Five significant changes to how AI search works landed in June 202, and they came simultaneously from Google, Microsoft, and the organic results layer beneath both. Google shipped its first dedicated AI visibility reporting inside Search Console, introduced a publisher opt-out toggle for AI Overviews and AI Mode, launched Search Profiles for creators, and Microsoft expanded Bing Webmaster Tools with four new AI citation analytics. Alongside those platform changes, the May 2026 Google core update reshaped the organic results page in ways that directly affect AI visibility strategy.
This article covers every June 2026 update, what each one actually does, what remains missing, and what the combined picture means for B2B marketing teams managing Answer Engine Optimisation (AEO) and AI search visibility in the second half of 2026.
Eightlab tracks brand presence and citation share across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews, and delivers an action plan for AI improvement. Everything in this article connects back to the question every B2B marketing team should be asking right now: where does your brand appear when AI answers the questions your buyers are asking?
What did Google launch in Search Console for AI visibility in June 2026?
On June 3, 2026, Google launched dedicated Search Generative AI performance reports inside Search Console, the first time any AI search visibility data has been separated from the standard performance report into a standalone section. The reports cover AI Overviews, AI Mode, and generative AI features in Google Discover.
Before this update, AI impressions were included in your aggregate "Web" performance numbers, but there was no way to isolate them. The new Search Console reports are designed to give dedicated views of impressions within generative AI features on Search, such as AI Overviews and AI Mode, as well as generative AI features in Discover.
What the report shows
The report gives five dimensions of visibility data:
- Impressions: how often your URLs appeared inside AI Overviews, AI Mode, or generative Discover features
- Pages: which specific URLs are surfacing in AI results
- Countries: geographic breakdown of AI visibility
- Devices: desktop vs. mobile (available for Search results, not Discover)
- Dates: hourly, daily, weekly, and monthly granularity
The reports show impressions only, broken down by page, country, device, and date (hourly to monthly). There's no click, CTR, or query data yet, so you can see visibility but not its traffic value.
What it is missing and why that matters
The critical omission is click data. You can see that your content is being cited inside AI answers, but you cannot see how many users clicked through as a result. There is also no query-level data, you cannot see which specific questions are triggering your AI impressions.
The report shows what, not why. High AI impressions and high organic clicks on the same page is the signal for non-commodity content, the pages working hardest in both worlds and least replaceable by a generated summary.
A second technical limitation affects teams who pull Search Console data programmatically: as of late June 2026, the generative AI data is not accessible through the Search Console API. The searchanalytics.query endpoint has not yet been updated with an aiOverview or aiMode type. The report lives entirely in the Search Console UI. Dashboards and BigQuery pipelines cannot yet incorporate AI impression data.
Who has access
As of June 2026, it is rolling out to a subset of website owners based in the UK. Google plans to expand access globally, but no specific date has been announced. The phased rollout is tied in part to pressure from the UK's Competition and Markets Authority. There is no opt-in process, access appears automatically inside the Performance section once your property is included.
The AEO and AI marketing implication
This is the first time AI Overviews and AI Mode impressions have become a first-party, in-Search-Console metric. For B2B marketing teams tracking AEO performance, this creates a new primary KPI: AI impression share, tracked by page and by country, separate from traditional click-through and ranking data.
The right way to read impressions-only data is as a resonance signal. A page that earns high AI impressions is content the AI model finds worth citing. Cross-reference that against the organic clicks the same URL earns in the standard Performance report: pages earning both AI impressions and organic clicks are the non-commodity assets in your content library, the ones least replaceable by a synthesised AI answer.
For pages earning high AI impressions but low organic clicks, the implication is different. The AI is consuming your content without sending traffic. Those pages deserve analysis: are they answering queries so completely that users never need to click? Are they being cited in a context that doesn't prompt clickthrough? Understanding that distinction is the emerging discipline of AEO measurement, and the new Search Console reports make that analysis possible for the first time.
What is the new Google Search Console AI content control toggle?
Alongside the AI performance reports, Google introduced a new control that lets site owners decide whether their content appears in Google's generative AI search features. Announced and launched on June 3, 2026, this toggle operates at the property level within Search Console.
The toggle covers three surfaces: AI Overviews, AI Mode, and generative AI features in Discover. Opting out carries no organic ranking penalty. Google confirmed the opt-out setting will not be used as a ranking signal for regular Search. Sites that opt out keep appearing normally in Search results and the Discover feed, only AI Overviews, AI Mode, and AI Overviews in Discover are affected.
How the toggle differs from existing controls
Before this toggle, site owners had two imperfect mechanisms to limit AI feature appearances:
- Google-Extended: blocks AI model training but does not block AI Overviews from using content in live responses
- nosnippet meta directive: blocks AI features but also removes the organic snippet from standard search results, creating an unacceptable trade-off for most publishers
The new GSC toggle is the first control that blocks AI features with no organic-snippet tradeoff. It is a purpose-built instrument that did not previously exist.
Should B2B marketers use the opt-out?
For most B2B brands, the answer is no. Opting out of AI Overviews and AI Mode removes your brand from the surfaces where discovery increasingly happens. For a brand trying to build AI visibility, removing itself from AI answers defeats the primary goal.
The opt-out has specific use cases: publishers who generate revenue primarily from page visits and have strong evidence that AI impressions are consuming clicks without replacement; brands in regulated categories who need precise control over how their content is summarised; and publishers who have determined that the traffic trade-off favours the traditional organic channel.
For B2B SaaS marketing teams whose primary goal is being cited when buyers ask AI engines about their category, opting out is counterproductive. The correct response to AI impressions is to optimise for them, not remove them.
The AEO and AI marketing implication
The toggle matters for a different reason than most coverage has emphasised. Its existence signals that Google now treats AI Overviews and AI Mode as distinct traffic channels with measurable, opt-outable characteristics. That is an acknowledgement that these surfaces are pulling a meaningful and separable share of search activity.
For Eightlab users, the combination of the new reporting and the toggle makes it possible to construct a before/after experiment at the site level, opting out, measuring the change in organic clicks, and quantifying exactly what AI impression traffic is worth. That is a new form of measurement that did not exist before June 3, 2026.
What did Microsoft add to Bing Webmaster Tools in June 2026?
On June 16, 2026, Microsoft expanded the AI Performance Report in Bing Webmaster Tools with four new capabilities, all available in preview globally: Citation Share, Intents, Topics, and Compare.
The original AI Performance Report, launched in February 2026, showed publishers how often their content was cited in AI-generated answers across Microsoft Copilot, Bing AI summaries, and select partner integrations, raw citation counts and the grounding queries associated with them. These new capabilities build on that foundation by helping publishers better understand why their content is being surfaced, which broader subject areas they are gaining visibility in, how their presence evolves relative to other cited sources, and how citation patterns change over time.
Citation Share
Citation Share is the most significant new metric in the update. Citation Share shows your site's percentage of all citations for a specific grounding query. For example, if your website got 3 out of 10 citations in relation to a grounding query, then your Citation Share would be 30%.
This is a competitive-context metric: it shows not just how often you are cited, but what proportion of total citation activity you capture for a given query. For AEO and GEO practitioners, Citation Share functions as the AI-search equivalent of organic click share, the metric that tells you whether your investment in content and off-site authority is translating into actual citation dominance for the queries that matter.
Citation Share is an observational metric and does not include competitor domains or show traffic shares. This means it is used to track a publisher's citation performance without exposing competition data.
Intents
Intents classifies grounding queries into categories like Informational, Commercial, and Research, among others. Instead of working through individual queries, you can see which types of AI interactions are citing your content.
The full category set includes Informational, Commercial, Navigational, Learn and Solve, Research, Creation, and Local. For B2B marketing teams, the Intents breakdown reveals the purchase-stage distribution of their AI citations. A brand discovering that most of its Bing AI citations come from Informational queries is reaching early-stage researchers but not buyers in evaluation mode. A brand whose citations skew toward Commercial and Comparative queries is appearing at the moment of purchase consideration. Both are valuable signals, but they demand different strategic responses.
Topics
Topics groups related queries into thematic clusters. Queries like "solar panels," "solar energy efficiency," and "residential solar installation" would roll up under a broader topic label.
This feature reflects how AI systems actually organise information, not by keyword but by topic and meaning. Microsoft building an entire reporting feature around topic clusters is the platform publicly confirming that the old keyword-based model of search measurement does not match how AI search engines retrieve information. For content strategy, this means topical authority, owning a theme cluster broadly rather than chasing individual keyword rankings, is now the measurable unit of AI visibility.
Compare
Compare lets you overlay a previous time period on the current view, so you can see how citation activity has changed. You can compare the current 30 days against the prior 30 or pick custom date ranges. Historical data extends retroactively to May 1, 2026, giving publishers six weeks of baseline data from launch. One feature previewed at SEO Week is notably absent from this rollout: GEO-focused recommendations (crawlability, structured data, and indexing guidance) have not yet been included. Microsoft has not confirmed a timeline for that addition.
The AEO and AI marketing implication
Microsoft's approach to AI visibility reporting is meaningfully more advanced than Google's at this stage. Bing's AI Performance Report launched in February 2026, four months before Google's equivalent. The June update adds competitive-context (Citation Share), intent classification, thematic clustering, and period-over-period comparison. Google's equivalent currently provides impressions, pages, countries, devices, and dates, with no query context, no intent classification, and no competitive framing.
For B2B marketers tracking AI visibility, this creates a practical argument for treating Bing Webmaster Tools as a primary measurement source rather than a secondary one. The data covers Copilot and Bing's AI features specifically, not ChatGPT, Google, or Perplexity, but the analytical sophistication of what it shows is the most complete AI citation reporting available through any first-party platform as of June 2026.
Brands that have not yet verified their site in Bing Webmaster Tools are missing six weeks of retroactive citation data. The setup is free and takes under five minutes.
What are Google Search Profiles and why do they matter for publishers?
On June 4–5, 2026, Google launched Search Profiles in the US, a claimable, shareable landing page for publishers and creators that aggregates their content from across the web into a single Google-hosted profile. Search profiles give publishers and creators a central place to showcase their latest articles, videos and social posts. People can easily follow sources from their profile, so they're more likely to see that content on Discover, found on the home screen of the Google app.
The profile is accessible three ways on mobile: through a creator or publisher's Knowledge Panel in search results, by tapping their name on Discover, or via a direct URL at profile.google.com. Claiming a profile can also trigger the creation of a Knowledge Panel for publishers who do not already have one.
Eligibility requirements
Search profiles let eligible users showcase articles, videos, social posts, and website links in one place. Publishers and creators with at least 300,000 followers on TikTok, or 100,000 on YouTube, Instagram, or X are currently eligible. The rollout is currently US-only, with global expansion planned.
Why Google built this now
The move comes after Google's AI summaries in search results have decimated click-through rates for online publishers. An analysis released last fall by digital marketing agency Seer Interactive found that when an AI Overview is present in Google search results, organic click-through rates dropped 61% between June 2024 and September 2025.
Search Profiles are Google's response to that traffic erosion. By giving publishers a way to build a following inside Google's own ecosystem, and surfacing their content in Discover based on that following, Google is creating an alternate distribution mechanism that bypasses the traditional blue-link click entirely. A publisher who converts readers into Google followers does not need to win individual search queries. Their content shows up in Discover automatically.
The strategic logic is that Discover operates on interest signals rather than search intent. A user who follows a publisher in Search Profiles will see that publisher's content in their Discover feed without ever searching for it. This is a fundamentally different distribution mechanism from organic search, and it creates a new engagement surface that functions more like an RSS feed or a newsletter inside Google's app.
The AEO and AI marketing implication
For B2B content teams, Search Profiles introduce a new entity signal. When a publisher or creator has a verified Search Profile linked to a Knowledge Panel, Google's AI systems have a richer, more structured representation of that entity. The profile provides consistent identity data, avatar, bio, website, connected social accounts, that reduces the entity ambiguity AI models struggle with when describing brands and individuals.
This matters for AEO because entity clarity is one of the core mechanisms driving AI citation. An entity that AI models can resolve clearly and consistently across sources is more likely to be cited confidently. A Search Profile is Google's first-party confirmation that your entity is who you say you are.
For founders and practitioners publishing on LinkedIn, the parallel is instructive. LinkedIn's rise as the #1 AI citation source for B2B professional queries in 2026 is driven by the same mechanism: named individuals with verified credentials, publishing original content on a high-authority platform, building a clear and consistent entity signal. Google's Search Profiles create a similar dynamic inside Google's own ecosystem.
The key action for eligible B2B brands and their content leads is to claim their Search Profile now, before competitors do, and ensure the linked accounts, bio, and content feed accurately reflect the brand's positioning.
What happened to Google search results after the May 2026 core update?
The May 2026 Google core update completed rollout in late May and its effect on the organic results landscape has been analysed extensively since. The dominant pattern in the post-update data has direct implications for both traditional SEO and AI visibility strategy.
Reddit's share of the TOP 3 positions rose to 10.24% after May, up from 8.56% after March and 9.19% after December. This means that more than one in ten now belongs to Reddit. The number of keywords where Reddit holds the top result rose from 8,993 after March to 13,872 after May, a 54% jump. This gain appeared across all 20 niches in SE Ranking's analysis of approximately 100,000 keywords, a signal that the update was broad rather than niche-specific.
YouTube moved in the opposite direction. YouTube's top 3 organic share dropped to 2.14% after May, down from 2.50% after March and 2.40% after December. Data indicates that YouTube results may be appearing more often in video SERP features and less often in regular organic positions.
Which categories saw the biggest Reddit gains
The update did not reward Reddit uniformly. Experience-led categories saw the largest shifts. Pets now has Reddit holding 18% of top-3 positions. Career and Jobs sits near 17%. Business reached 12.17%. Technology rose from 4.77% to 7.03%, a significant move in a category that B2B SaaS marketers have long considered protected by gated content and technical authority.
Roughly 1 in 5 top 10 pages dropped out after the May update. 19.87% of pages that ranked in the TOP 10 before the update vanished from the TOP 100. Only 32.20% of the domains hit in March recovered by May.
What is driving Reddit's sustained rise
The mechanism behind Reddit's SERP dominance is the same mechanism that drives its disproportionate share of AI citations: authentic peer-generated content that carries genuine trust signals. In an environment saturated with AI-generated content, Google's systems are increasingly sorting by query type — reaching for Reddit when users want honest human experience, and reaching for authority sites when queries demand precision or technical accuracy.
The structural advantages Reddit holds are reinforced by Google's data partnership: Google signed a $60 million per year agreement with Reddit in early 2024, giving it faster indexing, deeper comment crawling, and prioritised access to community discussion data for AI training. Fresh Reddit threads can now appear in search results within hours of posting.
The AEO and AI marketing implication
Reddit's growing dominance in Google's organic results directly amplifies Reddit's share of AI citations. Wikipedia and Reddit remain the most frequently cited domains in AI Overviews and AI Mode, primarily due to their high information density and structured community discussions.
For B2B marketing teams, this creates a compounding dynamic. A brand mentioned in a Reddit thread that ranks in Google's top 3 for a category query is benefiting from:
- Organic visibility for the query through the Reddit result
- A high-probability AI citation when the same query is asked in AI Overviews or AI Mode
- A training signal that reinforces the brand's association with that category in AI model parameters
The strategic implication is that B2B brands need a Reddit presence strategy that is community-first rather than promotional. The most effective approach is having authentic discussions that mention your brand appear in the subreddits where your buyers actually participate, not posting promotional content that moderators remove.
For brands currently tracking their AI visibility, the May 2026 core update means that the third-party source most likely to drive AI citations has just become more dominant in the underlying organic results layer that feeds those AI responses. Reddit strategy and AEO strategy are now more tightly coupled than they have ever been.
What do the June 2026 updates mean together for B2B AI marketing strategy?
The five developments that landed in June 2026, Google's AI performance reports, the AI content toggle, Bing's expanded citation analytics, Google Search Profiles, and Reddit's continued SERP gains, are not independent events. They reflect a consistent directional shift in how AI search is being measured, managed, and fed.
AI visibility is now a measurable first-party metric
For two years, the core frustration in AEO practice has been that AI search visibility was inferential. You could run prompts manually across platforms and log what appeared. You could use third-party tracking tools. But there was no first-party data. That changed in June 2026.
Google now provides AI impression data in Search Console, separated from traditional organic metrics. Bing provides AI citation counts, Citation Share, Intent classification, and topic clustering in Bing Webmaster Tools. The era of estimating AI visibility is giving way to the era of measuring it.
For B2B marketing teams, this means AI visibility reporting needs to enter the weekly marketing dashboard alongside organic traffic, paid performance, and email metrics. The question "are we appearing in AI search?" now has a data answer, not just an anecdotal one.
Citation share is the new share of voice
Bing's Citation Share metric formalises a concept that has been central to AEO practice since the category emerged: what proportion of AI-generated answers in your category mention your brand? Citation share is the AI-search equivalent of share of voice in traditional media, the metric that determines whether your content investment is translating into category presence or just filling a publication calendar.
For B2B brands with multiple competitors in their category, Citation Share makes the competitive dynamic visible. If your category generates 100 AI citations for a key topic query and your brand captures 12 of them while a competitor captures 34, that gap is now measurable and trackable over time. Closing that gap is the operational definition of winning AEO.
Owned content still establishes authority, off-site content still drives discovery
The June 2026 updates confirm a structural pattern that Eightlab's audit data has shown consistently: AI search visibility requires both a strong owned content foundation and consistent off-site presence in the sources AI engines trust. Neither is sufficient alone.
The new Google Search Console reports show which owned pages are being surfaced in AI results. Bing's Intents and Topics features show which thematic areas your content is gaining citation share in. Reddit's continued dominance in both organic results and AI citations confirms that community-generated third-party content remains the highest-volume citation source for discovery queries.
The implication for B2B content strategy is that the distinction between "owned content" and "earned content" has become a false binary. Both need to be actively managed, measured, and optimised. A brand with excellent owned content but no off-site presence will score well in verification-stage AI queries and badly in discovery-stage AI queries. A brand with strong off-site presence but poorly structured owned content will be cited frequently but described inconsistently, the entity clarity problem that reduces citation quality even when citation volume is high.
What to do with these updates this week
The actionable sequence for a B2B marketing team responding to the June 2026 updates:
Bing Webmaster Tools:
Verify your site immediately if you have not done so. Data is already accumulating. Six weeks of retroactive citation data is available from May 1, 2026. Export your grounding queries, study the Intents breakdown, and identify which content themes your AI citations are concentrated in.
Google Search Console:
Check whether you have access to the Generative AI performance section. If you do, pull your first 90-day AI impression report. Segment by page to see which content is already earning AI citation. Cross-reference against organic performance to identify your non-commodity pages.
Google Search Profiles:
Check eligibility. If your brand's content lead or founder meets the follower thresholds on LinkedIn, Instagram, YouTube, or X, claim the profile immediately and link all relevant accounts. This creates a first-party entity signal inside Google's own systems — directly relevant to AI Overviews performance.
Reddit strategy:
Run a Reddit gap analysis on your top 20 category keywords. Pull the SERPs and note which queries have Reddit threads in the top 3. Those threads are the third-party sources most likely to drive AI citations for those queries. Identify the subreddits active for your category and begin building authentic community presence, not promotional posting, but genuine participation that creates the kind of content Google and AI engines both reward.
Key Takeaways: AI SEO News June 2026
- Google launched dedicated Search Generative AI performance reports in Search Console on June 3, 2026, showing AI Overviews and AI Mode impressions broken down by page, country, device, and date. Click data and query data are not yet available. Rollout began with UK site owners.
- Google simultaneously introduced a property-level toggle letting site owners opt out of AI Overviews, AI Mode, and Discover AI features without affecting organic search rankings — the first clean AI-specific content control that carries no organic snippet penalty.
- Microsoft launched Citation Share, Intents, Topics, and Compare in Bing Webmaster Tools' AI Performance Report on June 16, 2026, adding competitive-context measurement (Citation Share), intent classification across categories including Informational and Commercial, thematic topic clustering, and period-over-period comparison. Historical data is retroactive to May 1, 2026.
- Google launched Search Profiles on June 4–5, 2026 — claimable landing pages for publishers and creators in the US that aggregate content across platforms, enable Discover following, and create stronger entity signals inside Google's systems. Eligibility requires 100,000+ followers on Instagram, YouTube, or X, or 300,000+ on TikTok.
- After the May 2026 Google core update, Reddit holds 10.24% of top-3 positions — 1 in 10 Google top results — with the number of keywords where Reddit ranks first up 54% versus March. YouTube's top-3 share fell to 2.14%. Reddit's gains were consistent across all 20 niches, including Technology, Business, and Career and Jobs.
- AI visibility is now a first-party measurable metric through both Google Search Console and Bing Webmaster Tools. B2B marketing teams should integrate AI impression data and citation share into weekly performance dashboards alongside traditional organic metrics.
- Reddit's sustained dominance in both organic results and AI citations means Reddit strategy and AEO strategy are more tightly coupled than at any previous point. Community presence in the subreddits where your buyers participate directly feeds both organic SERP visibility and AI citation share.
Frequently Asked Questions About AI SEO News June 2026
What is the Google Search Console Generative AI performance report launched in June 2026?
Google launched dedicated Search Generative AI performance reports on June 3, 2026, creating a standalone section inside Search Console that shows impressions from AI Overviews, AI Mode, and generative AI features in Discover, separated from traditional organic data for the first time. The report shows impressions broken down by page, country, device, and date. Click data, query data, and CTR are not included in the current version. Rollout began with a subset of UK site owners, with global expansion planned.
Can I stop my content from appearing in Google AI Overviews and AI Mode?
Yes. Google introduced a property-level toggle in Search Console on June 3, 2026 that lets site owners remove their content from AI Overviews, AI Mode, and generative Discover features. Opting out does not affect organic ranking in traditional search results, Google confirmed the setting carries no ranking penalty. The toggle is distinct from Google-Extended (which governs model training) and no snippet (which removes organic snippets). For most B2B brands, opting out is not strategically advisable, as it removes the brand from the primary discovery surfaces in AI search.
What is Citation Share in Bing Webmaster Tools?
Citation Share is a new metric added to Bing Webmaster Tools' AI Performance Report on June 16, 2026. It shows what percentage of all AI citations for a specific grounding query your site captures. For example, if your site received 4 out of 20 citations for a query, your Citation Share is 20%. It functions as the AI-search equivalent of share of voice and is the first metric to put brand AI citations in competitive context. Citation Share does not show competitor domains, it is a publisher's own relative citation percentage, not a full competitive intelligence tool.
What are Google Search Profiles and who can claim one?
Google Search Profiles are dedicated, claimable landing pages that aggregate a publisher or creator's content across platforms (articles, videos, and social posts) into a single Google-hosted profile accessible in Search and Discover. Launched in the US on June 4–5, 2026, eligibility requires at least 100,000 followers on YouTube, Instagram, or X, or 300,000 followers on TikTok. Claiming a profile can trigger creation of a Knowledge Panel for publishers who do not already have one and increases the likelihood of content appearing in followers' Discover feeds. The feature has no confirmed timeline for non-US expansion.
What happened to Reddit and YouTube in Google search results after the May 2026 core update?
After the May 2026 core update, SE Ranking's analysis of approximately 100,000 keywords across 20 niches found that Reddit's share of top-3 positions rose to 10.24%, up from 8.56% after March. The number of keywords where Reddit holds the top-1 result jumped 54%, from 8,993 to 13,872. Reddit gained in all 20 niches tracked, with the largest lifts in experience-led categories including Pets, Career and Jobs, Business, and Technology. YouTube's top-3 organic share fell to 2.14%, down from 2.50% after March, likely because YouTube content is appearing more in video SERP features rather than standard organic positions.
How does Bing's Citation Share differ from Google's AI impression reporting?
They measure different things in different ecosystems. Google's Search Console AI report shows raw impressions from AI Overviews and AI Mode, how often your URLs appeared in Google's AI features, broken down by page, country, device, and date. Bing's Citation Share shows the proportion of citations your site captures for a specific grounding query across Copilot and Bing's AI features, a competitive-context metric. Bing's reporting is currently more analytically sophisticated: it adds Intent classification, topic clustering, and period-over-period comparison. Google's reporting covers a larger AI search surface (AI Overviews alone reaches 1.5 billion monthly users) but provides less query and intent context in the current version.
How can Eightlab help me track AI visibility across all these platforms?
Eightlab tracks brand presence and citation share across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews, the five major AI engines where B2B buyers are researching and discovering vendors. Unlike the platform-specific reporting from Search Console (Google only) and Bing Webmaster Tools (Bing/Copilot only), Eightlab provides cross-platform AI visibility data that shows your brand's presence across the full AI search landscape. The Free AI Visibility Audit at eightlab.co takes 90 seconds and shows your AI Visibility Score, your top three competitors in AI search, and the three fastest actions to improve your score before you spend another quarter on content AI engines are not citing.
