Rank on Google, get cited by ChatGPT, and show up in AI Overviews.
Classic technical + content SEO, plus the two disciplines that now matter as much: Answer Engine Optimisation (AEO) and Generative Engine Optimisation (GEO). Because your buyer is asking Perplexity, not just Google.
Crawl, schema coverage, canonical entity anchors, internal linking, Core Web Vitals. Baseline every category page.
Question-first H2 pattern, direct-answer intros, FAQ + HowTo schema, citation-ready statistics blocks. Editorial retrained on the pattern.
Brand entity graph tied to Wikidata, product knowledge panels, consistent NAP across regional properties, structured attribution to sources LLMs trust.
Weekly prompts to Perplexity, ChatGPT, Gemini and Google AI Overviews on 100+ category queries. Baseline vs lift measured monthly.
Query-level movement across classic SERPs and AI surfaces. Editorial calendar updated with the queries you're closest to owning.
4-week fixed-scope audit. Includes AEO/GEO baseline and a 12-week action plan.
Monthly. Editorial ops, schema shipping, LLM citation tracking, quarterly readout.
A 10-point scorecard we run on every AEO/GEO engagement - half for answer engines (ChatGPT, Perplexity), half for generative results (Google AI Overviews, Gemini). Sample findings and next steps below.
Whether AI assistants cite you when a buyer asks about your category.
| Check | Status | Sample finding | Recommended next step |
|---|---|---|---|
| Cited in ChatGPT for brand + category query | Red | Zero citations across 20 seed prompts. Competitors appear in 12. | Publish 6 comparison + definition pages with schema markup + author bios. |
| Perplexity source attribution | Yellow | Cited on 4/20 prompts, always below fold. | Rewrite intros as direct-answer paragraphs (40–60 words) with named entities in H2s. |
| FAQPage / HowTo / Article schema coverage | Yellow | 38% of eligible pages emit valid schema. | Roll out FAQPage + Article schema across the 120-page money set inside sprint 1. |
| llms.txt + robots.txt allow for GPTBot / PerplexityBot | Green | All AI crawlers whitelisted. llms.txt present at root. | Maintain - review quarterly as new crawlers ship. |
| Entity consistency (Wikidata, Crunchbase, LinkedIn) | Red | Brand entity missing from Wikidata. 3 conflicting founding dates across sources. | File Wikidata entry + reconcile founding date, HQ, leadership across 6 anchor sources. |
Whether generative search results surface, summarise and link your pages.
| Check | Status | Sample finding | Recommended next step |
|---|---|---|---|
| AI Overview presence · commercial queries | Red | 0/15 target queries surface the brand in Google AI Overviews. | Rewrite top-10 landing pages with passage-ready sections + inline citations to primary research. |
| Passage retrieval readiness (semantic chunks) | Yellow | Average H2 spacing 900+ words. Chunks too dense for retrieval. | Restructure long-form to 200–300 word semantic chunks anchored by descriptive H2/H3s. |
| Original data / primary research assets | Red | No proprietary datasets. All citations point to third parties. | Ship 2 original benchmarks per quarter. AI overviews reward primary sources. |
| Author E-E-A-T signals | Yellow | 40% of articles have byline + bio. 0% link to author schema. | Add Person schema + credential links (LinkedIn, publications) to every author. |
| Freshness signal · dateModified | Green | dateModified emitted correctly on 96% of URLs. | Maintain. Run quarterly refresh on top-20 traffic pages. |
Baseline 20 seed prompts across ChatGPT, Perplexity and Google AI Overviews. Log citations, competitors, and answer shape.
Ship schema markup, llms.txt, and passage-ready rewrites on the top-20 money pages. Reconcile brand entity across Wikidata + anchor sources.
Publish 2 original datasets + 6 comparison pages. Track citation share monthly and rebalance against the GYR scorecard.
Findings illustrative · client data anonymised
Organic traffic plateaued. Invisible in ChatGPT, Perplexity and Google AI Overviews for the client's own category terms.
Full technical + entity audit. AEO content system rolled out across 1,200 URLs - question-first H2s, FAQ / HowTo schema, citation-ready statistics blocks. GEO entity graph tied to Wikidata. Custom LLM citation tracker on 120 category queries.
AI-cited mentions grew 68% quarter-on-quarter. Organic sessions returned to growth. Sales team started hearing 'I found you via ChatGPT' in discovery calls.
Camdew uses SEO, AEO, and GEO strategies to improve how businesses appear across search engines and AI-powered discovery platforms, helping brands reach relevant audiences and build stronger digital visibility.
Poor visibility can come from gaps in content, search optimization, or how your website is understood by modern search systems. Camdew uses SEO, AEO, and GEO strategies to improve discoverability across evolving search landscapes.
Camdew develops AEO and GEO-optimized content strategies designed for modern search and AI discovery. The approach helps businesses structure relevant content so their expertise and solutions are easier for AI systems to understand.
Yes. SEO remains important, while AEO and GEO extend search optimization into AI-driven discovery. Camdew combines these approaches to help businesses maintain visibility as people increasingly use both traditional and AI-powered search.
SEO improves traditional search visibility, while AEO and GEO focus on answer engines and generative search. Camdew combines all three into a modern content strategy designed to help brands dominate evolving search landscapes.