--- title: "AI Search Visibility Service: Get Cited by ChatGPT" description: "An AI search visibility service bundled with PR: entity fixes, founder pages, tier-1 coverage as citation fuel and weekly ChatGPT and Perplexity tracking." author: "Shilika Jain" date: "2026-10-01T06:09:36.101+00:00" tags: ["ai search", "geo", "aeo", "ai startup pr", "fractional pr"] canonical: "https://www.shilikajain.com/blog/ai-search-visibility-service-for-founders" --- # AI Search Visibility Service: Get Cited by ChatGPT By [Shilika Jain](https://www.shilikajain.com/authors/shilika-jain) - 10/1/2026 An AI search visibility service bundled with PR: entity fixes, founder pages, tier-1 coverage as citation fuel and weekly ChatGPT and Perplexity tracking. --- # AI Search Visibility Service: Get Cited by ChatGPT An AI search visibility service gets your startup named and cited when buyers ask ChatGPT, Perplexity, Claude, Gemini or Google's AI Overviews about your category. I run it as part of a PR engagement, not as a separate SEO product: entity cleanup, author and founder pages, earned coverage in the publications those models already trust, and weekly tracking of which prompts cite you. It sits inside my fractional retainer of $5K to $12K a month, because the coverage is the thing that moves the citations. If you only buy one idea from this page, buy this one. AI assistants cite what credible third parties say about you far more readily than what you say about yourself. ## Why AI search visibility is a PR problem first Most AEO and GEO offers I see are on-page work: schema, FAQ blocks, llms.txt, rewriting headings as questions. All useful. None of it is enough on its own. When a model answers "what are the best agent payment rails" or "which DePIN compute networks are credible," it leans on sources it treats as authoritative: tier-1 trade press, well-linked explainers, structured profiles, and pages that many other pages agree with. Your own site is one vote. A Forbes feature, a CoinDesk opinion piece and a Decrypt deep-dive that all describe you the same way are three more, and they carry more weight. That's why I bundle the work. The [PR that earns coverage](/blog/why-pr-drives-ai-search-citations) and the technical work that makes the coverage legible to models should be run by the same person, against the same narrative. ## What the service includes Four workstreams, run in parallel from week one. ### 1. Entity work Models need to resolve "you" as one consistent thing. If your company name, category description and founder bios differ across your site, Crunchbase, LinkedIn, GitHub, X and press coverage, the model hedges or skips you. - [ ] Audit every public profile for name, category line, founding date and founder titles - [ ] Write one canonical category sentence and push it everywhere you control - [ ] Add Organization and Person schema with sameAs links to every verified profile - [ ] Fix the glossary and About page so a model can quote one clean definition of what you do - [ ] Publish an llms.txt and a clean markdown route for your key pages ### 2. Author and founder pages E-E-A-T is not a Google-only idea anymore. A founder with a real author page, a consistent bio and a trail of bylines gets quoted. A founder with a two-line LinkedIn and nothing else does not. I build or rewrite the founder's author page, connect it to bylined work, and make sure every op-ed, podcast and interview links back to it. This overlaps with my [founder profiling work](/services/founder-profiling), and on most engagements the two run together. ### 3. Earned coverage as citation fuel This is the bulk of the effort and the reason the service lives inside PR. I pitch features, opinion pieces, data stories and founder interviews into the outlets models already pull from in your category: Forbes, CoinDesk, Cointelegraph, Decrypt, The Block, Blockworks, Bitcoin Magazine and AI Magazine, depending on fit. Every pitch is written with the citation in mind. That means one repeatable category phrase, a quotable definition, and a number or claim that a model can lift verbatim. ### 4. Weekly AI-citation tracking You can't manage what you don't measure. I keep a fixed prompt set for your category and run it across the main assistants every week. ## How the weekly tracking works The prompt set is built in week one with you. It usually has 20 to 40 prompts across three types: category prompts ("best X for Y"), comparison prompts ("you vs competitor"), and problem prompts (the question a buyer asks before they know your category exists). | Prompt type | Example (illustrative) | What we track | |---|---|---| | Category | "Which decentralized compute networks are production-ready?" | Are you named, in what position, with which description | | Comparison | "How does [you] compare to [competitor]?" | Accuracy of the answer, which sources are cited | | Problem | "How do I give an AI agent a wallet?" | Whether your category or product enters the answer at all | | Founder | "Who are credible voices on agent payments?" | Whether the founder is named and linked | | Brand check | "What is [you]?" | Factual accuracy, outdated claims, wrong category | Each week you get a short report: which prompts cite you, which sources the model leaned on, which competitors appear instead, and what we're doing about the gaps. When a model keeps citing one competitor's explainer, that tells me exactly which outlet or format to target next. ## Proof that category framing travels into AI answers I can't show you a dashboard from a client's private account, and I won't invent one. What I can show is the kind of coverage pattern that feeds models a clean, repeatable description. [Gaia](/work/gaia-ai), a decentralized AI project, was positioned as "the Stripe for AI agents" through a Forbes feature, a Decrypt deep-dive, Benzinga, and a six-podcast founder tour timed to Consensus Hong Kong. One phrase, repeated by independent sources. That's what a model wants to quote. [Fluence](/work/fluence) is the other pattern I point to. The work made DePIN a beat for tier-1 reporters and anchored Tom Trowbridge as the category voice across CoinDesk opinion, Cointelegraph's "Hashing It Out" and Bitcoin Magazine NL, plus Decrypt, Benzinga and e27. When an assistant reaches for "who explains DePIN compute," a founder with that footprint is an easy answer. Neither engagement was sold as AEO at the time. Both show why I don't treat AI search as a separate discipline from earned media. ## What it costs and how it's packaged There's no standalone AEO line item. The work runs inside one of my existing engagements. | Engagement | Price | Where AI visibility fits | |---|---|---| | AI startup PR or Web3 PR retainer | $5K to $12K per month, 3 to 12 months | Full four-workstream program, weekly tracking | | Launch sprint | $15K to $40K total, 4 to 8 weeks | Entity cleanup and citation-ready launch coverage, baseline and post-launch tracking | | AI startup founder profiling sprint | $12K to $25K over 90 days | Author page, bylines and podcasts built for founder citations | | Op-Ed of the Month | $2,500 per month, 3-month minimum | One tier-1 byline a month that feeds the founder entity | For comparison, traditional AI-PR agencies commonly charge $20K to $50K a month, and many still treat AI search as an upsell from a separate team. With me it's the same operator writing the pitch and checking the prompt report. If you want to see how this compares to a dedicated agency offer, my [AI search visibility agency page](/pages/ai-search-visibility-agency) lays out the scope side by side. Crypto teams should read the [GEO and AEO page for crypto](/pages/geo-aeo-agency-crypto), since token projects have extra entity problems (ticker collisions, multiple foundations, renamed chains). ## The first 30 days - [ ] Week 1: prompt set agreed, baseline run across ChatGPT, Perplexity, Claude, Gemini and AI Overviews - [ ] Week 1: entity audit across site, Crunchbase, LinkedIn, GitHub, X and existing coverage - [ ] Week 2: canonical category sentence and founder bio signed off - [ ] Week 2: schema, sameAs links, llms.txt and author page changes shipped by your team with my specs - [ ] Week 3: first pitches out, each built around the category phrase - [ ] Week 3: one bylined piece drafted for the founder - [ ] Week 4: first comparison report against baseline, gap list ranked by effort and impact Coverage takes weeks to land and models take time to pick it up. I tell every founder to judge the program at 90 days, not 30. ## Who this is for, and who it isn't It fits if: - You're an AI, Web3 or cybersecurity company with a real product and a category buyers already search for - Competitors show up in AI answers and you don't, or you show up with an outdated description - You have a founder willing to put their name on opinions and do interviews - You can ship small site changes within a week or two It doesn't fit if: - You want guaranteed citations. Nobody controls model outputs, and anyone promising placement in ChatGPT answers is guessing - You're pre-product with nothing a reporter can verify - You want pure technical SEO with no PR. Hire an SEO specialist; it's cheaper ## Common objections **"Can't we just do the schema and llms.txt ourselves?"** Yes, and you should. The [GEO checklist](/blog/geo-checklist-get-cited-by-chatgpt-perplexity) and the [free AI search checklist PDF](/resources/geo-ai-search-checklist.pdf) cover that part. What you can't do yourself is earn the third-party sources the models weigh most. **"How fast will we see results?"** Entity fixes can change brand-check answers within weeks. Category and comparison prompts move slower, usually after a few pieces of tier-1 coverage have been live long enough to be crawled and referenced. **"Is this just SEO with a new name?"** Partly. The on-page half overlaps with SEO. The other half is media relations, and that's the half most SEO shops don't do. The founders who win AI answers in 2026 won't be the ones with the cleverest schema. They'll be the ones a dozen credible sources describe in the same sentence. *Want to see where you show up in AI answers today? [Book a 30-minute teardown](/contact) and I'll run a sample of your category prompts live.* --- **Book an AI visibility teardown with Shilika** - https://calendly.com/shilikajain/30min/ Canonical: https://www.shilikajain.com/blog/ai-search-visibility-service-for-founders