The Search Signal

Victorious

The Search Signal is a weekly podcast for marketing leaders navigating what's changing in search. Each week, Victorious founder and CEO Michael Transon takes one thing happening in search, breaks down what it means, and shares what leaders should do about it. Short, focused conversations for people making strategic decisions at the intersection of SEO and AI search. New episodes every week on YouTube, Spotify, and Apple Podcasts.

  1. 2d ago

    Organic Traffic Is Down. Is Your SEO Still Working?

    Organic traffic is down, and leadership wants to know whether SEO is still working. Michael walks through the two changes behind that question: more Google searches end without a click, and the tools we use to see visibility (rank trackers and Search Console) are reporting less reliable data than they ever have. He makes the case that search now behaves like a brand channel, then lays out a six-step framework for measuring it when you can’t trace a click to a sale. In this episode: Google, OpenAI, Microsoft, and Anthropic agree to honor one shared robots.txt line for opting out of AI training, and why it could affect Gemini visibility next yearSearch Console’s AI report shows AI Overview and AI Mode appearances but still no clicks, and Google says nothing is announcedReddit’s search traffic fell this quarter despite being one of the most visible sites on Google, and its CEO blamed AI Mode and AI OverviewsWhy click-through rate curves no longer predict how much traffic a ranking sendsRank trackers can show the same keyword in different positions since Google started redirecting result links and serving suspected trackers bad dataRoughly 7 in 10 AI visits arrive with no referrer and get filed under direct trafficAn Adobe product leader’s data from the week ChatGPT links lost their tracking tag: ChatGPT visits fell about 30,000 a day and direct visits rose about 26,000Victorious gets leads through Google Ads who say they heard about us from ClaudeSix steps for measuring search as a brand channel, from setting a baseline to agreeing on a scorecard with leadershipLinks: Victorious: https://victorious.com Michael Transon on LinkedIn: https://www.linkedin.com/in/michaeltranson/ Victorious on LinkedIn: https://www.linkedin.com/company/victorious-seo/ Chapters: 00:00 Why search is turning into a brand channel 01:10 Is your SEO still working when organic traffic is down? 03:24 Google, OpenAI, Microsoft, and Anthropic agree on a robots.txt AI training opt-out 05:01 Will Google’s Search Console AI report ever show clicks? 06:13 Reddit’s search traffic falls despite top Google visibility 07:54 Zero-click searches: why rankings send fewer clicks than they used to 10:55 Why rank tracker data from Ahrefs and Semrush is less reliable in 2026 13:29 Search Console’s limits and why AI visibility is hard to measure 15:01 Why performance marketing metrics miss what search does now 16:17 AI referral traffic is hiding in your direct channel 19:26 Should you move SEO budget into paid search? 20:28 Step 1: Clean up tracking and set a baseline 22:49 Step 2: Report Google rankings and AI mention rate monthly 24:53 Step 3: Track branded search, AI assistant, direct, and paid side by side 27:42 Step 4: Ask leads how they heard about you 28:37 Step 5: Turn the signals into one story for leadership 31:44 Step 6: Agree on how leadership grades search 33:23 Why Michael still recommends investing in search Find the full transcript and links to resources on the episode page: https://victorious.com/podcast/is-seo-still-working/

  2. Oct 29

    AI Search Visibility Report: AI Recommends the Brands It Cites

    AI got more selective this quarter. Victorious went back to the same 161 brands from its Q2 Quarterly Search Report, asked nine AI platforms the same questions, and found fewer brands named and a shorter list of sources behind the answers. The brands that kept their place had one thing in common: AI was already citing their content while buyers were still researching the category, before anyone asked who to hire. Michael walks through the Q3 findings, what changed since July, and how to plan around one quarter of data. In this episode: Brands AI cited on research questions were named on consideration questions 94% of the time, versus 50% for brands it didn’t citeAI named 29 brands this quarter, down from 42, with most losses among brands with 2,000 to 10,000 web mentionsThe 50-50 threshold for getting named rose from about 20,000 mentions to 24,000 to 28,000Brand websites lost citation share on research questions to government and industry association sitesChatGPT cited Reddit in 220 of 1,000 answers last quarter and zero this quarterAI Overviews appeared on 97.5% of tracked Google searches, up from 73%, and 37% of their sources rank in the top 10Why three new AI traffic studies measure the wrong thingFind the full transcript and links to sources on the episode page: https://victorious.com/podcast/ai-recommends-cited-brands/ Links: Victorious: https://victorious.com Michael Transon on LinkedIn: https://www.linkedin.com/in/michaeltranson/ Victorious on LinkedIn: https://www.linkedin.com/company/victorious-seo/ Chapters: 00:00 Why AI recommends the brands it already cites 01:33 Google ranking volatility: unconfirmed update or bad rank tracker data? 02:51 PHP security flaws and patching WordPress sites 03:28 Three AI search traffic studies and the measurement problem they ignore 06:26 Q3 2026 Quarterly Search Report: what changed since Q2 08:36 Methodology: 161 brands, nine AI platforms, research vs. consideration questions 11:05 Headline finding: AI cites brands at the research stage before recommending them 14:43 Government and industry association sites take citation share from brand websites 18:25 AI named fewer brands and the mention threshold went up 20:33 What predicts AI brand mentions: web footprint, not link authority 23:23 AI citation sources consolidate in legal, healthcare, and financial services 24:59 ChatGPT drops Reddit citations and AI platforms disagree on sources 28:11 Google AI Overviews reach 97.5% of searches and still follow rankings 31:36 Should you change your search strategy on one quarter of data? 35:32 What Victorious is tracking for the Q4 Quarterly Search Report 37:09 Key takeaways from the Q3 report

  3. Oct 22

    Google Universal Cart What Does It Mean for Ecommerce Brands?

    Google’s Universal Cart went live in the US on October 15, putting one shopping cart across Search, AI Mode, and the Gemini app. Michael spent time with it before recording, saving products from different stores and following them to checkout to see where it works and where it breaks. He covers whether this counts as agentic shopping, why Google wants the experience to be seamless, what Google reads when it compares your products, and how to get set up before Black Friday. In this episode: What the cart does, from price-drop alerts to the two ways it handles checkoutWhy Google puts the cart on its shopper “confidence and control” track, and what ChatGPT’s checkout results say about trustWho it matters for, including Shopify stores that were enrolled by defaultWhat Google sees in the cart that your analytics no longer doesThe product data Google reads, including Merchant Center’s new conversational attributesA Black Friday setup plan and a 10-minute test you can run todaySix predictions for where the cart goes nextChapters: [00:44] Intro [01:29] News: Google serves altered results to rank trackers [03:39] News: ChatGPT visits landing as direct traffic [05:31] News: Google tests ads in AI Mode for connected apps [07:06] News: The AI Mode sidebar shows up on regular search [07:47] Google’s Universal Cart goes live [08:56] What launched [12:13] Is this agentic shopping? [17:23] Who Universal Cart matters for [20:35] Why Google wants the cart to be seamless [23:11] What Google reads when it compares products [26:37] How to set up before Black Friday [29:58] Test it the way a shopper would [30:49] Six predictions [33:50] The takeaway The transcript and links to all resources can be found on the episode page: https://victorious.com/podcast/universal-cart/ Sources: Google, An intelligent new shopping cart (Universal Cart launch), October 15, 2026: https://blog.google/products-and-platforms/products/shopping/universal-cart-launch/ Retail Brew, Google set to launch a Universal Cart (I/O 2026 preview): https://www.retailbrew.com/stories/google-takes-agentic-shopping-to-youtube-set-to-launch-a-universal-cart PPC Land, Google feeds rank trackers swapped results on 8% of pages, Nozzle finds: https://ppc.land/google-feeds-rank-trackers-swapped-results-on-8-of-pages-nozzle-finds/ Search Engine Roundtable, OpenAI drops UTM parameters from ChatGPT results (GPT-6): https://seroundtable.com/utm-parameters-missing-chatgpt-42299.html Search Engine Roundtable, Google ads now in AI Mode with Personal Intelligence: https://seroundtable.com/google-ads-ai-mode-personal-intelligence-42320.html Google tests AI Mode left sidebar on main search results: https://seroundtable.com/google-ai-mode-left-sidebar-42298.html Nick Fox on what AI search agents and Universal Cart mean for marketers: https://ppc.land/nick-fox-on-what-ai-search-agents-and-universal-cart-mean-for-marketers/ Search Engine Land, Walmart: ChatGPT checkout converted worse than its website: https://searchengineland.com/walmart-chatgpt-checkout-converted-worse-472071 What went wrong with ChatGPT's Instant Checkout: https://www.modernretail.co/technology/what-went-wrong-with-chatgpts-instant-checkout/ Inside the Worldpay agentic commerce report: https://www.worldpay.com/insights/articles/inside-worldpay-agentic-commerce-report Search Engine Journal, Google's Universal Cart is live: how carts get to your store: https://www.searchenginejournal.com/google-universal-cart-store-handoff/593145/ PPC Land, 8 Google Merchant Center attributes your feed needs for AI Mode: https://ppc.land/8-google-merchant-center-attributes-your-feed-needs-for-ai-mode/

  4. Oct 16

    Anthropic Bans Fake Sources for AI Search: Why That’s Good News for Marketers

    Anthropic updated its usage policy on October 8 to ban using Claude to build networks of fake sources that sway search results and AI answers. The rule takes effect November 12 and reaches every product built on Claude, which means a vendor running that playbook on your behalf puts your whole account at risk. Michael walks through why he reads this as good news, how the case that prompted it got caught, where faking still works, and what to build instead. In this episode: What the new usage policy section on deceptive campaigns prohibits, and who it applies toThe 70-site fake local news network that got caught by its hosting, registration dates, and publishing timingWhy more automation makes a network easier to spot, not harderHow you'd find out if a platform discounted sites that mention you (short answer: you probably wouldn't)Where faking still works, and why data voids are the real exposure for small and new companiesFour things to do this quarter, including the questions to ask any AI visibility vendorChapters: [00:45] Intro [01:57] Why Michael is happy about this [03:20] How AI answers get built, and why corroboration is the target [04:57] What changed in Anthropic's usage policy [09:46] The 70-site network and how it got caught [12:43] Platforms closing in from both sides [15:31] How you'd even know your brand was affected [18:15] Where faking still works: NewsGuard, Harvard, and Cornell Tech [22:06] What a durable presence looks like [24:27] Four things to do now [31:25] The November 12 deadline [33:06] Outro Find a complete list of linked sources at https://victorious.com/podcast/anthropic-bans-fake-sources/ Sources: Anthropic, 2026 Usage Policy update: https://www.anthropic.com/news/2026-usage-policy-update Anthropic, Usage Policy: https://www.anthropic.com/legal/aup Anthropic, Detecting and countering misuse of AI, September 2026: https://www.anthropic.com/threat-intelligence-report-september-2026 OpenAI, Disrupting AI-enabled false front operations: https://openai.com/index/disrupting-ai-enabled-false-front-operations/ Google Search spam policies: https://developers.google.com/search/docs/essentials/spam-policies Google Search ranking updates: https://developers.google.com/search/updates/ranking Google, Using generative AI content: https://developers.google.com/search/docs/fundamentals/using-gen-ai-content Google, Creating helpful, reliable, people-first content: https://developers.google.com/search/docs/fundamentals/creating-helpful-content Google, AI features and your website: https://developers.google.com/search/docs/appearance/ai-features Reddit bot labeling and human verification (TechCrunch): https://techcrunch.com/2026/03/25/reddit-bots-new-human-verification-requirements/ NewsGuard, Pravda network audit: https://www.newsguardtech.com/special-reports/moscow-based-global-news-network-infected-western-artificial-intelligence-russian-propaganda/ Alyukov et al., HKS Misinformation Review: https://misinforeview.hks.harvard.edu/wp-content/uploads/2025/10/alyukov_chatbots_kremlin_disinformation_20251015.pdf Zhang, Triedman, Shmatikov, Cornell Tech (preprint): https://arxiv.org/pdf/2605.24245 FTC final rule on fake reviews: https://www.ftc.gov/news-events/news/press-releases/2024/08/federal-trade-commission-announces-final-rule-banning-fake-reviews-testimonials Shared ChatGPT conversations in Search Console (GSQI): https://www.gsqi.com/marketing-blog/chatgpt-links-in-google-search-console/

  5. Oct 8

    How To Create a Mention Building Program

    AI assistants decide whether to name your company based mostly on what other websites say about you. This week Michael lays out the three programs Victorious runs to get more of those websites talking, and the two things that have to be in place first. In this episode: * The three programs, broadest to most targeted: mention building, link building, citation outreach * Why mentions beat links for AI visibility, per Ahrefs's 75,000-brand study * The two foundations: an in-house expertise program, and co-occurrence * Michael's case for paid placements, and the one word in Google's guidance it rests on * How citation outreach starts: 20 to 50 buyer prompts and a monthly list of 50 pages Find all the sources referenced in this episode on the Victorious website: https://victorious.com/podcast/mention-building-program/ Chapter Headings 0:00 Intro 1:32 News: Google says to review AI content before publishing 3:45 Google is paying some publishers for AI answers 4:56 AI Overviews on most branded searches 6:32 The three programs, defined 8:24 Why mentions beat links 9:18 Foundation one: an expertise program 13:07 Foundation two: co-occurrence 15:44 Mention building: nine ways to get on other sites 18:37 Press releases 20:53 The case for paid placements 23:25 Link building: the four-level review 26:07 Citation outreach 27:28 Four kinds of citations 28:45 Working the top 50 pages every month Sources Google Search Central, "Guidance on using generative AI content," updated October 1, 2026, https://developers.google.com/search/docs/fundamentals/using-gen-ai-content Search Engine Roundtable, "Google: Manually Factcheck & Review AI-Generated Content For Accuracy," October 1, 2026, https://www.seroundtable.com/google-updates-ai-content-guidelines-factcheck-review-42217.html Search Engine Roundtable, "Google Paying ~100 Publishers 0.1% Of Ad Revenue In AI Contribution Pilot" (citing The Information, September 29, 2026), September 29, 2026, https://www.seroundtable.com/google-ai-contribution-pilot-01-percent-42188.html DemandSphere, "AI Overviews on branded queries tripled in September," October 1, 2026, https://www.demandsphere.com/blog/branded-ai-overviews-september-2026/ Ahrefs, "AI Overviews Currently Appear for 83% of Branded Searches," October 2, 2026, https://ahrefs.com/blog/ai-overviews-on-branded-searches/ Ahrefs, "An Analysis of AI Overview Brand Visibility Factors (75K Brands Studied)," https://ahrefs.com/blog/ai-overview-brand-correlation/ Victorious, Q2 2026 Quarterly Search Report, https://victorious.com/quarterly-search-report/ BrandMentions, 2026 AI visibility study (240 brands, 410,000 mentions), https://brandmentions.com/blog/?p=4770 Octolens, "How B2B SaaS Wins on Reddit: 522M Mention Analysis," 2026, https://octolens.com/reddit-b2b-saas-study Muck Rack, "7 FAQs about the May 2026 update of 'What Is AI Reading?'," 2026, https://muckrack.com/blog/what-is-ai-reading-new-insights-may-faqs Google Search Central, "Optimizing your website for generative AI features in Google Search," May 2026, https://developers.google.com/search/docs/fundamentals/ai-optimization-guide

  6. Oct 1

    Technical SEO for AI Search What to Keep, Start, and Stop Doing

    When marketing leaders ask whether their technical SEO covers them for AI search, Michael's answer is mostly yes. Google's AI Overviews and AI Mode run on Google's regular index, and most of a standard technical audit carries over to the other platforms. This week he sorts technical work into what to keep, what to start, and the short list of things to skip, including a training-bot decision that removes your own description of your company from what the next model learns. In this episode * Why indexability now means two things: a search index and a model's training data * How OpenAI and Anthropic split their crawlers by job, and why blocking the training bot still costs you in answers that don't involve a search * Which index each platform searches: Google's for AI Overviews and AI Mode, a mix led by OpenAI's own index for ChatGPT, Brave for Claude, and Bing for Copilot * Two Google details teams miss: Google-Extended doesn't affect AI Overviews, and old nosnippet tags can keep pages out of them * The six areas of a technical audit that carry over, and why schema facts also belong in visible text * Why every important page should make sense as the only page an assistant reads * How to block training narrowly by folder, and why robots.txt is a request your server may not enforce * Why Michael recommends skipping LLMs.txt for most sites * What could change: less live search, paid web search, agents that read pages visually, and agentic checkout * The order to work through it with your team Chapters [00:00:00] Intro [00:02:26] This week in search: Google's September 2026 spam update, Cloudflare's AI crawler defaults, Google's Web Search Service API docs disappear [00:05:33] Does your technical SEO cover AI search? [00:06:04] Keep, start, stop [00:07:33] Crawlability and the two kinds of indexability [00:09:31] Separate bots for training and search [00:10:32] AI Overviews and AI Mode: Google-Extended and snippet controls [00:12:11] ChatGPT's own search index [00:14:13] Claude, Brave, and Copilot [00:15:04] What to do for each platform [00:17:00] Keep: the six areas of a technical audit [00:17:54] Site architecture and internal linking [00:20:16] What your server logs can tell you [00:20:42] Rendering and page speed [00:22:00] Structured data [00:23:47] Start: make every page make sense on its own [00:25:42] Start: make crawler decisions on purpose [00:28:40] Blocking training narrowly [00:29:12] Robots.txt is a request [00:30:58] Stop: LLMs.txt [00:33:46] Every black hat tactic was once white hat [00:34:38] What could change [00:39:13] Where to start with your team Find all the resources from this episode on our website. Sources Search Engine Journal, "Google Rolls Out September 2026 Spam Update Globally," Sept. 2026, searchenginejournal.com/google-september-2026-spam-update/590828/ The Next Web, "Cloudflare gives AI crawlers a September deadline: pay publishers or get blocked," July 2, 2026, thenextweb.com/news/cloudflare-block-ai-crawlers-pay-publishers Google Search Central, "AI features and your website," developers.google.com/search/docs/appearance/ai-features OpenAI, "Overview of OpenAI Crawlers," platform.openai.com/docs/bots Peec AI, "ChatGPT built its own search index," Sept. 2026, peec.ai/blog/chatgpt-built-its-own-search-index HasData, "AI Crawler Block Index," hasdata.com/blog/ai-crawler-block-index Forrester, "What It Means That The Leader In 'Agentic Commerce' Just Pulled Back," March 2026, forrester.com/blogs/what-it-means-that-the-leader-in-agentic-commerce-just-pulled-back

  7. Sep 24

    How to Build a Brand Entity for AI Visibility

    For most of the last decade, brand was the marketing line item hardest to defend, because there's no click to track when a buyer arrives already knowing who you are. AI search changes that math. An assistant reads your website, your listings, your reviews, and every page that mentions you in passing, hands the buyer one summary, and decides whether to name you at all. This week Michael connects brand entity work to the brand building marketers already know how to do, then gets practical: settle what your company is best at, make every page you control say it, cut the content that says something else, and get other sites to repeat it. In this episode: * What a brand entity is: your company as a thing AI systems can identify, the facts attached to it, and the link between your brand and your subjects that gets you named * Why brand work is easier to defend now, with Airbnb's 2020 marketing cut as the example * How AI systems compress weeks of buyer research into one description, and what happens when a forgotten directory listing or a passing newspaper mention gets it wrong * Using Jim Collins' hedgehog concept to pick the handful of subjects you want to be known for * Why publishing outside those subjects confuses AI systems about what you do, and what happened to HubSpot's and ClickUp's off-subject traffic * How to audit your site with Search Console and GA data, and why a human should tag every page on or off subject before anything gets deleted * What the homepage, about page, case studies, and team page need to say, plus a brand block at the end of every post * Organization schema, sameAs, and Wikidata, and why schema won't fix a page that doesn't say who you are * Mention building versus link building, and the order Michael recommends: fix the profiles you own, claim the ones you don't have, then go after earned coverage * How long changes take to show up on each platform, and why tracking should start the day the work does Find all the sources referenced in this episode at http://victorious.com/podcast/brand-entity/ Chapters: [00:00:00] This week in search: Comscore's AI assistant share data, Google tests AI Mode links in AI Overviews and Dive Deeper in Discover, GBP spam review alerts [00:00:00] Brand was the hardest line item to defend [00:00:00] Airbnb's 2020 marketing cut [00:00:00] What a brand entity is: the who and the what [00:00:00] Buyers now start with a chatbot [00:00:00] How AI systems assemble one description of your company [00:00:00] Wolf River Electric vs. Google [00:00:00] The hedgehog concept and your short list of subjects [00:00:00] The stop-doing list [00:00:00] Off-subject content confuses AI systems: HubSpot and ClickUp [00:00:00] Auditing your site: keep, combine, remove, improve [00:00:00] Pruning risks: IBM and CNET [00:00:00] Homepage, about page, case studies, team page [00:00:00] A brand block on every post [00:00:00] Organization schema, sameAs, and Wikidata [00:00:00] Mention building and co-occurrence [00:00:00] Fix what's wrong, claim what's missing, then earn coverage [00:00:00] How long changes take to show up [00:00:00] Pulling it together Sources: Ahrefs, "An Analysis of AI Overview Brand Visibility Factors (75K Brands Studied)," ahrefs.com/blog/ai-overview-brand-correlation/ Semrush, "How We Are Using Semrush to Drive LLM Visibility," Oct. 2025, semrush.com/blog/how-we-are-using-semrush-to-drive-llm-visibility/ Reason, "Large Libel Models: Small Business Sues Google, Claiming AI Overview in Searches Hallucinated Attorney General Lawsuit," June 11, 2025, reason.com/volokh/2025/06/11/large-libel-models-small-business-sues-google-claiming-ai-overview-in-searches-hallucinated-attorney-general-lawsuit/ Jim Collins, Good to Great (2001)

  8. Sep 18

    How To Build an AI Search Strategy, Part 4: Measurement and Reporting

    For 15 years, marketing measurement got more precise every year. AI search is moving the other way. An assistant's recommendation happens in a conversation you can't see, and no platform will tell you what was asked. Michael closes out our four-part series on building a full-funnel AI search strategy with the measurement layer: which numbers you can get, why share of voice reads like a poll, and how to report to leadership that wants more certainty than the channel can give. In this episode: Why AI assistants don't report like Search Console: the conversations are private, there's no site boundary to measure inside, and most assistants have no ad revenue riding on your clickHold the channel to the word-of-mouth bar. You can influence it, but you can't listen inThe leading indicators from a prompt tracker: share of voice, mention rate, citation rate, and sentiment, by funnel stage and platformShare of voice is a sample, not a census, so your CEO's "we weren't in the answer" is one response in a pollThe lagging indicators already in your stack: GA4's AI Assistant channel, organic conversion rate, direct traffic, branded search, and the how-did-you-hear-about-us fieldThe monthly one-pager and quarterly narrative, labeled leading and lagging, with a note on what the report can't show Chapter Headings [00:00:00] Intro [00:02:08] This week in search: GSC AI position counting will change [00:03:49] Similarweb on how much AI-influenced traffic analytics can see [00:05:14] Google pays publishers for AI answers inside Search Console [00:07:02] Measurement is getting less precise as the channel grows [00:09:21] Why AI assistants don't give you reporting [00:11:55] The word-of-mouth bar [00:13:44] Two groups of numbers: leading and lagging indicators [00:20:10] Share of voice is a poll, not a census [00:22:24] Mention rate, citation rate, and sentiment, by funnel stage [00:25:23] Track platforms separately [00:27:51] Check how your tool matches your brand name [00:29:36] Lagging indicators: GA4, Search Console, and Merchant Center [00:33:05] Direct traffic, branded search, and conversion rate [00:35:47] The monthly one-pager [00:38:12] The quarterly narrative [00:40:42] Answering the executive who wants full attribution [00:44:42] Pulling the series together You can find the transcript and all the resources on the episode page: https://victorious.com/podcast/full-funnel-measurement/ Sources Search Engine Roundtable, "Google: Google Search Console AI Position Reporting Will Evolve Over Time," September 16, 2026, seroundtable.com/google-search-console-ai-reporting-change-42099.html Similarweb, "Being Recommended in AI Makes Users 2.5x More Likely to Visit Your Site," June 2026, similarweb.com/blog/insights/ai-news/ai-visibility-downstream-impact/ Digiday, "Google rolls out pay-per-value AI licensing program to publishers," September 14, 2026, digiday.com/media/google-rolls-out-pay-value-ai-licensing-program-to-publishers/ Forbes Business Council, "CMOs Say Teams Know How To Win AI Search, Few Have Proof," June 1, 2026, forbes.com/councils/forbesbusinesscouncil/2026/06/01/cmos-say-teams-know-how-to-win-ai-search-few-have-proof/ Victorious, Q2 2026 AI search research, victorious.com/quarterly-search-report/ The Search Signal, "Building an AI Search Strategy, Part 1: The Infrastructure," youtu.be/WW8qIH1XpQc The Search Signal, "How To Build An AI Search Strategy, Part 2: Top-of-Funnel Content," victorious.com/podcast/full-funnel-tofu/ The Search Signal, "How To Build An AI Search Strategy, Part 3: Bottom-of-Funnel Mentions," victorious.com/podcast/full-funnel-bofu/

Ratings & Reviews

3
out of 5
2 Ratings

About

The Search Signal is a weekly podcast for marketing leaders navigating what's changing in search. Each week, Victorious founder and CEO Michael Transon takes one thing happening in search, breaks down what it means, and shares what leaders should do about it. Short, focused conversations for people making strategic decisions at the intersection of SEO and AI search. New episodes every week on YouTube, Spotify, and Apple Podcasts.

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