On traditional search: first-page rankings for the important keywords, organic traffic that is growing, and a clearer brand in the results. On AI search: the brand appears in answers to relevant questions, branded search rises, and the content is cited. On local: a visible Maps pack, more calls, direction requests, and profile visits, and reviews that improve in number and quality.
SGEO
SGEOSearch, AI answers, and local discovery in one programme.
SGEO joins traditional SEO, generative engine optimisation, and local SEO, and adds answer-engine and AI-optimisation work. Gartner is cited for traditional search volume falling 25% by 2026 as chat and virtual agents take share. That is the case for doing all three. It is not a forecast for one client.
What changes when the three sit together
One piece of content can be written to rank, to be cited, and to support a local visit. Running the three as separate orders is how strategies collide.
- 01
Rankings and citations
The page still targets keywords, and it is also structured so an AI answer can cite it.
- 02
Links and mentions
Ethical links, directory listings, and unlinked brand mentions. Toxic links are reviewed and disavowed.
- 03
Google, AI tools, and the map
Reporting covers rankings, AI visibility, and local performance, not rankings alone.
- 04
An entity, not only a site
Profiles on Wikidata, Crunchbase, and LinkedIn stay consistent with the site and the Google Business Profile. Author bios, credentials, and awards support E-E-A-T.
Five parts of the same programme
Traditional SEO is the base. Local and generative work sit on it. Answer-engine and AI optimisation are the last two parts.
Traditional SEO
Speed and Core Web Vitals, crawl and index (robots.txt, XML sitemaps, crawl errors), site structure, meta titles and descriptions, heading hierarchy, intent-matched copy, internal links, ethical links, a toxic-link review, and brand mentions.
Local
Google Business Profile, Clutch, Yelp, Trustpilot, Yellow Pages, and other directories. Regional keywords, location pages, a map embed, geotagged images, and geotargeting schema.
Generative
Answer-first paragraphs, FAQs, schema from Organisation and LocalBusiness through FAQ, HowTo, Article, Review, and Video, an LLMs.txt file, and manual checks of conversational queries for citations, sentiment, and share of voice.
Answer engines
Question-led content, FAQs, headings, on-page facts, internal links, and structured data so an answer engine can extract the point.
AI optimisation
Entities, brand facts, and context so AI discovery tools can tell what the business does. A GDPR and privacy check sits with this.
How it runs
Audit, then the three pillars, then the report
The audits come first. Technical, on-page, and authority work run with the local profiles and the AI layer. Reports are usually monthly and can be shaped to what you show the client.
What working looks like
Those are the signs the summary uses. They are not guaranteed positions. AI visibility checks are still partly manual, because the tools are young.
What we do, and what we need from you
We run the programme. You manage the client and the approvals. Delays on approvals delay the implementation.
| Task | Your agency |  |
|---|---|---|
| Tracking, analytics, and the audits, as white-label reports. | ||
| The strategy, including keywords and prompts, then the approved on-page and technical changes. | ||
| The Google Business Profile, the citations, and the content for search, AI, and local. | ||
| Ethical links, schema, and LLMs.txt. | ||
| Monthly white-label reports across rankings, click rate, AI citations, local visibility, and review sentiment, adjusted when algorithms and AI products change. | ||
| What the client should expect on timing and results. | ||
| Access to the site, Google Analytics, and Search Console. | ||
| A final yes on the keywords and prompts. We recommend them. | ||
| A timely yes on on-page recommendations and directory descriptions. |
The three discovery pillars
Traditional search is still keywords and the ten blue links. Generative search is ChatGPT, Google's AI Overviews, and Perplexity, where the user gets an answer instead of a list. Local search is near-me, Maps, and directories such as Yelp and Trustpilot.
Covering one or two of them leaves a gap. SGEO is the single programme across all three, plus answer-engine and AI-optimisation work.
How AI reads a page
Models parse entities and relationships. We use clear headings, lists, tables, and a direct answer at the start of a section, then the detail. FAQs in a conversational form are part of that.
LLMs.txt is treated as an emerging file, like robots.txt for language models, pointing crawlers at the pages that are ready. The summary says the tactics will keep moving.
The parts, if you need them on their own
Frequently asked questions
Search, generative engine, and local optimisation, in one programme, with answer-engine and AI-optimisation work included.
Shall we run SGEO under your name?
You keep the client. We cover search, AI answers, and local discovery, and the monthly report is white-label.