Engineer the citation.
Then earn the click.

Traditional SEO optimizes web pages to rank in Google's blue-link results. SEO 3.0 optimizes brands, entities, and answer units to be cited inside the AI-generated response that now sits above those blue links — in ChatGPT, Perplexity, Google AI Overviews, Gemini, and Copilot. The query moved inside the model. SEO 3.0 is the engineering discipline of being the source the model trusts enough to quote, by name, before any link is clicked.

GEO is the practice of engineering content, schema, and authority signals so that generative AI search engines (ChatGPT, Perplexity, Gemini, Copilot) cite your brand inside their synthesized answers. Where SEO targets a page rank, GEO targets a citation slot inside the model's response. Tactics include structured answer units, entity-first schema, knowledge-graph presence, expert-author signals, and earned mentions in sources the models index and trust.

AEO is the discipline of owning the synthesized answer inside Google AI Overviews, featured snippets, People-Also-Ask boxes, and Bing's generative results. AEO is GEO's closest cousin, with one key difference: AEO targets retrieval-augmented systems anchored to traditional search indices, where GEO targets pure generative surfaces. We engineer for both because buyers use both.

Signal Engagement Optimization is Tridence's proprietary methodology — the controlled, deliberate feeding of authority and intent signals into the surfaces AI search engines retrieve from and train on. It combines schema engineering, entity-graph hardening, citation-ready content units, intent-data targeting (via our SPEAR engine), earned digital PR, and continuous measurement of citation share. It's the operational discipline behind our SEO 3.0 framework.

Branded-prompt citations (queries that include your company name) typically lift inside 30–60 days as schema and entity work is indexed. Category-level citations (queries that don't mention you by name but should surface you) typically lift inside 90–180 days as authority signals compound and earned PR is ingested. Highly competitive categories take longer; emerging categories move faster.

We pull live citation data monthly across ChatGPT, Perplexity, Gemini, Google AI Overviews, and Copilot for every commercial query in your category. You see citation share, branded-prompt lift, query-level competitive gap, and pipeline-attributed AI-influenced traffic. No vanity metrics, no traffic graphs that don't tie to revenue.

Yes — and we do that too on our SEO hub. The model still leans on traditional search indices for retrieval, and traditional rankings still drive direct clicks for navigational and transactional queries. SEO 3.0 doesn't replace SEO 1.0 or 2.0; it sits on top. Most clients run both as one integrated program.

It's already replacing it for the queries with highest commercial intent: research, comparison, recommendation, and "best/which/how" questions. Navigational queries (going to a known site) and transactional queries (buying a known product) still go through Google directly. The smart move is to win citation in AI search now, while the category is being defined and incumbents haven't yet adapted.

GEO & AEO engagements start at $2,500/month for single-market brands and scale with category competitiveness, content velocity, and the number of AI engines targeted. Most engagements run 6–12 months minimum; citation authority compounds, and the work doesn't pay back inside a single quarter. We're transparent about cost and outcome on the call.

Most agencies retitled their SEO checklist with "AI" in the header and called it a service. We built the methodology before the category had a name, run our own intent-data engine (SPEAR), and report citation share across all five major AI engines monthly. Ask any other agency for last month's citation-share report. If they can't produce one, you have your answer.