: 22.4% of AI Overview traffic is misattributed as Direct; AI Overviews = 7.53% of organic. Directly answers the Adweek/IAB critique that GEO-score platforms rely on small synthetic samples below the 50-query threshold. Round-3: the ~5x AI-cited conversion premium (14.2% vs 2.8% organic) and 48% AI Overview penetration make this measurement the ROI-justification layer, while zero cross-engine citation overlap means single-engine dashboards mislead — so real-user-data and cross-engine sampling must be combined. Implementation: set up fragment-based segmentation, attribute AIO as its own channel, feed format/citation insights back into content and machine-readable layers, and layer cross-engine citation sampling on top.","category":"AI Visibility Analytics","createdAt":1787269258567,"ecosystemRole":"enabler","id":"a5c9ade9472cb7880a38311a","itemType":"AIVIS_SOLUTION","marketPosition":"Positioned as the trusted real-user-data measurement alternative to prompted-query GEO dashboards (Semrush, GEO Metrics, Otterly, Profound). Competes with GA4/analytics consultancies more than GEO platforms. Monetized as analytics tooling/subscription. Round-3: its strategic value is reinforced by the 5x AI-cited conversion economics and by multi-engine fragmentation — it is both the ROI-justification layer for AI visibility spend and the verification substrate any agent-ads platform needs.","name":"AI Search Attribution and Measurement — Real-User-Data Visibility Layer","originPluginDir":"33e8121d2139fc1ba2a217e0","originPluginID":"33e8121d2139fc1ba2a217e0","parents":{"3788e351f2c2080b651a0848":1787269258567},"positioningScore":7,"updatedAt":1787355638148,"updatedBy":{"agentId":"bbf322207adb808036d0bfd7","agentName":"Solution Analyst","userId":"6a8739150247be9d2eb27b","userName":"Chris Lee"},"version":2},{"capabilities":"Samples citation share across ChatGPT, Gemini, Perplexity, Copilot and Claude on a canonical query set, and reports aggregate AI visibility plus per-engine variance. Directly answers the 2026-08 practitioner finding of zero citation overlap across five engines (single-engine dashboards are systematically misleading) and Profound's -10.4% citations-per-answer tightening. Optimizes the shared levers that lift across engines: classic-index presence (~88% of citations root here), category attribution, and third-party corroboration. Implementation: build a canonical query set, sample per engine on a schedule, track aggregate citation share + variance as the KPI, treat spread as diagnostic signal, anchor to real-user data where available.","category":"AI Visibility Analytics","createdAt":1787355635066,"ecosystemRole":"enabler","id":"cb5dc7f64c6358b823960623","itemType":"AIVIS_SOLUTION","marketPosition":"The multi-engine measurement layer — positioned against single-engine GEO-score tools (Semrush, GEO Metrics, Otterly, Profound, BrandViz) that mislead at the per-engine level. Competes with analytics consultancies and in-house AEO tooling. Monetized as analytics subscription or SaaS. Differentiator: cross-engine coverage and aggregate visibility truth, not one engine's prompted answers. The verification substrate any agent-ads platform needs.","name":"Cross-Engine Citation Measurement — Multi-Engine AI Visibility Analytics","originPluginDir":"33e8121d2139fc1ba2a217e0","originPluginID":"33e8121d2139fc1ba2a217e0","parents":{"3788e351f2c2080b651a0848":1787355635066},"positioningScore":7,"reviewedAt":1787248645760,"updatedAt":1787355635066,"updatedBy":{"agentId":"bbf322207adb808036d0bfd7","agentName":"Solution Analyst","userId":"6a8739150247be9d2eb27b","userName":"Chris Lee"},"version":1},{"capabilities":"Answer-engine native advertising: AI Max expands search-term matching beyond keyword lists using keywords, ads, landing pages and intent signals (conversational query discovery), auto-generates ad copy (text customization), auto-selects landing pages (URL expansion). Google (Aug 20, 2026) adds multi-campaign budget/ROI A/B tests + brand/location controls + Performance Planner; Microsoft (Aug 19, 2026) global rollout with brand inclusions/exclusions, term exclusions, URL rules, ad-group controls, and Google Ads import continuity (DSA-sourced revert to DSA). Advertisers scale AI-driven Search spend; brand controls are guardrails not placement guarantees.","category":"Agent Ads \u0026 Ecosystem","createdAt":1787269258567,"ecosystemRole":"platform","id":"5ccaed0fb58ddf2b32265c45","itemType":"AIVIS_SOLUTION","marketPosition":"The incumbent platform's paid-distribution arm of AI search — Google and Microsoft defending the monetization layer inside AI answers. Compete directly with (and constrain room for) independent agent-ads networks. No disclosed pricing yet; ROI/bidding models still maturing. Differentiator for incumbents: owns distribution + ad auction; weakness: opaque, small-sample measurement.","name":"AI Search Ads — Google AI Max / Microsoft AI Max Monetization Layer","originPluginDir":"33e8121d2139fc1ba2a217e0","originPluginID":"33e8121d2139fc1ba2a217e0","parents":{"3788e351f2c2080b651a0848":1787269258667},"positioningScore":9,"updatedAt":1787269258567,"updatedBy":{"agentId":"bbf322207adb808036d0bfd7","agentName":"Solution Analyst","userId":"6a8739150247be9d2eb27b","userName":"Chris Lee"},"version":1},{"capabilities":"Vertical AEO measurement for wealth management: scores advisors across ChatGPT, Claude, Google Gemini and Perplexity, produces a Digital Presence Report grading search visibility, website health, online credibility and local presence. Launched Aug 18, 2026. Scopes by geographic location and AI query volume. Signifies GEO/AEO scoring fragmenting by industry — measurement becomes a monetizable vertical product.","category":"AI Visibility Analytics","createdAt":1787269258567,"ecosystemRole":"enabler","id":"11be45c5d69e657a15f6ee47","itemType":"AIVIS_SOLUTION","marketPosition":"Positioned as the AEO answer for financial advisors, tied to a fintech lead-gen platform (AdvisorFinder) with an existing advisor audience — distribution is the moat. From $99/mo. Competes with generic GEO platforms (Semrush, GEO Metrics, Otterly, Profound) and other vertical fintechs adding AI-visibility features. Inherits the synthetic-sample weakness of generic GEO tools but adds vertical relevance.","name":"Vertical AI Visibility Scoring — AdvisorFinder Intelligence for RIAs","originPluginDir":"33e8121d2139fc1ba2a217e0","originPluginID":"33e8121d2139fc1ba2a217e0","parents":{"3788e351f2c2080b651a0848":1787269258767},"positioningScore":5,"updatedAt":1787269258567,"updatedBy":{"agentId":"bbf322207adb808036d0bfd7","agentName":"Solution Analyst","userId":"6a8739150247be9d2eb27b","userName":"Chris Lee"},"version":1},{"createdAt":1787248385707,"id":"a85a06a7a8a0650e960a0e7f","itemType":"AIVIS_FEED_FOLDER","name":"Live Feed","originPluginDir":"33e8121d2139fc1ba2a217e0","originPluginID":"33e8121d2139fc1ba2a217e0","parents":{"aivis":1787248385707},"updatedAt":1787248385707,"updatedBy":{"agentId":"ceo","agentName":"CEO","userId":"6a8739150247be9d2eb27b","userName":"Chris Lee"},"version":1},{"createdAt":1787355447209,"id":"d98e56659a3726a4b92c2f03","itemType":"AIVIS_FEED","name":"AI Overviews now on 48% of searches; AI-cited traffic converts ~5x better than organic","originPluginDir":"33e8121d2139fc1ba2a217e0","originPluginID":"33e8121d2139fc1ba2a217e0","parents":{"a85a06a7a8a0650e960a0e7f":1787355447509},"sourceUrl":"https://www.greenwebmedia.com/how-to-rank-in-google-ai-overviews/","summary":"GreenWebMedia guide (Aug 20): Google AI Overviews appeared on 48% of searches as of April 2026, up from 31% a year prior. AI Overview presence cuts organic CTR 34-61%, but cited brands gain: AI-cited traffic converts at 14.2% vs 2.8% for organic (~5x).","takeaway":"AI Overview penetration keeps climbing - being cited matters more than ranking below them.","updatedAt":1787355447209,"updatedBy":{"agentId":"9032e406dd7ae41036a8a76f","agentName":"Market Scout","userId":"6a8739150247be9d2eb27b","userName":"Chris Lee"},"version":1},{"createdAt":1787355447209,"id":"8b5134cdbf09ce8a212e1282","itemType":"AIVIS_FEED","name":"Google Discover is getting an AI chatbot-tuned feed","originPluginDir":"33e8121d2139fc1ba2a217e0","originPluginID":"33e8121d2139fc1ba2a217e0","parents":{"a85a06a7a8a0650e960a0e7f":1787355447409},"sourceUrl":"https://www.theverge.com/tech/983088/google-discover-ai-chatbot-feed","summary":"The Verge (Aug 20): Google Discover is gaining an AI chatbot-tuned feed, alongside Preferred Sources updates spanning Top Stories, AI Overviews and Discover. Users can personalize AI-surfaced content via Gemini using natural language.","takeaway":"AI personalization is spreading beyond search into content discovery - user surfacing control is the next battleground.","updatedAt":1787355447209,"updatedBy":{"agentId":"9032e406dd7ae41036a8a76f","agentName":"Market Scout","userId":"6a8739150247be9d2eb27b","userName":"Chris Lee"},"version":1},{"createdAt":1787355447209,"id":"58443ff6f8fe06cc088592c0","itemType":"AIVIS_FEED","name":"Google adds Preferred Sources button; sites can opt out of AI Overviews without losing rankings","originPluginDir":"33e8121d2139fc1ba2a217e0","originPluginID":"33e8121d2139fc1ba2a217e0","parents":{"a85a06a7a8a0650e960a0e7f":1787355447309},"sourceUrl":"https://www.technology.org/2026/08/21/google-preferred-sources-button-publishers/","summary":"Google added an embeddable Preferred Sources button so publishers' loyal readers can boost their sites in Top Stories, AI Overviews and AI Mode (600k+ sources selected, up from 345k in May). Under UK CMA pressure, Google also lets sites opt out of AI-generated results without forfeiting ordinary rankings.","takeaway":"Google is handing publishers new control levers over AI surfacing - reader loyalty and AI opt-out become visibility variables.","updatedAt":1787355447209,"updatedBy":{"agentId":"9032e406dd7ae41036a8a76f","agentName":"Market Scout","userId":"6a8739150247be9d2eb27b","userName":"Chris Lee"},"version":1},{"createdAt":1787355447209,"id":"206067640b6b4e7303abd1cf","itemType":"AIVIS_FEED","name":"Gravitate: AEO becomes a board-level priority as AI answers displace organic clicks","originPluginDir":"33e8121d2139fc1ba2a217e0","originPluginID":"33e8121d2139fc1ba2a217e0","parents":{"a85a06a7a8a0650e960a0e7f":1787355447209},"sourceUrl":"https://www.prnewswire.com/news-releases/gravitate-publishes-research-series-on-ai-search-visibility-as-answer-engine-optimization-becomes-a-board-level-priority-302857476.html","summary":"Gravitate published four research guides (Aug 21) on AI readability, LLM SEO, budget reallocation and daily AI methods. Ahrefs: AI Overview cuts top-rank clicks 58% (up from 34.5% 8 months ago). Semrush: 83% of AIO searches are clickless; AI-referred visitors convert 4.4x. Forrester: 94% of B2B buyers use AI; 69% of B2B marketers call AI visibility a top CEO priority.","takeaway":"AEO has moved from tactic to board-level priority - measurement and attribution are now strategic, not optional.","updatedAt":1787355447209,"updatedBy":{"agentId":"9032e406dd7ae41036a8a76f","agentName":"Market Scout","userId":"6a8739150247be9d2eb27b","userName":"Chris Lee"},"version":1},{"createdAt":1787355447209,"id":"f4b29717dbd44851a188084a","itemType":"AIVIS_FEED","name":"Practitioner test: 5 AI engines produced zero citation overlap on the same sites","originPluginDir":"33e8121d2139fc1ba2a217e0","originPluginID":"33e8121d2139fc1ba2a217e0","parents":{"a85a06a7a8a0650e960a0e7f":1787355447709},"sourceUrl":"https://dev.to/dannwaneri/i-tested-5-ai-engines-on-my-own-sites-none-agreed-4013","summary":"Dev.to practitioner test (Aug 19) ran Claude, ChatGPT, Gemini, Perplexity and Copilot against the same queries: zero citation overlap - each site was picked up by only one engine at most. AI visibility is highly fragmented across engines.","takeaway":"Multi-engine measurement is now mandatory - single-engine visibility data is misleading.","updatedAt":1787355447209,"updatedBy":{"agentId":"9032e406dd7ae41036a8a76f","agentName":"Market Scout","userId":"6a8739150247be9d2eb27b","userName":"Chris Lee"},"version":1},{"createdAt":1787355447209,"id":"240864993dc533f77060a7e7","itemType":"AIVIS_FEED","name":"S99 PR launches Signal Press Framework: earned media drives AI citations, not rankings","originPluginDir":"33e8121d2139fc1ba2a217e0","originPluginID":"33e8121d2139fc1ba2a217e0","parents":{"a85a06a7a8a0650e960a0e7f":1787355447609},"sourceUrl":"https://markets.businessinsider.com/news/currencies/s99-pr-announces-signal-press-framework-as-ai-search-reshapes-brand-discoverability-1036482372","summary":"S99 PR's Signal Press Framework (Aug 21) targets AEO through sustained third-party media coverage. Research cited: ~84% of AI citations come from earned media; press-release coverage can lift citations 239% (median); the correlation between Google ranking and AI visibility is only 0.034.","takeaway":"Third-party corroboration - not rank - is the growing decisive lever for AI citations.","updatedAt":1787355447209,"updatedBy":{"agentId":"9032e406dd7ae41036a8a76f","agentName":"Market Scout","userId":"6a8739150247be9d2eb27b","userName":"Chris Lee"},"version":1},{"createdAt":1787269043565,"id":"0dd04dd976bfd2e50a2fe48f","itemType":"AIVIS_FEED","name":"9 months of AI Overview data, 51,000+ events: 22.4% misattributed as Direct","originPluginDir":"33e8121d2139fc1ba2a217e0","originPluginID":"33e8121d2139fc1ba2a217e0","parents":{"a85a06a7a8a0650e960a0e7f":1787269043565},"sourceUrl":"https://searchengineland.com/ai-overview-data-51000-tracked-events-485080","summary":"Alex Galinos analyzed 9 months of Google AI Overview data for a transportation brand: 51,200 tracked events across 1,661 cited snippets. AI Overviews = 7.53% of organic traffic; 22.4% of AIO events are misattributed as Direct in analytics. Google favors specific, structured content (prices, travel times, routes, HTML comparison tables); stale-content citations decay over time. Published via Search Engine Land Aug 19, corroborated by tldr.tech marketing newsletter and Search Engine Roundtable.","takeaway":"Attribution gaps hide real AI-search performance — 22.4% of AI Overview traffic is misreported as Direct, so track #:~:text= signals in GA4.","updatedAt":1787269043565,"updatedBy":{"agentId":"9032e406dd7ae41036a8a76f","agentName":"Market Scout","userId":"6a8739150247be9d2eb27b","userName":"Chris Lee"},"version":1},{"createdAt":1787269043565,"id":"0db7faccf60936f9c14e5e12","itemType":"AIVIS_FEED","name":"AdvisorFinder launches AI visibility measurement tool for RIAs","originPluginDir":"33e8121d2139fc1ba2a217e0","originPluginID":"33e8121d2139fc1ba2a217e0","parents":{"a85a06a7a8a0650e960a0e7f":1787269043665},"sourceUrl":"https://www.investmentnews.com/transformation/advisorfinder-launches-ai-visibility-measurement-tool-for-rias/267872","summary":"Fintech AdvisorFinder launched AdvisorFinder Intelligence (Aug 18, per InvestmentNews), which scores how financial advisors appear across ChatGPT, Claude, Google Gemini and Perplexity and produces a Digital Presence Report grading search visibility, website health, online credibility and local presence.","takeaway":"AI-visibility scoring is going vertical — RIAs are now scored across ChatGPT, Claude, Gemini and Perplexity, signaling a niche tool market.","updatedAt":1787269043565,"updatedBy":{"agentId":"9032e406dd7ae41036a8a76f","agentName":"Market Scout","userId":"6a8739150247be9d2eb27b","userName":"Chris Lee"},"version":1},{"createdAt":1787269043565,"id":"d08900eb5e45db32a0a2a8b4","itemType":"AIVIS_FEED","name":"Google adds new AI Max testing and planning tools for Search campaigns","originPluginDir":"33e8121d2139fc1ba2a217e0","originPluginID":"33e8121d2139fc1ba2a217e0","parents":{"a85a06a7a8a0650e960a0e7f":1787269043765},"sourceUrl":"https://blog.google/products/ads-commerce/ai-max-testing-planning-tools/","summary":"Google (Ads \u0026 Commerce Blog, Aug 20) expanded AI Max with new testing and planning tools: A/B tests and performance planners for budget and bidding changes, helping advertisers scale Search campaigns. Corroborated by MediaPost and Search Engine Land.","takeaway":"Google's AI search-ad layer is maturing — AI Max A/B tests and planners let advertisers scale AI-driven Search spend.","updatedAt":1787269043565,"updatedBy":{"agentId":"9032e406dd7ae41036a8a76f","agentName":"Market Scout","userId":"6a8739150247be9d2eb27b","userName":"Chris Lee"},"version":1},{"createdAt":1787269043565,"id":"522e76b34a2b2fbef659c0d1","itemType":"AIVIS_FEED","name":"Microsoft Advertising rolls out AI Max globally","originPluginDir":"33e8121d2139fc1ba2a217e0","originPluginID":"33e8121d2139fc1ba2a217e0","parents":{"a85a06a7a8a0650e960a0e7f":1787269043865},"sourceUrl":"https://www.searchenginejournal.com/microsoft-advertising-rolls-out-ai-max-globally/586459/","summary":"Microsoft Advertising rolled out AI Max globally (Aug 19), bringing expanded Search matching, text customization, URL expansion and new advertiser controls — a direct counterpart to Google's AI Max and AI-powered search ads.","takeaway":"The AI search-ads arms race accelerates — Microsoft's AI Max is now global, mirroring Google's AI Max rollout.","updatedAt":1787269043565,"updatedBy":{"agentId":"9032e406dd7ae41036a8a76f","agentName":"Market Scout","userId":"6a8739150247be9d2eb27b","userName":"Chris Lee"},"version":1},{"createdAt":1787248399304,"id":"8fded8320f7a6674851c8938","itemType":"AIVIS_FEED","name":"AI SEO roundup: ChatGPT Atlas shut down, Bing tests full-URL display","originPluginDir":"33e8121d2139fc1ba2a217e0","originPluginID":"33e8121d2139fc1ba2a217e0","parents":{"a85a06a7a8a0650e960a0e7f":1787248399804},"sourceUrl":"https://www.position.digital/blog/ai-seo-news/","summary":"OpenAI shut down the ChatGPT Atlas browser (\u003c10 months after launch); Bing is testing full-URL display in Copilot search - a transparency contrast to Google.","takeaway":"Platform transparency and product churn are accelerating in AI search.","updatedAt":1787248399304,"updatedBy":{"agentId":"ceo","agentName":"CEO","userId":"6a8739150247be9d2eb27b","userName":"Chris Lee"},"version":1},{"createdAt":1787248399304,"id":"a235696b2a914e9b427deb0c","itemType":"AIVIS_FEED","name":"Google releases August 2026 Spam Update targeting scaled content abuse","originPluginDir":"33e8121d2139fc1ba2a217e0","originPluginID":"33e8121d2139fc1ba2a217e0","parents":{"a85a06a7a8a0650e960a0e7f":1787248399704},"sourceUrl":"https://keywordseverywhere.com/news/google-algorithm-updates/august-2026-spam-update/","summary":"Google's August 2026 Spam Update (Aug 18) is global and all-languages, targeting scaled-content abuse; since May 2026 spam policies cover manipulating AI Overviews / AI Mode.","takeaway":"Spam policies now cover manipulating AI Overviews / AI Mode - content quality gates tighten.","updatedAt":1787248399304,"updatedBy":{"agentId":"ceo","agentName":"CEO","userId":"6a8739150247be9d2eb27b","userName":"Chris Lee"},"version":1},{"createdAt":1787248399304,"id":"28d98508fce916947a952a24","itemType":"AIVIS_FEED","name":"Adweek: GEO scores are not the solution - build AI-native infrastructure","originPluginDir":"33e8121d2139fc1ba2a217e0","originPluginID":"33e8121d2139fc1ba2a217e0","parents":{"a85a06a7a8a0650e960a0e7f":1787248399604},"sourceUrl":"https://www.adweek.com/media/why-geo-scores-arent-the-solution-to-your-brands-ai-engine-visibility/","summary":"Adweek (Aug 17) argues GEO-score platforms rely on synthetic, small-sample queries below IAB's 50-query threshold and produce contradictory results across tools; recommends AI-native infrastructure over chasing opaque scores.","takeaway":"Invest in intent-adaptive surfaces + machine-readable data layers, not opaque GEO scores.","updatedAt":1787248399304,"updatedBy":{"agentId":"ceo","agentName":"CEO","userId":"6a8739150247be9d2eb27b","userName":"Chris Lee"},"version":1},{"createdAt":1787248399304,"id":"f16c0873e8afeba0be0d5721","itemType":"AIVIS_FEED","name":"Fractl AI Visibility Index: 471 blue chips under-exposed in AI answers","originPluginDir":"33e8121d2139fc1ba2a217e0","originPluginID":"33e8121d2139fc1ba2a217e0","parents":{"a85a06a7a8a0650e960a0e7f":1787248399504},"sourceUrl":"https://www.marketscale.com/industries/marketing-tech/fractls-ai-visibility-index-shows-9-in-10-brands-track-seo-strength-but-471-blue-chips-still-vanish-in-ai-answers","summary":"Reported via Search Engine Land / MarketScale (Aug 17-20): ~5% of brands with strong SEO are under-exposed in LLM answers while 377 over-perform; root causes are category-attribution gaps and a weak third-party corroboration layer. Travel concentrated (Booking/Airbnb/Expedia ~20% of mentions); HealthTech winner-take-all.","takeaway":"Category attribution and third-party corroboration are the new decisive levers.","updatedAt":1787248399304,"updatedBy":{"agentId":"ceo","agentName":"CEO","userId":"6a8739150247be9d2eb27b","userName":"Chris Lee"},"version":1},{"createdAt":1787248399304,"id":"31a176b84e3aeb7da6588f14","itemType":"AIVIS_FEED","name":"Profound Index Summer 2026: ChatGPT update cut citations per answer 10.4%","originPluginDir":"33e8121d2139fc1ba2a217e0","originPluginID":"33e8121d2139fc1ba2a217e0","parents":{"a85a06a7a8a0650e960a0e7f":1787248399404},"sourceUrl":"https://www.tryprofound.com/reports-guides/profound-index-report-summer-2026","summary":"Built on 1.9B+ conversations (Aug 19): June ChatGPT update cut citations-per-answer 10.4% and shrank unique cited domains in 56/58 industries, yet 9/10 leaders held rank. US #1 does not predict European visibility (24/30 industries). Movers: Oasis Security +99.9%, Gorgias 19th to 6th, HubSpot top overall.","takeaway":"Citation supply shrank but 9/10 leaders held position - leadership compounds.","updatedAt":1787248399304,"updatedBy":{"agentId":"ceo","agentName":"CEO","userId":"6a8739150247be9d2eb27b","userName":"Chris Lee"},"version":1},{"createdAt":1787248399304,"id":"0f5fac62b7c732bab9b65730","itemType":"AIVIS_FEED","name":"Ahrefs/SPA: ~88% of AI citations come from the classic search index","originPluginDir":"33e8121d2139fc1ba2a217e0","originPluginID":"33e8121d2139fc1ba2a217e0","parents":{"a85a06a7a8a0650e960a0e7f":1787248399304},"sourceUrl":"https://www.searchenginejournal.com/ai-search-myths-debunked-ahrefs-spa/584393/","summary":"15M-point study (Search Engine Journal, Aug 18): ~88% of AI citations still come from the classic index; only ~38% of cited URLs also rank top-10; schema markup showed no citation uplift; ~97% of llms.txt files were never read.","takeaway":"Classic SEO is still the base layer for AI visibility - rankings still matter.","updatedAt":1787248399304,"updatedBy":{"agentId":"ceo","agentName":"CEO","userId":"6a8739150247be9d2eb27b","userName":"Chris Lee"},"version":1}]}