![\"\"](\"https:\/\/birdeye.com\/blog\/wp-content\/uploads\/5-42.png\")
<\/figure>\n\n\n\nAt the very top of the results, Google\u2019s AI Overview<\/a> had already summarized that thread, compressing a messy, human discussion into a neat paragraph.<\/p>\n\n\n\n That moment made me pause: if AI is paraphrasing the crowd, what\u2019s left of your carefully built SEO strategy?<\/p>\n\n\n\n For years, we optimized landing pages and metadata to win the click. But the front door to your brand has quietly moved. Users now add words like \u201cReddit,\u201d \u201cforum,\u201d or \u201creviews<\/a>\u201d to their searches to bypass polished marketing and go straight to lived experience.<\/p>\n\n\n\n Google has leaned into this behavior. Its \u201cDiscussions & Forums\u201d carousels highlight community voices, while AI Overviews often summarize those same conversations, satisfying intent without sending a visitor to your site.<\/p>\n\n\n\n The result is undeniable: discovery now runs through the internet\u2019s comment section. By early 2025, AI Overviews appeared in a significant share of search queries, especially in categories where human context matters most.<\/p>\n\n\n\n That raises a new question for brands. It\u2019s no longer just \u201cDo I rank?\u201d<\/em> but \u201cAm I part of the answer?\u201d<\/em> Because being present in that answer layer doesn\u2019t just get you found; it positions your brand as credible at the moment of decision.<\/p>\n\n\n\n AI models turn to communities because they offer what static web pages often lack: recency, nuance, and disagreement. A product page can tell you the specs, but it won\u2019t mention that last Tuesday\u2019s update broke compatibility with older devices.<\/p>\n\n\n\n On the other hand, communities will do it for you. They surface edge cases, trade-offs, and lived experiences\u2014the messy realities real customers encounter. <\/p>\n\n\n\n That\u2019s why licensing deals with platforms like Reddit and Stack Overflow matter. They feed AI a curated stream of what people are saying.<\/p>\n\n\n\n But the \u201ctruth\u201d AI learns here isn\u2019t fact-checked. It\u2019s crowdsourced, biased, or incomplete, and yet it shapes what AI says next. If you\u2019re absent from those conversations, someone else\u2019s version of your story becomes the one AI repeats.<\/p>\n\n\n\n When it comes to high-stakes or unfamiliar decisions, social proof<\/a> now outranks corporate polish. A glossy website or ad can feel distant, whereas an unfiltered review or forum post feels real. People value warmth, human stories, and candid feedback over credentials or claims. They don\u2019t just want an answer. They want to know someone like them has tried it, hated it, or loved it, and why.<\/p>\n\n\n\n Today, it doesn\u2019t take much to shape perception. One forum post that says your service is \u201cslow to respond\u201d can quickly snowball. Google highlights it in \u201cDiscussions,\u201d an AI Overview repeats it in a \u201cnear me\u201d search, prospects bring it up in sales calls, and soon competitors are echoing it and reviewers are piling on. Before long, \u201cslow to respond\u201d isn\u2019t just one person\u2019s opinion; it\u2019s the internet\u2019s version of your brand.<\/p>\n\n\n\n Once AI starts repeating it, that narrative becomes the default until you replace it with something stronger, in public.<\/p>\n\n\n\n Local search is where these changes are playing out most visibly. Add a place name\u2014like \u201cplumber in Austin\u201d<\/em>\u2014and the odds of seeing an AI Overview jump dramatically. Proximity now influences who gets surfaced in the answer layer, sometimes even before the local pack or organic results. The closer your business aligns with a customer\u2019s location and intent, the more likely AI is to cite you.<\/p>\n\n\n\n For publishers specializing in product or service reviews, AI Overviews can be both a validation and a risk. Being cited by Google or another AI platform validates your authority, but it can also mean the query is satisfied right there, with traffic flowing to a retailer instead of your site.<\/p>\n\n\n\n The same principle applies to local businesses. Reviews are now part of the answer layer itself. A credible online presence, paired with detailed customer stories, ensures that when AI cites you, it leads to actual customers, not just impressions.<\/p>\n\n\n\n In a community-driven search world, what people say about you directly shapes what AI repeats about you. That\u2019s why you shouldn\u2019t just \u201cmanage\u201d communities. You should cultivate them like an owned asset. Here\u2019s how you can achieve it:<\/p>\n\n\n\n AI models are already scanning forums, reviews, and social conversations to shape the answers they give. If your brand isn\u2019t present in those spaces, the story gets told without you\u2014and AI will repeat someone else\u2019s version.<\/p>\n\n\n\n To compete in a search environment shaped by forums and AI Overviews, you need to show up where conversations are happening and make your contributions easy for AI to understand. Here\u2019s how to do it:<\/p>\n\n\n\n 1. Map your community graph:<\/strong> Find where your buyers actually talk\u2014subreddits, product communities, Discord channels, YouTube comments, niche forums, local Facebook groups, app store reviews, etc. Prioritize the spaces that consistently appear for your highest-intent searches.<\/p>\n\n\n\n 2. Close loops in public:<\/strong> Treat negative reviews or forum posts like open support tickets. Resolve the issue, then post the outcome\u2014refunds, fixes, or policy changes\u2014where the conversation started.<\/p>\n\n\n\n 3. Create content people understand and AI can use:<\/strong> Write FAQs and explainers in customer language with specifics like model numbers, timelines, and locations. Use structured data so AI can read and cite it. Encourage reviewers to include details; they improve both human trust and AI retrievability.<\/p>\n\n\n\n 4. Turn conversations into curated insights:<\/strong> Summarize what people tried, what worked, and what didn\u2019t, crediting contributors where appropriate. Invite practitioners and superusers to co-author. Real thought leadership comes from curating and translating these conversations, not just adding another opinion.<\/p>\n\n\n\n Traditional metrics like rankings and clicks can\u2019t tell you if you\u2019re showing up in the answer layer. What matters now is influence: whether AI platforms are pulling your brand into the responses people actually see. So, add leading indicators that measure influence.<\/p>\n\n\n\n For local brands:<\/strong><\/p>\n\n\n\n For publishers:<\/strong><\/p>\n\n\n\n It\u2019s also important to measure the whole journey from mention to conversion: someone talks about you in a forum \u2192 AI cites it \u2192 the searcher clicks to your profile or location page \u2192 they convert.<\/p>\n\n\n\n Operating in an AI-shaped search environment means thinking about brand safety as much as visibility. Three risks stand out:<\/p>\n\n\n\n You don\u2019t own your brand story unless you\u2019re telling it where AI listens. If you\u2019re not feeding the machine with authentic proof, such as reviews, responses, and conversations, it will build its narrative from someone else\u2019s version.<\/p>\n\n\n\n![\"\"](\"https:\/\/birdeye.com\/blog\/wp-content\/uploads\/6-37.png\")
<\/figure>\n\n\n\nTable of contents<\/h2>
Reddit, forums, and AI overviews now shape your brand\u2019s first impression<\/h2>\n\n\n\n
Why AI relies on communities for \u201ctruth\u201d<\/h2>\n\n\n\n
![\"Infographic](\"https:\/\/birdeye.com\/blog\/wp-content\/uploads\/Forum-effect-in-AI-search.png\")
<\/figure>\n\n\n\nWhy do people trust strangers over brands?<\/h2>\n\n\n\n
![\"\"](\"https:\/\/birdeye.com\/blog\/wp-content\/uploads\/7-34.png\")
<\/figure>\n\n\n\nEven one comment can shape your brand\u2019s reality<\/h2>\n\n\n\n
Local services are in the spotlight<\/h2>\n\n\n\n
What to do now:<\/h3>\n\n\n\n
\n
Product review publishers: Spotlight vs. click loss<\/h2>\n\n\n\n
How to compete:<\/h3>\n\n\n\n
\n
Treat the community as an owned asset<\/h2>\n\n\n\n
\n
Birdeye makes this easier by bringing collection, response, and syndication into one platform, helping ensure AI sees the most accurate, up-to-date proof of your brand\u2019s value everywhere customers are looking.<\/strong><\/pre>\n\n\n\n
AI is learning from communities. Make sure it\u2019s learning from you<\/h2>\n\n\n\n
Operating in the new SERP: A practical playbook<\/h3>\n\n\n\n
Pro tip:<\/strong> As Andrew Shotland from <\/a>LocalSEOGuide.com<\/a> points out, you can also use Google\u2019s Discussions and Forums<\/em> results to quickly find the forum posts and threads Google finds most helpful. It\u2019s a great way to discover what real people are saying, and what Google (and AI) is likely to highlight.
See examples below showing how these forum results appear in Google search:<\/pre>\n\n\n\n![\"\"](\"https:\/\/birdeye.com\/blog\/wp-content\/uploads\/8-25.png\")
<\/figure>\n\n\n\n![\"\"](\"https:\/\/birdeye.com\/blog\/wp-content\/uploads\/9-20.png\")
<\/figure>\n\n\n\nFrom rankings to resonance: The new metrics<\/h2>\n\n\n\n
\n
\n
Example:<\/strong>
A Reddit thread praises your \u201cfast weekend service.\u201d Two weeks later, AI Overviews start citing it for \u201cplumber near me.\u201d Clicks to your GBP rise 18%, bookings increase 12%. That lift traces back to one community mention.<\/pre>\n\n\n\nGovernance and risk<\/h2>\n\n\n\n
\n
Be the source, not the summary<\/h2>\n\n\n\n
What to do this quarter:<\/h3>\n\n\n\n
![\"Watch](\"https:\/\/birdeye.com\/blog\/wp-content\/uploads\/NEW-Watch-Demo-Regular.png\")
<\/a><\/figure>\n","protected":false},"excerpt":{"rendered":"