Rank in ChatGPT answers and get mentioned by ChatGPT when prospects ask buying questions.

Rank in ChatGPT by feeding it experience, not fluff. We ingest CDN logs, isolate ChatGPTBot, and tag every weird hit so we know what the model actually reads. Half the time it scrapes your docs API instead of the marketing site, so we rebuild the assets that the logs prove it loves.

We was auditing a climate SaaS last month and saw ChatGPTBot looting their whitepaper endpoints without ever touching the hero pages. That told us the crawler trusted structured, technical copy. We pivoted the roadmap toward modular research hubs, rewired the navigation, and the next prompt test finally got mentioned by ChatGPT because the transcript referenced those new hubs.

Once the telemetry sits in BigQuery, we attach prompts to journeys. If we’re not ranking in ChatGPT for “best ESG audit toolkit,” we look at what the bot consumed, fix the gaps, ship schema, and re-test. There’s no guesswork—just repeatable diagnostics.

You get mentioned by ChatGPT when your copy sounds like an SME took handwritten notes during implementation. We archive support chats, run mini interviews, and weave those quotes into the UX. Instead of marketing fluff, visitors and bots read practical steps, pitfalls, and evidence.

We add inline data tables, process diagrams, and annotated screenshots. ChatGPT loves structured info, so we turn testimonials into stat blocks, add timestamped captions to videos, and make sure the HTML is squeaky clean. The writing stay casual—sometimes we intentionally leave a sentence fragment so the human readers feel us—but the substance is expert-grade.

Schema, downloadable assets, and documentation all get cross-linked. That keeps ChatGPTBot exploring deeper, which increases the odds you rank in ChatGPT for multiple prompt variations.

We run “Conversation Control Rooms” inside Notion. Every week we log new prompts, share-of-voice graphs, and screenshots of answers where you do or don’t appear. Sales can grab snippets for outreach. Product hears about friction. Marketing gets ready-made social proof.

Executives don’t care about model weights—they care about revenue. So we map each “rank in ChatGPT” objective to funnel metrics. If the prompt is BOFU, we track demo requests tied to that landing page. If it’s TOFU, we track newsletter signups or partner referrals. Reporting feels messy sometimes, but clients prefer real talk over sanitized decks.

We also document the misses. When ChatGPT misquotes you or hallucinate pricing, we file it under “cleanup” and fix the source content immediately.

Once the initial overhaul lands, we keep shipping. Topic sprints, SME interviews, and support doc cleanups rotate weekly. We keep a backlog of “rank in ChatGPT” ideas and score them based on log depth, conversion value, and effort.

Writers, designers, and SEOs pair during working sessions to keep the tone conversational. Some sentences are intentionally imperfect because perfect grammar isn’t what wins conversational search. Still, every asset passes a factual QA before it ships.

After publish, we re-run prompts, track citations, and update our log dashboard. Anything that doesn’t move the needle gets reworked fast. No sacred cows.