How do I get my business recommended by ChatGPT?
Make your brand easy to find, verify, and quote. Concretely: get indexed in Bing (ChatGPT Search draws candidates from Bing's index) and allow OAI-SearchBot in robots.txt; publish pages that directly answer buyer questions with specific facts — pricing, specs, comparisons — in visible text; keep them fast, since ChatGPT's fetcher uses a roughly 2-second timeout; and build third-party presence on the sources ChatGPT trusts most, notably Wikipedia, review platforms, and comparison articles. Referring-domain breadth correlates strongly with ChatGPT citations. None of this is a trick — it is making true information about you abundant and consistent across the web.
A common mistake is optimizing only for Google while ignoring Bing indexing entirely, even though ChatGPT Search draws heavily from Bing's index rather than Google's. A practical check: search your own domain directly in Bing and confirm your key pages appear; sites that rank well on Google but were never submitted to Bing Webmaster Tools are frequently invisible to ChatGPT for that reason alone.
How is optimizing for Perplexity different from ChatGPT?
Perplexity runs its own web index and multi-stage reranking pipeline, and it weights freshness far more heavily — content updated within 30 days shows around 82% citation rates versus 37% for older content in field data. It also leans on Reddit and YouTube for a large share of sources, and niche topical depth beats raw domain authority: most Perplexity-cited pages have fewer than 10 referring domains. ChatGPT, by contrast, correlates with broad authority and leans toward Wikipedia. So Perplexity rewards a steady refresh cadence and community presence; ChatGPT rewards breadth of authority. We run both playbooks and measure each separately.
A practical decision rule: if your audience skews toward research-heavy, technical buyers, prioritize Perplexity's 30-day freshness weighting with a steady refresh cadence; if your audience skews toward broad consumer or B2B shortlist questions, prioritize ChatGPT's preference for Wikipedia-adjacent authority instead. According to citation studies, only around 11% of domains win meaningful visibility on both engines simultaneously.
Why does ChatGPT say wrong things about my company?
Because it synthesizes from whatever it retrieved or learned — outdated pages, old press, a stale directory listing, or a competitor comparison that got details wrong. LLMs also blend similar entities when your brand signals are weak or inconsistent. The fix is not contacting OpenAI; it is correcting the source layer: update and clarify your own pages, fix third-party listings, publish an authoritative facts page, and strengthen entity signals (consistent name, sameAs links, Organization schema) so the model can disambiguate you. We trace misstatements back to their likely source documents and correct them there.
A common mistake is assuming a factual error in an AI answer will fix itself once your own site is updated — models often retain older training data or cached retrieval results well after a page changes. A practical rule: update the source page, then also correct any third-party directory or review-platform listing repeating the same outdated fact, since engines cross-reference multiple sources.
Can you track how often AI assistants mention my brand?
Yes — that is the backbone of the service. We build a library of 25–50 prompts your buyers genuinely ask, split roughly 35% category, 35% comparison, and 30% use-case, then sample each prompt 3–5 times per engine every cycle because answers are non-deterministic. We report mention rate, citation rate (linked vs unlinked), position within the answer, sentiment, and competitor share of voice. Pair that with AI-referral segmentation in analytics and you get the first honest picture of how AI assistants represent your brand — and whether our work is moving it.
A practical decision rule: sample each tracked prompt at least three times per engine before drawing any conclusion about visibility, since a single run can misleadingly show your brand absent or present due to normal answer variance. According to observed patterns, mention rates can swing 40 to 60 percent month to month even with no changes on your end, so short sampling windows mislead easily.
