Search everywhere optimization: how to be found across AI and social search

Executive overview

Google still dominates search volume, but ChatGPT now handles the deep, problem-solving queries that used to go to Google — and it drives the vast majority of AI referral traffic for brands. Visibility is fragmenting across AI engines, social platforms, and community sites, so optimising for one channel is no longer enough.

Marketers have always marketed to machines; AI search is an evolution, not a revolution.

SEO vs AI search: similarities and real differences

• Traditional SEO best practices (backlinks, topical authority, structured content) carry over to AI platforms like ChatGPT.
• JavaScript-heavy sites are invisible to AI crawlers — a fundamental technical gap.
• Only ~19% crossover between top Google-ranking brands and top ChatGPT-cited brands.
• Self-referential listicles ("our product is #1") are boosting AI citations short-term but will likely be devalued.
• Spammy link-building tactics that once gamed Google are temporarily inflating LLM citations; expect crackdowns.

ChatGPT vs Google: when people use each

• ChatGPT wins for deep, multi-layered, problem-solving prompts with follow-ups.
• Google retains everyday, transactional, and quick lookup searches.
• Younger audiences skip Google entirely; voice-first kids won't use typed search.
• Even if a brand's audience isn't on a platform, ChatGPT and Google both pull from it — presence everywhere still matters.
• ChatGPT conversion rates from AI referral traffic are exceeding 8% for some brands — unusually high.

Why "search everywhere" means every platform

• ChatGPT scrapes Google; being absent from Google hurts AI visibility even if your audience is on ChatGPT.
• TikTok and Instagram content surfaces on Google page one via "What people are saying" SERPs — even for B2B keywords.
• Instagram logs 6.5 billion searches a day; social search intent is distinct from scroll-and-discover.
• Content created for virality and content created for social search are different — brands conflate them.
• Reddit and community platforms are being cited less as LLMs tighten manipulation controls; expect continued decline.
• Facebook and Instagram data is largely unavailable to AI crawlers because Meta doesn't sell it to competitors.

Blog content and topical authority

• Topical authority still requires volume of on-site content; no blog presence = no citations in AI platforms.
• Purpose of a blog post has shifted: less about direct traffic, more about establishing the brand as the authoritative source for a topic.
• Quality is not length — unique proprietary data, original studies, and subject-matter expertise are what earn citations.
• NP Digital's own research shows facts, stats, and data are the top reason brands get cited in AI overviews.
• A good blog post today can anchor digital PR, media pitches, and AI citations simultaneously.

Creator trust and the decline of brand loyalty

• Brand loyalty is declining (Forbes, eMarketer data) as people trust creators they follow over brand claims.
• UGC is most valuable when authentic and unsponsored; AI platforms and regulators are getting better at detecting paid disclosure.
• Passive social discovery (scrolling, not searching) drives unplanned purchases — a separate channel from intent-based search.
• Agencies are winning enterprise clients from thought leadership content on LinkedIn and TikTok, not just SEO rankings.
• Word of mouth and social are blurring: people repeat recommendations from creators they trust but have never met.

Breaking down marketing silos

• Paid and SEO teams are the most chronically siloed — forced weekly collaboration meetings are required, not optional.
• AI overviews depress paid click-through rates, lower quality scores, and raise CPCs — SEO data should feed directly into paid strategy.
• Google's PMax and AI Max campaigns are AI crawlers that read on-site content, headings, FAQs, and alt tags to decide ad placement and format; unoptimised content means wasted ad spend.
• Paid teams have conversion data that SEO teams rarely access — sharing it would shift SEO focus from traffic to revenue.
• Silo structure matters less than forced cross-team communication; shared goals and standing meetings are the fix.

AI browsers and the agentic future

• AI browsers (Comet, Atlas) face a hard adoption barrier: Chrome's extension ecosystem, passwords, and history are deeply entrenched.
• Both Perplexity's Comet and OpenAI's Atlas were jailbroken within 48 hours of release — trust and security are blockers.
• Switching browsers is as difficult as switching email clients; Google will integrate AI into Chrome before users switch away.
• Agentic "market to machine" is already happening — SEO and algorithm optimisation have always been machine-marketing.
• Data feed completeness will become more important as machines parse every field; humans read headlines, machines read everything.