WEBVTT 00:00:01.400 --> 00:00:03.199 Your buyers stopped Googling. 00:00:03.259 --> 00:00:11.727 They are asking ChatGPT, Gemini, Claude and Perplexity "who should I use for this", and they are acting on whatever those models say. 00:00:11.787 --> 00:00:16.151 If the models do not name you, you do not exist in that conversation. 00:00:16.761 --> 00:00:25.385 In the next seven minutes I am going to show you the exact system we use to get B2B SaaS companies cited in those answers. Every step. 00:00:25.445 --> 00:00:30.311 I am holding back precisely one thing, and I will tell you when I get to it. 00:00:31.821 --> 00:00:35.595 Search did not die. It moved. It moved inside the model. 00:00:35.655 --> 00:00:41.483 And the content that ranked on Google for the last decade is the wrong shape for this. 00:00:41.543 --> 00:00:44.359 Google rewarded long, keyword-dense pages. 00:00:44.419 --> 00:00:46.619 The models reward something else. 00:00:46.679 --> 00:00:53.260 A clear question, a direct answer, and machine-readable structure that proves you are the source. 00:00:54.120 --> 00:01:00.933 Most SaaS blogs fail the same three checks. No answer-first structure. No schema. No entity coverage. 00:01:00.993 --> 00:01:04.744 So the model reads them, shrugs, and cites someone else. 00:01:05.504 --> 00:01:07.958 So the job is not to write more blogs. 00:01:08.018 --> 00:01:14.377 The job is to build a production system that manufactures content the models can cite, on repeat. 00:01:14.437 --> 00:01:16.494 Here is that system, end to end. 00:01:17.904 --> 00:01:22.396 I am going to walk you through all eight steps we run for every single piece. 00:01:22.456 --> 00:01:24.642 This is the real method, not a teaser. 00:01:24.702 --> 00:01:28.662 If you want to build it yourself, you will leave with the blueprint. 00:01:28.722 --> 00:01:36.051 At the very end I will show you the one component I am not going to hand over, and I will be straight about why. Let's build. 00:01:37.561 --> 00:01:40.681 Step one. Find the questions buyers actually ask AI. 00:01:40.741 --> 00:01:42.516 We do not start with keywords. 00:01:42.576 --> 00:01:48.510 We start with the questions a buyer types into an AI assistant when they are looking for a vendor. 00:01:48.570 --> 00:01:58.112 We pull real search demand, expand it, and specifically hunt the queries that already trigger AI answers, because those are the 00:01:58.872 --> 00:02:03.611 The mistake here: targeting head keywords instead of the buying questions. 00:02:03.671 --> 00:02:06.335 The models answer questions, not keywords. 00:02:07.545 --> 00:02:10.034 Step two. Research the answer properly. 00:02:10.094 --> 00:02:12.844 Every piece is built on a research dossier. 00:02:12.904 --> 00:02:20.294 Fifteen to twenty hard data points, each tied to a specific, verifiable source. Not a root domain. The exact page. 00:02:20.354 --> 00:02:26.110 The models reward content that is grounded in checkable facts, and they punish vagueness. 00:02:26.870 --> 00:02:28.705 The mistake: writing from memory. 00:02:28.765 --> 00:02:32.897 Ungrounded content does not get cited, and increasingly it gets filtered. 00:02:34.107 --> 00:02:36.323 Step three. Write it answer-first. 00:02:36.383 --> 00:02:41.075 Now we write, and the structure is everything. Question as the heading. 00:02:41.135 --> 00:02:44.622 A direct, complete answer in the first two sentences. 00:02:44.682 --> 00:02:48.571 Then the depth underneath, for the human who keeps reading. 00:02:48.631 --> 00:02:52.855 The model can lift that answer cleanly, and attribute it to you. 00:02:53.615 --> 00:02:57.917 The mistake: burying the answer in paragraph six. The model never gets there. 00:02:59.127 --> 00:03:01.215 Step four. Make it citation-ready. 00:03:01.275 --> 00:03:06.079 This is the step almost nobody does, and it is the one that moves the needle. 00:03:06.139 --> 00:03:08.985 We mark the page up so machines understand it. 00:03:09.045 --> 00:03:16.944 F A Q schema, article schema, the entities and relationships that tell the model what this page is about and who published it. 00:03:17.004 --> 00:03:23.387 This is the difference between content a model can read, and content a model can cite with confidence. 00:03:24.147 --> 00:03:26.444 The mistake: shipping naked HTML. 00:03:26.504 --> 00:03:29.657 To a model, unstructured content is a rumour. 00:03:29.717 --> 00:03:31.871 Structured content is a source. 00:03:33.081 --> 00:03:35.379 Step five. Visuals that carry meaning. 00:03:35.439 --> 00:03:44.750 On-brand imagery, and at least one infographic that encodes a real data point, because structured visuals get pulled into answers, 00:03:45.610 --> 00:03:48.874 Step six. Publish, and architect the internal links. 00:03:48.934 --> 00:03:55.394 We publish, then we wire the page into a deliberate internal link structure. Not random related posts. 00:03:55.454 --> 00:04:03.000 A topical map that tells search engines and models that we have authority across the whole subject, not one lucky page. 00:04:03.760 --> 00:04:07.102 The mistake: orphan pages. One page is an opinion. 00:04:07.162 --> 00:04:09.551 A connected cluster is an authority. 00:04:10.761 --> 00:04:19.076 Step seven. Verify everything. Did the schema validate. Did the images load. Did the links resolve. Did it publish clean. 00:04:19.136 --> 00:04:22.952 Every piece passes a checklist before it counts as done. 00:04:23.812 --> 00:04:27.235 Step eight. Measure whether the models actually cite you. 00:04:27.295 --> 00:04:32.551 And here is the step that turns this from content marketing into an engine. We measure. 00:04:32.611 --> 00:04:42.756 We ask the four major models the buyer's questions, and we count how often they name you versus your competitors. We call it Share 00:04:42.816 --> 00:04:44.467 It is a number that goes up. 00:04:46.127 --> 00:04:48.413 So that is the method. Eight steps. 00:04:48.473 --> 00:04:50.289 And here is my promise kept. 00:04:50.349 --> 00:04:52.702 I am not going to show you the glue. 00:04:54.062 --> 00:04:57.278 Because any one of those steps, you can do by hand. 00:04:57.338 --> 00:04:59.976 You could research a piece this afternoon. 00:05:00.036 --> 00:05:02.353 You could mark up one page this week. 00:05:02.413 --> 00:05:10.062 The hard part, the part that took us dozens of builds and a lot of broken attempts to get right, is not any single step. 00:05:10.122 --> 00:05:12.053 It is what holds them together. 00:05:12.913 --> 00:05:23.648 It is the orchestration that runs all eight in the right order, every day, with a quality gate between each one, so a mistake in step 00:05:23.708 --> 00:05:30.603 It is the ruleset, earned the hard way, that stops the system shipping garbage when you are not watching. 00:05:30.663 --> 00:05:39.080 And it is the measurement loop that feeds Share of Model back into what we produce next, so the engine gets smarter every cycle. 00:05:40.140 --> 00:05:44.401 That wiring is the engine. The eight steps are just parts on a bench. 00:05:44.461 --> 00:05:51.854 I have given you the parts on purpose, because honestly, some of you should build this yourself, and now you can start. 00:05:51.914 --> 00:06:00.873 But if you do, go in with your eyes open about what it actually takes to run it daily, without it falling over, and without it eating 00:06:02.433 --> 00:06:04.604 So you are at a fork. Two roads. 00:06:04.664 --> 00:06:08.229 Road one: take this blueprint and build it yourself. 00:06:08.289 --> 00:06:11.854 That is a real, respectable choice, and I mean that. 00:06:11.914 --> 00:06:24.890 Road two: if you would rather have the whole engine installed and running, measured, hands- off, so you get the citations without losing 00:06:25.950 --> 00:06:28.018 You have already seen where you stand. 00:06:28.078 --> 00:06:33.561 Your readiness score told you which of these eight steps you are strong on, and where the gaps are. 00:06:33.621 --> 00:06:41.177 If the gaps are wide, and you would rather reclaim the hours than spend the next two quarters building this, book a Growth Mapping 00:06:41.237 --> 00:06:46.160 We will map your binding constraint, and show you exactly what your engine would produce. 00:06:46.220 --> 00:06:48.120 The link is right below this video. 00:06:49.380 --> 00:06:52.011 Either way, you now have the map. Go get cited.