Generative AI isn’t just reshaping search, it’s rewriting the rules of discovery, sales and brand visibility. Buyers are skipping traditional funnels and making multimillion-dollar decisions based on what AI recommends first. That shift demands a new playbook: Generative Engine Optimization (GEO).
Bospar is leading the way, from launching our Audit*E platform, to tracking how AI adoption is changing B2B purchasing behavior and exploring why GEO is essential for every company. We’re helping brands understand and influence how they appear in AI search results, and what it means for the future of PR.
Is your brand ready for the GEO era?
Bospar Launches Audit*E for Visibility in AI Search
On September 25, Bospar launched AuditE (pronounced “oddity”), our groundbreaking new platform designed to help companies measure, monitor and improve their visibility in generative AI search. As search behavior increasingly shifts to AI-powered platforms like ChatGPT, Claude, Gemini, Perplexity and Google’s AI Overviews, AuditE will provide organizations with a way to monitor and influence their presence across these systems.
AuditE builds on our first publicly available AI tool, PushE. While PushE offers free 24/7 PR guidance, AuditE runs real-world queries across leading AI platforms to evaluate how companies appear in generative responses. It measures accuracy, sentiment and completeness of brand representation, while also comparing results against competitors.
The platform goes beyond analysis, offering actionable recommendations to strengthen presence in GEO and AEO and help companies determine how they can improve their ranking against their competition on generative AI. When the platform identifies inaccurate details and gaps in brand presence, or no representation where there should be results, it provides insights along with recommended actions to help correct and influence responses. Insights are tracked through a dashboard that scores progress over time, so brands can directly measure the impact of campaigns and optimizations. Together, Audit*E and Push*E reinforce Bospar’s vision of making PR and marketing smarter, more measurable and better aligned with how modern audiences find information.
Why GEO and AEO Matter Now
Bospar’s research shows that executives are already consulting ChatGPT and other platforms when making purchase decisions. Outside research supports the trend: MuckRack reports that 95% of AI citations come from earned, not paid, media, making credibility and authoritative content essential for visibility.
Our experience with client RealSense demonstrates the need for a tool like AuditE, as well as its efficacy. As we geared up to help RealSense spinout from Intel, Bospar’s GEO team did an analysis of what AI platforms like ChatGPT were saying about the company.
We found ChatGPT was still operating on old web data, showing inaccurate info. The GEO team jumped in, flooding the web with fresh, authoritative content that reprogrammed AI to ensure the right info was surfacing. Bospar was then able to power an incredible launch: 500+ stories, a 4X surge in website traffic and massive social buzz. (See our RealSense case study below)
“If your company isn’t showing up in AI answers, you’re invisible to a growing percentage of your audience,” emphasizes Curtis Sparrer, Bospar principal. “AuditE helps companies understand where they stand, where their competitors are winning, and what steps they need to take to future-proof their AI presence.”

Key features of AuditE include:
- Cross-platform audits across ChatGPT, Claude, Gemini, Perplexity, Copilot, DeepSeek and Google AI Overviews
- Sentiment scoring and accuracy analysis, with competitor benchmarking
- Gap identification and actionable recommendations for visibility improvements
- Performance tracking dashboard with trendlines over time
- Customizable queries for company-specific visibility goals
- Recurring audits (weekly, monthly, quarterly) to monitor evolving brand presence
“Traditional SEO got brands onto page one of Google,” Sparrer explained. “AuditE is the next leap forward, ensuring companies show up in the places customers are already searching — AI-powered answers.”
Initially, Audit*E will be used internally to support Bospar clients. Later this year, Bospar will roll out a subscription model, for businesses that may not have agency access but still need to compete in the generative search era. This model provides affordable access to tools that level the AI playing field.
Key takeaways:
- Audit*E gives companies clarity: Track brand presence, accuracy, and sentiment across AI platforms
- Built-in competitive benchmarking shows how your brand compares to rivals
- Identifies gaps and provide actionable recommendations to improve visibility
- Free for Bospar clients now, with a subscription service coming soon
Why GEO Is the New Essential for Brand Visibility
Not long ago, if you wanted to know “What’s the best CRM for startups?” you’d Google it, scroll through links, maybe read a few reviews. Today, more buyers, both B2B and B2C, ask generative AI tools like ChatGPT, Claude, Gemini and Perplexity.
Questions like:
“Who should I bank with?”
“What’s the best endpoint detection and response tool for my business?”
The answers no longer come from a list of blue links. They come directly from AI engines, and if your company isn’t included in those responses, you may be invisible to a growing percentage of your audience.
That’s why Generative Engine Optimization (GEO) has quickly become a must-have for brands.
GEO vs. AEO: What’s the Difference?
- GEO (Generative Engine Optimization) is about making sure large language models (LLMs) — like ChatGPT or Claude — include your company when answering questions. Think of it as SEO for AI.
- AEO (Answer Engine Optimization) focuses on how you show up in AI-driven results on search platforms, like Google’s AI Overviews.
Together, GEO and AEO form the foundation of digital visibility, ensuring your brand shows up, in the AI age.
Why Traditional SEO Isn’t Enough
Traditional SEO isn’t going away, but it’s no longer enough. AI models aren’t scanning the web for backlinks and keywords alone. Instead, they’re curating answers from credible, structured and trustworthy sources.
According to MuckRack, 95% of AI citations come from earned media, not paid placements.
Research also shows that:
- ChatGPT leans heavily on journalistic content
- Claude prefers technical and government sources
- Google’s AI Overviews prioritize structured, authoritative material
That means your website alone won’t guarantee visibility; press releases, case studies and FAQs are critical. To win in the AI era, owned and earned content must work together.
This means PR is more essential than ever. The rapid adoption of AI platforms is reshaping how trustworthy information is discovered, and PR produces the very content that AI engines prefer: validated, third-party coverage from reputable outlets, analyst briefings, expert commentary, syndicated press releases and other high-authority sources.

When done right, PR creates a digital web of corroboration that reinforces a brand’s credibility across the exact channels large language models rely on to generate their answers.
The bottom line: In the AI age, your owned content provides the facts, but earned media validates them.
Bospar’s GEO + AEO Framework
At Bospar, we’re leading with fully integrated GEO and AEO strategies designed to future-proof brand visibility. Our three-part approach ensures clients show up where it matters most:
Here’s how it works:
Establish Trust & Authority
- Earn coverage in high-authority outlets like Reuters, Axios and the Financial Times.
- Position executives as thought leaders through contributed articles, expert commentary and speaking opportunities.
- Ensure accurate, consistent company information across trusted sources like Wikipedia, YouTube, Reddit and LinkedIn.
Create AI-Friendly Content
- Develop structured, answer-oriented materials like FAQs, how-to guides, case studies and white papers.
- Publish proprietary research and data reports that AI can easily cite.
Incorporate quotes, citations, and proof points to reinforce credibility.
Audit & Optimize Across Engines
- Monitor how your brand appears in ChatGPT, Claude, Gemini, Perplexity and Google’s AI Overviews.
- Benchmark against competitors to identify strengths and gaps.
- Use AI auditing tools to continuously to monitor sentiment, accuracy and visibility
Future-Proof Your Firm
GEO isn’t a nice-to-have; it’s the new table stakes. AI is already reshaping how people discover brands, evaluate options and make decisions. The brands that adapt today will be the ones showing up in tomorrow’s AI-powered answers.
So, how is your company showing up in ChatGPT or Claude right now?
Key takeaways:
- Keep your corporate site content fresh, structured, and detailed
- Pursue awards, press coverage and thought-leadership opportunities to add third-party credibility
- Launch bold, newsworthy campaigns that earn top-tier coverage — and long-term AI visibility
- Audit your AI presence regularly to see how engines describe you versus your competitors
From Likes to Links: How Social Platforms Are Fueling the Future of AI Search
In its infancy, social media was a forum for socialization, self-expression, validation and entertainment. Great posts were rewarded with likes, comments and visibility from our networks. Over the years, the comments started to dry up, likes became scarce and feeds became less of a celebration and more of a chore.
However, explains Connon Grant, VP of Social Media at Bospar, large language models (LLMs) like ChatGPT, Gemini and Perplexity are indexing social content, rewriting the role of social media. What you share on X, LinkedIn, Reddit, YouTube, TikTo and Instagram is no longer just for followers; it’s training the next generation of search engines.
New research from SEMrush predicts that LLM traffic will overtake traditional Google search by the end of 2027, and as of 2025, 71% of Americans use AI to search for information online.
Social media content is now a discovery engine for AI search. It doesn’t matter if you’re a SaaS company or a Detroit-style pizza restaurant; if the content on your social channels is useful, trusted, up-to-date and aligned with how people search, AI will find it. This shift means your social channels are no longer optional; they’re foundational to how your brand is represented.
Why Social Media Matters in AI Search

Historically, SEO and paid media shaped how brands showed up in search. Social media did not factor heavily into the equation. Now, explains Grant, AI search pulls from a much broader set of signals, and social media is high on the list specifically:
- Posts and accounts that consistently earn engagement
- Executive thought leadership, especially on LinkedIn
- User-generated content across TikTok, Reddit, and Instagram
- Verified profiles with steady activity
- Blogs and roundups citing or tagging your brand
In short, your social presence shapes how AI, and your stakeholders, understand your expertise.
The LinkedIn Effect
Among platforms, LinkedIn punches above its weight. LLMs treat it as a “trust signal,” elevating content that reflects expertise, thought leadership and credibility,” shares Zoe Anderson of Bospar’s social media team. A strong executive presence, backed by consistent posts and verified company pages, multiplies your chances of being indexed, and cited, in AI search results. It also improves brand accuracy.
Bospar’s AI Audit confirms it: outdated or inconsistent profiles are surfaced just as easily as polished ones. If you aren’t driving the narrative with fresh content, AI may default to old information or worse, competitor commentary.
The Three Most Important Social Moves for AI Search Optimization
- Diversify content. Don’t bank on one platform. Share content across LinkedIn, YouTube, Reddit, TikTok, using multiple formats (video, carousels, blogs).
- Empower people. AI trusts individuals more than logos. Encourage executives and experts to post insights, comment and join the conversation.
- Optimize with intent. Your new KPIs aren’t likes; they’re dwell time, watch duration, upvotes and shares. Performance on-platform directly affects visibility in AI search.
The better your content performs where it lives, the more likely it is to show up in AI search, shaping the narratives served to users.
The bottom line: social media is no longer just about reach, it’s about relevance in the AI era.
Key takeaways:
- AI trusts social. Engagement and consistency are now signals of credibility
- LinkedIn is a power source. It blends credibility with discoverability, making it the most influential platform for AI search
- Owned + earned work together. Fresh, accurate updates improve indexing
- Social informs reputation. What you share today determines how AI presents you tomorrow
Bringing RealSense to Life in the AI Era
RealSense, a pioneer in depth-sensing technology, was preparing to spin out of Intel.
Its cameras already powered 60% of the world’s humanoid robots and AMRs, Boston Dynamics’ industrial robot dogs, and even assistive technology for the blind.
Yet, by 2025, the company faced an existential branding crisis. ChatGPT and other generative AI engines had declared RealSense “dead,” misinterpreting Intel’s 2021 discontinuation of a product line as proof that the entire division had shut down.
That posed a serious business risk.
Bospar stepped in to “rewrite the record.”
The Challenge: Combatting Misinformation
The official spinout announcement was locked in for July 11, a summer Friday PR graveyard.
Delaying wasn’t an option; Intel had already briefed customers and some media, raising the risk of leaks. And, as CMO Mike Nielsen noted, “employees were super stoked with literally zero chance of staying quiet over a weekend.”
Bospar’s mission: convince both journalists and AI engines that RealSense was alive, independent and investor-backed while simultaneously executing a flawless launch during the worst possible news cycle.
As Nielsen put it: “We had to combat some FUD that had been out there for the better part of four years.”
Failure could have doomed the spinout before it began.
Strategy: Algorithmic Debugging Meets Launch Communications
Bospar’s Generative Engine Optimization (GEO) team began with a forensic audit of eight major AI engines to understand why they had declared RealSense dead.
Seven of 10 common AI queries affirmed the ‘death’ narrative.

All had misread Intel’s 2021 restructuring as a shutdown.
Our insights shaped a dual-front strategy, targeting both AI engines and the press. (It also led to the development of Audit*E).
This entailed:
Reprogramming the engines. A 45,000-word content lift rebuilt RealSense’s digital presence, including 28 new case studies, structured schema markup, FAQs addressing false closure stories, and authoritative backgrounders. We continuously tested and refined prompts across eight engines to ensure the corrections held.
Proof of life narrative. Pairing the spinoff with RealSense’s $50M Series A announcement, removing any doubt about its existence or viability.
Media outreach. Instead of hiding from the July 11 launch, we leaned in, executing embargo pitching during the July 4 lull, securing commitments from 33 key reporters. Embargoed briefings rolled in from CNBC, TechCrunch, Reuters, CRN, Axios Pro Rata, Fortune and The Wall Street Journal.
Social resurrection. Re-activating RealSense’s dormant LinkedIn presence, transforming executives into visible thought leaders, shaping debates on automation, computer vision, and ethical AI.
Pre-launch content. Securing podcast and industry-forum appearances for RealSense leaders, creating fresh, AI-discoverable content ahead of launch.
Execution: Turning a “Digital Death” into a Revival Story
On launch day at 6:00 a.m. EDT, the redesigned website and LinkedIn page went live, synchronized with embargo lifts on the press release, all broadcasting one message:
RealSense was alive, independent, and leading the future of robotic vision
Within the first two hours of launch, PR secured 140 media placements.
By week’s end, coverage exceeded 500 stories with a combined reach of 2.2B UVMs, a level of visibility that demonstrated intense market and media interest in RealSense’s independence and innovation.
The news was syndicated by Yahoo! Finance, amplified by Reuters, CNBC, TechCrunch, and reinforced by real-time engagement on LinkedIn.
The coverage not only confirmed RealSense’s independence and funding but shifted the narrative. CRN’s headline captured it best:
“RealSense Almost Died At Intel. Now It’s Spinning Out With $50M In Funding.
Impact: Correcting the Record and Reclaiming Market Momentum
- AI reset: ChatGPT and other engines updated their answers to reflect RealSense’s continued existence and new leadership role in robotic vision.
- Pipeline growth: Website traffic quadrupled in one week, with 18,000+ visitors, 46,000+ page views, and 380+ inbound leads — a potential multimillion-dollar pipeline.
- Social breakthrough: LinkedIn followers surged +30% MoM, engagement rates hit 12% (double the industry average), and the CEO’s launch post earned 250,000+ impressions, 4,800 engagements, and placement in LinkedIn’s “Today’s Top News.”
- Market validation: NVIDIA highlighted RealSense as a partner, and 15+ new partnership opportunities were sourced directly from social engagement.
RealSense’s challenge highlighted a new reality: if AI engines say you’re dead, you may be invisible to the very markets you need to reach.
However, through GEO-driven “algorithmic debugging,” a massive content overhaul, and synchronized media outreach, Bospar corrected the record and positioned RealSense as a reborn leader in robotic vision proving that earned media and credible third-party coverage are critical in the AI era.
Key takeaways:
- Visibility in AI search is now as critical as traditional media presence
- Combatting AI-driven misinformation requires algorithmic debugging, not just standard SEO
- Strong earned media proved essential for influencing not only journalists but also the generative engines that shape brand perception