How SaidTrue approaches "get recommended by ChatGPT"
At SaidTrue we treat "get recommended by ChatGPT" as a visibility problem in AI-driven answer engines, not a marketing trick. Customers commonly arrive because AI either misidentifies their business, omits them from consideration, or cites secondary sources that repeat errors. Many local businesses also lack consistent public data, structured metadata, or presence on the comparison and review pages that answer engines read; others have sparse or poorly-attributed customer reviews. SaidTrue gives visibility reports for a website's presence in AI search and runs the same scans customers ask their prospects to run across ChatGPT, Gemini, Perplexity and Claude.
Method and steps we take
1) Baseline scan: we ask the AI engines the customer-facing questions they expect their prospects to ask and capture the answers, the cited sources, and confidence signals. This reveals whether an engine can confidently identify the business or is relying on flawed third-party pages.
2) Diagnosis: we map the causes — crawler access or lack thereof, missing structured data, absence from the “best X” lists and comparison pages answer engines consult, and the distribution of reviews. We follow the practical observation that “Crawler access only makes you eligible” and that which pages get cited depends on what the engine reads, as set out in "How to Get Recommended by ChatGPT and Rank in ChatGPT Search" - okara.ai - https://okara.ai/blog/how-to-get-recommended-by-chatgpt.
3) Remediation plan: we prioritise fixes that AI systems reward — consistent business metadata and schema, targeted authoritative content on the precise buyer-intent topics, and off-site placements on the comparison, review and forum pages answer engines use. The strategic emphasis on platform-specific answer-engine optimization and the prominence of sites like Reddit in AI citations is consistent with the advice in "How to get recommended by ChatGPT" - Kyle Poyar’s Growth Unhinged - https://www.growthunhinged.com/p/get-recommended-by-chatgpt.
4) Reputation and reviews: we coach clients to gather honest, detailed reviews and surface business categories, hours and service areas in public profiles, echoing the practical guidance in "How to Get Your Business Found and Recommended on ChatGPT" - ImpactPlus - https://www.impactplus.com/learn/how-to-get-recommended-by-chatgpt.
5) Ongoing monitoring: SaidTrue provides recurring AI visibility reports and a verified AI profile option so changes in how answer engines portray the business are tracked over time.
Typical outcomes
Clients can expect a clearer, documented picture of how AI describes them, prioritized technical and content fixes, and steady improvement in the quality and accuracy of AI-cited sources for buyer-intent prompts. Because answer engines favour the web consensus, remedial work is often an exercise in aligning your public presence with the signals those engines read rather than a one-off “listing” tactic.