AI Search Discovery in 2026: A Field Guide for Growth Teams


Executive Summary

Across Google, ChatGPT, Gemini, Copilot, Perplexity, how discovery works now, and what to do next. Search is now multi-surface. The same query can return: (1) an AI summary in the SERP, (2) a guided chat, or (3) an assistant answer with citations that never hits your site. Google treats AI Overviews and AI Mode as core features and says more in-line source links are coming.


Comparison Chart
Surface What users want What winning looks like What to focus on
Google Search
(AI Overviews / AI Mode)
Fast synthesis + follow-ups Be cited; earn clicks when depth is needed Clear entities, structured answers, trusted sources, clean page UX
ChatGPT Search One best answer with sources Appear in “Sources” / cited refs Authoritative pages, quotable definitions, stable URLs, credible citations
Gemini Help inside Google’s world Be discoverable via linked sources and double-check flows Claims that survive verification; consistent facts
Microsoft Copilot
(Bing / Edge)
Conversational search + browsing help Be one of the clickable sources inside answers Publisher trust, topic authority, structured content
Perplexity Research + comparison with citations Be a numbered citation people open Dense references, clear sections, primary/secondary sources

Google: AI Overviews + AI Mode

What it is. Google moved from “results” to “responses,” with links still in the flow. Search Central covers AI features and your website. Google also says AI Mode will show more in-line source links.

How it behaves.

  • AI Overviews: answers up top; users click only when needed.

  • AI Mode: answer → follow-ups → deeper exploration with links. Reuters reported tests of an “AI-only” layout with an AI response and source links.

What “visibility” means.

  • Inclusion: your page is used as source material.

  • Attribution: your brand or page is linked or named.

  • Click capture: people visit when they need proof, examples, tools, or depth.

What to do.

  1. Add answer-first sections to high-intent pages.

  2. Create citable chunks: definitions, tables, checklists, step sequences.

  3. Keep entities consistent: names, categories, claims.

  4. Treat citations as a KPI.

Resources: Google Search Central (AI features and your website). The Keyword (more source links in AI Mode responses).


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ChatGPT Search: an answer engine with sources

What it is. ChatGPT can search and add inline citations, plus a Sources area with links. OpenAI’s docs explain how users open sources; the product post points to the Sources sidebar.

Where it shows up in B2B.

  • Problem framing ("What causes X?")

  • Vendor shortlists ("Top tools for Y, pros/cons")

  • Internal enablement (policies, RFPs, comparisons)

How to get “picked.”

  • You’re not “ranking;” you’re being selected as a source.

  • Strong pages act as reference objects: stable URLs, clear sections, quotable definitions, and citations to primary sources.

What to do.

  1. Publish reference pages that are safe to cite. Make claims testable.

  2. Use named entities: category, standards, integrations, compliance terms, competitor categories.

  3. Earn corroboration from reputable third parties.

Resources: OpenAI Help (ChatGPT search). OpenAI (Introducing ChatGPT search).



Gemini: assistant behavior in Google’s world

What it is.
Gemini lives close to Google’s products. Users can double-check responses by marking statements and jumping to similar or different content in Search. Model upgrades flow into Search features, blurring “search vs. assistant.”

What to do.

  1. Make claims easy to verify: dates, definitions, constraints, links to standards.

  2. Avoid fragile assertions that read like sales copy.

  3. Own your category glossary with consistent definitions.

Resource: Google Gemini Help (Double-check responses from Gemini Apps).



Microsoft Copilot: generative search + browsing

What it is.
Copilot combines chat, search, and browsing. Reuters covered “Copilot Mode” in Edge for topic-based queries and tab comparisons. Microsoft says answers include clickable sources and give users more control and clarity.

What to do.

  1. Strengthen proof pages: docs, security, implementation guides, integration refs.

  2. Write comparison-ready content: constraints, use cases, trade-offs.

  3. Be citation-ready: short sections with descriptive headings.

Resources: Microsoft (Bringing the best of AI search to Copilot). Microsoft Bing (Copilot Search).



Perplexity: research-first answers with citations

What it is.
Perplexity frames answers around citations; numbered references link to original sources.

Risk to watch.
Publishers are challenging its content use. Axios reported a lawsuit from the Chicago Tribune against Perplexity. Policy shifts could affect how it indexes and cites.

What to do.

  1. Publish dense value pages: benchmarks, teardown guides, playbooks, step-by-steps.

  2. Cite primary sources (standards bodies, vendor docs, peer-reviewed work).

  3. Build source gravity: original data and frameworks others reference.

Resource: Perplexity Help (How does Perplexity work?).



Treat AI search as “citation → click → conversion”

AI visibility sits upstream of traffic. Your site still matters because conversion happens on the click. The job:

  1. Get selected and cited in AI experiences

  2. Earn the click when people need depth, proof, or tooling

  3. Convert with clear next steps



The 5 assets that work across engines

  1. Reference pages: definitions, category explainers, standards, “what good looks like”

  2. Proof pages: security, compliance, customer stories, ROI logic, integration docs

  3. Process pages: implementation guides, checklists, migration steps

  4. Decision pages: comparisons, “best for” matrices, pricing logic, procurement enablement

  5. Original signal: benchmarks, research, data, and frameworks others cite



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Notes for CMOs

1) Revenue
Top-of-funnel clicks will shrink. Shift the plan toward pages that win evaluation clicks: proof, decisions, implementation.

2) Resourcing
Reallocate budget from volume to a small set of strong reference objects you’ll keep fresh for 18–24 months. Review quarterly.

3) Risk
Assistants repeat mistakes at scale. Set rules for claims and facts, review high-traffic pages on a schedule, and fix weak statements. Gemini’s double-check punishes sloppy copy.

4) Measurement
Create an AI assistants channel in GA4 (custom channel groups). Track assistant referrals next to other channels.

5) Competitive reality
You’re not just up against one competitor. You’re up against the most citable page in your category.



A 30-day sprint to map your AI search footprint

Week 1: Build the query set

  • 30 category queries (problem, category, alternatives)

  • 30 brand queries (brand + “pricing,” “reviews,” “integration,” “security”)

  • 30 competitor queries

Week 2: Run a citation audit across engines

  • For each query: who gets cited, which pages, which claims

Week 3: Patch the gaps

  • Create/upgrade 3 reference pages + 3 proof pages

  • Add answer-first sections and primary-source citations

Week 4: Instrument measurement + reporting

  • GA4 custom channel group for AI assistants

  • Monthly “AI citation review” and page refresh cadence



Steps you can take now:

To roll this out fast, build a one-page AI Search Scorecard (queries, citations, your pages, competitor pages, gaps, fixes). Review it monthly for six months. That becomes your internal map for GEO, AEO, and AI SEO priorities.


Last updated 01-03-2026

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Thought Leadership that Earns Citations in Generative Answers