Do we need a new website?

No. Most SMEs get results by improving clarity on key pages, adding visible proof, and publishing a minimal, correct layer of structured data.

Will this help local search?

Yes. Clear services, consistent details and basic schema help both people and machines match you to local intent.

How do we keep momentum?

Run a 10-minute monthly check on proof coverage and a quarterly tidy-up of pages, schema and prompt notes.

90 Day Roadmap – Brand Strategy AI

Roadmaps: 90-Day Brand Modernisation for AI Search

A focused three-month plan to make your site clear, credible and easy for AI to quote—without a rebuild.

Executive summary

Search is moving from lists of links to AI-written answers. Google’s AI Overviews expanded globally in 2024/25, with Google publicly targeting hundreds of millions of users initially and over a billion within the year. That shift means your brand is discovered less through blue links and more through summarised answers with citations. To be included—and trusted—you need pages that are clear for people, citable for machines, and easy to verify. blog.google+1

This 90-day plan shows a small team how to modernise—without a rebuild. You’ll align strategy, messaging and content operations to the way answer engines work: plain English definitions, visible proof, and a light, correct structured data layer (JSON-LD) that helps systems recognise who you are and what your pages cover. The approach pairs Google’s people-first guidance with practical brand research (Aaker, Keller) so pages are authoritative and quotable. SAGE Journals+3Google for Developers+3Google for Developers+3

1. What changed (and why it matters)

Answers first: AI Overviews rollouts placed machine-generated summaries at the top of more results. When the answer appears first, inclusion and citation beat rank position. blog.google+1
Citations as visibility: Several answer experiences surface sources inline. If your page is clear, specific, and verifiable, it’s safer to quote.
Quality still rules: Google continues to emphasise helpful, reliable, people-first content and signals aligned with E-E-A-T (covered in Search Quality Rater Guidelines). That means authorship, date, method and sources matter. Google for Developers+1
Structure reduces ambiguity: Google recommends JSON-LD for structured data; a small, accurate data layer helps engines match your entity, services and claims to queries. Google for Developers+1
Accuracy is scrutinised: AI summaries can be imperfect; being specific and well-sourced helps minimise misquotes. WIRED

Bottom line: You’ll win inclusion by making your pages answer-ready—clear definitions, visible proof, and simple structure.

2. The 90-day roadmap (built for busy teams)

You’ll work in three sprints—Clarity, Credibility, and Structure & Scale—with a light governance layer that keeps improvements in shape.

Sprint 1 (Weeks 1–3): Clarity

Goal: Explain what you do so a first-time reader (and an answer engine) can’t miss it.

1) Define your top 3 jobs
Pick the three pages that most influence revenue (Home or “What we do”, your #1 Service, your #2 Service).

2) Add a one-line definition to each page
Use: “We help [who] do [what] so they can [result].”

Place it above the fold, then add a 2–3 sentence elaboration that uses customer language.

3) Tighten your service names

Choose one name per service and use it everywhere (site, LinkedIn, proposals).
Avoid internal jargon; favour the phrase customers actually type.

4) Refresh the About page for disambiguation

Legal/trading name, contact route, leadership, one-paragraph story.
Link to authoritative profiles (e.g., LinkedIn, Companies House/Wikidata if relevant).
Add a copyright year and “last updated” stamp on long guides.

5) Draft three FAQs per key page
Short, honest answers to the questions buyers ask (price ranges; who it’s for; how it works).
Mark them visually (we’ll add schema in Sprint 3).

Deliverables by end of Week 3

One-line definition and short intro on top 3 pages
Clean service names site-wide
Refreshed About hub with official profiles
Three real FAQs per key page

Why this works: It aligns with people-first content principles and makes your content scannable and answer-ready. Google for Developers

Sprint 2 (Weeks 4–8): Credibility

Goal: Show proof that’s easy to check. Evidence beats adjectives.

1) Add a visible “Evidence box” to each key page
Structure every box the same way:

Result: 1–2 lines describing the outcome (reduced churn, faster onboarding, more inbound enquiries).
Number: One relevant stat with a date and link to a supporting source (report, dashboard screenshot, client approval).
Quote: A short named testimonial with permission, or a paraphrased insight with “— Finance Director, B2B SaaS”.

2) Cite primary sources

Where possible, link to first-party data, reputable standards, or official documents.
Date every claim. If evidence is older than 24 months, either re-validate or clearly provide context.

3) Add authorship and review stamps where it matters

On complex or regulated topics, include a byline and reviewer note.
This mirrors the expectations baked into rater guidance around expertise and trust. guidelines.raterhub.com

4) Publish one keystone guide

Layout: definition → context → “when to use” decision checklist → comparison table → evidence box → FAQs.
Write in plain English, but include methods and links for verification.

Deliverables by end of Week 8

Evidence boxes on your top 3 pages
At least one fresh, citable guide
Clear authorship/reviewer on sensitive pages

Why this works: It demonstrates E-E-A-T-friendly signals—visible expertise, provenance and recency—without turning the site into a technical project. Google for Developers+1

Sprint 3 (Weeks 9–12): Structure & scale

Goal: Make your clarity and credibility machine-legible—then repeat safely.

1) Add the minimal JSON-LD data layer

Site-wide: Organization (name, URL, logo; sameAs to official profiles) and WebSite.
Per page: WebPage + Article (for guides) or Service (for services).
Optional: FAQPage if a page has 3+ Q&As; BreadcrumbList for context.
Google recommends JSON-LD; keep it brief and correct. Google for Developers+1

2) Standardise page patterns in your CMS
Create reusable blocks for definition, evidence, and FAQs so the layout is consistent and easy to extract.

3) Introduce a small “prompt pack”

Voice & style (do/don’t examples).
Positioning (who we serve, promise, proof).
Safety (claims we never make; topics that need review).
This turns strategy into reusable instructions for AI tools, reducing drift and speeding up production.

4) Measurement loop

Track five to ten priority queries: are you cited in AI answers?
Watch enquiry quality/volume, proof coverage (% of pages with result/number/quote), and JSON-LD validity (basic checks).

Deliverables by end of Week 12

Minimal JSON-LD live on key pages
Reusable definition/evidence/FAQ components
Prompt pack v1 published internally
Monthly “answer inclusion” spot-check process

Why this works: It adds just enough structure to help engines recognise and reuse your content while giving your team repeatable ways to expand. Google for Developers

3. What “good” looks like (examples you can emulate)

Page opening

We help owner-managed businesses understand their cash flow and plan 12–18 months ahead—so decisions feel proactive, not reactive.

Evidence box

Result: Cut debtor days from 62 → 42 in one quarter.
Number: +19% inbound calls from organic search (May–June 2025).
Quote: “We finally know where the money’s going.” — Finance Director, B2B services

Comparison table (transparent)

Option	Best for	Trade-offs
Advisory package	Complex, changing needs	Higher monthly cost
One-off project	Clear, bounded problem	Less support after delivery

FAQ (3)

Do we need new tooling? — Not initially; we’ll use what you have.
Will prices be fixed? — We offer a range and explain what changes it.
How long until we see improvement? — Often weeks for clarity/proof; inclusion in answers varies.

4. KPIs that actually matter

Citation presence: % of your priority queries where your page is cited in answer experiences.
Proof coverage: % of key pages with a result, number, and named quote.
Inquiry quality & volume: Conversion-adjacent metrics beat raw traffic.
Schema health: Pages with valid JSON-LD and working links.
Content velocity: Time from idea → published using the new components.

Start small and stable: one dashboard, five metrics.

5. Risk management & common pitfalls

Over-engineering the data layer
Keep JSON-LD minimal and accurate; resist adding types you don’t need. Google endorses JSON-LD but quality beats quantity. Google for Developers
Unverifiable claims
If a number has no source, don’t publish it. Rater guidelines reward reliable, reviewed content. guidelines.raterhub.com
Inconsistent naming
If your service has three names online, consolidation comes first—before any schema.
Assuming AI is always right
AI summaries can be wrong or outdated; clear, dated, source-linked pages reduce the risk of misquotes. WIRED

6. Toolkit (templates you can copy)

Definition block (top of page)

We help [who] do [what] so they can [result].

Evidence box

Result: [short outcome]
Number: [stat + date]
Quote: “[short line]” — [Name, Role]
Method/source: [one sentence + link]

Prompt pack (internal doc)

Voice: Clear, concise, buyer-friendly. Avoid jargon.
Positioning: Audience, problems, promise, three proof points.
Safety: We never claim X; Y topics go to compliance.
Examples: A good paragraph; a poor paragraph.

Minimal JSON-LD skeleton (per guide page)

Organization + WebSite (site-wide)
WebPage + Article (plus optional FAQPage/BreadcrumbList)

7. Buying committee-friendly messaging (for SMEs)

Owner/MD: “No rebuild—just clarity, proof and light structure.”
Sales: “Prospects ‘get it’ sooner; fewer off-target leads.”
Ops: “We’ll reuse components—less rewriting.”
Finance: “Track what matters: citations, proof coverage, enquiry quality.”
Compliance: “Guardrails and review points are explicit.”

8. Frequently asked questions

Do we need more content to appear in AI answers?
Not at first. Fix clarity on core pages, add proof boxes, and publish one keystone guide. That mix already aligns with Google’s people-first guidance. Google for Developers

What’s the minimum structured data we should use?
Organization, WebSite, and per page WebPage + Article or Service. Google recommends JSON-LD and provides documentation and tests. Google for Developers+1

How do we tell if we’re “included” in answers?
Pick 5–10 priority queries. Each month, check whether AI answers cite your pages and log movement. Pair this with enquiry quality/volume so you’re measuring outcomes, not just impressions.

Could AI misquote us?
It can happen. The best defence is clear, dated, source-linked claims. If you spot an issue, tighten the page language and evidence; log it, improve, and recheck. WIRED

9. References (selected)

Google: AI Overviews rollout and expansion; helpful, people-first content; structured data intro; structured data technical guidelines. Google for Developers+4blog.google+4blog.google+4
Search Quality Rater Guidelines: expectations around page quality, expertise and reliability. guidelines.raterhub.com
Brand research: Keller (1993) Customer-Based Brand Equity; Aaker (1996) Building Strong Brands. SAGE Journals+1
On AI accuracy: reporting on limitations and errors in AI Overviews. WIRED