Open an incognito browser. Type your company name plus the word “reviews” or “vs competitor.” Look at the AI Overview that appears above the organic results. That paragraph — written by an AI that read every public mention of your company — is now the first impression a B2B buyer gets when they research you. It runs ahead of your homepage, your case studies, and your sales team. And most B2B brands have no idea what it says.
The discipline of online reputation management SEO used to focus on what ranked in the ten blue links. That game has changed. AI Overviews now synthesize verdicts from across the web, and the inputs they pull from determine whether you make a buyer’s shortlist before you ever know the evaluation is happening. This guide covers how to audit what AI is saying about your B2B company right now, what signals shape those summaries, and the proactive playbook to influence the inputs in your favor.
Why AI Overviews Now Decide B2B Shortlists
Google’s AI Overviews, ChatGPT’s web-connected responses, Perplexity, and the answer features built into Bing all share a common pattern: they aggregate signals from review sites, news mentions, forum threads, and authoritative blogs into a single synthesized answer. For B2B buyers running early-stage research, that synthesized answer often substitutes for clicking through to source content. The result: vendors that look favorable in the synthesis make the shortlist; vendors that look unfavorable or invisible do not.
The strategic stakes are high. A 2024 BrightEdge study found AI-driven search experiences are now influencing a substantial share of B2B research sessions, and Search Engine Land has documented how AI Overviews are reshaping B2B discovery. Brands that monitor and influence these surfaces gain a structural advantage in pre-sales positioning.
How to Audit What AI Is Saying About You
Run this five-query audit monthly. Use an incognito window for each. Document what appears in the AI Overview, what sources it cites, and what sentiment the summary conveys.
- “[Your company] reviews”
- “[Your company] vs [top competitor]”
- “Is [your company] worth it” or “is [your company] legit”
- “[Your category] best companies”
- “[Your company] pricing” or “[your company] cost”
Knowing how to manage online reputation in Google now requires this query-level audit discipline. The patterns you find will surprise most marketing leaders. Stale review platform rankings, outdated press mentions, competitor-run comparison blogs, and three-year-old Reddit threads all routinely show up in the cited sources. Each is an input you can influence with the right online reputation management SEO playbook.
The Signals AI Overviews Reward
AI Overviews preferentially pull from sources that share four traits: high domain authority, recency, structured data (schema markup, FAQ blocks, comparison tables), and consistent sentiment. Brands that invest in producing assets matching these traits get cited more often, and the synthesized verdicts skew more favorably. Practically, that means publishing comparison content from your own domain, building schema-rich FAQ pages on key purchase questions, maintaining a programmatic review acquisition motion on G2 and Capterra, and earning third-party coverage from publications AI engines treat as authoritative.
How to Manage Online Reputation on Google
Beyond AI Overviews, the rest of the first page still matters — and most B2B brands have not refreshed their Google reputation audit in years. To manage online reputation in Google effectively, audit pages one and two for your branded queries and your executives’ names. Identify negative or stale content sitting in the top ten. Build a displacement plan: refresh your own properties, earn new third-party coverage, and feed Google the freshness and authority signals it uses to reorder results.
Knowledge Panel hygiene is the other overlooked layer. Most B2B companies have a Google Knowledge Panel populated with whatever Google scraped first — sometimes inaccurate, often incomplete, occasionally pulling from outdated sources. Claim it, correct it, and feed it the structured data that keeps it accurate over time.
What Reputation-Led Brands Do Quarterly
The teams winning the AI-search reputation game run a tight quarterly rhythm: five-query AI Overview audit, top-ten Google audit for branded and executive terms, review platform velocity check, schema and FAQ refresh on priority pages, and one earned-media placement targeting a high-authority publication. The cadence sounds simple. The discipline of doing it every quarter is what separates the cohort gaining ground from the cohort losing it.
KEO Marketing builds and runs this quarterly motion for B2B clients as part of our online reputation management services — including the AI Overview audit, the displacement plan, and the content production needed to feed the signals that AI search engines reward.
Curious what AI is saying about your company right now? KEO Marketing’s reputation audit surfaces what’s showing up in AI Overviews, what’s ranking on page one, and the highest-leverage gaps to close in the next ninety days. Explore our online reputation management services or request a complimentary marketing audit to get the diagnostic.
130 views