How AdvisoryAI achieved 100% year-on-year demo growth with SEO and AI search

Discovered Labs measures Google rankings, AI citations and the commercial outcome separately, then uses the evidence to choose the next content, off-page or technical action.

The methodology follows the pipeline end to end: what the buyer asks, whether the brand is remembered, what the engine can retrieve, which sources it selects, what answer it gives and whether the interaction reaches a commercial outcome. The four pillars of AI visibility measurement make those stages visible. Each stage can move on a different clock, so the measures stay separate.

1. Start with the commercial question and the pages or buyer questions that matter.
2. Measure Google visibility and AI citations against a defined scope and date.
3. Separate a change in the instrument from a change in the underlying visibility.
4. Turn the observation into a content, off-page or technical question.
5. Remeasure after the work and review the result with the team.

For AdvisoryAI, the output was a bounded next step for one of the four activities, followed by comparable remeasurement. That made the work easier to review and gave the team a shared view of progress.

Content optimization and on-page SEO start with the buyer question and the page that should answer it. The decision is whether to refresh an existing page, create a genuinely missing page or gather more evidence.

1. Map the commercial question to an existing page or a real content gap.
2. Create a focused page when no existing page can do the job.
3. Review clarity, structure, relevance and usefulness for Google and AI answers.
4. Choose one action and brief the exact change.
5. Publish, then check search visibility separately from the content decision.

For a financial planning software company, that means making the product, adviser use case, category and supporting evidence unambiguous before asking Google or an AI system to interpret the page.

Discovered Labs' CITABLE framework gives that review a shared standard: clear company and product entities, category and intent architecture, third-party validation, answer grounding, block-structured passages, current facts and entity relationships.

Discovered Labs uses three routes to build relevant presence beyond the website: targeted link building, Reddit marketing and original research.

Targeted link building earns references from sites that matter to the category. Reddit marketing puts the company into real adviser and financial-planning conversations. Original research gives publishers and operators a reason to cite the company. The approach is informed by Discovered Labs' research into how AI systems retrieve and cite Reddit content. Together, these routes create consistent associations between the brand, its category and the problems it solves.

1. Find the source or conversation connected to a priority buyer question.
2. Check whether the company is absent, inaccurate, outdated or already represented well.
3. Choose the route: contribute something useful, build a relevant link or publish research worth citing.
4. Take the action and record what changed.

Discovered Labs' Own / Claim / Earn / Contest (OCEC) framework maps the source relationship to the action available: improve what you own, maintain what you can claim, earn useful coverage or contribute where the source sits outside your control.

Most technical SEO work stops at an Ahrefs crawl followed by a color-coded spreadsheet. The client receives a list of fixes and an implementation project. Discovered Labs runs technical SEO as an engineering workstream: embedded engineers prioritize the issues that affect performance, indexability and crawlability, then fix them. When the change belongs in the client's codebase, the team can prepare a pull request for the client's engineers to review and merge.

1. Prioritize issues by their effect on performance, indexability and crawlability.
2. Implement the fixes that matter, with engineering involved in the change.
3. Verify the affected page and the original technical issue after implementation.

Performance affects whether a buyer can use the page. Indexability affects whether Google can include it. Crawlability affects whether search systems can reach it. The goal is to remove those barriers on commercially important pages, rather than chase a higher audit score.