Move to a search everywhere strategy
Your buyers are shortlisting suppliers before they reach your website. They ask ChatGPT or Perplexity for options, see who gets talked about on LinkedIn, read reviews on G2 or Capterra, and only then search Google, often for a name they already picked. Being visible on each of those surfaces puts you on the shortlist where it gets made.
A search everywhere strategy puts your business in front of buyers on each of those surfaces, in each of your languages, from one consistent set of facts. Below: which surfaces matter, what each rewards, and how to run them as one.
Five shifts to know before you plan
- Search is fragmented: buyers bypass Google for AI tools, social feeds and niche platforms.
- AI answers need earning: generative engine optimization (GEO) is how AI comes to cite your business as the source.
- Vertical search shapes B2B: G2, Capterra and industry directories drive procurement decisions.
- Multilingual means local: each market's content matches how that market searches.
- Facts get cited: explicit, clearly laid-out facts get cited more accurately than narrative prose.
If your other languages lag behind English, our multilingual SEO services build one search everywhere presence across them.
Search now spans more than Google
“Zero-click” searches and AI overviews have reshaped the SERP. Today’s buyers start journeys on LinkedIn, refine queries in Perplexity, and validate vendors on G2. Visibility across all three puts you where a B2B shortlist now gets made.
Modern search delivers answers. Success now depends on becoming the “source of truth” behind those answers. Build entity-based content clusters that demonstrate deep topical authority across all digital surfaces.
Where buyers search in 2026
| Search surface | User intent | Optimization focus |
|---|---|---|
| AI assistants (ChatGPT, Gemini) | Synthesised research | GEO and structured data |
| Social search (LinkedIn, TikTok) | Social proof and trends | Native video and thought leadership |
| Vertical engines (G2, Amazon) | Product comparison | Review management and attributes |
| Traditional search (Google, Bing) | Navigational queries | E-E-A-T and technical SEO |
Get recommended by AI assistants with GEO
When an AI assistant recommends three suppliers, the buyer usually picks from those three. GEO shapes your content for AI models that synthesise answers.
To be cited by ChatGPT or Perplexity, your content must be machine-readable, fact-dense, and structured for easy extraction. See our GEO framework for implementation guidance.
AI prioritises credibility. Use tables, lists, and explicit data points, in plain factual language. As agencies like First Page Sage argue, citation frequency is becoming the new backlink.
Social platforms as vertical search engines
If your buyers search LinkedIn or YouTube before Google, your profile there is the first impression you give them, so make it a full one. LinkedIn is now a primary B2B search engine: optimize your profile with industry keywords to appear in internal searches. Similarly, TikTok and YouTube serve “how-to” queries, especially for complex topics like EUDR compliance or SaaS demos.
Hashtags, captions, and on-screen text act as metadata. Consistent visibility here builds real-world authority, signals AI models use to verify your credibility.
Show up on B2B vertical platforms
- LinkedIn: Embed keywords in headline and About section.
- G2/Capterra: Solicit reviews mentioning specific features or use cases.
- YouTube: Use “how-to” titles, timestamps, and detailed descriptions.
- TikTok: Pair trending audio with clear on-screen text.
- Directories: Maintain consistent NAP data across listings.
Write for how each language market searches
Your German buyers search in their own way, so a page written for German search is the one they find. Dutch, Spanish and German users search differently, even within Europe. Apply multilingual SEO best practices to align with local intent.
Technical execution matters: use hreflang tags and country-code domains (.de, .es) to signal local authority. The BeTranslated network is built on exactly this approach, with a local domain per market.
For AI, local expertise is essential. Firms like Delaguía y Luzón publish in several languages, with legally precise, regionally relevant content that earns visibility well beyond Valencia.
If you want your other language versions pulling their weight, talk to us about your multilingual SEO strategy.
Write content machines can parse and quote
A page an AI model can parse cleanly is a page it can quote. Use clear headings, schema markup, and explicit data so AI reads your page exactly as you mean it. Follow a technical SEO audit checklist to ensure infrastructure supports GEO.
Implement FAQPage, Organization, and Product schema so AI models like Gemini can map your expertise into knowledge graphs.
As Go Fish Digital argues, structured data is the backbone of modern search.
Format affects extraction: tables and bullet points outperform dense paragraphs, with AI and human readers alike.
Our working rule: explicit data points get picked up more reliably than statistics inside narrative, and schema earns its place when it validates, because valid schema tells a machine the page describes itself accurately.
Run every surface from one plan
Running every surface from one framework keeps the cost down and your facts consistent, which is what gives AI models the confidence to cite you. Integrate SEO, GEO, social and website localization into one framework. Repurpose a single research piece into a LinkedIn carousel, YouTube short, and FAQ schema, increasing ROI across channels.
Track new KPIs alongside your conversion tracking: AI citation share, social mentions, and vertical directory referrals. Tools like Semrush now support these metrics, but manual audits remain critical to assess how AI perceives your brand.
The goal: omnipresence. Whether you’re Bemelman Spuiterij in the Netherlands or TX International Freight in the US, consistent, machine-readable authority across all search surfaces is your competitive edge.
Frequently asked questions
How is GEO different from SEO?
SEO ranks pages in Google. GEO ensures AI models cite your brand as the source of truth. GEO prioritises structured data, factual density, and source credibility, where SEO leans on keywords and backlinks.
Will GEO replace SEO?
They coexist. Use SEO for navigational queries, GEO for research-heavy AI interactions. A complete strategy requires both.
How long does it take to appear in ChatGPT or Gemini?
Retrieval-based AI (Perplexity, Google AI Overviews) can pick up new content within days if it’s authoritative, well-structured and crawlable. Static models depend on training cutoffs, but consistent publishing improves inclusion odds.
Can we measure GEO performance?
Yes, via AI citation tracking, hallucination checks, and referral traffic from AI platforms in analytics tools. It’s qualitative but actionable.
Do we need separate GEO and SEO content?
One set of hybrid content serves both: engaging for humans, structured for machines. Use H2/H3 hierarchies, FAQ schema, and data tables to serve both audiences.
Is a search everywhere strategy expensive?
Initial setup requires investment, but repurposing core content across channels lowers cost per lead. Start with high-impact AI and local signals for maximum ROI.
Get cited where your buyers search
Getting cited by ChatGPT in 2026 takes more than traditional SEO: it takes visibility across every surface where buyers search, and trust.
Request a GEO audit to see how AI currently views your brand, and how to become its recommended expert. We combine technical precision with multilingual reach to generate high-ticket B2B leads.
See how our AI consulting works
Still exploring? Read our guide on the future of SEO.
