Most founders are still optimizing for a search world that's already changing. Found is a sharp, no-fluff podcast about getting your business seen, on Google and inside AI answers from ChatGPT, Gemini, and Perplexity.
Each episode breaks down what actually moves the needle in SEO, GEO (generative engine optimization), and AEO (answer engine optimization), in plain language you can act on the same week. No jargon dumps, no vanity metrics. Just what's working now, what's dying, and what to do about it.
Built for founders, operators, and marketers who'd rather grow than guess.
Want to visit our website? Here you go https://search.agency (https://search.agency) ;)
Deep Dive: Augmented Visibility, How AI Recommendations Can Lead to Bad Business
AI assistants now shape which agencies a business owner calls first, and the evidence behind those recommendations is often thinner than it looks. In one March 2026 survey, 51% of B2B buyers said they start software research in an AI chatbot more often than in Google, and 69% chose a different vendor than planned because of chatbot guidance. This episode unpacks augmented visibility, the gap between how prominent a company looks inside AI answers and how much verifiable experience actually sits behind it: how a paid ranking turns into an AI recommendation, what Google AI Mode returned for a GEO agency search in Jakarta, why a strong masthead does not vouch for every page it hosts, why citations make answers feel more trustworthy than they are, how easily one seller-controlled page can move a shortlist, what an AI shortlist cannot tell you about an agency, and the checks to run before you sign.
Read the full article on the Search Agency blog: https://search.agency/blog/augmented-visibility-ai-recommendations (https://search.agency/blog/augmented-visibility-ai-recommendations)
This podcast is hosted by Ridho Putradi S'Gara, founder of Search Agency, the AI Search agency that engineers your brand into the answers AI assistants give your customers.
2 Sept 2026
Deep Dive: How to Audit Your Brand Entity Consistency for AI Search (8-Layer Guide)
Ask ChatGPT who your company is, then put the same question to Gemini and Perplexity. If the three answers disagree about what you do, where you are, or who runs the place, you have an entity consistency problem, and it is costing you visibility in the exact channel your buyers now use to shortlist vendors. This episode covers what a brand entity actually is, why consistency matters far more in AI search than in blue-link search, and the two ways brand entities break, the merge and the split. It walks the eight layers of the audit from locking canonical facts and structured data through off-site profiles, the knowledge graph, separating people from the company, measuring what AI actually says, and building outside sources, including what Search Agency found when it audited its own site.
Read the full article on the Search Agency blog: https://search.agency/blog/brand-entity-consistency-audit (https://search.agency/blog/brand-entity-consistency-audit)
This podcast is hosted by Ridho Putradi S'Gara, founder of Search Agency, the AI Search agency that engineers your brand into the answers AI assistants give your customers.
Note: This episode was generated by Google's NotebookLM based on the original written article from the Search Agency blog.
1 Sept 2026
Deep Dive: How Retrieval-Augmented Generation Works, and What SEO Should Know in 2026
Retrieval-augmented generation, or RAG, lets a language model pull outside documents at the moment of a question and build its answer from them rather than from training data alone. It matters for SEO because almost every AI surface you now compete in runs on it: AI Overviews, AI Mode, ChatGPT search, Perplexity, and Copilot all fetch live pages before they answer. This episode explains what RAG actually is and the two kinds of memory behind it, walks the four-stage pipeline of indexing, retrieval, reranking, and generation, shows why AI search engines are RAG systems that fan one query out into many, and where SEO fits inside the retrieval layer. It covers how embeddings and chunking change what you write, why the unit that gets cited is a passage and not a page, the on-page changes that make content retrievable, and the common mistakes SEOs make with RAG.
Read the full article on the Search Agency blog: https://search.agency/blog/rag-for-seo (https://search.agency/blog/rag-for-seo)
This podcast is hosted by Ridho Putradi S'Gara, founder of Search Agency, the AI Search agency that engineers your brand into the answers AI assistants give your customers.
Note: This episode was generated by Google's NotebookLM based on the original written article from the Search Agency blog.
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