SEO Playbook for Startups

A long-term plan for organic search, built on the keywords closest to a purchase

Seven steps to decide whether SEO pays back, score keywords on intent and fit, plan the pages a buyer reads before choosing, fix what blocks indexing, write pages that finish the searcher’s task, earn links honestly and review search against pipeline each month. One fictional company is worked through every step.

By Saroj Jha, founder of AAJ. 22 min read, 7 steps, 8 figures, 15 references.

SEO pays a startup when buyers already search for the problem, the old way or the alternatives, and a customer is worth enough to wait months for. Model the payback before you spend, score phrases on how close the searcher is to buying and how fully you answer them, and build the pages a buyer reads just before choosing: product, comparison, use-case and integration pages first, thought leadership last. Keep Google able to fetch and index every page, earn links honestly, and judge the work each month on pipeline, not traffic.

What you will build

  1. Step 1 A payback model Five inputs, two cases and a checkpoint month, before any money is spent
  2. Steps 2 and 3 A scored keyword list and a page plan Phrases scored on intent and fit, and 20 pages close to a purchase in order
  3. Steps 4 and 5 Pages Google can index, written to finish the task Five checks in the order Google meets them, and a page pattern for comparisons
  4. Steps 6 and 7 Honest links and a monthly review The links you are owed, and one sheet from Search Console to pipeline

Worked example: Example Co., a fictional seed-stage company that turns sales-call recordings into CRM notes, runs through every step. Pairs with the Content Brief Builder and the Crawl-to-Citation Scorer.

Founders usually ask me for “more blog posts”. In my view, that is where most early SEO money goes to waste, because the pages that pay back first are the plain ones: what the product does, how it compares, whether it fits a team like mine and whether it works with what I already run. They rank on small searches a young domain can win, and sales can send the same pages to prospects.

This playbook is the long-term system: the money question, the keyword choice, the page plan, the technical checks, the writing, the links and the monthly review. When to start and the first afternoon of basics are in SEO for Startups, and the terms SEO, GEO and AEO are explained in How to Get Found Online. Being cited in AI answers has its own playbook, the GEO & AEO Playbook; this one is classic organic search.

Step 1 of 7

Decide whether SEO fits, then model the month it pays back

SEO fits when three things hold. Buyers search for your problem, the way they do the job today or the tools they could switch from, in words you can name; a customer brings enough gross profit to be worth waiting months for; and your runway outlasts the wait. If your category is so new that nobody searches for it, write only the few pages near a purchase and put the rest of the budget into outbound or partners.

Nobody can promise you a date. Google’s own page on hiring an SEO says “No one can guarantee a #1 ranking on Google”[1]. So write your own model, label every assumption, and replace each one with real numbers as Search Console starts to report them.

The model needs five inputs: pages a month and their cost, visits a page draws once it ranks and the months before it does, the share of visits that ask for a demo, your close rate, and gross profit per customer a month. Add up cost and gross profit month by month; the program pays back in the month the second catches the first (Figure 1). Then halve the visits and run it again, because that is the number you know least.

My rule of thumb, not a benchmark: if the plan pays back inside your runway only when the visits arrive in full, set a checkpoint before you start. Name the month, the share of planned visits you must reach by then, and where the money goes if you miss it.

Figure 1 On Example Co.’s plan, search pays back in month 18; at half the visits, not until month 24
  • Cumulative gross profit, plan
  • Cumulative gross profit, half the visits
  • Cumulative cost, $3,000 a month
$0 $40k $80k $120k $160k

Month 18 pays back on plan

Runway ends month 20

Month 24 at half the visits

0 6 12 18 24

Months from the first page

Show the numbers as a table
Month Visits that month Paying customers Cumulative cost Cumulative gross profit, plan Same, half the visits
3 0 0.0 $9,000 $0 $0
6 240 0.9 $18,000 $430 $215
9 480 4.4 $27,000 $3,705 $1,853
12 720 10.3 $36,000 $12,517 $6,259
15 960 18.5 $45,000 $29,398 $14,699
18 1,200 28.9 $54,000 $56,731 $28,365
21 1,440 41.4 $63,000 $96,760 $48,380
24 1,680 55.7 $72,000 $151,596 $75,798

The plan: 4 new pages a month for $3,000; each page draws 20 visits a month from its fourth month; 1.5% of visits request a demo; 25% of demos become customers a month later; each customer brings $450 × 80% = $360 gross profit a month, and 2% cancel each month. Pays back = cumulative gross profit reaches cumulative cost. Lines are drawn to scale. These are Example Co.’s planning assumptions, not benchmarks. Example Co. and its numbers are fictional.

Step 2 of 7

Choose keywords from your buyers’ words, scored on intent and fit

SEO for Startups covers where the phrases come from: sales calls, demo requests and support tickets first, then Search Console, then a keyword tool. This step puts that list in order. Score every phrase twice, from 1 to 10: intent, meaning how close the searcher is to buying, and fit, meaning how fully your product answers it.

Intent follows the buying journey. Someone searching for an alternative to a tool, an integration or your kind of product for a specific job is choosing; someone searching for a definition is learning. I judge it from what already ranks: product and comparison pages on the first page of results mean a buyer, guides mean a learner.

Fit stops you chasing traffic you can’t convert. A phrase can sit close to a purchase and still be wrong for you, such as a consumer searching for a free app when you sell to sales teams. Write first for the phrases high on both (Figure 2); those high on fit but early in the journey become the cluster in Step 3, and the rest wait or go.

Then use the buyer’s words on the page. Google’s Search Essentials advises using the words people would use to look for your content, in prominent places such as the title and main heading[2]. Once pages are indexed, the Queries tab of the Performance report in Search Console shows the phrases that actually found you[3]; score the new ones each month.

Figure 2 Five of Example Co.’s phrases are close to a purchase and answered by its product; those pages come first

How well Example Co. answers it

Write next, as the cluster Write first Thought leadership, later Not your buyer: skip 1 2 3 4 5 6 7 8 9 10 11

How close the searcher is to buying

  1. 1 “[current tool] alternative for small teams”Comparison, intent 9, fit 7
  2. 2 “[CRM] call logging integration”Integration, intent 8, fit 9
  3. 3 “automatic CRM notes from sales calls”Product, intent 7, fit 9
  4. 4 “call recording software for sales managers”Use case, intent 8, fit 6
  5. 5 “sales call notes template”The old way, intent 6, fit 7
  6. 6 “reps not logging calls in CRM”Problem, intent 4, fit 8
  7. 7 “follow-up email after a sales call”Problem, intent 3, fit 6
  8. 8 “call notes for new sales reps”Problem, intent 5, fit 6
  9. 9 “sales coaching tips for managers”Thought leadership, intent 2, fit 3
  10. 10 “what is conversation intelligence”Definition, intent 1, fit 2
  11. 11 “free AI meeting notes app”Wrong buyer, intent 7, fit 2
Show the numbers as a table
# Phrase Kind Intent Fit
1 [current tool] alternative for small teams Comparison 9 7
2 [CRM] call logging integration Integration 8 9
3 automatic CRM notes from sales calls Product 7 9
4 call recording software for sales managers Use case 8 6
5 sales call notes template The old way 6 7
6 reps not logging calls in CRM Problem 4 8
7 follow-up email after a sales call Problem 3 6
8 call notes for new sales reps Problem 5 6
9 sales coaching tips for managers Thought leadership 2 3
10 what is conversation intelligence Definition 1 2
11 free AI meeting notes app Wrong buyer 7 2

Each phrase scored 1 to 10 for intent (how close the searcher is to buying) and fit (how fully Example Co. answers it), with the lines at 5.5. The scores are Example Co.’s judgement and the scoring is my structure, not a benchmark. Phrases in brackets stand for a real product name. Example Co. and its numbers are fictional.

Step 3 of 7

Plan the pages a buyer reads just before choosing, and leave thought leadership for last

Write in this order: product pages, comparison pages, use-case pages, integration pages, problem pages, and thought leadership last. In my view, this order matters more at seed than any other SEO decision. The early pages convert, they rank on searches small enough for a young domain, and your sales team can use them on the next call.

Each type answers one buying question. A product page says what it does and what it costs; a comparison page sets you honestly against the old way or a named tool; a use-case page shows a team like the reader’s; an integration page confirms it works with what they run; a problem page explains how to fix the pain. Give each page one phrase from Step 2, and each phrase one page.

Integration and use-case pages tempt founders to stamp out near-copies with a name swapped. Google’s spam policies define doorway abuse as “when sites or pages are created to rank for specific, similar search queries”[4]. Write a page only where you have something specific to say, and before any templated build, check whether it pays back with the Programmatic SEO skill listed under “Use with this playbook”.

Link the pages together as you publish. Google’s link guidance says “every page you care about should have a link from at least one other page on your site”, with anchor text that is “descriptive, reasonably concise, and relevant”[5]. Producing the pages on a calendar, with briefs and an owner for each, is covered in the Content Creation Playbook.

Figure 3 Twenty pages close to a purchase go live before any thought leadership

Page type Month 1 Month 2 Month 3 Month 4 Month 5 Month 6

  1. Product pages Product and pricing, rewritten around phrase 3 2 pages
  2. Comparison pages Against the old way (phrase 5) and two named tools (phrase 1) 3 pages
  3. Use-case pages Sales managers (phrase 4), new-rep onboarding, founders who sell 3 pages
  4. Integration pages One for each CRM and calendar it connects to (phrase 2) 4 pages
  5. Problem pages The cluster: a main page and seven posts (phrases 6 to 8) 8 pages
  6. Thought leadership Starts with one original data study, then four pages a month 4 pages

Four new pages every month. Twenty pages close to a purchase are live before the first piece of thought leadership.

Show the numbers as a table
Page type Pages Months
Product pages 2 1
Comparison pages 3 1 to 2
Use-case pages 3 2
Integration pages 4 3
Problem pages 8 4 to 5
Thought leadership 4 6

Example Co.’s first six months (Step 3), at the four pages a month of the Step 1 plan. Each bar spans the months it is written in, to scale. The order is my structure; the phrase numbers refer to Figure 2. Example Co. and its numbers are fictional.

Step 4 of 7

Fix what stops Google fetching, rendering and indexing your pages

A page Google can’t fetch, render or pick as the canonical won’t rank, however good it is. Meeting Google’s requirements “doesn’t mean that Google will crawl, index, or serve” a page[2], but missing them means it can’t. Four things break as a site grows: rendering, sitemaps, canonicals and speed. Check them in the order Google meets them (Figure 4).

Rendering

Google processes JavaScript pages in three phases, crawling, rendering and indexing, and calls server-side rendering or prerendering “still a great idea” because “not all bots can run JavaScript”[6]. It finds links only when they are <a> elements with an href, so a menu built from click handlers hides the pages behind it. URL Inspection in Search Console shows a screenshot and the HTML of the page as Google’s tool renders it[7]; AI crawlers are stricter, and the GEO & AEO Playbook covers them.

Sitemaps and canonicals

List only the full addresses you want in search results. A sitemap holds up to 50,000 URLs or 50MB, and Google uses the lastmod date only when it is “consistently and verifiably” accurate and ignores priority and changefreq[8]. When one page lives at several addresses, a redirect or a rel="canonical" link is a strong signal and sitemap inclusion a weak one, and Google says not to use robots.txt for canonicalization[9].

Don’t chase a fully indexed site. The Page indexing report says “You should not expect all URLs on your site to be indexed, only the canonical pages”[10]. What matters is that the pages from Step 3 are among them.

Speed

web.dev sets the good thresholds for Core Web Vitals: the largest content appears within 2.5 seconds, the page responds to input within 200 milliseconds, and the layout shifts by 0.1 or less, measured at the 75th percentile of page loads, mobile and desktop separately[11]. Fix a page that is far off. How much weight speed deserves next to content is in SEO for Startups.

Figure 4 Check a missing page in the order Google meets it, and fix the first check that fails
  1. 1 Can Googlebot fetch it? URL Inspection shows no robots.txt block and no noindex Yes If no Remove the block, then request indexing once
  2. 2 Is the main content in the rendered HTML? In URL Inspection, view the tested page and read the HTML Yes If no Render on the server or prerender; make every link an <a> with an href
  3. 3 Is it linked from an indexed page, and in the sitemap? At least one internal link with descriptive anchor text Yes If no Link it from a related page and list its address in the sitemap
  4. 4 Is Google’s canonical the one you declared? URL Inspection shows both side by side Yes If no Redirect old addresses, add rel="canonical" to duplicates, list only canonicals in the sitemap
  5. 5 Is it fast enough on real visits? Largest content in 2.5 s, response in 200 ms, layout shift 0.1 or less, for 75% of visits Yes If no Fix the largest element first: an image, a video or a slow script

Technically eligible. Whether it is indexed and ranks now depends on the page itself (Step 5)

The order of checks is my structure. Each check is from Google’s own pages: URL Inspection[7], JavaScript[6], links[5], sitemaps[8], canonicals[9] and the Core Web Vitals thresholds on web.dev[11].

Step 5 of 7

Write each page so the searcher leaves with the task done

A page ranks and converts when it finishes the job the search started. Google’s helpful-content guidance asks: “After reading your content, will someone leave feeling they’ve learned enough about a topic to help achieve their goal?” It also asks whether the content provides “original information, reporting, research, or analysis”[12].

For a page close to a purchase, that means five parts: the answer first, the facts side by side in text, who it isn’t for, one proof point a reader could check, and one next step (Figure 5). Length follows the question, not a target. Google’s starter guide says “The length of the content alone doesn’t matter for ranking purposes”[13].

Write the title and description for the person searching. Google describes a good title as “unique to the page, clear and concise”, and a good meta description as “short, unique to one particular page” and including “the most relevant points of the page”[13]. Brief every page before anyone writes it: the free Content Brief Builder reads the intent from what ranks, drafts the answer block and checks that the new page won’t compete with one you already have.

Write from what only your team knows: the objections you hear on calls, your product’s real limits, numbers from your own system. In my view, a page without one of those adds nothing a buyer can’t find on a competitor’s site.

Figure 5 A comparison page that answers the query in its first two sentences, and says who it isn’t for
example.com › compare › manual-call-notes Example Co. vs taking call notes by hand: time, accuracy, cost How long manual CRM notes take after each call, what gets missed, and when writing them by hand is still the better choice.

Example Co. vs taking call notes by hand

If your reps log fewer than half their calls, Example Co. writes the CRM note and follow-up email from the recording, so every call is logged without extra typing. If your team runs fewer than ten calls a week, notes by hand are cheaper and good enough.

By hand Example Co. Time per call About 15 min Review, about 2 min Calls logged Whatever reps remember Every recorded call Cost Rep time $45 a seat a month

Who it isn’t for. Teams that can’t record calls, and teams with fewer than ten calls a week.

One customer’s team went from 41% of calls logged to 96% in a month (checked against its CRM).

See a sample note Book a demo

  1. 1 Title and description. Unique to the page and clear about what it holds.
  2. 2 The answer, first. Who should choose which, in two sentences.
  3. 3 The facts side by side. In text, not in an image.
  4. 4 Who it isn’t for. A fair page earns the reader’s trust.
  5. 5 Proof you can check. One customer, one number, from a real system.

Example Co.’s page for phrase 5 in Figure 2 (Step 5). The title and description follow Google’s guidance[13]; the layout is my structure. The page, the address and the customer result are fictional, as is Example Co.

Step 6 of 7

Earn links by being worth citing, and never buy them

Links do two jobs: they help Google find your pages, and they show that other sites vouch for them. Google’s starter guide says “Google primarily finds pages through links from other pages it already crawled”[13]. For a seed company, the honest sources are close at hand (Figure 6).

Start with the links you are owed: every integration partner’s directory, every marketplace that lists you, every customer who writes about how their team works. Then make one asset that others want to cite, such as an original data study with its method on the page. Pitching it is covered in the Earned Media Playbook, and pages with partners in the Partner Co-Marketing Playbook.

Google’s spam policies define link spam as “the practice of creating links to or from a site primarily for the purpose of manipulating search rankings”, and name buying links, excessive link exchanges and keyword-rich links in guest posts[4]. If you pay for a placement, mark the link rel="sponsored", which Google reserves for “advertisements or paid placements”[14].

My rule of thumb, not a benchmark: count the new sites that linked to you this quarter because they chose to, and ignore any tool’s authority score. One relevant partner directory is worth more than twenty posts on sites your buyers never read.

Figure 6 Earn links by being worth citing; Google’s spam policies name the shortcuts

Earns a link honestly

  • A listing in each integration partner’s directory, after its own review
  • An original data study that others quote, with the method on the page
  • A customer’s write-up of how their team works, if they choose to link
  • A talk, podcast or guest article that teaches something, with a plain byline link
  • Any paid placement marked rel="sponsored"

Link spam, as Google names it

  • “Buying or selling links for ranking purposes”
  • “Excessive link exchanges”, or partner pages kept only for cross-linking
  • “links with optimized anchor text in articles, guest posts, or press releases distributed on other sites”
  • A package of guest posts sold by the dozen, whatever it is called

The quoted lines are from Google’s spam policies[4]; the sponsored attribute from Google’s guidance on outbound links[14]. The last line on each side is my reading, not Google’s wording.

Step 7 of 7

Measure search against pipeline, in a 30-minute review each month

Search Console sees SEO working before your analytics do. Its Performance report counts clicks, “the number of times a user clicked your site from Google Search results”, impressions, “how many times your site appeared in Search results”, and click-through rate, “the click count divided by the impression count”[3]. Filter it to the pages you built in Step 3, because searches for your own name hide everything else.

Then follow the visit to money. Record each demo request’s landing page, and add an open “How did you hear about us?” field, so every demo, opportunity and customer from search is counted with its value. Setting up the analytics is covered in Tracking Setup with GA4 and UTMs, and crediting channels in the Analytics & Attribution Playbook.

Review once a month, for 30 minutes, with one owner and one sheet: the plan beside the actual, and no more than three decisions (Figure 8). Look for pages with many impressions and few clicks, which need a better title, and queries nobody planned for, which need a page. A request in URL Inspection can speed up one page, but “Submitting a request does not guarantee that the page will appear in the Google Index”, and there is a daily limit[7].

Judge the program at the checkpoint you set in Step 1, not on one bad month. The first three months show almost nothing in traffic (Figure 7), and visibility in Google’s AI features is measured separately, as the GEO & AEO Playbook explains.

Figure 7 On the plan, the first customer from search arrives in month 7, and payback in month 18

Month of the plan

  1. 1 First four pages live Check each one is indexed
  2. 4 First visits from search Plan: 80 in the month
  3. 7 First customer from search Plan: 1.8 by then
  4. 12 10.8 demo requests a month From 36 live pages
  5. 18 Pays back Cumulative gross profit passes cost

0 6 12 18 24

Months 1 to 3 show almost nothing in traffic. Judge them on indexing and impressions in Search Console.

Show the numbers as a table
Month What should show up Plan number
1 First four pages live Check each one is indexed
4 First visits from search Plan: 80 in the month
7 First customer from search Plan: 1.8 by then
12 10.8 demo requests a month From 36 live pages
18 Pays back Cumulative gross profit passes cost

Example Co.’s plan from Step 1, placed on a 24-month scale. The first-customer month is when customers won from search add up to one. Example Co. and its numbers are fictional.

Figure 8 One page a month: the plan beside the actual, and three decisions with an owner

Search review, month 9 Example Co. (fictional), first Monday of the month, 30 minutes

Number Plan Actual Note

Pages indexed 36 published 34 of 36 One comparison page “Crawled - currently not indexed”; one too new to judge

Impressions No plan yet 14,800 Integration pages have 2,100 of them

Visits to the new pages 480 455 95% of plan, from the 24 pages old enough to rank

Demo requests from search 7.2 6 Each confirmed on the demo form

Pipeline from search No plan yet $27,000 5 qualified opportunities × $5,400 a year

New customers from search 1.5 2 Both from comparison pages

Decisions

  1. Rewrite the titles and descriptions of the four integration pages. 2,100 impressions and 13 clicks: a 0.6% click-through rate.
  2. Add “call notes for new sales reps” to the cluster. A query no one planned for, now 900 impressions a month.
  3. Fix the unindexed comparison page. Add the side-by-side table and proof, and link it from the product page.

Head of marketing Owns the review

CEO Reads it the same day

Show the numbers as a table
Number Plan Actual Note
Pages indexed 36 published 34 of 36 One comparison page “Crawled - currently not indexed”; one too new to judge
Impressions No plan yet 14,800 Integration pages have 2,100 of them
Visits to the new pages 480 455 95% of plan, from the 24 pages old enough to rank
Demo requests from search 7.2 6 Each confirmed on the demo form
Pipeline from search No plan yet $27,000 5 qualified opportunities × $5,400 a year
New customers from search 1.5 2 Both from comparison pages

Example Co.’s review sheet (Step 7). Plan numbers are month 9 of the Step 1 model; pipeline = opportunities × the $5,400 annual contract value ($450 × 12). Click-through rate = clicks ÷ impressions, as Search Console defines it[3]. Example Co. and its numbers are fictional.

What changes by stage?

Pre-seed

Skip the model and the budget. The founder writes the three to five pages closest to a purchase, usually comparisons and integrations, and connects Search Console so the queries start collecting.

Seed

Steps 1 to 7 as written: a payback model with a checkpoint, one owner, a writer at a steady pace, the page plan in Figure 3 and a monthly review.

Series A–B

A page plan for each segment you sell to, a quarterly refresh of the pages that bring pipeline, a developer who runs the Step 4 checks on every release, and templated pages only after a payback check. Links come from a steady earned-media program rather than one-off asks.

What mistakes should I avoid?

  • Spending without a payback model or a checkpoint. You can’t tell a slow start from a failed one (Step 1).
  • Choosing phrases by search volume. Intent and fit decide what converts (Step 2).
  • Starting with thought leadership. The pages buyers read just before choosing come first (Step 3).
  • Stamping out near-identical pages with a name swapped. Google calls it doorway abuse (Step 3).
  • Menus that aren’t real links, and sitemaps full of login pages. Google can’t index what it can’t find (Step 4).
  • Writing to a word count. Write to the question (Step 5).
  • Buying links or guest-post packages. Google names both as link spam (Step 6).
  • Reporting traffic for the whole site. Report pipeline from the pages you built (Step 7).

Common questions

How long does SEO take to work for a startup?

Nobody can tell you in advance, and Google says no one can guarantee a top ranking[1], so treat any confident timeline as a warning sign. What you can do is model it with your own assumptions and test them. On Example Co.’s plan of four pages a month, the first visits from search arrive in month 4, the first customer in month 7 and payback in month 18. The useful habit is to set a checkpoint month and a visit target before you start, then judge the program there rather than on a slow first quarter.

How much should a seed-stage startup spend on SEO?

Work it back from the payback rather than from a percentage of your budget. Put your page cost, a cautious visit estimate, your demo rate, your close rate and gross profit per customer into a simple month-by-month model, and find the spend at which the program pays back inside your runway even at half the visits you hope for. Example Co. spends $3,000 a month on four pages and pays back in month 18 on plan. If no spend passes that test, write only the few pages closest to a purchase and keep the rest for faster channels.

Should I write blog posts or product pages first?

Product and comparison pages first, then use-case and integration pages, then problem pages, and thought leadership last. The early pages answer the questions a buyer asks just before choosing, they rank on searches small enough for a young domain to win, and your sales team can send them to prospects the same week. Blog posts that teach a topic are worth writing once those pages exist and you know which words your buyers use.

Do I need a technical SEO audit before I start?

Not a full one. On a startup site of a few dozen pages, five checks catch most problems: whether Google can fetch each important page, whether the main content appears in the rendered HTML, whether every page is linked and listed in the sitemap, whether Google’s chosen canonical matches yours, and whether the page meets the Core Web Vitals thresholds on real visits. Run them on your most important pages with URL Inspection in Search Console, fix the first failure, and repeat after each release.

Can I use AI to write SEO pages?

You can use it to research, outline and draft, but a person who knows the product should check every claim and add what only your team knows, such as real objections, limits and numbers. Google’s spam policies describe scaled content abuse[4] as many pages generated for the primary purpose of manipulating search rankings and not helping users, whatever tool made them. In my view, the test is whether a page holds something a buyer couldn’t find on a competitor’s site; if it doesn’t, more of it won’t help.

Is SEO still worth it now that AI answers many searches?

For the pages close to a purchase, in my view yes. Google says the best practices for SEO continue to be relevant[15] to its generative AI features, which draw on the same index, and a buyer comparing tools or checking an integration still needs a page to read before booking a demo. Where an AI answer settles a general question, the click may never come, so measure pipeline rather than traffic, and treat being cited in AI answers as a separate job with its own playbook.

Use with this playbook

Playbooks

Articles

Templates and tools

References

  1. Google Search Central. “Do you need an SEO?” Last updated June 5, 2026. Opened November 1, 2026. developers.google.com
  2. Google Search Central. “Google Search Essentials.” Last updated December 10, 2025. Opened November 1, 2026. developers.google.com
  3. Google. “Performance report (Search results): Overview and basic setup.” Search Console Help. Opened November 1, 2026. support.google.com
  4. Google Search Central. “Spam policies for Google web search.” Last updated August 28, 2026. Opened November 1, 2026. developers.google.com
  5. Google Search Central. “Link best practices for Google.” Last updated December 10, 2025. Opened November 1, 2026. developers.google.com
  6. Google Search Central. “Understand the JavaScript SEO basics.” Last updated March 4, 2026. Opened November 1, 2026. developers.google.com
  7. Google. “URL Inspection tool.” Search Console Help. Opened November 1, 2026. support.google.com
  8. Google Search Central. “Build and submit a sitemap.” Last updated July 8, 2026. Opened November 1, 2026. developers.google.com
  9. Google Search Central. “How to specify a canonical URL with rel="canonical" and other methods.” Last updated July 10, 2026. Opened November 1, 2026. developers.google.com
  10. Google. “Page indexing report.” Search Console Help. Opened November 1, 2026. support.google.com
  11. Walton, P. “Web Vitals.” web.dev, Google. Published May 4, 2020, last updated October 31, 2024. Good thresholds for LCP, INP and CLS at the 75th percentile of page loads. Opened November 1, 2026. web.dev
  12. Google Search Central. “Creating helpful, reliable, people-first content.” Last updated October 5, 2026. Opened November 1, 2026. developers.google.com
  13. Google Search Central. “SEO Starter Guide: The Basics.” Last updated December 10, 2025. Opened November 1, 2026. developers.google.com
  14. Google Search Central. “Qualify your outbound links to Google.” Last updated December 10, 2025. Opened November 1, 2026. developers.google.com
  15. Google Search Central. “Optimizing your website for generative AI features on Google Search.” Last updated July 10, 2026. Opened November 1, 2026. developers.google.com

Check the plan before you commit a year to it

Want a second pair of eyes on your payback model, your keyword scores and your page plan before you spend? AAJ can review them against your own funnel.

Or start on your own with the free Content Brief Builder.

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